TY  - CHAP
AU  - Peulić, Aleksandar S.
AU  - Milanković, Ivan
AU  - Mijailović, Nikola V.
AU  - Filipović, Nenad
PY  - 2019
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1383
AB  - Image segmentation is one of the most common procedures in medical imaging applications. It is also very important task in breast cancer detection. Breast cancer detection procedure based on mammography can be divided into several stages. The first stage is the extraction of region of interest from a breast image, after which the identification of suspicious mass regions, their classification, and comparison with the existing image database follows. It is often the case that already existing image databases have large sets of data for which processing requires a lot of time, thus the acceleration of each of the processing stages in breast cancer detection is a very important issue. Image filtering is also one of the most common and important tasks in image processing applications. It is, in most cases, preprocessing procedure for 3D visualization of an image stack. In order to achieve high-quality 3D visualization of a 2D image stack, it is of particular importance that all the images of the input stack are clear and sharp, thus their filtering should be executed carefully. There are also many algorithms for 3D visualization, so it is important to choose the right one which will execute fast enough and produce satisfied quality. In this chapter, the implementation of the already existing algorithm for region-of-interest-based image segmentation for mammogram images on High-Performance Reconfigurable DataFlow Computers (HPRDC) is proposed. As a DataFlow Engine (DFE) of such HPRDC, Maxeler’s acceleration card is used. The experiments for examining the acceleration of that algorithm on the Reconfigurable DataFlow Computers (RDC) are performed with two types of mammogram images with different resolutions. There were, also, several DFE configurations and each of them gave different acceleration of algorithm execution. Those accelerations are presented and experimental results have been shown good acceleration. Also, image processing using a mean filtering algorithm combined with thresholding and binarization algorithms and 3D visualization of murine lungs using marching cubes method are explained. These algorithms are mapped on the Maxeler’s DFE to significantly increase calculation speed. Optimal algorithm calculation speed was up to 20-fold baseline calculation speed.
PB  - Springer Cham
T2  - Exploring the DataFlow Supercomputing Paradigm: Example Algorithms for Selected Applications
T2  - Part of the book series: Computer Communications and Networks (CCN)
T1  - Biomedical Images Processing Using Maxeler DataFlow Engines
SP  - 197
EP  - 227
DO  - 10.1007/978-3-030-13803-5_7
ER  - 

@inbook{
author = "Peulić, Aleksandar S. and Milanković, Ivan and Mijailović, Nikola V. and Filipović, Nenad",
year = "2019",
abstract = "Image segmentation is one of the most common procedures in medical imaging applications. It is also very important task in breast cancer detection. Breast cancer detection procedure based on mammography can be divided into several stages. The first stage is the extraction of region of interest from a breast image, after which the identification of suspicious mass regions, their classification, and comparison with the existing image database follows. It is often the case that already existing image databases have large sets of data for which processing requires a lot of time, thus the acceleration of each of the processing stages in breast cancer detection is a very important issue. Image filtering is also one of the most common and important tasks in image processing applications. It is, in most cases, preprocessing procedure for 3D visualization of an image stack. In order to achieve high-quality 3D visualization of a 2D image stack, it is of particular importance that all the images of the input stack are clear and sharp, thus their filtering should be executed carefully. There are also many algorithms for 3D visualization, so it is important to choose the right one which will execute fast enough and produce satisfied quality. In this chapter, the implementation of the already existing algorithm for region-of-interest-based image segmentation for mammogram images on High-Performance Reconfigurable DataFlow Computers (HPRDC) is proposed. As a DataFlow Engine (DFE) of such HPRDC, Maxeler’s acceleration card is used. The experiments for examining the acceleration of that algorithm on the Reconfigurable DataFlow Computers (RDC) are performed with two types of mammogram images with different resolutions. There were, also, several DFE configurations and each of them gave different acceleration of algorithm execution. Those accelerations are presented and experimental results have been shown good acceleration. Also, image processing using a mean filtering algorithm combined with thresholding and binarization algorithms and 3D visualization of murine lungs using marching cubes method are explained. These algorithms are mapped on the Maxeler’s DFE to significantly increase calculation speed. Optimal algorithm calculation speed was up to 20-fold baseline calculation speed.",
publisher = "Springer Cham",
journal = "Exploring the DataFlow Supercomputing Paradigm: Example Algorithms for Selected Applications, Part of the book series: Computer Communications and Networks (CCN)",
booktitle = "Biomedical Images Processing Using Maxeler DataFlow Engines",
pages = "197-227",
doi = "10.1007/978-3-030-13803-5_7"
}

Peulić, A. S., Milanković, I., Mijailović, N. V.,& Filipović, N.. (2019). Biomedical Images Processing Using Maxeler DataFlow Engines. in Exploring the DataFlow Supercomputing Paradigm: Example Algorithms for Selected Applications
Springer Cham., 197-227.
https://doi.org/10.1007/978-3-030-13803-5_7

Peulić AS, Milanković I, Mijailović NV, Filipović N. Biomedical Images Processing Using Maxeler DataFlow Engines. in Exploring the DataFlow Supercomputing Paradigm: Example Algorithms for Selected Applications. 2019;:197-227.
doi:10.1007/978-3-030-13803-5_7 .

Peulić, Aleksandar S., Milanković, Ivan, Mijailović, Nikola V., Filipović, Nenad, "Biomedical Images Processing Using Maxeler DataFlow Engines" in Exploring the DataFlow Supercomputing Paradigm: Example Algorithms for Selected Applications (2019):197-227,
https://doi.org/10.1007/978-3-030-13803-5_7 . .

TY  - CONF
AU  - Mijailović, Nikola V.
AU  - Radaković, Radivoje
AU  - Peulić, Aleksandar
AU  - Vidanović, Neda
AU  - Dimitrijević, Djordje
AU  - Filipović, Nenad
PY  - 2018
UR  - https://gery.gef.bg.ac.rs/handle/123456789/918
AB  - In this paper the basic information about methodology of assessment human body stiffness during vertical jump analysis is presented. Ten subjects (professional football player) perform ten periodic jumps and vertical ground reaction force is measured using a force plate with one axial load cell force sensor. The stiffness calculation is based on the analogy of the periodic jumping and oscillation movement of the system which consists of spring and body appropriate mass. The frequency of oscillation is obtained using Fourier transform.
PB  - Springer Verlag
C3  - Conference proceedings of the International Symposium: Pervasive Computing Paradigms for Mental Health
C3  - Book series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)
T1  - Assessment of mechanical stiffness of jumping using force plate
VL  - 207
SP  - 81
EP  - 86
DO  - 10.1007/978-3-319-74935-8_11
UR  - https://hdl.handle.net/21.15107/rcub_gery_918
ER  - 

@conference{
editor = "Oliver, Nuria, Serino, Silvia, Matic, Aleksandar, Cipresso, Pietro, Filipovic, Nenad, Gavrilovska, Liljana",
author = "Mijailović, Nikola V. and Radaković, Radivoje and Peulić, Aleksandar and Vidanović, Neda and Dimitrijević, Djordje and Filipović, Nenad",
year = "2018",
abstract = "In this paper the basic information about methodology of assessment human body stiffness during vertical jump analysis is presented. Ten subjects (professional football player) perform ten periodic jumps and vertical ground reaction force is measured using a force plate with one axial load cell force sensor. The stiffness calculation is based on the analogy of the periodic jumping and oscillation movement of the system which consists of spring and body appropriate mass. The frequency of oscillation is obtained using Fourier transform.",
publisher = "Springer Verlag",
journal = "Conference proceedings of the International Symposium: Pervasive Computing Paradigms for Mental Health, Book series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)",
title = "Assessment of mechanical stiffness of jumping using force plate",
volume = "207",
pages = "81-86",
doi = "10.1007/978-3-319-74935-8_11",
url = "https://hdl.handle.net/21.15107/rcub_gery_918"
}

Oliver, N., Serino, S., Matic, A., Cipresso, P., Filipovic, N., Gavrilovska, L., Mijailović, N. V., Radaković, R., Peulić, A., Vidanović, N., Dimitrijević, D.,& Filipović, N.. (2018). Assessment of mechanical stiffness of jumping using force plate. in Conference proceedings of the International Symposium: Pervasive Computing Paradigms for Mental Health
Springer Verlag., 207, 81-86.
https://doi.org/10.1007/978-3-319-74935-8_11
https://hdl.handle.net/21.15107/rcub_gery_918

Oliver N, Serino S, Matic A, Cipresso P, Filipovic N, Gavrilovska L, Mijailović NV, Radaković R, Peulić A, Vidanović N, Dimitrijević D, Filipović N. Assessment of mechanical stiffness of jumping using force plate. in Conference proceedings of the International Symposium: Pervasive Computing Paradigms for Mental Health. 2018;207:81-86.
doi:10.1007/978-3-319-74935-8_11
https://hdl.handle.net/21.15107/rcub_gery_918 .

Oliver, Nuria, Serino, Silvia, Matic, Aleksandar, Cipresso, Pietro, Filipovic, Nenad, Gavrilovska, Liljana, Mijailović, Nikola V., Radaković, Radivoje, Peulić, Aleksandar, Vidanović, Neda, Dimitrijević, Djordje, Filipović, Nenad, "Assessment of mechanical stiffness of jumping using force plate" in Conference proceedings of the International Symposium: Pervasive Computing Paradigms for Mental Health, 207 (2018):81-86,
https://doi.org/10.1007/978-3-319-74935-8_11 .,
https://hdl.handle.net/21.15107/rcub_gery_918 .

