Publications

Conference papers:

  • Tijana Geroski, Ognjen Pavić, Lazar Dašić, Marina Petrović, Dragan Milovanović, Nenad Filipović, (2023), “Machine learning in  medical image processing – from medical images to automated diagnosis”. International Scientific Conference Contemporary Materials – Banja Luka (September 8th, 2023)

 

  • Lazar Dašić, Ognjen Pavić, Tijana Geroski, Dragan Milovanović, Marina Petrović, Nenad Filipović, (2023), “Transfer Learning with Deep Convolutional Neural Networks for Respiratory Disease Classification in X-ray Images”. The 23rd IEEE International Conference on Bioinformatics and Bioengineering (BIBE) (Virtual) (December, 4-6th). https://doi.org/10.1109/BIBE60311.2023.00035

 

  • Lazar Dašić, Ognjen Pavić, Tijana Geroski, Mina Vasković Jovanović, Nenad Filipović, (2024), “Comparison of Different Convolutional Neural Networks Utilizing Transfer Learning for Pneumothorax Segmentation from Whole Chest X-Ray Images and Extracted Patches ”. 14th International Conference on Information Society and Technology (Kopaonik, Serbia, March 10-13). https://link.springer.com/chapter/10.1007/978-3-031-71419-1_15

 

Journal papers:

  • Tijana Geroski, Vesna Ranković, Ognjen Pavić, Lazar Dašić, Marina Petrović, Dragan Milovanović, Nenad Filipović, (2024). “Enhancing COVID-19 disease severity classification through advanced transfer learning techniques and optimal weight initialization schemes”. Biomedical Signal Processing and Control, 100, 107103. https://doi.org/10.1016/j.bspc.2024.107103
     
  • Tijana Geroski, Ognjen Pavić, Lazar Dašić, Dragan Milovanović, Marina Petrović, Nenad Filipović (2024). “SoftLungX: leveraging transfer learning with convolutional neural networks for accurate respiratory disease classification in chest X-ray images”. Journal of Big Data, 11(1), 146. https://doi.org/10.1186/s40537-024-01018-0

 

Book chapters:

  • Lazar Dašić, Nenad Filipović (2024). “Use Case: Application of Deep Learning Methods in Diagnosis of Lung Diseases from Medical Imaging Data”. In In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach (pp. 399-424). Cham: Springer Nature Switzerland. https://link.springer.com/chapter/10.1007/978-3-031-60044-9_14