TY  - JOUR
AU  - Sustersić, Tijana
AU  - Ranković, Vesna
AU  - Peulić, Miodrag
AU  - Peulić, Aleksandar
PY  - 2020
UR  - https://gery.gef.bg.ac.rs/handle/123456789/1055
AB  - The aim of this research was to analyze objectively the process of disc herniation identification using Bayes Theorem. One of the symptoms of discus hernia is muscle weakness on the foot that is caused by displaced discs in the space of two vertebrae. This fact is used by experts in initial diagnosis of herniated discs and we used it to create non-invasive platform for the same purposes by measuring force values from four sensors placed on both feet (first, second, and fourth metatarsal head as well as the heel). Dataset consisted of several minute force recordings of 56 subjects with discus hernia and 15 healthy individuals during normal standing, standing on forefeet and heels. The subjects were diagnosed by a specialist with either L4/L5 or L5/S1 discus hernia. Collected recordings were processed in several steps including filtering, extraction of forefeet and heel recordings, classification of average values for forefeet, and heel sensors to the groups with or without foot muscle weakness. Application of Bayes Theorem on the attributes of interest showed average 78.3 accuracy with 62.6 sensitivity and 80.9 specificity, while application of naive Bayes Network showed average 83.1 accuracy with 57.6 sensitivity and 88.2 specificity. Very weak or no correlation was observed between gender and disc hernia diagnosis (or obesity type and disc hernia diagnosis). Obtained results show that this method can be used in initial screening of patients and be a supportive tool to doctors to send the same patients for further examination.
PB  - IEEE -Inst Electrical Electronics Engineers Inc, Piscataway
T2  - IEEE Journal of Biomedical and Health Informatics
T1  - An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure Based on Bayes Theorem
VL  - 24
IS  - 1
SP  - 151
EP  - 159
DO  - 10.1109/JBHI.2019.2899665
UR  - https://hdl.handle.net/21.15107/rcub_gery_1055
ER  - 

@article{
author = "Sustersić, Tijana and Ranković, Vesna and Peulić, Miodrag and Peulić, Aleksandar",
year = "2020",
abstract = "The aim of this research was to analyze objectively the process of disc herniation identification using Bayes Theorem. One of the symptoms of discus hernia is muscle weakness on the foot that is caused by displaced discs in the space of two vertebrae. This fact is used by experts in initial diagnosis of herniated discs and we used it to create non-invasive platform for the same purposes by measuring force values from four sensors placed on both feet (first, second, and fourth metatarsal head as well as the heel). Dataset consisted of several minute force recordings of 56 subjects with discus hernia and 15 healthy individuals during normal standing, standing on forefeet and heels. The subjects were diagnosed by a specialist with either L4/L5 or L5/S1 discus hernia. Collected recordings were processed in several steps including filtering, extraction of forefeet and heel recordings, classification of average values for forefeet, and heel sensors to the groups with or without foot muscle weakness. Application of Bayes Theorem on the attributes of interest showed average 78.3 accuracy with 62.6 sensitivity and 80.9 specificity, while application of naive Bayes Network showed average 83.1 accuracy with 57.6 sensitivity and 88.2 specificity. Very weak or no correlation was observed between gender and disc hernia diagnosis (or obesity type and disc hernia diagnosis). Obtained results show that this method can be used in initial screening of patients and be a supportive tool to doctors to send the same patients for further examination.",
publisher = "IEEE -Inst Electrical Electronics Engineers Inc, Piscataway",
journal = "IEEE Journal of Biomedical and Health Informatics",
title = "An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure Based on Bayes Theorem",
volume = "24",
number = "1",
pages = "151-159",
doi = "10.1109/JBHI.2019.2899665",
url = "https://hdl.handle.net/21.15107/rcub_gery_1055"
}

Sustersić, T., Ranković, V., Peulić, M.,& Peulić, A.. (2020). An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure Based on Bayes Theorem. in IEEE Journal of Biomedical and Health Informatics
IEEE -Inst Electrical Electronics Engineers Inc, Piscataway., 24(1), 151-159.
https://doi.org/10.1109/JBHI.2019.2899665
https://hdl.handle.net/21.15107/rcub_gery_1055

Sustersić T, Ranković V, Peulić M, Peulić A. An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure Based on Bayes Theorem. in IEEE Journal of Biomedical and Health Informatics. 2020;24(1):151-159.
doi:10.1109/JBHI.2019.2899665
https://hdl.handle.net/21.15107/rcub_gery_1055 .