TY  - JOUR
AU  - Milanković, Ivan L.
AU  - Mijailović, Nikola V.
AU  - Filipović, Nenad
AU  - Peulić, Aleksandar
PY  - 2017
UR  - https://gery.gef.bg.ac.rs/handle/123456789/833
AB  - Image segmentation is one of the most common procedures in medical imaging applications. It is also a very important task in breast cancer detection. Breast cancer detection procedure based on mammography can be divided into several stages. The first stage is the extraction of the region of interest from a breast image, followed by the identification of suspicious mass regions, their classification, and comparison with the existing image database. It is often the case that already existing image databases have large sets of data whose processing requires a lot of time, and thus the acceleration of each of the processing stages in breast cancer detection is a very important issue. In this paper, the implementation of the already existing algorithm for region-of-interest based image segmentation for mammogram images on High-Performance Reconfigurable Dataflow Computers (HPRDCs) is proposed. As a dataflow engine (DFE) of such HPRDC, Maxeler's acceleration card is used. The experiments for examining the acceleration of that algorithm on the Reconfigurable Dataflow Computers (RDCs) are performed with two types of mammogram images with different resolutions. There were, also, several DFE configurations and each of them gave a different acceleration value of algorithm execution. Those acceleration values are presented and experimental results showed good acceleration.
PB  - Hindawi Ltd, London
T2  - Computational and Mathematical Methods In Medicine
T1  - Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers
DO  - 10.1155/2017/7909282
UR  - https://hdl.handle.net/21.15107/rcub_gery_833
ER  - 

@article{
author = "Milanković, Ivan L. and Mijailović, Nikola V. and Filipović, Nenad and Peulić, Aleksandar",
year = "2017",
abstract = "Image segmentation is one of the most common procedures in medical imaging applications. It is also a very important task in breast cancer detection. Breast cancer detection procedure based on mammography can be divided into several stages. The first stage is the extraction of the region of interest from a breast image, followed by the identification of suspicious mass regions, their classification, and comparison with the existing image database. It is often the case that already existing image databases have large sets of data whose processing requires a lot of time, and thus the acceleration of each of the processing stages in breast cancer detection is a very important issue. In this paper, the implementation of the already existing algorithm for region-of-interest based image segmentation for mammogram images on High-Performance Reconfigurable Dataflow Computers (HPRDCs) is proposed. As a dataflow engine (DFE) of such HPRDC, Maxeler's acceleration card is used. The experiments for examining the acceleration of that algorithm on the Reconfigurable Dataflow Computers (RDCs) are performed with two types of mammogram images with different resolutions. There were, also, several DFE configurations and each of them gave a different acceleration value of algorithm execution. Those acceleration values are presented and experimental results showed good acceleration.",
publisher = "Hindawi Ltd, London",
journal = "Computational and Mathematical Methods In Medicine",
title = "Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers",
doi = "10.1155/2017/7909282",
url = "https://hdl.handle.net/21.15107/rcub_gery_833"
}

Milanković, I. L., Mijailović, N. V., Filipović, N.,& Peulić, A.. (2017). Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers. in Computational and Mathematical Methods In Medicine
Hindawi Ltd, London..
https://doi.org/10.1155/2017/7909282
https://hdl.handle.net/21.15107/rcub_gery_833

Milanković IL, Mijailović NV, Filipović N, Peulić A. Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers. in Computational and Mathematical Methods In Medicine. 2017;.
doi:10.1155/2017/7909282
https://hdl.handle.net/21.15107/rcub_gery_833 .

Milanković, Ivan L., Mijailović, Nikola V., Filipović, Nenad, Peulić, Aleksandar, "Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers" in Computational and Mathematical Methods In Medicine (2017),
https://doi.org/10.1155/2017/7909282 .,
https://hdl.handle.net/21.15107/rcub_gery_833 .

TY  - JOUR
AU  - Milanković, Ivan L.
AU  - Mijailović, Nikola V.
AU  - Peulić, Aleksandar
AU  - Nikolić, Dalibor
AU  - Končar, Igor
AU  - Exarchos, Themis
AU  - Parodi, Oberdan
AU  - Filipović, Nenad
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/714
AB  - The main goal of this paper is to describe two different systems that were developed for the purpose of abdominal aortic aneurysm mechanical properties investigation and to present the results of the measurements. The first system is based on the "Bubble Inflated" method and it increases the pressure of physiological saline which affects blood vessel tissue and causes mechanical deformation. The system provides recording the data about the current value of the pressure in the physiological saline by using the appropriate pressure sensor. The second system makes stretches of the vessel tissue in uni-axial direction and save the data about the force and the elongation. Both of these systems use cameras for assessment of the deformation. Obtained results from both systems are used for numerical simulation of computer model for abdominal aortic aneurysm. It gives a new avenue for application of software and hardware systems for determination of vascular tissue properties in the clinical practice.
PB  - Beograd : Univerzitet u Beogradu - Mašinski fakultet
T2  - FME Transactions
T1  - Software and Hardware Systems for Abdominal Aortic Aneurysm Mechanical Properties Investigation
VL  - 43
IS  - 2
SP  - 161
EP  - 167
DO  - 10.5937/fmet1502161M
UR  - https://hdl.handle.net/21.15107/rcub_gery_714
ER  - 

@article{
author = "Milanković, Ivan L. and Mijailović, Nikola V. and Peulić, Aleksandar and Nikolić, Dalibor and Končar, Igor and Exarchos, Themis and Parodi, Oberdan and Filipović, Nenad",
year = "2015",
abstract = "The main goal of this paper is to describe two different systems that were developed for the purpose of abdominal aortic aneurysm mechanical properties investigation and to present the results of the measurements. The first system is based on the "Bubble Inflated" method and it increases the pressure of physiological saline which affects blood vessel tissue and causes mechanical deformation. The system provides recording the data about the current value of the pressure in the physiological saline by using the appropriate pressure sensor. The second system makes stretches of the vessel tissue in uni-axial direction and save the data about the force and the elongation. Both of these systems use cameras for assessment of the deformation. Obtained results from both systems are used for numerical simulation of computer model for abdominal aortic aneurysm. It gives a new avenue for application of software and hardware systems for determination of vascular tissue properties in the clinical practice.",
publisher = "Beograd : Univerzitet u Beogradu - Mašinski fakultet",
journal = "FME Transactions",
title = "Software and Hardware Systems for Abdominal Aortic Aneurysm Mechanical Properties Investigation",
volume = "43",
number = "2",
pages = "161-167",
doi = "10.5937/fmet1502161M",
url = "https://hdl.handle.net/21.15107/rcub_gery_714"
}

Milanković, I. L., Mijailović, N. V., Peulić, A., Nikolić, D., Končar, I., Exarchos, T., Parodi, O.,& Filipović, N.. (2015). Software and Hardware Systems for Abdominal Aortic Aneurysm Mechanical Properties Investigation. in FME Transactions
Beograd : Univerzitet u Beogradu - Mašinski fakultet., 43(2), 161-167.
https://doi.org/10.5937/fmet1502161M
https://hdl.handle.net/21.15107/rcub_gery_714

Milanković IL, Mijailović NV, Peulić A, Nikolić D, Končar I, Exarchos T, Parodi O, Filipović N. Software and Hardware Systems for Abdominal Aortic Aneurysm Mechanical Properties Investigation. in FME Transactions. 2015;43(2):161-167.
doi:10.5937/fmet1502161M
https://hdl.handle.net/21.15107/rcub_gery_714 .

Milanković, Ivan L., Mijailović, Nikola V., Peulić, Aleksandar, Nikolić, Dalibor, Končar, Igor, Exarchos, Themis, Parodi, Oberdan, Filipović, Nenad, "Software and Hardware Systems for Abdominal Aortic Aneurysm Mechanical Properties Investigation" in FME Transactions, 43, no. 2 (2015):161-167,
https://doi.org/10.5937/fmet1502161M .,
https://hdl.handle.net/21.15107/rcub_gery_714 .

TY  - CONF
AU  - Mijailović, Nikola V.
AU  - Radaković, Radivoje
AU  - Peulić, Aleksandar
AU  - Milanković, Ivan L.
AU  - Filipović, Nenad
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/733
PB  - Institute of Electrical and Electronics Engineers Inc.
C3  - 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015
T1  - Using force plate, computer simulation and image alignment in jumping analysis
DO  - 10.1109/BIBE.2015.7367672
UR  - https://hdl.handle.net/21.15107/rcub_gery_733
ER  - 

@conference{
author = "Mijailović, Nikola V. and Radaković, Radivoje and Peulić, Aleksandar and Milanković, Ivan L. and Filipović, Nenad",
year = "2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
journal = "2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015",
title = "Using force plate, computer simulation and image alignment in jumping analysis",
doi = "10.1109/BIBE.2015.7367672",
url = "https://hdl.handle.net/21.15107/rcub_gery_733"
}

Mijailović, N. V., Radaković, R., Peulić, A., Milanković, I. L.,& Filipović, N.. (2015). Using force plate, computer simulation and image alignment in jumping analysis. in 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015
Institute of Electrical and Electronics Engineers Inc...
https://doi.org/10.1109/BIBE.2015.7367672
https://hdl.handle.net/21.15107/rcub_gery_733

Mijailović NV, Radaković R, Peulić A, Milanković IL, Filipović N. Using force plate, computer simulation and image alignment in jumping analysis. in 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015. 2015;.
doi:10.1109/BIBE.2015.7367672
https://hdl.handle.net/21.15107/rcub_gery_733 .

Mijailović, Nikola V., Radaković, Radivoje, Peulić, Aleksandar, Milanković, Ivan L., Filipović, Nenad, "Using force plate, computer simulation and image alignment in jumping analysis" in 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015 (2015),
https://doi.org/10.1109/BIBE.2015.7367672 .,
https://hdl.handle.net/21.15107/rcub_gery_733 .

