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Преглед према Аутор Geroski, Tijana
Приказ резултата 1 до 20 од 135
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| Година | Наслов | Аутор(и) | Тип резултата | Мп-кат. |
|---|---|---|---|---|
| 2023 | 3D Printing Technology in Cranioplasty: Case Study![]() | Tijana Geroski | Konferencijski rad | Mp kategorija će biti prikazana naknadno. |
| 2020 | A comparison of classifiers in biomedical signal processing as a decision support system in disc hernia diagnosis | Šušteršič, Tijana | Naučni članak | 21aM21a - Vodeći međunarodni časopis kategorije M21a |
| 2022 | A Deep Learning Model for Automatic Detection and Classification of Disc Herniation in Magnetic Resonance Images![]() | Šušteršič, Tijana | Naučni članak | 21aM21a - Vodeći međunarodni časopis kategorije M21a |
| 2023 | A Fully Automated Approach to Preprocessing and Segmentation of Coronary Arteries in X-ray Angiography Images![]() | Pavić, Ognjen | Conference Paper | Mp. category will be shown later |
| 2020 | A Noninvasive Assistant System in Diagnosis of Lumbar Disc Herniation | Peulić, Miodrag | Article | 22M22 |
| 2022 | Agent-Based Model and Simulation Of Atherosclerotic Plaque Progression![]() | Blagojevic, Andjela | Conference Paper | Mp. category will be shown later |
| 2020 | An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure Based on Bayes Theorem | Sustersić, Tijana | Article | 21a+M21a+ |
| 2021 | An early stage researcher's primer on systems medicine terminology. Network and systems medicine | Zanin M.; Aitya N. A.; Basilio J.; Baumbach J.; Benis A.; Behera C. K.; Sustersic, Tijana | Article | Mp. category will be shown later |
| 2021 | An In-Silico Corrosion Model for Biomedical Applications for Coupling With In-Vitro Biocompatibility Tests for Estimation of Long-Term Effects![]() | Sustersic, Tijana | Article | 21aM21a |
| 2023 | An Unsupervised Image Segmentation Workflow for Extraction of Left Coronary Artery from X-ray Coronary Angiography![]() | Lazar Dašić | Conference Paper | Mp. category will be shown later |
| 2022 | Analysis of Covid-19 Disease Using Machine Learning - Personalized Model![]() | Blagojevic, Andjela | Conference Paper | Mp. category will be shown later |
| 2015 | Application of active contours method in assessment of optimal approach trajectory to brain tumor![]() | Šušteršič, Tijana | Conference Paper | Mp. category will be shown later |
| 2022 | Application of Artificial Intelligence Algorithms In Biomedical Image Processing | Sustersic, Tijana | Conference Paper | Mp. category will be shown later |
| 2022 | Application of Artificial Intelligence in Medicine: From Data to Personalised Models![]() | Sustersic, Tijana | Conference Paper | Mp. category will be shown later |
| 2021 | Application of artificial intelligence-based regression methods in the problem of covid-19 spread prediction: A systematic review | Musulin J.; Šegota S.; Štifanić D.; Lorencin I.; Anđelić, Nikola; Sustersic, Tijana | Reviews | 21M21 |
| 2023 | Application of Ensemble Machine Learning for Classification Problems on Very Small Datasets![]() | Ognjen Pavić | Conference Paper | Mp. category will be shown later |
| 2023 | Application of Machine Learning Algorithms in Medical Data Processing![]() | Geroski, Tijana | Conference Paper | Mp. category will be shown later |
| 2022 | Artificial intelligence approach toward analysis of COVID-19 development—Personalized and epidemiological model![]() | Sustersic, Tijana | Book parts | 13 MNO za elektrotehniku, telekomunikacije i informacione tehnologije (10.11.2022.)M13 |
| 2021 | Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression![]() | Blagojević Anđela | Article | 21aM21a |
| 2021 | Automated Pipeline for Continual Data Gathering and Retraining of the Machine Learning-Based COVID-19 Spread Models![]() | Baressi Šegota, Sandi; Lorencin, Ivan; Andjelic, Nikola; Štifanić, Daniel; Musulin, Jelena; Vlahinic S.; Sustersic, Tijana | Article | Mp. category will be shown later |

