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ORCIDArso M. Vukicevic
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Journal Articles
- 2024
[j14]Arso M. Vukicevic, Milos Petrovic, Pavle Milosevic, Aleksandar Peulic, Kosta Jovanovic, Aleksandar Novakovic:
A systematic review of computer vision-based personal protective equipment compliance in industry practice: advancements, challenges and future directions. Artif. Intell. Rev. 57(12): 319 (2024)- 2023
- [j13]Arso M. Vukicevic
, Milos Petrovic, Nikola Knezevic, Kosta Jovanovic:
Deep Learning-Based Recognition of Unsafe Acts in Manufacturing Industry. IEEE Access 11: 103406-103418 (2023) - 2022
- [j12]Marija Savkovic, Carlo Caiazzo, Marko Djapan, Arso M. Vukicevic, Milos Pusica, Ivan Macuzic:
Development of Modular and Adaptive Laboratory Set-Up for Neuroergonomic and Human-Robot Interaction Research. Frontiers Neurorobotics 16: 863637 (2022) - [j11]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, Kosta Jovanovic:
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. Sensors 22(19): 7467 (2022) - 2021
- [j10]Arso M. Vukicevic, Milos D. Radovic, Alen Zabotti, Vera Milic, Alojzija Hocevar, Sara Zandonella Callegher, Orazio De Lucia, Salvatore de Vita, Nenad Filipovic:
Deep learning segmentation of Primary Sjögren's syndrome affected salivary glands from ultrasonography images. Comput. Biol. Medicine 129: 104154 (2021) - [j9]Danko Z. Milasinovic, Dragan B. Sekulic, Dalibor D. Nikolic, Arso M. Vukicevic, Aleksandar P. Tomic, Uros M. Miladinovic, Dragana S. Paunovic, Nenad D. Filipovic:
Virtual ABI: A computationally derived ABI index for noninvasive assessment of femoro-popliteal bypass surgery outcome. Comput. Methods Programs Biomed. 208: 106242 (2021) - [j8]Arso M. Vukicevic, Ivan Macuzic, Nikola Mijailovic, Aleksandar Peulic, Milos D. Radovic:
Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors. Expert Syst. Appl. 183: 115371 (2021) - 2020
- [j7]Danko Z. Milasinovic, Arso M. Vukicevic, Nenad D. Filipovic:
dfemtoolz: An open-source C++ framework for efficient imposition of material and boundary conditions in finite element biomedical simulations. Comput. Phys. Commun. 249: 106996 (2020) - [j6]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:
Radiomics-Based Assessment of Primary Sjögren's Syndrome From Salivary Gland Ultrasonography Images. IEEE J. Biomed. Health Informatics 24(3): 835-843 (2020) - 2019
- [j5]Arso M. Vukicevic, Marko Djapan, Petar Todorovic, Milan Eric, Miladin Stefanovic, Ivan Macuzic:
Decision Support System for Dimensional Inspection of Extruded Rubber Profiles. IEEE Access 7: 112605-112616 (2019) - 2016
- [j4]Arso M. Vukicevic, Miroslav M. Stojadinovic, Milos D. Radovic, Milena Djordjevic, Bojana R. Andjelkovic Cirkovic, Tomislav Pejovic, Gordana R. Jovicic, Nenad Filipovic:
Automated development of artificial neural networks for clinical purposes: Application for predicting the outcome of choledocholithiasis surgery. Comput. Biol. Medicine 75: 80-89 (2016) - 2015
- [j3]Arso M. Vukicevic, Lazar U. Velicki, Gordana R. Jovicic, Nebojsa Jovicic, Miroslav M. Stojadinovic, Nenad D. Filipovic:
Finite element analysis of uncommonly large renal arteriovenous malformation - Adjacent renal cyst complex. Comput. Biol. Medicine 59: 35-41 (2015) - 2014
- [j2]Arso M. Vukicevic, Gordana R. Jovicic, Miroslav M. Stojadinovic, Rade I. Prelevic, Nenad D. Filipovic:
Evolutionary assembled neural networks for making medical decisions with minimal regret: Application for predicting advanced bladder cancer outcome. Expert Syst. Appl. 41(18): 8092-8100 (2014) - [j1]Arso M. Vukicevic, Nemanja M. Stepanovic, Gordana R. Jovicic, Svetlana R. Apostolovic, Nenad D. Filipovic:
Computer methods for follow-up study of hemodynamic and disease progression in the stented coronary artery by fusing IVUS and X-ray angiography. Medical Biol. Eng. Comput. 52(6): 539-556 (2014)
Conference and Workshop Papers
- 2021
- [c3]Arso M. Vukicevic, Alen Zabotti, Vera Milic, Alojzija Hocevar, Orazio De Lucia, Georgios Filippou, Athanasios G. Tzioufas, Salvatore de Vita, Nenad Filipovic:
Scoring Primary Sjögren's syndrome affected salivary glands ultrasonography images by using deep learning algorithms. BIBE 2021: 1-4 - 2017
- [c2]Arso M. Vukicevic, Alen Zabotti, Salvatore de Vita, Nenad Filipovic:
Assessment of Machine Learning Algorithms for the Purpose of Primary Sjögren's Syndrome Grade Classification from Segmented Ultrasonography Images. FABULOUS 2017: 239-245 - 2015
- [c1]Arso M. Vukicevic, Gordana R. Jovicic, Nebojsa Jovicic, Zarko Milosevic, Nenad Filipovic:
Assessment of bone stress intensity factor using artificial neural networks. BIBE 2015: 1-4
Coauthor Index
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