TY  - CONF
AU  - Milanković, Ivan L.
AU  - Peulić, Aleksandar
AU  - Ysasi, A.B.
AU  - Wagner, W.L.
AU  - Pabst, A.M.
AU  - Ackermann, M.
AU  - Houdek, J.
AU  - Föhst, S.
AU  - Mentzer, S.J.
AU  - Konerding, M.A.
AU  - Filipović, Nenad
AU  - Tsuda, A.
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/732
AB  - Image filtering is one of the most common and important tasks in image processing applications. In this paper, image processing using a mean filtering algorithm combined with thresholding and binarization algorithms for the 3D visualization and analysis of murine lungs is explained. These algorithms are then mapped on the Maxler's MAX2336B Dataflow Engine (DFE) to significantly increase calculation speed. Several different DFE configurations were tested and each yielded different performance characteristics. Optimal algorithm calculation speed was up to 30 fold baseline calculation speed.
PB  - Institute of Electrical and Electronics Engineers Inc.
C3  - 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015
T1  - Acceleration of image filtering algorithms for 3D visualization of murine lungs using dataflow engines
DO  - 10.1109/BIBE.2015.7367663
UR  - https://hdl.handle.net/21.15107/rcub_gery_732
ER  - 

@conference{
author = "Milanković, Ivan L. and Peulić, Aleksandar and Ysasi, A.B. and Wagner, W.L. and Pabst, A.M. and Ackermann, M. and Houdek, J. and Föhst, S. and Mentzer, S.J. and Konerding, M.A. and Filipović, Nenad and Tsuda, A.",
year = "2015",
abstract = "Image filtering is one of the most common and important tasks in image processing applications. In this paper, image processing using a mean filtering algorithm combined with thresholding and binarization algorithms for the 3D visualization and analysis of murine lungs is explained. These algorithms are then mapped on the Maxler's MAX2336B Dataflow Engine (DFE) to significantly increase calculation speed. Several different DFE configurations were tested and each yielded different performance characteristics. Optimal algorithm calculation speed was up to 30 fold baseline calculation speed.",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
journal = "2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015",
title = "Acceleration of image filtering algorithms for 3D visualization of murine lungs using dataflow engines",
doi = "10.1109/BIBE.2015.7367663",
url = "https://hdl.handle.net/21.15107/rcub_gery_732"
}

Milanković, I. L., Peulić, A., Ysasi, A.B., Wagner, W.L., Pabst, A.M., Ackermann, M., Houdek, J., Föhst, S., Mentzer, S.J., Konerding, M.A., Filipović, N.,& Tsuda, A.. (2015). Acceleration of image filtering algorithms for 3D visualization of murine lungs using dataflow engines. in 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015
Institute of Electrical and Electronics Engineers Inc...
https://doi.org/10.1109/BIBE.2015.7367663
https://hdl.handle.net/21.15107/rcub_gery_732

Milanković IL, Peulić A, Ysasi A, Wagner W, Pabst A, Ackermann M, Houdek J, Föhst S, Mentzer S, Konerding M, Filipović N, Tsuda A. Acceleration of image filtering algorithms for 3D visualization of murine lungs using dataflow engines. in 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015. 2015;.
doi:10.1109/BIBE.2015.7367663
https://hdl.handle.net/21.15107/rcub_gery_732 .

Milanković, Ivan L., Peulić, Aleksandar, Ysasi, A.B., Wagner, W.L., Pabst, A.M., Ackermann, M., Houdek, J., Föhst, S., Mentzer, S.J., Konerding, M.A., Filipović, Nenad, Tsuda, A., "Acceleration of image filtering algorithms for 3D visualization of murine lungs using dataflow engines" in 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015 (2015),
https://doi.org/10.1109/BIBE.2015.7367663 .,
https://hdl.handle.net/21.15107/rcub_gery_732 .

TY  - JOUR
AU  - Mijailović, Nikola V.
AU  - Vulović, Radun
AU  - Milanković, Ivan L.
AU  - Radaković, Radivoje
AU  - Filipović, Nenad
AU  - Peulić, Aleksandar
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/712
AB  - Knowledge about the knee cartilage deformation ratio as well as the knee cartilage stress distribution is of particular importance in clinical studies due to the fact that these represent some of the basic indicators of cartilage state and that they also provide information about joint cartilage wear so medical doctors can predict when it is necessary to perform surgery on a patient. In this research, we apply various kinds of sensors such as a system of infrared cameras and reflective markers, three-axis accelerometer, and force plate. The fluorescent marker and accelerometers are placed on the patient's hip, knee, and ankle, respectively. During a normal walk we are recording the space position of markers, acceleration, and ground reaction force by force plate. Measured data are included in the biomechanical model of the knee joint. Geometry for this model is defined from CT images. This model includes the impact of ground reaction forces, contact force between femur and tibia, patient body weight, ligaments, and muscle forces. The boundary conditions are created for the finite element method in order to noninvasively determine the cartilage stress distribution.
PB  - Hindawi Publishing Corp, New York
T2  - Computational and Mathematical Methods In Medicine
T1  - Assessment of Knee Cartilage Stress Distribution and Deformation Using Motion Capture System and Wearable Sensors for Force Ratio Detection
DO  - 10.1155/2015/963746
UR  - https://hdl.handle.net/21.15107/rcub_gery_712
ER  - 

@article{
author = "Mijailović, Nikola V. and Vulović, Radun and Milanković, Ivan L. and Radaković, Radivoje and Filipović, Nenad and Peulić, Aleksandar",
year = "2015",
abstract = "Knowledge about the knee cartilage deformation ratio as well as the knee cartilage stress distribution is of particular importance in clinical studies due to the fact that these represent some of the basic indicators of cartilage state and that they also provide information about joint cartilage wear so medical doctors can predict when it is necessary to perform surgery on a patient. In this research, we apply various kinds of sensors such as a system of infrared cameras and reflective markers, three-axis accelerometer, and force plate. The fluorescent marker and accelerometers are placed on the patient's hip, knee, and ankle, respectively. During a normal walk we are recording the space position of markers, acceleration, and ground reaction force by force plate. Measured data are included in the biomechanical model of the knee joint. Geometry for this model is defined from CT images. This model includes the impact of ground reaction forces, contact force between femur and tibia, patient body weight, ligaments, and muscle forces. The boundary conditions are created for the finite element method in order to noninvasively determine the cartilage stress distribution.",
publisher = "Hindawi Publishing Corp, New York",
journal = "Computational and Mathematical Methods In Medicine",
title = "Assessment of Knee Cartilage Stress Distribution and Deformation Using Motion Capture System and Wearable Sensors for Force Ratio Detection",
doi = "10.1155/2015/963746",
url = "https://hdl.handle.net/21.15107/rcub_gery_712"
}

Mijailović, N. V., Vulović, R., Milanković, I. L., Radaković, R., Filipović, N.,& Peulić, A.. (2015). Assessment of Knee Cartilage Stress Distribution and Deformation Using Motion Capture System and Wearable Sensors for Force Ratio Detection. in Computational and Mathematical Methods In Medicine
Hindawi Publishing Corp, New York..
https://doi.org/10.1155/2015/963746
https://hdl.handle.net/21.15107/rcub_gery_712

Mijailović NV, Vulović R, Milanković IL, Radaković R, Filipović N, Peulić A. Assessment of Knee Cartilage Stress Distribution and Deformation Using Motion Capture System and Wearable Sensors for Force Ratio Detection. in Computational and Mathematical Methods In Medicine. 2015;.
doi:10.1155/2015/963746
https://hdl.handle.net/21.15107/rcub_gery_712 .

Mijailović, Nikola V., Vulović, Radun, Milanković, Ivan L., Radaković, Radivoje, Filipović, Nenad, Peulić, Aleksandar, "Assessment of Knee Cartilage Stress Distribution and Deformation Using Motion Capture System and Wearable Sensors for Force Ratio Detection" in Computational and Mathematical Methods In Medicine (2015),
https://doi.org/10.1155/2015/963746 .,
https://hdl.handle.net/21.15107/rcub_gery_712 .

TY  - JOUR
AU  - Radović, Miloš
AU  - Milošević, Marina
AU  - Ninković, Srđan
AU  - Filipović, Nenad
AU  - Peulić, Aleksandar
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/710
AB  - BACKGROUND: Reading mammograms is a difficult task and for this reason any development that may improve the performance in breast cancer screening is of great importance. OBJECTIVE: We proposed optimized computer aided diagnosis (CAD) system, equipped with reliability estimate module, for mass detection on digitized mammograms. METHODS: Proposed CAD system consists of four major steps: preprocessing, segmentation, feature extraction and classification. We propose a simple regression function as a threshold function for extraction of potential masses. By running optimization procedure we estimate parameters of the preprocessing and segmentation steps thus ensuring maximum mass detection sensitivity. In addition to the classification, where we tested seven different classifiers, the CAD system is equipped with reliability estimate module. RESULTS: By performing segmentation 91.3% of masses were correctly segmented with 4.14 false positives per image (FPpi). This result is improved in the classification phase where, among the seven tested classifiers, multilayer perceptron neural network achieved the best result including 77.4% sensitivity and 0.49 FPpi. CONCLUSION: By using the proposed regression function and parameter optimization we were able to improve segmentation results comparing to the literature. In addition, we showed that CAD system has high potential for being equipped with reliability estimate module.
PB  - IOS Press, Amsterdam
T2  - Technology and Health Care
T1  - Parameter optimization of a computer-aided diagnosis system for detection of masses on digitized mammograms
VL  - 23
IS  - 6
SP  - 757
EP  - 774
DO  - 10.3233/THC-151034
UR  - https://hdl.handle.net/21.15107/rcub_gery_710
ER  - 

