Evolutionary assembled neural networks for making medical decisions with minimal regret: Application for predicting advanced bladder cancer outcome. - Arso M. Vukicevic; Gordana R. Jovicic; Miroslav M. Stojadinovic; Rade I. Prelevic; Nenad D. Filipovic (Expert Syst. Appl., 2014)

Computer methods for follow-up study of hemodynamic and disease progression in the stented coronary artery by fusing IVUS and X-ray angiography. - Arso M. Vukicevic; Nemanja M. Stepanovic; Gordana R. Jovicic; Svetlana R. Apostolovic; Nenad D. Filipovic (Medical Biol. Eng. Comput., 2014)

Assessment of bone stress intensity factor using artificial neural networks. - Arso M. Vukicevic; Gordana R. Jovicic; Nebojsa Jovicic; Zarko Milosevic 002; Nenad Filipovic (BIBE, 2015)

Finite element analysis of uncommonly large renal arteriovenous malformation - Adjacent renal cyst complex. - Arso M. Vukicevic; Lazar U. Velicki; Gordana R. Jovicic; Nebojsa Jovicic; Miroslav M. Stojadinovic; Nenad D. Filipovic (Comput. Biol. Medicine, 2015)

Automated development of artificial neural networks for clinical purposes: Application for predicting the outcome of choledocholithiasis surgery. - Arso M. Vukicevic; Miroslav M. Stojadinovic; Milos D. Radovic; Milena Djordjevic; Bojana R. Andjelkovic Cirkovic; Tomislav Pejovic; Gordana R. Jovicic; Nenad Filipovic (Comput. Biol. Medicine, 2016)

Assessment of Machine Learning Algorithms for the Purpose of Primary Sjögren's Syndrome Grade Classification from Segmented Ultrasonography Images. - Arso M. Vukicevic; Alen Zabotti; Salvatore de Vita; Nenad Filipovic (FABULOUS, 2017)

Decision Support System for Dimensional Inspection of Extruded Rubber Profiles. - Arso M. Vukicevic; Marko Djapan; Petar Todorovic; Milan Eric; Miladin Stefanovic; Ivan Macuzic (IEEE Access, 2019)

dfemtoolz: An open-source C++ framework for efficient imposition of material and boundary conditions in finite element biomedical simulations. - Danko Z. Milasinovic; Arso M. Vukicevic; Nenad D. Filipovic (Comput. Phys. Commun., 2020)

Radiomics-Based Assessment of Primary Sjögren's Syndrome From Salivary Gland Ultrasonography Images. - Arso M. Vukicevic; Nenad Filipovic; Vera Milic; Alen Zabotti; Alojzija Hocevar; Orazio De Lucia; Georgios Filippou; Alejandro F. Frangi; Athanasios G. Tzioufas; Salvatore de Vita (IEEE J. Biomed. Health Informatics, 2020)

Scoring Primary Sjögren's syndrome affected salivary glands ultrasonography images by using deep learning algorithms. - Arso M. Vukicevic; Alen Zabotti; Vera Milic; Alojzija Hocevar; Orazio De Lucia; Georgios Filippou; Athanasios G. Tzioufas; Salvatore de Vita; Nenad Filipovic (BIBE, 2021)

Deep learning segmentation of Primary Sjögren's syndrome affected salivary glands from ultrasonography images. - Arso M. Vukicevic; Milos D. Radovic; Alen Zabotti; Vera Milic; Alojzija Hocevar; Sara Zandonella Callegher; Orazio De Lucia; Salvatore de Vita; Nenad Filipovic (Comput. Biol. Medicine, 2021)

Virtual ABI: A computationally derived ABI index for noninvasive assessment of femoro-popliteal bypass surgery outcome. - Danko Z. Milasinovic; Dragan B. Sekulic; Dalibor D. Nikolic; Arso M. Vukicevic; Aleksandar P. Tomic; Uros M. Miladinovic; Dragana S. Paunovic; Nenad D. Filipovic (Comput. Methods Programs Biomed., 2021)

Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors. - Arso M. Vukicevic; Ivan Macuzic; Nikola Mijailovic; Aleksandar Peulic; Milos D. Radovic (Expert Syst. Appl., 2021)

Development of Modular and Adaptive Laboratory Set-Up for Neuroergonomic and Human-Robot Interaction Research. - Marija Savkovic; Carlo Caiazzo; Marko Djapan; Arso M. Vukicevic; Milos Pusica; Ivan Macuzic (Frontiers Neurorobotics, 2022)

Experimental Analysis of Handcart Pushing and Pulling Safety in an Industrial Environment by Using IoT Force and EMG Sensors: Relationship with Operators' Psychological Status and Pain Syndromes. - Milos Petrovic; Arso M. Vukicevic; Marko Djapan; Aleksandar Peulic; Milos Jovicic; Nikola Mijailovic; Petar Milovanovic; Mirko Grajic; Marija Savkovic; Carlo Caiazzo; Velibor Isailovic; Ivan Macuzic; et al. (Sensors, 2022)

Deep Learning-Based Recognition of Unsafe Acts in Manufacturing Industry. - Arso M. Vukicevic; Milos Petrovic; Nikola Knezevic; Kosta Jovanovic (IEEE Access, 2023)

Software for optimized virtual stenting of patient-specific coronary arteries reconstructed from angiography images. - Tijana Djukic; Smiljana Tomasevic; Igor Saveljic; Arso M. Vukicevic; Goran Stankovic; Nenad Filipovic (Comput. Biol. Medicine, 2024)

A systematic review of computer vision-based personal protective equipment compliance in industry practice: advancements, challenges and future directions. - Arso M. Vukicevic; Milos Petrovic; Pavle D. Milosevic; Aleksandar Peulic; Kosta Jovanovic; Aleksandar Novakovic (Artif. Intell. Rev., 2024)