Researchers
Blagojević, Anđela
Results 21-36 of 36
| Issue Date | Title | Author(s) | Type | Мp-cat. |
|---|---|---|---|---|
| 2022 | Analysis of Covid-19 Disease Using Machine Learning - Personalized Model![]() | Blagojevic, Andjela | Conference Paper | Mp. category will be shown later |
| 2022 | Simulation of Atherosclerotic Plaque Development using Agent-based Modelling![]() | Blagojevic, Andjela | Conference Paper | Mp. category will be shown later |
| 2022 | Modeling of Plaque Progression in the Carotid Artery Using Coupled Agent Based with Finite Element Method![]() | Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2022 | Agent Based and Finite Element Method for Plaque Development in the Carotid Artery![]() | Filipovic, Nenad | Conference Paper | Mp. category will be shown later |
| 2021 | Automatic Detection of Cardiomyopathy in Cardiac Left Ventricle Ultrasound Images![]() | Šušteršič, Tijana I. | Conference Paper | Mp. category will be shown later |
| 2021 | Estimation of covid-19 epidemiology curve of the united states using genetic programming algorithm![]() | Anđelić, Nikola; Šegota, Sandi Baressi; Lorencin, Ivan; Jurilj, Zdravko; Šušteršič, Tijana | Article | 21M21 |
| 2021 | Ultra sound image processing and 3D reconstruction of heart in patients with cardiomyopathy | Sustersic, Tijana | Conference Paper | Mp. category will be shown later |
| 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 | Epidemiological forecasting of COVID-19 infection using deep learning approach | Blagojević A. | Conference Paper | Mp. category will be shown later |
| 2021 | Automatic evaluation of the lung condition of COVID-19 patients using X-ray images and convolutional neural networks![]() | Lorencin I.; Šegota S.; Anðelic N.; Blagojević A. | 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 |
| 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 |
| 2021 | Epidemiological Predictive Modeling of COVID-19 Infection: Development, Testing, and Implementation on the Population of the Benelux Union | Sustersic, Tijana | Article | 21aM21a |
| 2021 | Combined machine learning and finite element simulation approach towards personalized model for prognosis of COVID-19 disease development in patients | Blagojevic, Andjela | Article | Mp. category will be shown later |
| 2021 | Development of machine learning tool for segmentation and parameter extraction in cardiac left ventricle ultrasound images of patients with cardiomyopathy![]() | Sustersic, Tijana | Conference Paper | Mp. category will be shown later |
| 2020 | Automatic segmentation of lungs with pneumonia in X-ray images of patients with COVID-19 | Blagojević, Anđela S. | Conference Paper | Mp. category will be shown later |