@article{
author = "Radović, Miloš and Milošević, Marina and Ninković, Srđan and Filipović, Nenad and Peulić, Aleksandar",
year = "2015",
abstract = "BACKGROUND: Reading mammograms is a difficult task and for this reason any development that may improve the performance in breast cancer screening is of great importance. OBJECTIVE: We proposed optimized computer aided diagnosis (CAD) system, equipped with reliability estimate module, for mass detection on digitized mammograms. METHODS: Proposed CAD system consists of four major steps: preprocessing, segmentation, feature extraction and classification. We propose a simple regression function as a threshold function for extraction of potential masses. By running optimization procedure we estimate parameters of the preprocessing and segmentation steps thus ensuring maximum mass detection sensitivity. In addition to the classification, where we tested seven different classifiers, the CAD system is equipped with reliability estimate module. RESULTS: By performing segmentation 91.3% of masses were correctly segmented with 4.14 false positives per image (FPpi). This result is improved in the classification phase where, among the seven tested classifiers, multilayer perceptron neural network achieved the best result including 77.4% sensitivity and 0.49 FPpi. CONCLUSION: By using the proposed regression function and parameter optimization we were able to improve segmentation results comparing to the literature. In addition, we showed that CAD system has high potential for being equipped with reliability estimate module.",
publisher = "IOS Press, Amsterdam",
journal = "Technology and Health Care",
title = "Parameter optimization of a computer-aided diagnosis system for detection of masses on digitized mammograms",
volume = "23",
number = "6",
pages = "757-774",
doi = "10.3233/THC-151034",
url = "https://hdl.handle.net/21.15107/rcub_gery_710"
}

Radović, M., Milošević, M., Ninković, S., Filipović, N.,& Peulić, A.. (2015). Parameter optimization of a computer-aided diagnosis system for detection of masses on digitized mammograms. in Technology and Health Care
IOS Press, Amsterdam., 23(6), 757-774.
https://doi.org/10.3233/THC-151034
https://hdl.handle.net/21.15107/rcub_gery_710

Radović M, Milošević M, Ninković S, Filipović N, Peulić A. Parameter optimization of a computer-aided diagnosis system for detection of masses on digitized mammograms. in Technology and Health Care. 2015;23(6):757-774.
doi:10.3233/THC-151034
https://hdl.handle.net/21.15107/rcub_gery_710 .

Radović, Miloš, Milošević, Marina, Ninković, Srđan, Filipović, Nenad, Peulić, Aleksandar, "Parameter optimization of a computer-aided diagnosis system for detection of masses on digitized mammograms" in Technology and Health Care, 23, no. 6 (2015):757-774,
https://doi.org/10.3233/THC-151034 .,
https://hdl.handle.net/21.15107/rcub_gery_710 .

TY  - JOUR
AU  - Topalović, Marko
AU  - Damnjanović, Đorđe
AU  - Peulić, Aleksandar
AU  - Blagojević, Milan
AU  - Filipović, Nenad
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/708
AB  - During the speech, contractions of muscles in the speech apparatus produce myoelectric signals that can be picked up by electrodes, filtered and analyzed. The problem of extraction of speech information from these signals is significant for patients with damaged speech apparatus, such as laryngectomy patients, who could use speech recognition based on myoelectric signal classification to communicate by means of the synthetic speech. In the most previously conducted research, classification is performed on a ten word vocabulary which resulted in a good classification rate. In this paper, a possibility for myoelectric syllable based speech classification is analyzed on a significantly larger vocabulary with novel decision set based classifier which is simple, easy to adapt, convenient for research and similar to the way humans think. In order to have a high quality of recorded myoelectric signals, analysis of the optimal position of electrodes is performed. classification is performed by comparison between syllable combination and whole words. Based on classification rate, words can belong to easy, medium or hard to distinguish group. Results based on generated list of best matching combinations show that decision set analysis of myoelectric signals for speech recognition is a promising novel method.
PB  - World Scientific Publ Co Pte Ltd, Singapore
T2  - Biomedical Engineering-Applications Basis Communications
T1  - Syllable-based speech recognition using electromyography and decision set classifier
VL  - 27
IS  - 2
DO  - 10.4015/S1016237215500209
UR  - https://hdl.handle.net/21.15107/rcub_gery_708
ER  - 

@article{
author = "Topalović, Marko and Damnjanović, Đorđe and Peulić, Aleksandar and Blagojević, Milan and Filipović, Nenad",
year = "2015",
abstract = "During the speech, contractions of muscles in the speech apparatus produce myoelectric signals that can be picked up by electrodes, filtered and analyzed. The problem of extraction of speech information from these signals is significant for patients with damaged speech apparatus, such as laryngectomy patients, who could use speech recognition based on myoelectric signal classification to communicate by means of the synthetic speech. In the most previously conducted research, classification is performed on a ten word vocabulary which resulted in a good classification rate. In this paper, a possibility for myoelectric syllable based speech classification is analyzed on a significantly larger vocabulary with novel decision set based classifier which is simple, easy to adapt, convenient for research and similar to the way humans think. In order to have a high quality of recorded myoelectric signals, analysis of the optimal position of electrodes is performed. classification is performed by comparison between syllable combination and whole words. Based on classification rate, words can belong to easy, medium or hard to distinguish group. Results based on generated list of best matching combinations show that decision set analysis of myoelectric signals for speech recognition is a promising novel method.",
publisher = "World Scientific Publ Co Pte Ltd, Singapore",
journal = "Biomedical Engineering-Applications Basis Communications",
title = "Syllable-based speech recognition using electromyography and decision set classifier",
volume = "27",
number = "2",
doi = "10.4015/S1016237215500209",
url = "https://hdl.handle.net/21.15107/rcub_gery_708"
}

Topalović, M., Damnjanović, Đ., Peulić, A., Blagojević, M.,& Filipović, N.. (2015). Syllable-based speech recognition using electromyography and decision set classifier. in Biomedical Engineering-Applications Basis Communications
World Scientific Publ Co Pte Ltd, Singapore., 27(2).
https://doi.org/10.4015/S1016237215500209
https://hdl.handle.net/21.15107/rcub_gery_708

Topalović M, Damnjanović Đ, Peulić A, Blagojević M, Filipović N. Syllable-based speech recognition using electromyography and decision set classifier. in Biomedical Engineering-Applications Basis Communications. 2015;27(2).
doi:10.4015/S1016237215500209
https://hdl.handle.net/21.15107/rcub_gery_708 .

Topalović, Marko, Damnjanović, Đorđe, Peulić, Aleksandar, Blagojević, Milan, Filipović, Nenad, "Syllable-based speech recognition using electromyography and decision set classifier" in Biomedical Engineering-Applications Basis Communications, 27, no. 2 (2015),
https://doi.org/10.4015/S1016237215500209 .,
https://hdl.handle.net/21.15107/rcub_gery_708 .

TY  - JOUR
AU  - Cvetković, Aleksandar M.
AU  - Milašinović, Danko Z.
AU  - Peulić, Aleksandar
AU  - Mijailović, Nikola V.
AU  - Filipović, Nenad
AU  - Zdravković, Nebojša
PY  - 2014
UR  - https://gery.gef.bg.ac.rs/handle/123456789/618
AB  - The main goal of this study was to numerically quantify risk of duodenal stump blowout after Billroth II (BII) gastric resection. Our hypothesis was that the geometry of the reconstructed tract after BII resection is one of the key factors that can lead to duodenal dehiscence. We used computational fluid dynamics (CFD) with finite element (FE) simulations of various models of BII reconstructed gastrointestinal (GI) tract, as well as non-perfused, ex vivo, porcine experimental models. As main geometrical parameters for FE postoperative models we have used duodenal stump length and inclination between gastric remnant and duodenal stump. Virtual gastric resection was performed on each of 3D FE models based on multislice Computer Tomography (CT) DICOM. According to our computer simulation the difference between maximal duodenal stump pressures for models with most and least preferable geometry of reconstructed GI tract is about 30%. We compared the resulting postoperative duodenal pressure from computer simulations with duodenal stump dehiscence pressure from the experiment. Pressure at duodenal stump after BII resection obtained by computer simulation is 4-5 times lower than the dehiscence pressure according to our experiment on isolated bowel segment. Our conclusion is that if the surgery is performed technically correct, geometry variations of the reconstructed GI tract by themselves are not sufficient to cause duodenal stump blowout. Pressure that develops in the duodenal stump after BII resection using omega loop, only in the conjunction with other risk factors can cause duodenal dehiscence. Increased duodenal pressure after BII resection is risk factor. Hence we recommend the routine use of Roux en Y anastomosis as a safer solution in terms of resulting intraluminal pressure. However, if the surgeon decides to perform BII reconstruction, results obtained with this methodology can be valuable. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
PB  - Elsevier Ireland Ltd, Clare
T2  - Computer Methods and Programs in Biomedicine
T1  - Numerical and experimental analysis of factors leading to suture dehiscence after Billroth II gastric resection
VL  - 117
IS  - 2
SP  - 71
EP  - 79
DO  - 10.1016/j.cmpb.2014.08.005
UR  - https://hdl.handle.net/21.15107/rcub_gery_618
ER  - 

