Researchers
Geroski, Tijana
Results 61-80 of 162
| Issue Date | Title | Author(s) | Type | Мp-cat. |
|---|---|---|---|---|
| 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 | 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 | Convolutional Neural Network for Atherosclerotic Plaque Multiclass Image Segmentation in Transverse Ultrasound Images of Carotid Artery | Lazar Dašić ; Ognjen Pavić ; Anđela Blagojević ; Tijana Geroski ; Nenad Filipović | Conference Paper | Mp. category will be shown later |
| 2023 | Application of Machine Learning Algorithms in Medical Data Processing | Geroski, Tijana ; Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2023 | RISK CLASSIFICATION FOR SUDDEN CARDIAC DEATH IN PATIENTS WITH HYPERTROPHIC CARDIOMYOPATHY BASED ON MACHINE LEARNING ALGORITHMS | Pavić, Ognjen ; Dašić, Lazar ; Geroski, Tijana ; Vasković Jovanović, Mina ; Filipović, Nenad | Article | 22M22 |
| 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 | The Importance of Genetic and Clinical Data features in Risk Stratification of Patients with Hypertrophic Cardiomyopathy | Ognjen Pavić ; Lazar Dašić ; Tijana Geroski ; Anđela Blagojević ; Nenad Filipović | 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 for multiscale modeling: Bridging the gap between education and research | Geroski, Tijana ; Gkaintes, Orestis; Vulović, Aleksandra ; Ukaj, Niketa; Barrasa Fano, Jorge; Perez-Boerema, Fernando; Milicevic, Bogdan ; Atanasijevic A.; Živković, Jelena; Živić, Andreja ;
Roumpi, Maria; Exarchos, Themis; Christian, Hellmich; Scheiner, Stefan; Van Oosterwyck, Hans; Jakovljevic, Professor Djordje; Ivanović, Miloš
; Filipovic, Nenad ; | Article | 21aM21a |
| 2023 | Nerve regeneration from an in silico perspective – current and future approaches | Nikolić, Milica ; Vulović, Radun ; Geroski, Tijana ; Rasulić, Lukas; Filipović, Nenad | Other | Mp. category will be shown later |
| 2023 | Implementation of Artificial Intelligence Algorithms in Biomedical Signals Processing as Support for Decision-Making in Spinal Diseases Diagnosis | Tijana Geroski ; Kovačević, Vojin ; Rasulić, Lukas ; Ranković, Vesna ; Filipović, Nenad | Conference Paper | Mp. category will be shown later |
| 2022 | SILICOFCM platform, multiscale modeling of left ventricle from echocardiographic images and drug influence for cardiomyopathy disease | Filipovic, Nenad ; Sustersic, Tijana ; Milosevic, Miljan ; Milicevic, Bogdan ; Simic, Vladimir ; Prodanovic, Momcilo ; Mijailovic, Srboljub; Kojic, Milos | Article | 21aM21a |
| 2022 | Application of Artificial Intelligence in Medicine: From Data to Personalised Models | Sustersic, Tijana ; Blagojevic, Andjela ; Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2022 | Analysis of Covid-19 Disease Using Machine Learning - Personalized Model | Blagojevic, Andjela ; Sustersic, Tijana ; Lorencin, Ivan; Baressi Šegota, Sandi; Andjelic, Nikola; Milovanovic, Dragan ; Baskic, Dejan ; Car, Zlatan; Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2022 | Shear Stress Classification for The Finite Element Analysis of Hip Implant Surface Topographies | Vulović, Aleksandra ; Sustersic, Tijana ; Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2022 | Machine learning based prediction of layer-by-layer coating thickness | Sustersic, Tijana ; Gribova, Varvara; Nikolic, Milica ; Lavale, Philip; Vrana, Nihal Engin | Conference Paper | Mp. category will be shown later |
| 2022 | Carotid Artery Segmentation Using Convolutional Neural Network in Ultrasound Images | Radovanovic, Nikola ; Dašić, Lazar ; Blagojevic, Andjela ; Sustersic, Tijana ; Filipovic, Nenad | Article | 23M23 |
| 2022 | Segmentation and Classification of Disc Hernia in Magnetic Resonance Images using Deep Learning | Sustersic, Tijana ; Rankovic, Vesna ; Kovacevic, Vojin ; Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2022 | Coupled Machine Learning and Finite Element Analysis of Heart Left Ventricle in Patients with Cardiomyopathy | Sustersic, Tijana ; Blagojevic, Andjela ; Milicevic, Bogdan ; Milosevic, Miljan ; Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2022 | Comparative Analysis of Patch-based and Full Image Methodology of Carotid Artery Plaque Semantic Segmentation in Ultrasound images | Dašić, Lazar ; Blagojevic, Andjela ; Sustersic, Tijana ; Filipovic, Nenad | Conference Paper | Mp. category will be shown later |