Sustersić, Tijana, Ranković, Vesna, Peulić, Miodrag, Peulić, Aleksandar, "An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure Based on Bayes Theorem" in IEEE Journal of Biomedical and Health Informatics, 24, no. 1 (2020):151-159,
https://doi.org/10.1109/JBHI.2019.2899665 .,
https://hdl.handle.net/21.15107/rcub_gery_1055 .

TY  - JOUR
AU  - Sustersić, Tijana
AU  - Peulić, Aleksandar
PY  - 2019
UR  - https://gery.gef.bg.ac.rs/handle/123456789/972
AB  - The aim of this study is to implement an algorithm for face recognition, based on fast fourier transform (FFT), on the field programmable gate array (FPGA) chip. Implemented program included the initialization process of two single-IP-core ROM blocks, each with an image of a human face, which are sent to the real components of two-channel IP CoreFFT block. The result of classification could be displayed in the form of either a word "yes" or "no" on the seven-segment display or the information about the reference to the folder with the found match face. Due to the lack of memory on the chip, the results are discussed based on the results obtained by the simulation, whilst the implemented part of the system included displaying images on VGA monitor and result of the algorithm shown on seven-segment display or realized as a software solution in Matlab. The results show 79% accuracy and the advantage of presented system lies in the possibility of working with images in real time. The results obtained in this study can be a good starting point in the implementation of complex algorithms for face recognition using all the benefits that FPGAs offer.
PB  - World Scientific Publ Co Pte Ltd, Singapore
T2  - Journal of Circuits Systems and Computers
T1  - Implementation of Face Recognition Algorithm on Field Programmable Gate Array (FPGA)
VL  - 28
IS  - 8
DO  - 10.1142/S0218126619501299
UR  - https://hdl.handle.net/21.15107/rcub_gery_972
ER  - 

@article{
author = "Sustersić, Tijana and Peulić, Aleksandar",
year = "2019",
abstract = "The aim of this study is to implement an algorithm for face recognition, based on fast fourier transform (FFT), on the field programmable gate array (FPGA) chip. Implemented program included the initialization process of two single-IP-core ROM blocks, each with an image of a human face, which are sent to the real components of two-channel IP CoreFFT block. The result of classification could be displayed in the form of either a word "yes" or "no" on the seven-segment display or the information about the reference to the folder with the found match face. Due to the lack of memory on the chip, the results are discussed based on the results obtained by the simulation, whilst the implemented part of the system included displaying images on VGA monitor and result of the algorithm shown on seven-segment display or realized as a software solution in Matlab. The results show 79% accuracy and the advantage of presented system lies in the possibility of working with images in real time. The results obtained in this study can be a good starting point in the implementation of complex algorithms for face recognition using all the benefits that FPGAs offer.",
publisher = "World Scientific Publ Co Pte Ltd, Singapore",
journal = "Journal of Circuits Systems and Computers",
title = "Implementation of Face Recognition Algorithm on Field Programmable Gate Array (FPGA)",
volume = "28",
number = "8",
doi = "10.1142/S0218126619501299",
url = "https://hdl.handle.net/21.15107/rcub_gery_972"
}

Sustersić, T.,& Peulić, A.. (2019). Implementation of Face Recognition Algorithm on Field Programmable Gate Array (FPGA). in Journal of Circuits Systems and Computers
World Scientific Publ Co Pte Ltd, Singapore., 28(8).
https://doi.org/10.1142/S0218126619501299
https://hdl.handle.net/21.15107/rcub_gery_972

Sustersić T, Peulić A. Implementation of Face Recognition Algorithm on Field Programmable Gate Array (FPGA). in Journal of Circuits Systems and Computers. 2019;28(8).
doi:10.1142/S0218126619501299
https://hdl.handle.net/21.15107/rcub_gery_972 .

