Researchers
Geroski, Tijana
Results 41-60 of 162
| Issue Date | Title | Author(s) | Type | Мp-cat. |
|---|---|---|---|---|
| 2024 | Bridging the Gap: Physics-Driven Deep Learning for Heat Transfer Model of the Heart Tissue | Geroski, Tijana   ; Pavić, Ognjen ; Dašić, Lazar ; Filipović, Nenad | Book parts | Mp. category will be shown later |
| 2024 | The Importance of Genetic and Clinical Data Features in Risk Stratification of Patients with Hypertrophic Cardiomyopathy | Pavić, Ognjen ; Dašić, Lazar ; Geroski, Tijana ; Blagojević, Anđela ; Filipović, Nenad | Book parts | Mp. category will be shown later |
| 2024 | Prediction of Coronary Plaque Progression Using Data Mining and Artificial Neural Networks | Spahić, Lemana; Benolić, Leo; Qamar, Safi Ur Rehman ; Simic, Vladimir ; Miličević, Bogdan ; Milošević, Miljan ; Geroski, Tijana ; Filipović, Nenad | Book parts | Mp. category will be shown later |
| 2024 | Unsupervised Deep Learning Method for Cell Segmentation of Confocal Microscopy Images. | Pavić, Ognjen ; Barrasa Fano, Jorge; Dašić, Lazar ; Geroski, Tijana ; Shapeti, Apeksha; Van Oosterwyck, Hans; Rankovic, Vesna ; Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2024 | Automatization of 3D reconstruction of coronary arteries from angiography projections using AI-enhanced segmentation techniques | Djukic, Tijana ; Pavic, Ognjen ; Dasic, Lazar ; Tijana Geroski ; Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2023 | A Fully Automated Approach to Preprocessing and Segmentation of Coronary Arteries in X-ray Angiography Images | Pavić, Ognjen ; Dašić, Lazar ; Geroski, Tijana ; Filipović, Nenad | Conference Paper | Mp. category will be shown later |
| 2023 | Ensemble machine learning as an approach for improvement of classification on very small datasets | Pavić, Ognjen ; Dašić, Lazar ; Tijana Geroski ; Pirković, Stanojević Marijana ; Filipović, Nenad | Conference Paper | Mp. category will be shown later |
| 2023 | Predicting Discus Hernia from MRI Images Using Deep Transfer Learning | Tijana Geroski ; Ranković, Vesna ; Milovanović, Vladimir ; Kovačević, Vojin ; Rasulić, Lukas ; Filipović, Nenad | Conference Paper | Mp. category will be shown later |
| 2023 | Transfer Learning with Deep Convolutional Neural Networks for Respiratory Disease Classification in X-ray Images | Dašić, Lazar ; Pavić, Ognjen ; Tijana Geroski ; Milovanović, Dragan ; Petrović, Marina ; Filipović, Nenad | Other | Mp. category will be shown later |
| 2023 | Deep Learning and Computational Fluid Dynamics Applied on 3D Intracranial Aneurism | Filipović, Filip; Pavić, Ognjen ; Dašić, Lazar ; Tijana Geroski ; Ranković, Vesna | Conference Paper | Mp. category will be shown later |
| 2023 | The Effect of Machine Learning Algorithms on the Prediction of Layer-by-Layer Coating Properties | Tijana Šušteršič ; Varvara Gribova; Milica Nikolic ; Lavalle Philippe; Nenad Filipovic ; Nihal Engin Vrana | Article | 21M21 |
| 2023 | 3D Printing Technology in Cranioplasty: Case Study | Tijana Geroski ; Nikolić, Dalibor ; Kovačević, Vojin ; Filipović, Nenad | Conference Paper | Mp. category will be shown later |
| 2023 | Convolutional Neural Network for Atherosclerotic Plaque Multiclass Semantic Image Segmentation in Transverse Ultrasound Images of Carotid Artery | Dašić, Lazar ; Pavić, Ognjen ; Blagojevic, Andjela ; Geroski, Tijana ; Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2023 | Transfer Learning with Deep Convolutional Neural Networks for Respiratory Disease Classification in X-Ray Images | Dašić, Lazar ; Pavić, Ognjen ; Geroski, Tijana ; Milovanovic, Dragan ; Petrović, Marina; Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2023 | Prediction of Coronary Plaque Progression Using Data Mining and Artificial Neural Networks | Spahić, Lemana; Benolić, Leo; Qamar, Safi Ur Rehman ; Simic, Vladimir ; Milicevic, Bogdan ; Milosevic, Miljan ; Geroski, Tijana ; Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2023 | Effectiveness of a third dose of COVID-19 vaccines against delta variant of SARS-COV-2: A Serbian cohort study | Đorđević, Nataša ; Matić, Sanja ; Milovanović, Dragan ; Stefanović, Srđan ; Popović, Suzana ; Todorović, Danijela ; Đurđević, Predrag ; Sazdanović, Predrag ; Antić, Vasilije; Lončar, Slavica;
Bukumira, Slavica; Radenković, Marko; Šušteršič, Tijana
; Filipović, Nenad ; Baskić, Dejan ; | Article | 23M23 |
| 2023 | SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling | Geroski, Tijana ; Živković, Jelena; Christian Hellmich; Hans Van Oosterwyck; Jakovljević, Đorđe; Ivanović, Miloš ; Filipović, Nenad | Conference Paper | Mp. category will be shown later |
| 2023 | Machine learning in medical image processing – from medical images to automated diagnosis | Tijana Geroski ; Pavić, Ognjen ; Dašić, Lazar ; Petrović, Marina ; Milovanović, Dragan ; Filipović, Nenad | Conference Paper | Mp. category will be shown later |
| 2023 | An Unsupervised Image Segmentation Workflow for Extraction of Left Coronary Artery from X-ray Coronary Angiography | Lazar Dašić ; Ognjen Pavić ; Tijana Geroski ; Nenad Filipović | Conference Paper | Mp. category will be shown later |
| 2023 | Fractional Flow Reserve-Based Patient Risk Classification | Stanojević Pirković, Marijana ; Pavić, Ognjen ; Filipović, Filip; Saveljić, Igor ; Geroski, Tijana ; Exarchos, Themis; Filipović, Nenad | Article | 21M21 |