@article{
author = "Cvetković, Aleksandar M. and Milašinović, Danko Z. and Peulić, Aleksandar and Mijailović, Nikola V. and Filipović, Nenad and Zdravković, Nebojša",
year = "2014",
abstract = "The main goal of this study was to numerically quantify risk of duodenal stump blowout after Billroth II (BII) gastric resection. Our hypothesis was that the geometry of the reconstructed tract after BII resection is one of the key factors that can lead to duodenal dehiscence. We used computational fluid dynamics (CFD) with finite element (FE) simulations of various models of BII reconstructed gastrointestinal (GI) tract, as well as non-perfused, ex vivo, porcine experimental models. As main geometrical parameters for FE postoperative models we have used duodenal stump length and inclination between gastric remnant and duodenal stump. Virtual gastric resection was performed on each of 3D FE models based on multislice Computer Tomography (CT) DICOM. According to our computer simulation the difference between maximal duodenal stump pressures for models with most and least preferable geometry of reconstructed GI tract is about 30%. We compared the resulting postoperative duodenal pressure from computer simulations with duodenal stump dehiscence pressure from the experiment. Pressure at duodenal stump after BII resection obtained by computer simulation is 4-5 times lower than the dehiscence pressure according to our experiment on isolated bowel segment. Our conclusion is that if the surgery is performed technically correct, geometry variations of the reconstructed GI tract by themselves are not sufficient to cause duodenal stump blowout. Pressure that develops in the duodenal stump after BII resection using omega loop, only in the conjunction with other risk factors can cause duodenal dehiscence. Increased duodenal pressure after BII resection is risk factor. Hence we recommend the routine use of Roux en Y anastomosis as a safer solution in terms of resulting intraluminal pressure. However, if the surgeon decides to perform BII reconstruction, results obtained with this methodology can be valuable. (C) 2014 Elsevier Ireland Ltd. All rights reserved.",
publisher = "Elsevier Ireland Ltd, Clare",
journal = "Computer Methods and Programs in Biomedicine",
title = "Numerical and experimental analysis of factors leading to suture dehiscence after Billroth II gastric resection",
volume = "117",
number = "2",
pages = "71-79",
doi = "10.1016/j.cmpb.2014.08.005",
url = "https://hdl.handle.net/21.15107/rcub_gery_618"
}

Cvetković, A. M., Milašinović, D. Z., Peulić, A., Mijailović, N. V., Filipović, N.,& Zdravković, N.. (2014). Numerical and experimental analysis of factors leading to suture dehiscence after Billroth II gastric resection. in Computer Methods and Programs in Biomedicine
Elsevier Ireland Ltd, Clare., 117(2), 71-79.
https://doi.org/10.1016/j.cmpb.2014.08.005
https://hdl.handle.net/21.15107/rcub_gery_618

Cvetković AM, Milašinović DZ, Peulić A, Mijailović NV, Filipović N, Zdravković N. Numerical and experimental analysis of factors leading to suture dehiscence after Billroth II gastric resection. in Computer Methods and Programs in Biomedicine. 2014;117(2):71-79.
doi:10.1016/j.cmpb.2014.08.005
https://hdl.handle.net/21.15107/rcub_gery_618 .

Cvetković, Aleksandar M., Milašinović, Danko Z., Peulić, Aleksandar, Mijailović, Nikola V., Filipović, Nenad, Zdravković, Nebojša, "Numerical and experimental analysis of factors leading to suture dehiscence after Billroth II gastric resection" in Computer Methods and Programs in Biomedicine, 117, no. 2 (2014):71-79,
https://doi.org/10.1016/j.cmpb.2014.08.005 .,
https://hdl.handle.net/21.15107/rcub_gery_618 .

TY  - JOUR
AU  - Filipović, Nenad
AU  - Đukić, Tijana
AU  - Radović, Miloš
AU  - Cvetković, Danijela
AU  - Ćurčić, Milena
AU  - Marković, Snežana
AU  - Peulić, Aleksandar
AU  - Jeremić, Branislav
PY  - 2014
UR  - https://gery.gef.bg.ac.rs/handle/123456789/605
AB  - Background: There is a strong interest in the investigation of extremely low frequency Electromagnetic Fields (EMF) in the clinic. While evidence about anticancer effects exists, the mechanism explaining this effect is still unknown. Methods: We investigated in vitro, and with computer simulation, the influence of a 50 Hz EMF on three cancer cell lines: breast cancer MDA-MB-231, and colon cancer SW-480 and HCT-116. After 24 h preincubation, cells were exposed to 50 Hz extremely low frequency (ELF) radiofrequency EMF using in vitro exposure systems for 24 and 72 h. A computer reaction-diffusion model with the net rate of cell proliferation and effect of EMF in time was developed. The fitting procedure for estimation of the computer model parameters was implemented. Results: Experimental results clearly showed disintegration of cells treated with a 50 Hz EMF, compared to untreated control cells. A large percentage of treated cells resulted in increased early apoptosis after 24 h and 72 h, compared to the controls. Computer model have shown good comparison with experimental data. Conclusion: Using EMF at specific frequencies may represent a new approach in controlling the growth of cancer cells, while computer modelling could be used to predict such effects and make optimisation for complex experimental design. Further studies are required before testing this approach in humans.
PB  - BMC, London
T2  - Cancer Cell International
T1  - Electromagnetic field investigation on different cancer cell lines
VL  - 14
DO  - 10.1186/s12935-014-0084-x
UR  - https://hdl.handle.net/21.15107/rcub_gery_605
ER  - 

@article{
author = "Filipović, Nenad and Đukić, Tijana and Radović, Miloš and Cvetković, Danijela and Ćurčić, Milena and Marković, Snežana and Peulić, Aleksandar and Jeremić, Branislav",
year = "2014",
abstract = "Background: There is a strong interest in the investigation of extremely low frequency Electromagnetic Fields (EMF) in the clinic. While evidence about anticancer effects exists, the mechanism explaining this effect is still unknown. Methods: We investigated in vitro, and with computer simulation, the influence of a 50 Hz EMF on three cancer cell lines: breast cancer MDA-MB-231, and colon cancer SW-480 and HCT-116. After 24 h preincubation, cells were exposed to 50 Hz extremely low frequency (ELF) radiofrequency EMF using in vitro exposure systems for 24 and 72 h. A computer reaction-diffusion model with the net rate of cell proliferation and effect of EMF in time was developed. The fitting procedure for estimation of the computer model parameters was implemented. Results: Experimental results clearly showed disintegration of cells treated with a 50 Hz EMF, compared to untreated control cells. A large percentage of treated cells resulted in increased early apoptosis after 24 h and 72 h, compared to the controls. Computer model have shown good comparison with experimental data. Conclusion: Using EMF at specific frequencies may represent a new approach in controlling the growth of cancer cells, while computer modelling could be used to predict such effects and make optimisation for complex experimental design. Further studies are required before testing this approach in humans.",
publisher = "BMC, London",
journal = "Cancer Cell International",
title = "Electromagnetic field investigation on different cancer cell lines",
volume = "14",
doi = "10.1186/s12935-014-0084-x",
url = "https://hdl.handle.net/21.15107/rcub_gery_605"
}

Filipović, N., Đukić, T., Radović, M., Cvetković, D., Ćurčić, M., Marković, S., Peulić, A.,& Jeremić, B.. (2014). Electromagnetic field investigation on different cancer cell lines. in Cancer Cell International
BMC, London., 14.
https://doi.org/10.1186/s12935-014-0084-x
https://hdl.handle.net/21.15107/rcub_gery_605

Filipović N, Đukić T, Radović M, Cvetković D, Ćurčić M, Marković S, Peulić A, Jeremić B. Electromagnetic field investigation on different cancer cell lines. in Cancer Cell International. 2014;14.
doi:10.1186/s12935-014-0084-x
https://hdl.handle.net/21.15107/rcub_gery_605 .

Filipović, Nenad, Đukić, Tijana, Radović, Miloš, Cvetković, Danijela, Ćurčić, Milena, Marković, Snežana, Peulić, Aleksandar, Jeremić, Branislav, "Electromagnetic field investigation on different cancer cell lines" in Cancer Cell International, 14 (2014),
https://doi.org/10.1186/s12935-014-0084-x .,
https://hdl.handle.net/21.15107/rcub_gery_605 .

TY  - JOUR
AU  - Jeremić, Svetlana
AU  - Filipović, Nenad
AU  - Peulić, Aleksandar
AU  - Marković, Zoran
PY  - 2014
UR  - https://gery.gef.bg.ac.rs/handle/123456789/611
AB  - In this paper the conformational behavior and thermodynamics of radical scavenging action of alizarin (A) and alizarin red S (ARS) were investigated at the M06-2X/6-311++G(d,p) and M06-2X/cc-pVTZ levels of theory in the gas phase and water solution. For this purpose all BDE (bond dissociation enthalpy), IP (ionization potential), PDE (proton dissociation enthalpy), PA (proton affinity), and ETE (electron transfer enthalpy) values were calculated, implying that all radicals, anions, and radical cations issued from A and ARS were examined. Since it turned out that all thermodynamic parameters for A and ARS are mutually comparable, one can assume that the two,compounds are of similar antioxidative capacity, implying that the influence of the sulfonate group is insignificant. It was shown that the hydroxyl group in position 2 of A and ARS is the preferential site for heterolytic and homolytic cleavage in both phases, as the negative charge and spin density in the formed anions and radicals are delocalized over the B ring. In spite of the fact that the IP values of A and ARS are significantly lower in water, SET-PT is not a favored mechanism of both molecules in either environment. On the other hand, HAT is the predominant reaction pathway of A and ARS in gas, whereas SPLET is the preferential mechanism in water. (C) 2014 Elsevier B.V. All rights reserved.
PB  - Elsevier, Amsterdam
T2  - Computational and Theoretical Chemistry
T1  - Thermodynamical aspect of radical scavenging activity of alizarin and alizarin red S. Theoretical comparative study
VL  - 1047
SP  - 15
EP  - 21
DO  - 10.1016/j.comptc.2014.08.007
UR  - https://hdl.handle.net/21.15107/rcub_gery_611
ER  - 

