Transfer Learning with Deep Convolutional Neural Networks for Respiratory Disease Classification in X-Ray Images. - Lazar Dasic; Ognjen Pavic; Tijana Geroski; Dragan Milovanovic; Marina Petrovic; Nenad Filipovic (BIBE, 2023)

Semantic Image Segmentation of Cell Volumes Using 3D U-Net Convolutional Neural Network. - Lazar Dasic; Jorge Barrasa-Fano; Ognjen Pavic; Tijana Geroski; Apeksha Shapeti; Hans Van Oosterwyck; Vesna Rankovic; Nenad Filipovic (BIBE, 2024)

Unsupervised Deep Learning Method for Cell Segmentation of Confocal Microscopy Images. - Ognjen Pavic; Jorge Barrasa-Fano; Lazar Dasic; Tijana Geroski; Apeksha Shapeti; Hans Van Oosterwyck; Vesna Rankovic; Nenad Filipovic (BIBE, 2024)

Application of Machine Learning in the Analysis of Gene Expression in Colorectal Cancer Cells Treated With Chemotherapeutics. - Jelena Pavic; Marko Zivanovic; Ognjen Pavic; Katarina Virijevic; Tamara Mladenovic; Irena Tanaskovic; Nenad Filipovic (BIBE, 2024)

SoftLungX: leveraging transfer learning with convolutional neural networks for accurate respiratory disease classification in chest X-ray images. - Tijana Geroski; Ognjen Pavic; Lazar Dasic; Dragan Milovanovic; Marina Petrovic; Nenad Filipovic (J. Big Data, 2024)

Enhancing COVID-19 disease severity classification through advanced transfer learning techniques and optimal weight initialization schemes. - Tijana Geroski; Vesna Rankovic; Ognjen Pavic; Lazar Dasic; Marina Petrovic; Dragan Milovanovic; Nenad Filipovic (Biomed. Signal Process. Control., 2025)