@ARTICLE{
author={Andjelic Nikola,Weber Marc-Andre,Zimpfer Annette,Sass Marko},
year={2025},
title={Diagnosis and interdisciplinary treatment of non-cutaneous syncytial myoepithelioma},
journal={ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN},
volume={},
number={},
pages={-},
document_type={Editorial Material; Early Access},
} 

@ARTICLE{
author={Scepanovic Bojana,Andjelic Nikola,Mladenovic-Segedi Ljiljana,Kozic Dusko B,Vuleta Dusan P,Molnar Una J,Nikolic Olivera R},
year={2023},
title={Diagnostic value of the apparent diffusion coefficient in differentiating malignant from benign endometrial lesions},
journal={FRONTIERS IN ONCOLOGY},
volume={13},
number={},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Grujic Jasmina,Bujandric Nevenka,Budakov-Obradovic Zorana,Dolinaj Vladimir,Bogdan Damir,Savic Nebojsa B,Cabezas-Cruz Alejandro,Mijatovic Dragana,Simin Verica D,Andjelic Nikola,Banovic Pavle Z},
year={2022},
title={Demographic and Clinical Factors Associated with Reactivity of Anti-SARS-CoV-2 Antibodies in Serbian Convalescent Plasma Donors},
journal={INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH},
volume={19},
number={1},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Blagojevic Andjela,Sustersic Tijana,Lorencin Ivan,Baressi-Segota Sandi,Andjelic Nikola,Milovanovic Dragan R,Baskic Danijela,Baskic Dejan D,Zdravkovic-Petrovic Natasa D,Sazdanovic Predrag S,Car Zlatan,Blagojevic Andjela},
year={2021},
title={Artificial intelligence approach towards assessment of condition of COVID-19 patients-Identification of predictive biomarkers associated with severity of clinical condition and disease progression},
journal={COMPUTERS IN BIOLOGY AND MEDICINE},
volume={138},
number={},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Musulin Jelena,Baressi Segota Sandi,Stifanic Daniel,Lorencin Ivan,Andjelic Nikola,Sustersic Tijana,Blagojevic Andjela,Filipovic Nenad D,Cabov Tomislav,Markova-Car Elitza},
year={2021},
title={Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review},
journal={INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH},
volume={18},
number={8},
pages={-},
document_type={Review},
}