@article{
author = "Jeremić, Svetlana and Filipović, Nenad and Peulić, Aleksandar and Marković, Zoran",
year = "2014",
abstract = "In this paper the conformational behavior and thermodynamics of radical scavenging action of alizarin (A) and alizarin red S (ARS) were investigated at the M06-2X/6-311++G(d,p) and M06-2X/cc-pVTZ levels of theory in the gas phase and water solution. For this purpose all BDE (bond dissociation enthalpy), IP (ionization potential), PDE (proton dissociation enthalpy), PA (proton affinity), and ETE (electron transfer enthalpy) values were calculated, implying that all radicals, anions, and radical cations issued from A and ARS were examined. Since it turned out that all thermodynamic parameters for A and ARS are mutually comparable, one can assume that the two,compounds are of similar antioxidative capacity, implying that the influence of the sulfonate group is insignificant. It was shown that the hydroxyl group in position 2 of A and ARS is the preferential site for heterolytic and homolytic cleavage in both phases, as the negative charge and spin density in the formed anions and radicals are delocalized over the B ring. In spite of the fact that the IP values of A and ARS are significantly lower in water, SET-PT is not a favored mechanism of both molecules in either environment. On the other hand, HAT is the predominant reaction pathway of A and ARS in gas, whereas SPLET is the preferential mechanism in water. (C) 2014 Elsevier B.V. All rights reserved.",
publisher = "Elsevier, Amsterdam",
journal = "Computational and Theoretical Chemistry",
title = "Thermodynamical aspect of radical scavenging activity of alizarin and alizarin red S. Theoretical comparative study",
volume = "1047",
pages = "15-21",
doi = "10.1016/j.comptc.2014.08.007",
url = "https://hdl.handle.net/21.15107/rcub_gery_611"
}

Jeremić, S., Filipović, N., Peulić, A.,& Marković, Z.. (2014). Thermodynamical aspect of radical scavenging activity of alizarin and alizarin red S. Theoretical comparative study. in Computational and Theoretical Chemistry
Elsevier, Amsterdam., 1047, 15-21.
https://doi.org/10.1016/j.comptc.2014.08.007
https://hdl.handle.net/21.15107/rcub_gery_611

Jeremić S, Filipović N, Peulić A, Marković Z. Thermodynamical aspect of radical scavenging activity of alizarin and alizarin red S. Theoretical comparative study. in Computational and Theoretical Chemistry. 2014;1047:15-21.
doi:10.1016/j.comptc.2014.08.007
https://hdl.handle.net/21.15107/rcub_gery_611 .

Jeremić, Svetlana, Filipović, Nenad, Peulić, Aleksandar, Marković, Zoran, "Thermodynamical aspect of radical scavenging activity of alizarin and alizarin red S. Theoretical comparative study" in Computational and Theoretical Chemistry, 1047 (2014):15-21,
https://doi.org/10.1016/j.comptc.2014.08.007 .,
https://hdl.handle.net/21.15107/rcub_gery_611 .

TY  - JOUR
AU  - Filipović, Nenad
AU  - Isailović, Velibor
AU  - Nikolić, Dalibor
AU  - Peulić, Aleksandar
AU  - Mijailović, Nikola V.
AU  - Petrović, Suzana
AU  - Cuković, Saša
AU  - Vulović, Radun
AU  - Matić, Aleksandar
AU  - Zdravković, Nebojša
AU  - Devedžić, Goran
AU  - Ristić, Branko
PY  - 2013
UR  - https://gery.gef.bg.ac.rs/handle/123456789/558
AB  - In this study we modeled a patient specific 3D knee after anterior cruicate ligament (ACL) reconstruction. The purpose of the ACL reconstruction is to achieve stability in the entire range of motion of the knee and the establishment of the normal gait pattern. We present a new reconstruction technique that generates patient-specific 3D knee models from patient's magnetic resonant images (MRIs). The motion of the ACL reconstruction patients is measured by OptiTrack system with six infrared cameras. Finite element model of bones, cartilage and meniscus is used for determination stress and strain distribution at different body postures during gait analysis. It was observed that the maximum effective von Mises stress distribution up to 8 MPa occurred during 30% of the gait cycle on the meniscus. The biomechanical model of the knee joint during gait analysis can provide insight into the underlying mechanisms of knee function after ACL reconstruction.
PB  - ComSIS Consortium
T2  - Computer Science and Information Systems
T1  - Biomechanical Modeling of Knee for Specific Patients with Chronic Anterior Cruciate Ligament Injury
VL  - 10
IS  - 1
SP  - 525
EP  - 545
DO  - 10.2298/CSIS120531014F
UR  - https://hdl.handle.net/21.15107/rcub_gery_558
ER  - 

@article{
author = "Filipović, Nenad and Isailović, Velibor and Nikolić, Dalibor and Peulić, Aleksandar and Mijailović, Nikola V. and Petrović, Suzana and Cuković, Saša and Vulović, Radun and Matić, Aleksandar and Zdravković, Nebojša and Devedžić, Goran and Ristić, Branko",
year = "2013",
abstract = "In this study we modeled a patient specific 3D knee after anterior cruicate ligament (ACL) reconstruction. The purpose of the ACL reconstruction is to achieve stability in the entire range of motion of the knee and the establishment of the normal gait pattern. We present a new reconstruction technique that generates patient-specific 3D knee models from patient's magnetic resonant images (MRIs). The motion of the ACL reconstruction patients is measured by OptiTrack system with six infrared cameras. Finite element model of bones, cartilage and meniscus is used for determination stress and strain distribution at different body postures during gait analysis. It was observed that the maximum effective von Mises stress distribution up to 8 MPa occurred during 30% of the gait cycle on the meniscus. The biomechanical model of the knee joint during gait analysis can provide insight into the underlying mechanisms of knee function after ACL reconstruction.",
publisher = "ComSIS Consortium",
journal = "Computer Science and Information Systems",
title = "Biomechanical Modeling of Knee for Specific Patients with Chronic Anterior Cruciate Ligament Injury",
volume = "10",
number = "1",
pages = "525-545",
doi = "10.2298/CSIS120531014F",
url = "https://hdl.handle.net/21.15107/rcub_gery_558"
}

Filipović, N., Isailović, V., Nikolić, D., Peulić, A., Mijailović, N. V., Petrović, S., Cuković, S., Vulović, R., Matić, A., Zdravković, N., Devedžić, G.,& Ristić, B.. (2013). Biomechanical Modeling of Knee for Specific Patients with Chronic Anterior Cruciate Ligament Injury. in Computer Science and Information Systems
ComSIS Consortium., 10(1), 525-545.
https://doi.org/10.2298/CSIS120531014F
https://hdl.handle.net/21.15107/rcub_gery_558

Filipović N, Isailović V, Nikolić D, Peulić A, Mijailović NV, Petrović S, Cuković S, Vulović R, Matić A, Zdravković N, Devedžić G, Ristić B. Biomechanical Modeling of Knee for Specific Patients with Chronic Anterior Cruciate Ligament Injury. in Computer Science and Information Systems. 2013;10(1):525-545.
doi:10.2298/CSIS120531014F
https://hdl.handle.net/21.15107/rcub_gery_558 .

Filipović, Nenad, Isailović, Velibor, Nikolić, Dalibor, Peulić, Aleksandar, Mijailović, Nikola V., Petrović, Suzana, Cuković, Saša, Vulović, Radun, Matić, Aleksandar, Zdravković, Nebojša, Devedžić, Goran, Ristić, Branko, "Biomechanical Modeling of Knee for Specific Patients with Chronic Anterior Cruciate Ligament Injury" in Computer Science and Information Systems, 10, no. 1 (2013):525-545,
https://doi.org/10.2298/CSIS120531014F .,
https://hdl.handle.net/21.15107/rcub_gery_558 .

TY  - JOUR
AU  - Peulić, Aleksandar
AU  - Milojević, Natasa
AU  - Jovanov, Emil
AU  - Radović, Miloš
AU  - Saveljić, Igor
AU  - Zdravković, Nebojša
AU  - Filipović, Nenad
PY  - 2013
UR  - https://gery.gef.bg.ac.rs/handle/123456789/550
AB  - In this paper, a finite element (FE) modeling is used to model effects of the arterial stiffness on the different signal patterns of the pulse transit time (PTT). Several different breathing patterns of the three subjects are measured with PTT signal and corresponding finite element model of the straight elastic artery is applied. The computational fluid-structure model provides arterial elastic behavior and fitting procedure was applied in order to estimate Young's module of stiffness of the artery. It was found that approximately same elastic Young's module can be fitted for specific subject with different breathing patterns which validate this methodology for possible noninvasive determination of the arterial stiffness.
PB  - ComSIS Consortium
T2  - Computer Science and Information Systems
T1  - Modeling of Arterial Stiffness using Variations of Pulse Transit Time
VL  - 10
IS  - 1
SP  - 547
EP  - 565
DO  - 10.2298/CSIS120531015P
UR  - https://hdl.handle.net/21.15107/rcub_gery_550
ER  - 

@article{
author = "Peulić, Aleksandar and Milojević, Natasa and Jovanov, Emil and Radović, Miloš and Saveljić, Igor and Zdravković, Nebojša and Filipović, Nenad",
year = "2013",
abstract = "In this paper, a finite element (FE) modeling is used to model effects of the arterial stiffness on the different signal patterns of the pulse transit time (PTT). Several different breathing patterns of the three subjects are measured with PTT signal and corresponding finite element model of the straight elastic artery is applied. The computational fluid-structure model provides arterial elastic behavior and fitting procedure was applied in order to estimate Young's module of stiffness of the artery. It was found that approximately same elastic Young's module can be fitted for specific subject with different breathing patterns which validate this methodology for possible noninvasive determination of the arterial stiffness.",
publisher = "ComSIS Consortium",
journal = "Computer Science and Information Systems",
title = "Modeling of Arterial Stiffness using Variations of Pulse Transit Time",
volume = "10",
number = "1",
pages = "547-565",
doi = "10.2298/CSIS120531015P",
url = "https://hdl.handle.net/21.15107/rcub_gery_550"
}

Peulić, A., Milojević, N., Jovanov, E., Radović, M., Saveljić, I., Zdravković, N.,& Filipović, N.. (2013). Modeling of Arterial Stiffness using Variations of Pulse Transit Time. in Computer Science and Information Systems
ComSIS Consortium., 10(1), 547-565.
https://doi.org/10.2298/CSIS120531015P
https://hdl.handle.net/21.15107/rcub_gery_550

Peulić A, Milojević N, Jovanov E, Radović M, Saveljić I, Zdravković N, Filipović N. Modeling of Arterial Stiffness using Variations of Pulse Transit Time. in Computer Science and Information Systems. 2013;10(1):547-565.
doi:10.2298/CSIS120531015P
https://hdl.handle.net/21.15107/rcub_gery_550 .

