Contribution to MIC festival at Medical university of Vienna

Dr. Amirreza Mahbod, an AI researcher at the Research Center for Medical Image Analysis and Artificial Intelligence at DPU, presented his work (research together with Ass.-Prof. Dr Sepideh Hatamikia) on nuclei segmentation in H&E-stained histological images at the Medical Imaging Cluster (MIC) festival at the Medical University of Vienna on 15.06.2023.

Dr. Mahbod is a leading scientist in the field of artificial intelligence in medicine whose research has worldwide reputation (more than 1200 citations according to google scholar). The research presented at MIC festival is a collaboration between Medical University of Vienna, Danube Private University (Dr. Amirreza Mahbod and Ass.-Prof. Dr Sepideh Hatamikia), and Loughborough University, UK. In this research, a dual decoder deep-learning-based was proposed and developed to segment and classify nuclei. The obtained results from three publicly available datasets show the superior performance of the proposed algorithm compared to a number of state-of-the-art algorithms.

Talking about his research project, Dr. Amirreza Mahbod stated: “The entire project was in the frame of an FFG-funded project where we had an industrial partner, TissueGnostics GmbH. The proposed algorithm is already integrated into the StrataQuest software (advanced image analysis software of TissueGnostics) and is currently used worldwide by companies' customers (mainly biologists and researchers).”

First rank was achieved in the MoNuSAC post-challenge leaderboard with the proposed algorithm: https://lnkd.in/dS37xypN

Link to the MIC festival: https://www.meduniwien.ac.at/web/ueber-uns/events/2023/mic-festival-2023/

Link to the study: https://www.frontiersin.org/articles/10.3389/fmed.2022.978146/full

MIC 2023 poster.pdf

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Dr. Amirreza Mahbod

Ass.-Prof. Dr Sepideh Hatamikia