Shadi Albarqouni

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Technische Universität München

Shadi Albarqouni is Senior Research Scientist at Chair for Computer Aided Medical Procedures (CAMP) at Technical University of Munich (TUM), Germany. He received his Ph.D. in Computer Science with summa cum laude in 2017. Since then, he has been working as a postdoctoral researcher at CAMP leading the Medical Image Analysis group with an emphasis on developing deep learning methods for medical applications. Albarqouni has more than 40 publications in both Medical Imaging Computing and Computer-Assisted Interventions published in IEEE TMI, MICCAI, IPCAI, IJCARS, BMVC, and ICRA. He serves as a reviewer for many journal IEEE TMI, IEEE JBHI, IJCARS and Pattern Recognition. Since 2015, he has been serving as a PC member for a couple of MICCAI workshops. Recently, he serves as an Area Chair at MICCAI 2019. His current research interests include Interpretable ML, Robustness, Uncertainty, Geometric Deep Models, and recently Federated Learning. He is also interested in Entrepreneurship and Startups for Innovative Medical Solutions. His goal is to help everyone in the world to get better healthcare services with the assistance of Informatics and computer science.

 

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