Peulić, Aleksandar, Milojević, Natasa, Jovanov, Emil, Radović, Miloš, Saveljić, Igor, Zdravković, Nebojša, Filipović, Nenad, "Modeling of Arterial Stiffness using Variations of Pulse Transit Time" in Computer Science and Information Systems, 10, no. 1 (2013):547-565,
https://doi.org/10.2298/CSIS120531015P .,
https://hdl.handle.net/21.15107/rcub_gery_550 .

TY  - CONF
AU  - Radović, Miloš
AU  - Đoković, Marina
AU  - Peulić, Aleksandar
AU  - Filipović, Nenad
PY  - 2013
UR  - https://gery.gef.bg.ac.rs/handle/123456789/603
AB  - One of the leading causes of cancer death among women is breast cancer. In our work we aim at proposing a prototype of a medical expert system (based on data mining techniques) that could significantly aid medical experts to detect breast cancer. This paper presents the CAD (computer aided diagnosis) system for the detection of normal and abnormal pattern in the breast. The proposed system consists of four major steps: the image preprocessing, the feature extraction, the feature selection and the classification process that classifies mammogram into normal (without tumor) and abnormal (with tumor) pattern. After removing noise from mammogram using the Discrete Wavelet Transformation (DWT), first is selected the region of interest (ROI). By identifying the boundary of the breast, it is possible to remove any artifact present outside the breast area, such as patient markings. Then, a total of 20 GLCM features are extracted from the ROI, which were used as inputs for classification algorithms. In order to compare the classification results, we used seven different classifiers. Normal breast images and breast image with masses (total 322 images) used as input images in this study are taken from the mini-MIAS database.
PB  - IEEE, New York
C3  - 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE)
T1  - Application of Data Mining Algorithms for Mammogram Classification
UR  - https://hdl.handle.net/21.15107/rcub_gery_603
ER  - 

@conference{
author = "Radović, Miloš and Đoković, Marina and Peulić, Aleksandar and Filipović, Nenad",
year = "2013",
abstract = "One of the leading causes of cancer death among women is breast cancer. In our work we aim at proposing a prototype of a medical expert system (based on data mining techniques) that could significantly aid medical experts to detect breast cancer. This paper presents the CAD (computer aided diagnosis) system for the detection of normal and abnormal pattern in the breast. The proposed system consists of four major steps: the image preprocessing, the feature extraction, the feature selection and the classification process that classifies mammogram into normal (without tumor) and abnormal (with tumor) pattern. After removing noise from mammogram using the Discrete Wavelet Transformation (DWT), first is selected the region of interest (ROI). By identifying the boundary of the breast, it is possible to remove any artifact present outside the breast area, such as patient markings. Then, a total of 20 GLCM features are extracted from the ROI, which were used as inputs for classification algorithms. In order to compare the classification results, we used seven different classifiers. Normal breast images and breast image with masses (total 322 images) used as input images in this study are taken from the mini-MIAS database.",
publisher = "IEEE, New York",
journal = "2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE)",
title = "Application of Data Mining Algorithms for Mammogram Classification",
url = "https://hdl.handle.net/21.15107/rcub_gery_603"
}

Radović, M., Đoković, M., Peulić, A.,& Filipović, N.. (2013). Application of Data Mining Algorithms for Mammogram Classification. in 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE)
IEEE, New York..
https://hdl.handle.net/21.15107/rcub_gery_603

Radović M, Đoković M, Peulić A, Filipović N. Application of Data Mining Algorithms for Mammogram Classification. in 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE). 2013;.
https://hdl.handle.net/21.15107/rcub_gery_603 .

Radović, Miloš, Đoković, Marina, Peulić, Aleksandar, Filipović, Nenad, "Application of Data Mining Algorithms for Mammogram Classification" in 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE) (2013),
https://hdl.handle.net/21.15107/rcub_gery_603 .

TY  - JOUR
AU  - Filipović, Nenad
AU  - Rosić, Mirko
AU  - Tanasković, Irena
AU  - Milošević, Žarko
AU  - Nikolić, Dalibor
AU  - Zdravković, Nebojša
AU  - Peulić, Aleksandar
AU  - Kojić, Milos R.
AU  - Fotiadis, Dimitris I.
AU  - Parodi, Oberdan
PY  - 2012
UR  - https://gery.gef.bg.ac.rs/handle/123456789/462
AB  - Atherosclerosis is a progressive disease characterized by the accumulation of lipids and fibrous elements in arteries. It is characterized by dysfunction of endothelium and vasculitis, and accumulation of lipid, cholesterol, and cell elements inside blood vessel wall. In this study, a continuum-based approach for plaque formation and development in 3-D is presented. The blood flow is simulated by the 3-D Navier-Stokes equations, together with the continuity equation while low-density lipoprotein (LDL) transport in lumen of the vessel is coupled with Kedem-Katchalsky equations. The inflammatory process was solved using three additional reaction-diffusion partial differential equations. Transport of labeled LDL was fitted with our experiment on the rabbit animal model. Matching with histological data for LDL localization was achieved. Also, 3-D model of the straight artery with initial mild constriction of 30% plaque for formation and development is presented.
PB  - IEEE -Inst Electrical Electronics Engineers Inc, Piscataway
T2  - IEEE Transactions on Information Technology In Biomedicine
T1  - ARTreat Project: Three-Dimensional Numerical Simulation of Plaque Formation and Development in the Arteries
VL  - 16
IS  - 2
SP  - 272
EP  - 278
DO  - 10.1109/TITB.2011.2168418
UR  - https://hdl.handle.net/21.15107/rcub_gery_462
ER  - 

@article{
author = "Filipović, Nenad and Rosić, Mirko and Tanasković, Irena and Milošević, Žarko and Nikolić, Dalibor and Zdravković, Nebojša and Peulić, Aleksandar and Kojić, Milos R. and Fotiadis, Dimitris I. and Parodi, Oberdan",
year = "2012",
abstract = "Atherosclerosis is a progressive disease characterized by the accumulation of lipids and fibrous elements in arteries. It is characterized by dysfunction of endothelium and vasculitis, and accumulation of lipid, cholesterol, and cell elements inside blood vessel wall. In this study, a continuum-based approach for plaque formation and development in 3-D is presented. The blood flow is simulated by the 3-D Navier-Stokes equations, together with the continuity equation while low-density lipoprotein (LDL) transport in lumen of the vessel is coupled with Kedem-Katchalsky equations. The inflammatory process was solved using three additional reaction-diffusion partial differential equations. Transport of labeled LDL was fitted with our experiment on the rabbit animal model. Matching with histological data for LDL localization was achieved. Also, 3-D model of the straight artery with initial mild constriction of 30% plaque for formation and development is presented.",
publisher = "IEEE -Inst Electrical Electronics Engineers Inc, Piscataway",
journal = "IEEE Transactions on Information Technology In Biomedicine",
title = "ARTreat Project: Three-Dimensional Numerical Simulation of Plaque Formation and Development in the Arteries",
volume = "16",
number = "2",
pages = "272-278",
doi = "10.1109/TITB.2011.2168418",
url = "https://hdl.handle.net/21.15107/rcub_gery_462"
}

Filipović, N., Rosić, M., Tanasković, I., Milošević, Ž., Nikolić, D., Zdravković, N., Peulić, A., Kojić, M. R., Fotiadis, D. I.,& Parodi, O.. (2012). ARTreat Project: Three-Dimensional Numerical Simulation of Plaque Formation and Development in the Arteries. in IEEE Transactions on Information Technology In Biomedicine
IEEE -Inst Electrical Electronics Engineers Inc, Piscataway., 16(2), 272-278.
https://doi.org/10.1109/TITB.2011.2168418
https://hdl.handle.net/21.15107/rcub_gery_462

Filipović N, Rosić M, Tanasković I, Milošević Ž, Nikolić D, Zdravković N, Peulić A, Kojić MR, Fotiadis DI, Parodi O. ARTreat Project: Three-Dimensional Numerical Simulation of Plaque Formation and Development in the Arteries. in IEEE Transactions on Information Technology In Biomedicine. 2012;16(2):272-278.
doi:10.1109/TITB.2011.2168418
https://hdl.handle.net/21.15107/rcub_gery_462 .

Filipović, Nenad, Rosić, Mirko, Tanasković, Irena, Milošević, Žarko, Nikolić, Dalibor, Zdravković, Nebojša, Peulić, Aleksandar, Kojić, Milos R., Fotiadis, Dimitris I., Parodi, Oberdan, "ARTreat Project: Three-Dimensional Numerical Simulation of Plaque Formation and Development in the Arteries" in IEEE Transactions on Information Technology In Biomedicine, 16, no. 2 (2012):272-278,
https://doi.org/10.1109/TITB.2011.2168418 .,
https://hdl.handle.net/21.15107/rcub_gery_462 .

