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Machine Vision Group

Department of Automatics and Robotics – Computer Vision Lab
Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering
AGH University of Science and Technology

The Machine Vision Research Group (MVG Group) focuses on interdisciplinary research problems from the field of machine vision and medicine. The problems are solved using methods of digital image processing and analysis, machine learning and deep learning.


Joanna Jaworek-Korjakowska,
Associate professor
(dr hab. inż., prof. Uczelni)
Paweł Kłeczek, PhD Anna Wójcicka, PhD
Dariusz Kucharski, MSc
PhD student
Andrzej Brodzicki, MSc
PhD student
Michał Piekarski, MSc
PhD student
Aleksander Kostuch, MSc
PhD student
Maciej Aleksandrowicz, MSc
PhD student
Filip Noworolnik, MSc
PhD student



[2023-04-28] PP-RAI 2023

On begging of this week (24-26 April) Andrzej, Michał, Maciej and Aleksander participated in the 4th PP-RAI 2023 (Polish Conference on Artificial Intelligence) in Lodz, where they presented a poster entitled “Transformers neural networks applications in different computer vision tasks” (authors: Andrzej Brodzicki, Michał Piekarski, Aleksander Kostuch, Filip Noworolnik, Maciej Aleksandrowicz, Anna Wójcicka, Joanna Jaworek-Korjakowska). They listened to many interesting talks and viewed dozens of inspiring posters. They also took part in networking activities: a tour of Lodz, a reception and a gala dinner.

Read it on Computer Vision Laboratory social media: LinkedIn, Facebook

[2022-12-31] Prestigious Conferences in 2022

Last year, members of our team attended three well-ranked conferences. In September, Joanna, Dariusz and Andrzej took part in MICCAI 2022 in Singapore, where they participated in Diabetic Foot Ulcer Challenge. In October, Anna represented our team during ECCV 2022 in Tel Aviv, where she presented our own dataset that can be used for artefact removal. Finally, in December Michał took part in another conference in Singapore - ICARCV 2022.

[2022-01-04] Scholarship at Stanford University for Joanna Jaworek-Korjakowska

Another great success in our team! Dr hab. inż. Joanna Jaworek-Korjakowska recieved a scholarship in the IV Edition of a Bekker Programme run by NAWA (Polish National Agency for Academic Exchange). She will be doing a three-month long research project in one of the most prestigious institutions in the wold - Stanford University, USA. You can read more about the Bekker Programme here

[2022-01-02] New Publication in Medical Image Analysis Journal

Our latest article: Analysis of the ISIC image datasets: usage, benchmarks and recommendations has been accepted by Medical Image Analysis Journal, which is one of the most influential publishers in the field (IF 8.545). This work was a result of a partnership between Joanna Jaworek-Korjakowska and Andrzej Brodzicki with researchers from Manchester Metropolitan University (Bill Cassidy, Connah Kendrick and Moi Hoon Yap). We hope it is just the beggining of a great colaboration between our two institutions. You can check the full paper in the following link

[2021-10-30] Grant NCBiR we współpracy z firmą Onwelo

Our team participates in an industry research project funded by NCBiR (The National Centre for Research and Development) - “X-rAI: Przeglądarka diagnostyczna dla radiologii z komputerowym wspomaganiem wykorzystującym Sztuczną Inteligencję (Diagnostic viewer for radiology with computer-assistance using Artificial Intelligence)” - POIR.01.01.01-00-1666/20 (PI: Prof. dr hab. inż. Z. Tabor, dr hab. A. Krzyżak, Co-I: dr hab. inż. J. Jaworek-Korjakowska). The aim of the project is to develop a deep learning browser to assist the radiologist in the diagnosis of lung and liver cancer. The project will analyze images from computed tomography and magnetic resonance imaging. New 3D Multi-view CNN architectures will be proposed and tested.

start.txt · Last modified: 2023/05/17 10:58 by abrodzicki