@ARTICLE{
author={Dasic Lazar,Blagojevic Andjela,Pavic Ognjen,Geroski Tijana,Filipovic Nenad D},
year={2026},
title={Impact of Different Biomarkers on Prediction Capabilities of Machine Learning Models in Heart Failure Diagnosis},
journal={APPLIED ARTIFICIAL INTELLIGENCE 4-5: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI},
volume={1943},
number={},
pages={220-233},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Pavic Ognjen,Dasic Lazar,Blagojevic Andjela,Geroski Tijana,Filipovic Nenad D},
year={2026},
title={Recognizing Patterns of Emerging Chronic Obstructive Pulmonary Disease in Heart Failure Patients Through the Use of Machine Learning Techniques},
journal={APPLIED ARTIFICIAL INTELLIGENCE 4-5: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI},
volume={1943},
number={},
pages={150-158},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Markovic Nemanja,Geroski Tijana,Pavic Ognjen,Dasic Lazar,Jovanov Emil S,Filipovic Nenad D},
year={2026},
title={Multi-Purpose Wearable Sensory Device for Heart Failure Diagnosis and Biomarker Measurement},
journal={APPLIED ARTIFICIAL INTELLIGENCE 4-5: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI},
volume={1943},
number={},
pages={129-136},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Blagojevic Andjela,Tomasevic Smiljana,Pavic Ognjen,Dasic Lazar,Geroski Tijana,Preveden Andrej,Velicki Lazar,Filipovic Nenad D},
year={2026},
title={Heart Failure Disease Progression Assessment in Patients Through the Use of Traditional Machine Learning Approaches},
journal={APPLIED ARTIFICIAL INTELLIGENCE 4-5: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI},
volume={1943},
number={},
pages={39-48},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Blagojevic Andjela,Obradovic Ognjen,Geroski Tijana,Pavic Ognjen,Kim Min Woo,Filipovic Nenad D},
year={2026},
title={Transfer Learning with Limited Data for Mice Lung Segmentation in Synchrotron X-Ray Tomography},
journal={ANNALS OF BIOMEDICAL ENGINEERING},
volume={},
number={},
pages={-},
document_type={Article; Early Access},
} 

@ARTICLE{
author={Djukic Tijana R,Pavic Ognjen,Dasic Lazar,Geroski Tijana,Filipovic Nenad D},
year={2025},
title={Application of Pak Software for the Calculation of Vffr in Coronary Arteries},
journal={JOURNAL OF THE SERBIAN SOCIETY FOR COMPUTATIONAL MECHANICS},
volume={19},
number={1},
pages={362-371},
document_type={Review},
} 

@ARTICLE{
author={Geroski Tijana,Pavic Ognjen,Dasic Lazar,Amini Amir,Filipovic Nenad D},
year={2025},
title={Cardiac Segmentation Using UNETR: A Transformer Based Deep Learning Approach on the ACDC Dataset},
journal={APPLIED ARTIFICIAL INTELLIGENCE 4: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI},
volume={1446},
number={},
pages={371-385},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Djukic Tijana R,Pavic Ognjen,Dasic Lazar,Geroski Tijana,Filipovic Nenad D},
year={2025},
title={Automatization of 3D Reconstruction of Coronary Arteries from Angiography Projections Using AI-Enhanced Segmentation Techniques},
journal={APPLIED ARTIFICIAL INTELLIGENCE 4: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI},
volume={1446},
number={},
pages={365-370},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Pavic Ognjen,Geroski Tijana,Dasic Lazar,Filipovic Nenad D},
year={2025},
title={Multilabel Classification Process Optimization Through the Utilization of Transfer Learning Approaches Supported by Decision Postprocessing Techniques},
journal={APPLIED ARTIFICIAL INTELLIGENCE 4: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI},
volume={1446},
number={},
pages={248-255},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Dasic Lazar,Geroski Tijana,Pavic Ognjen,Filipovic Nenad D},
year={2025},
title={Development of Convolutional Neural Network for Classification of Heart Sounds Utilizing Mel-Frequency Cepstral Coefficients},
journal={APPLIED ARTIFICIAL INTELLIGENCE 4: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI},
volume={1446},
number={},
pages={166-174},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Geroski Tijana,Rankovic Vesna M,Pavic Ognjen,Dasic Lazar,Petrovic Marina D,Milovanovic Dragan R,Filipovic Nenad D},
year={2025},
title={Enhancing COVID-19 disease severity classification through advanced transfer learning techniques and optimal weight initialization schemes},
journal={BIOMEDICAL SIGNAL PROCESSING AND CONTROL},
volume={100},
number={},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Pavic Jelena N,Zivanovic Marko N,Tanaskovic Irena,Pavic Ognjen,Stankovic Vesna D,Virijevic Katarina D,Mladenovic Tamara M,Kosaric Jelena V,Milicevic Bogdan,Qamar Safi Ur Rehman,Velicki Lazar U,Novakovic Ivana,Preveden Andrej T,...,Tesic Milorad B,Seman Stefan,Filipovic Nenad D},
year={2024},
title={A Machine Learning Approach to Gene Expression in Hypertrophic Cardiomyopathy},
journal={PHARMACEUTICALS},
volume={17},
number={10},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Geroski Tijana,Pavic Ognjen,Dasic Lazar,Milovanovic Dragan R,Petrovic Marina D,Filipovic Nenad D},
year={2024},
title={SoftLungX: leveraging transfer learning with convolutional neural networks for accurate respiratory disease classification in chest X-ray images},
journal={JOURNAL OF BIG DATA},
volume={11},
number={1},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Dasic Lazar,Pavic Ognjen,Geroski Tijana,Filipovic Nenad D},
year={2024},
title={An Unsupervised Image Segmentation Workflow for Extraction of Left Coronary Artery from X-Ray Coronary Angiography},
journal={APPLIED ARTIFICIAL INTELLIGENCE 2: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI 2023},
volume={999},
number={},
pages={116-122},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Pavic Ognjen,Dasic Lazar,Geroski Tijana,Stanojevic-Pirkovic Marijana S,Milovanovic Aleksandar,Filipovic Nenad D},
year={2024},
title={Application of Ensemble Machine Learning for Classification Problems on Very Small Datasets},
journal={APPLIED ARTIFICIAL INTELLIGENCE 2: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI 2023},
volume={999},
number={},
pages={108-115},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Pavic Ognjen,Dasic Lazar,Geroski Tijana,Vaskovic-Jovanovic Mina,Filipovic Nenad D},
year={2023},
title={Risk Classification for Sudden Cardiac Death in Patients with Hypertrophic Cardiomyopathy Based on Machine Learning Algorithms},
journal={JOURNAL OF THE SERBIAN SOCIETY FOR COMPUTATIONAL MECHANICS},
volume={17},
number={2},
pages={153-165},
document_type={Article},
} 

@ARTICLE{
author={Stanojevic-Pirkovic Marijana S,Pavic Ognjen,Filipovic Filip,Saveljic Igor B,Sustersic Tijana,Exarchos Themis,Filipovic Nenad D},
year={2023},
title={Fractional Flow Reserve-Based Patient Risk Classification},
journal={DIAGNOSTICS},
volume={13},
number={21},
pages={-},
document_type={Article},
} 

