Autori: Pavic Ognjen
| Naslov | Transfer Learning with Limited Data for Mice Lung Segmentation in Synchrotron X-Ray Tomography (Article; Early Access) |
| Autori | Blagojevic Andjela Obradovic Ognjen Geroski Tijana Pavic Ognjen Kim Min Woo Filipovic Nenad D |
| Info | ANNALS OF BIOMEDICAL ENGINEERING, (2026), vol. br. , str. - |
| Projekat | Ministry of Education, Science and Technology [2019R1A6A1A03033215]; Ministarstvo Prosvete, Nauke i Tehnoloscaron;kog Razvoja [451-03-136/2025-03/200107, 451-03-136/2025-03/200378] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: |
| Naslov | Application of Pak Software for the Calculation of Vffr in Coronary Arteries (Review) |
| Autori | Djukic Tijana R Pavic Ognjen Dasic Lazar Geroski Tijana Filipovic Nenad D |
| Info | JOURNAL OF THE SERBIAN SOCIETY FOR COMPUTATIONAL MECHANICS, (2025), vol. 19 br. 1, str. 362-371 |
| Projekat | European Union [101080905]; Innovation Fund of the Republic of Serbia; Serbian Ministry of Science, Technological Development and Innovation [451-03-66/2024-03/200378, 451-03-65/2024-03/200107] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
| Naslov | Cardiac Segmentation Using UNETR: A Transformer Based Deep Learning Approach on the ACDC Dataset (Proceedings Paper) |
| Autori | Geroski Tijana Pavic Ognjen Dasic Lazar Amini Amir Filipovic Nenad D |
| Info | APPLIED ARTIFICIAL INTELLIGENCE 4: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI, (2025), vol. 1446 br. , str. 371-385 |
| Projekat | European Union's Horizon Europe research and innovation programme [101080905]; Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-65/2024-03/200107, 451-03-66/2024-03/200378]; Fulbright U.S. Visiting Scholar Program [2024-2025]; U.S. Department of State; Bioimaging Endowment of Medical Imaging Lab of the University of Louisville |
| Ispravka | ISI/Web of Science Članak |
| Naslov | Automatization of 3D Reconstruction of Coronary Arteries from Angiography Projections Using AI-Enhanced Segmentation Techniques (Proceedings Paper) |
| Autori | Djukic Tijana R Pavic Ognjen Dasic Lazar Geroski Tijana Filipovic Nenad D |
| Info | APPLIED ARTIFICIAL INTELLIGENCE 4: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI, (2025), vol. 1446 br. , str. 365-370 |
| Ispravka | ISI/Web of Science Članak |
| Naslov | Multilabel Classification Process Optimization Through the Utilization of Transfer Learning Approaches Supported by Decision Postprocessing Techniques (Proceedings Paper) |
| Autori | Pavic Ognjen Geroski Tijana Dasic Lazar Filipovic Nenad D |
| Info | APPLIED ARTIFICIAL INTELLIGENCE 4: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI, (2025), vol. 1446 br. , str. 248-255 |
| Projekat | European Union [101016834]; Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-65/2024-03/200107, 451-03-66/2024-03/200378] |
| Ispravka | ISI/Web of Science Članak |
| Naslov | Development of Convolutional Neural Network for Classification of Heart Sounds Utilizing Mel-Frequency Cepstral Coefficients (Proceedings Paper) |
| Autori | Dasic Lazar Geroski Tijana Pavic Ognjen Filipovic Nenad D |
| Info | APPLIED ARTIFICIAL INTELLIGENCE 4: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI, (2025), vol. 1446 br. , str. 166-174 |
| Projekat | European Union's Horizon Europe research and innovation programme [101080905]; Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-0365/2024-03/200107, 451-03-66/2024-03/200378]; Science Fund of the Republic of Serbia [7580] |
| Ispravka | ISI/Web of Science Članak |
| Naslov | Enhancing COVID-19 disease severity classification through advanced transfer learning techniques and optimal weight initialization schemes (Article) |
| Autori | Geroski Tijana Rankovic Vesna M Pavic Ognjen Dasic Lazar Petrovic Marina D Milovanovic Dragan R Filipovic Nenad D |
| Info | BIOMEDICAL SIGNAL PROCESSING AND CONTROL, (2025), vol. 100 br. , str. - |
| Projekat | European Union [101016834]; Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-47/2023-01/200107, 451-03-47/2023 01/200378] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
| Naslov | A Machine Learning Approach to Gene Expression in Hypertrophic Cardiomyopathy (Article) |
| Autori | Pavic Jelena N Zivanovic Marko N Tanaskovic Irena Pavic Ognjen Stankovic Vesna D Virijevic Katarina D Mladenovic Tamara M Kosaric Jelena V Milicevic Bogdan Qamar Safi Ur Rehman Velicki Lazar U Novakovic Ivana Preveden Andrej T ... Tesic Milorad B Seman Stefan Filipovic Nenad D |
| Info | PHARMACEUTICALS, (2024), vol. 17 br. 10, str. - |
| Projekat | European Union's Horizon Europe research and innovation programme; [101080905] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
| Naslov | SoftLungX: leveraging transfer learning with convolutional neural networks for accurate respiratory disease classification in chest X-ray images (Article) |
| Autori | Geroski Tijana Pavic Ognjen Dasic Lazar Milovanovic Dragan R Petrovic Marina D Filipovic Nenad D |
| Info | JOURNAL OF BIG DATA, (2024), vol. 11 br. 1, str. - |
| Projekat | European Union's Horizon 2020 research and innovation programme under grant agreement No 101016834 (HOSMARTAI) |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
| Naslov | An Unsupervised Image Segmentation Workflow for Extraction of Left Coronary Artery from X-Ray Coronary Angiography (Proceedings Paper) |
| Autori | Dasic Lazar Pavic Ognjen Geroski Tijana Filipovic Nenad D |
| Info | APPLIED ARTIFICIAL INTELLIGENCE 2: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI 2023, (2024), vol. 999 br. , str. 116-122 |
| Projekat | Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-47/2023-01/200378]; European Union [952603] |
| Ispravka | ISI/Web of Science Članak |
