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2020 – today
- 2025
[j2]Tijana Geroski, Vesna Rankovic, Ognjen Pavic, Lazar Dasic
, Marina Petrovic, Dragan Milovanovic, Nenad Filipovic:
Enhancing COVID-19 disease severity classification through advanced transfer learning techniques and optimal weight initialization schemes. Biomed. Signal Process. Control. 100: 107103 (2025)- 2024
- [j1]Tijana Geroski, Ognjen Pavic, Lazar Dasic, Dragan Milovanovic, Marina Petrovic, Nenad Filipovic:
SoftLungX: leveraging transfer learning with convolutional neural networks for accurate respiratory disease classification in chest X-ray images. J. Big Data 11(1): 146 (2024) - [c4]Lazar Dasic, Jorge Barrasa-Fano, Ognjen Pavic, Tijana Geroski, Apeksha Shapeti, Hans Van Oosterwyck, Vesna Rankovic, Nenad Filipovic:
Semantic Image Segmentation of Cell Volumes Using 3D U-Net Convolutional Neural Network. BIBE 2024: 1-6 - [c3]Ognjen Pavic, Jorge Barrasa-Fano, Lazar Dasic, Tijana Geroski, Apeksha Shapeti, Hans Van Oosterwyck, Vesna Rankovic, Nenad Filipovic:
Unsupervised Deep Learning Method for Cell Segmentation of Confocal Microscopy Images. BIBE 2024: 1-7 - [c2]Jelena Pavic, Marko Zivanovic, Ognjen Pavic, Katarina Virijevic, Tamara Mladenovic, Irena Tanaskovic, Nenad Filipovic:
Application of Machine Learning in the Analysis of Gene Expression in Colorectal Cancer Cells Treated With Chemotherapeutics. BIBE 2024: 1-4 - 2023
- [c1]Lazar Dasic, Ognjen Pavic, Tijana Geroski, Dragan Milovanovic, Marina Petrovic, Nenad Filipovic:
Transfer Learning with Deep Convolutional Neural Networks for Respiratory Disease Classification in X-Ray Images. BIBE 2023: 176-180
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