Sustersić, Tijana, Peulić, Aleksandar, "Implementation of Face Recognition Algorithm on Field Programmable Gate Array (FPGA)" in Journal of Circuits Systems and Computers, 28, no. 8 (2019),
https://doi.org/10.1142/S0218126619501299 .,
https://hdl.handle.net/21.15107/rcub_gery_972 .

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  - 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  - Milošević, Marina
AU  - Janković, Dragan
AU  - Peulić, Aleksandar
PY  - 2014
UR  - https://gery.gef.bg.ac.rs/handle/123456789/606
AB  - In this paper, we present a system based on feature extraction techniques and image segmentation techniques for detecting and diagnosing abnormal patterns in breast thermograms. The proposed system consists of three major steps: feature extraction, classification into normal and abnormal pattern and segmentation of abnormal pattern. Computed features based on Gray Level Co-occurrence Matrices (GLCM) are used to evaluate the effectiveness of textural information possessed by mass regions. A total of 20 GLCM features are extracted from thermograms. The ability of feature set in differentiating abnormal from normal tissue is investigated using a Support Vector Machine classifier, Naive Bayes classifier and K-Nearest Neighbor classifier. To evaluate the classification performance, five-fold cross validation method and Receiver operating characteristic analysis was performed. The verification results show that the proposed algorithm gives the best classification results using K-Nearest Neighbor classifier and a accuracy of 92.5 %. Image segmentation techniques can play an important role to segment and extract suspected hot regions of interests in the breast infrared images. Three image segmentation techniques: minimum variance quantization, dilation of image and erosion of image are discussed. The hottest regions of thermal breast images are extracted and compared to the original images. According to the results, the proposed method has potential to extract almost exact shape of tumors.
PB  - Excli Journal Managing Office, Dortmund
T2  - Excli Journal
T1  - Thermography based breast cancer detection using texture features and minimum variance quantization
VL  - 13
SP  - 1204
EP  - 1215
UR  - https://hdl.handle.net/21.15107/rcub_gery_606
ER  - 

@article{
author = "Milošević, Marina and Janković, Dragan and Peulić, Aleksandar",
year = "2014",
abstract = "In this paper, we present a system based on feature extraction techniques and image segmentation techniques for detecting and diagnosing abnormal patterns in breast thermograms. The proposed system consists of three major steps: feature extraction, classification into normal and abnormal pattern and segmentation of abnormal pattern. Computed features based on Gray Level Co-occurrence Matrices (GLCM) are used to evaluate the effectiveness of textural information possessed by mass regions. A total of 20 GLCM features are extracted from thermograms. The ability of feature set in differentiating abnormal from normal tissue is investigated using a Support Vector Machine classifier, Naive Bayes classifier and K-Nearest Neighbor classifier. To evaluate the classification performance, five-fold cross validation method and Receiver operating characteristic analysis was performed. The verification results show that the proposed algorithm gives the best classification results using K-Nearest Neighbor classifier and a accuracy of 92.5 %. Image segmentation techniques can play an important role to segment and extract suspected hot regions of interests in the breast infrared images. Three image segmentation techniques: minimum variance quantization, dilation of image and erosion of image are discussed. The hottest regions of thermal breast images are extracted and compared to the original images. According to the results, the proposed method has potential to extract almost exact shape of tumors.",
publisher = "Excli Journal Managing Office, Dortmund",
journal = "Excli Journal",
title = "Thermography based breast cancer detection using texture features and minimum variance quantization",
volume = "13",
pages = "1204-1215",
url = "https://hdl.handle.net/21.15107/rcub_gery_606"
}

Milošević, M., Janković, D.,& Peulić, A.. (2014). Thermography based breast cancer detection using texture features and minimum variance quantization. in Excli Journal
Excli Journal Managing Office, Dortmund., 13, 1204-1215.
https://hdl.handle.net/21.15107/rcub_gery_606

Milošević M, Janković D, Peulić A. Thermography based breast cancer detection using texture features and minimum variance quantization. in Excli Journal. 2014;13:1204-1215.
https://hdl.handle.net/21.15107/rcub_gery_606 .

Milošević, Marina, Janković, Dragan, Peulić, Aleksandar, "Thermography based breast cancer detection using texture features and minimum variance quantization" in Excli Journal, 13 (2014):1204-1215,
https://hdl.handle.net/21.15107/rcub_gery_606 .

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  - 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 .