TY  - JOUR
AU  - Filipović, Nenad
AU  - Peulić, Aleksandar
AU  - Zdravković, Nebojša
AU  - Grbović-Marković, Vesna M.
AU  - Jurišić-Skevin, Aleksandra J.
PY  - 2011
UR  - https://gery.gef.bg.ac.rs/handle/123456789/417
AB  - Transcutaneous functional electrical stimulation is commonly used for strengthening muscle. However, transient effects during stimulation are not yet well explored. The effect of an amplitude change of the stimulation can be described by static model, but there is no differency for different pulse duration. The aim of this study is to present the finite element (FE) model of a transient electrical stimulation on the forearm. Discrete FE equations were derived by using a standard Galerkin procedure. Different tissue conductive and dielectric properties are fitted using least square method and trial and error analysis from experimental measurement. This study showed that FE modeling of electrical stimulation can give the spatial-temporal distribution of applied current in the forearm. Three different cases were modeled with the same geometry but with different input of the current pulse, in order to fit the tissue properties by using transient FE analysis. All three cases were compared with experimental measurements of intramuscular voltage on one volunteer.
PB  - General Physiol and Biophysics, Bratislava
T2  - General Physiology and Biophysics
T1  - Transient finite element modeling of functional electrical stimulation
VL  - 30
IS  - 1
SP  - 59
EP  - 65
DO  - 10.4149/gpb_2011_01_59
UR  - https://hdl.handle.net/21.15107/rcub_gery_417
ER  - 

@article{
author = "Filipović, Nenad and Peulić, Aleksandar and Zdravković, Nebojša and Grbović-Marković, Vesna M. and Jurišić-Skevin, Aleksandra J.",
year = "2011",
abstract = "Transcutaneous functional electrical stimulation is commonly used for strengthening muscle. However, transient effects during stimulation are not yet well explored. The effect of an amplitude change of the stimulation can be described by static model, but there is no differency for different pulse duration. The aim of this study is to present the finite element (FE) model of a transient electrical stimulation on the forearm. Discrete FE equations were derived by using a standard Galerkin procedure. Different tissue conductive and dielectric properties are fitted using least square method and trial and error analysis from experimental measurement. This study showed that FE modeling of electrical stimulation can give the spatial-temporal distribution of applied current in the forearm. Three different cases were modeled with the same geometry but with different input of the current pulse, in order to fit the tissue properties by using transient FE analysis. All three cases were compared with experimental measurements of intramuscular voltage on one volunteer.",
publisher = "General Physiol and Biophysics, Bratislava",
journal = "General Physiology and Biophysics",
title = "Transient finite element modeling of functional electrical stimulation",
volume = "30",
number = "1",
pages = "59-65",
doi = "10.4149/gpb_2011_01_59",
url = "https://hdl.handle.net/21.15107/rcub_gery_417"
}

Filipović, N., Peulić, A., Zdravković, N., Grbović-Marković, V. M.,& Jurišić-Skevin, A. J.. (2011). Transient finite element modeling of functional electrical stimulation. in General Physiology and Biophysics
General Physiol and Biophysics, Bratislava., 30(1), 59-65.
https://doi.org/10.4149/gpb_2011_01_59
https://hdl.handle.net/21.15107/rcub_gery_417

Filipović N, Peulić A, Zdravković N, Grbović-Marković VM, Jurišić-Skevin AJ. Transient finite element modeling of functional electrical stimulation. in General Physiology and Biophysics. 2011;30(1):59-65.
doi:10.4149/gpb_2011_01_59
https://hdl.handle.net/21.15107/rcub_gery_417 .

Filipović, Nenad, Peulić, Aleksandar, Zdravković, Nebojša, Grbović-Marković, Vesna M., Jurišić-Skevin, Aleksandra J., "Transient finite element modeling of functional electrical stimulation" in General Physiology and Biophysics, 30, no. 1 (2011):59-65,
https://doi.org/10.4149/gpb_2011_01_59 .,
https://hdl.handle.net/21.15107/rcub_gery_417 .

TY  - JOUR
AU  - Đoković, Marina
AU  - Peulić, Aleksandar
AU  - Filipović, Nenad
PY  - 2011
UR  - https://gery.gef.bg.ac.rs/handle/123456789/410
AB  - In this paper, we present a multiresolution scheme to detect stellate lesions in mammograms. Multiresolution analysis is used to analyze the images at different frequencies with different resolutions. First we removed the noise from mammograms using Multiresolution analysis and then we detected tumors. Then, using the Embedded Zerotree Wavelet (EZW) algorithm, we compressed denoising mammographic image and showed that by applying the algorithm to detect tumors in the compressed image we obtained the same results as in the case of non-compressed images. Experimental results obtained from the mammographic images of patients recorded in the Clinical Center in Kragujevac, show that using multiresolution algorithm can be detected tumors of different sizes.
PB  - Drunpp-Sarajevo, Sarajevo
T2  - HealthMed
T1  - Automatic identification breast cancer using multiresolution algorithm
VL  - 5
IS  - 6
SP  - 2051
EP  - 2064
UR  - https://hdl.handle.net/21.15107/rcub_gery_410
ER  - 

@article{
author = "Đoković, Marina and Peulić, Aleksandar and Filipović, Nenad",
year = "2011",
abstract = "In this paper, we present a multiresolution scheme to detect stellate lesions in mammograms. Multiresolution analysis is used to analyze the images at different frequencies with different resolutions. First we removed the noise from mammograms using Multiresolution analysis and then we detected tumors. Then, using the Embedded Zerotree Wavelet (EZW) algorithm, we compressed denoising mammographic image and showed that by applying the algorithm to detect tumors in the compressed image we obtained the same results as in the case of non-compressed images. Experimental results obtained from the mammographic images of patients recorded in the Clinical Center in Kragujevac, show that using multiresolution algorithm can be detected tumors of different sizes.",
publisher = "Drunpp-Sarajevo, Sarajevo",
journal = "HealthMed",
title = "Automatic identification breast cancer using multiresolution algorithm",
volume = "5",
number = "6",
pages = "2051-2064",
url = "https://hdl.handle.net/21.15107/rcub_gery_410"
}

Đoković, M., Peulić, A.,& Filipović, N.. (2011). Automatic identification breast cancer using multiresolution algorithm. in HealthMed
Drunpp-Sarajevo, Sarajevo., 5(6), 2051-2064.
https://hdl.handle.net/21.15107/rcub_gery_410

Đoković M, Peulić A, Filipović N. Automatic identification breast cancer using multiresolution algorithm. in HealthMed. 2011;5(6):2051-2064.
https://hdl.handle.net/21.15107/rcub_gery_410 .

Đoković, Marina, Peulić, Aleksandar, Filipović, Nenad, "Automatic identification breast cancer using multiresolution algorithm" in HealthMed, 5, no. 6 (2011):2051-2064,
https://hdl.handle.net/21.15107/rcub_gery_410 .

TY  - JOUR
AU  - Filipović, Nenad
AU  - Vulović, Radun
AU  - Peulić, Aleksandar
AU  - Radaković, Radivoje
AU  - Kosanić, Đorđe
AU  - Ristić, Branko
PY  - 2009
UR  - https://gery.gef.bg.ac.rs/handle/123456789/331
AB  - The purpose of this investigation was to use a combination of image processing, force measurements and finite element modeling to calculate deformation of the knee cartilage during jumping. Professional athletes performed jumps analyzed using a force plate and high-speed video camera system. Image processing was performed on each frame of video using a color recognition algorithm. A simplified mass-spring-damper model was utilized for determination of global force and moment on the knee. Custom software for fitting the coupling characteristics was created. Simulated results were used as input data for the finite element calculation of cartilage deformation in the athlete's knee. Computer simulation data was compared with the average experimental ground reaction forces. The results show the three-dimensional mechanical deformation distribution inside the cartilage volume. A combination of the image recognition technology, force plate measurements and the finite element cartilage deformation in the knee may be used in the future as an effective noninvasive tool for prediction of injury during jumping.
PB  - Journal Sports Science & Medicine, Bursa
T2  - Journal of Sports Science and Medicine
T1  - Noninvasive determination of knee cartilage deformation during jumping
VL  - 8
IS  - 4
SP  - 584
EP  - 590
UR  - https://hdl.handle.net/21.15107/rcub_gery_331
ER  - 

@article{
author = "Filipović, Nenad and Vulović, Radun and Peulić, Aleksandar and Radaković, Radivoje and Kosanić, Đorđe and Ristić, Branko",
year = "2009",
abstract = "The purpose of this investigation was to use a combination of image processing, force measurements and finite element modeling to calculate deformation of the knee cartilage during jumping. Professional athletes performed jumps analyzed using a force plate and high-speed video camera system. Image processing was performed on each frame of video using a color recognition algorithm. A simplified mass-spring-damper model was utilized for determination of global force and moment on the knee. Custom software for fitting the coupling characteristics was created. Simulated results were used as input data for the finite element calculation of cartilage deformation in the athlete's knee. Computer simulation data was compared with the average experimental ground reaction forces. The results show the three-dimensional mechanical deformation distribution inside the cartilage volume. A combination of the image recognition technology, force plate measurements and the finite element cartilage deformation in the knee may be used in the future as an effective noninvasive tool for prediction of injury during jumping.",
publisher = "Journal Sports Science & Medicine, Bursa",
journal = "Journal of Sports Science and Medicine",
title = "Noninvasive determination of knee cartilage deformation during jumping",
volume = "8",
number = "4",
pages = "584-590",
url = "https://hdl.handle.net/21.15107/rcub_gery_331"
}

Filipović, N., Vulović, R., Peulić, A., Radaković, R., Kosanić, Đ.,& Ristić, B.. (2009). Noninvasive determination of knee cartilage deformation during jumping. in Journal of Sports Science and Medicine
Journal Sports Science & Medicine, Bursa., 8(4), 584-590.
https://hdl.handle.net/21.15107/rcub_gery_331

Filipović N, Vulović R, Peulić A, Radaković R, Kosanić Đ, Ristić B. Noninvasive determination of knee cartilage deformation during jumping. in Journal of Sports Science and Medicine. 2009;8(4):584-590.
https://hdl.handle.net/21.15107/rcub_gery_331 .

Filipović, Nenad, Vulović, Radun, Peulić, Aleksandar, Radaković, Radivoje, Kosanić, Đorđe, Ristić, Branko, "Noninvasive determination of knee cartilage deformation during jumping" in Journal of Sports Science and Medicine, 8, no. 4 (2009):584-590,
https://hdl.handle.net/21.15107/rcub_gery_331 .