Pronađeno: 1-4 / 4 radova

Autori: Andjelic Nikola

>> Filter: Samo Article i Review

>> Sve godine

Naslov Diagnostic value of the apparent diffusion coefficient in differentiating malignant from benign endometrial lesions (Article)
Autori Scepanovic Bojana Andjelic Nikola  Mladenovic-Segedi Ljiljana Kozic Dusko B Vuleta Dusan P  Molnar Una J Nikolic Olivera R 
Info FRONTIERS IN ONCOLOGY, (2023), vol. 13 br. , str. -
Ispravka Web of Science   Članak   Elečas   Rang časopisa  
facebook sharing button
twitter sharing button
linkedin sharing button
gmail sharing button
copy sharing button
Naslov Demographic and Clinical Factors Associated with Reactivity of Anti-SARS-CoV-2 Antibodies in Serbian Convalescent Plasma Donors (Article)
Autori 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  
Info INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, (2022), vol. 19 br. 1, str. -
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
facebook sharing button
twitter sharing button
linkedin sharing button
gmail sharing button
copy sharing button
Naslov Artificial intelligence approach towards assessment of condition of COVID-19 patients-Identification of predictive biomarkers associated with severity of clinical condition and disease progression (Article)
Autori 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 
Info COMPUTERS IN BIOLOGY AND MEDICINE, (2021), vol. 138 br. , str. -
Projekat Serbian Ministry of Education, Science, and Technological Development (Faculty of Engineering, University of Kragujevac) [451-03-68/2020-14/200107]; CEI project "Use of Regressive Artificial Intelligence (AI) and Machine Learning (ML) Methods in Modelling
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
facebook sharing button
twitter sharing button
linkedin sharing button
gmail sharing button
copy sharing button
Naslov Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review (Review)
Autori Musulin Jelena Baressi Segota Sandi Stifanic Daniel Lorencin Ivan Andjelic Nikola Sustersic Tijana  Blagojevic Andjela Filipovic Nenad D  Cabov Tomislav Markova-Car Elitza 
Info INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, (2021), vol. 18 br. 8, str. -
Projekat CEEPUS network [CIII-HR0108]; European Regional Development FundEuropean Commission [KK.01.1.1.01.0009]; University of Rijeka [uniri-tehnic-18-275-1447, uniri-biomed-18-257]; project CEKOM [KK.01.2.2.03.0004]; CEI project "COVIDAi" [305.6019-20]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
facebook sharing button
twitter sharing button
linkedin sharing button
gmail sharing button
copy sharing button
>> Sve godine

Ispis zapisa u formatu:TXT | BibTeX