Tijana Geroski

12 papers C 6Journal 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers.
IEEE J. Biomed. Health Informatics
Andreas S. Panayides, Hao Chen, Nenad D. Filipovic, Tijana Geroski, Junlin Hou, Karim Lekadir, Kostas Marias, George K. Matsopoulos, Giorgos Papanastasiou, Pinaki Sarder, Georgia D. Tourassi, Sotirios A. Tsaftaris, Huazhu Fu, Efthyvoulos C. Kyriacou, Christos P. Loizou, Michalis E. Zervakis, Joel H. Saltz, Farah E. Shamout, Ken C. L. Wong, Jianhua Yao, Amir A. Amini, Dimitrios I. Fotiadis, Constantinos S. Pattichis, Marios S. Pattichis
2025 J jnl
Enhancing COVID-19 disease severity classification through advanced transfer learning techniques and optimal weight initialization schemes.
Biomed. Signal Process. Control.
Tijana Geroski, Vesna Rankovic, Ognjen Pavic, Lazar Dasic, Marina Petrovic, Dragan Milovanovic, Nenad Filipovic
2025 C conf
Evaluation of Medical Biomarkers in Machine Learning Models for Classification of Heart Failure with Preserved and Reduced Ejection Fraction.
BIBE
Lazar Dasic, Tijana Geroski, Ognjen Pavic, Andela Blagojevic, Bojana Bajic, Ilija Kamenko, Nenad Filipovic
2025 C conf
Multi-Stage Classification Approach for Heart Failure Disease Diagnosis and Reduced Ejection Fraction Prediction.
BIBE
Ognjen Pavic, Lazar Dasic, Andela Blagojevic, Tijana Geroski, Nenad Filipovic
2025 J jnl
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting.
CoRR
Zhuding Liang, Jianxun Cui, Qingshuang Zeng, Feng Liu, Nenad Filipovic, Tijana Geroski
2024 C conf
AI-Driven Decision Support System for Heart Failure Diagnosis: INTELHEART Approach Towards Personalized Treatment Strategies.
BIBE
Smiljana Tomasevic, Andjela Blagojevic, Tijana Geroski, Gordana R. Jovicic, Bogdan Milicevic, Momcilo Prodanovic, Ilija Kamenko, Bojana Bajic, Stefan Simovic, Goran Davidovic, Dragana Ignjatovic Ristic, Andrej Preveden, Lazar U. Velicki, Arsen Ristic, Svetlana R. Apostolovic, Edin Dolicanin, Nenad Filipovic
2024 J jnl
SGABU computational platform for multiscale modeling: Bridging the gap between education and research.
Comput. Methods Programs Biomed.
Tijana Geroski, Orestis Gkaintes, Aleksandra Vulovic, Niketa Ukaj, Jorge Barrasa-Fano, Fernando Perez-Boerema, Bogdan Milicevic, Aleksandar Atanasijevic, Jelena Zivkovic, Andreja Zivic, Maria Roumpi, Themis P. Exarchos, Christian Hellmich, Stefan Scheiner, Hans Van Oosterwyck, Djordje G. Jakovljevic, Milos R. Ivanovic, Nenad Filipovic
2024 C conf
Semantic Image Segmentation of Cell Volumes Using 3D U-Net Convolutional Neural Network.
BIBE
Lazar Dasic, Jorge Barrasa-Fano, Ognjen Pavic, Tijana Geroski, Apeksha Shapeti, Hans Van Oosterwyck, Vesna Rankovic, Nenad Filipovic
2024 J jnl
SoftLungX: leveraging transfer learning with convolutional neural networks for accurate respiratory disease classification in chest X-ray images.
J. Big Data
Tijana Geroski, Ognjen Pavic, Lazar Dasic, Dragan Milovanovic, Marina Petrovic, Nenad Filipovic
2024 C conf
Unsupervised Deep Learning Method for Cell Segmentation of Confocal Microscopy Images.
BIBE
Ognjen Pavic, Jorge Barrasa-Fano, Lazar Dasic, Tijana Geroski, Apeksha Shapeti, Hans Van Oosterwyck, Vesna Rankovic, Nenad Filipovic
2023 J jnl
Big Data in multiscale modelling: from medical image processing to personalized models.
J. Big Data
Tijana Geroski, Djordje G. Jakovljevic, Nenad Filipovic
2023 C conf
Transfer Learning with Deep Convolutional Neural Networks for Respiratory Disease Classification in X-Ray Images.
BIBE
Lazar Dasic, Ognjen Pavic, Tijana Geroski, Dragan Milovanovic, Marina Petrovic, Nenad Filipovic