Lazar Dasic

According to our database, Lazar Dasic authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Multi-Stage Classification Approach for Heart Failure Disease Diagnosis and Reduced Ejection Fraction Prediction.

Ognjen Pavic, Lazar Dasic, Andela Blagojevic, Tijana Geroski, Nenad Filipovic

Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

Evaluation of Medical Biomarkers in Machine Learning Models for Classification of Heart Failure with Preserved and Reduced Ejection Fraction.

Lazar Dasic, Tijana Geroski, Ognjen Pavic, Andela Blagojevic, Bojana Bajic, Ilija Kamenko, Nenad Filipovic

Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

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, December, 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

Proceedings of the 24th IEEE International Conference on Bioinformatics and Bioengineering, 2024

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

Proceedings of the 24th IEEE International Conference on Bioinformatics and Bioengineering, 2024

2023

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

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023