ROAM: Random layer mixup for semi-supervised learning in medical images
IET Image Processing, 2022

Alumni
PhD (TU Munich, 2023)
Now: Faculty member, School of Computing Sciences, Princess Sumaya University for Technology, Amman
PhD thesis (2023): Annotation-Efficient Medical Imaging with Deep Learning, TU Munich · all supervised theses
Tariq Bdair is a Software Architect & Technical Leader. He possesses vast experience in software development in the industry for more than 8 years. He has developed a large number of applications using different programming languages using state-of-art technologies, software engineering methodologies, and software-development-life-cycle (SDLC). Since 2018 he is pursuing his Ph.D. at the Chair for Computer Aided Medical Procedures (CAMP), Technical University of Munich (TUM), Germany, under the supervision of Prof. Nassir Navab and Dr. Shadi Albarqouni. His research interest includes Semi-Supervised Learning, Medical Images Segmentation, and Federated Learning.
IET Image Processing, 2022
Machine Learning for Biomedical Imaging, 2022
arXiv (Cornell University), 2022
Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), LNCS 12903, 2021