July 16, 2026
Congratulations! We are honored to receive a Gray Foundation Science grant to advance AI-powered MRI for the early detection of ovarian cancer. The work brings together the Technion, University of Pennsylvania, and University of Chicago, with parts carried out at the Technion’s May-Blum-Dahl Human MRI Research Center and the Technion Computational MRI Lab.
July 15, 2026
Congratulations to Tomer Peretz on receiving the PBC/VATAT Award for Outstanding Students in Data Science for his work on motion-robust MRF. This project is conducted in collaboration with Dr. Ouri Cohen from the Memorial Sloan Kettering Cancer Center.
July 15, 2026
Congratulations to Nitzan Avidan-Pearl on her new paper, accepted to the journal Medical & Biological Engineering & Computing. The paper shows how neural networks can improve the repeatability of pancreatic IVIM MRI analysis. The work was conducted at the Technion Faculty of Biomedical Engineering and the May-Blum-Dahl Human MRI Research Center, in collaboration with Dr. Daphna Link-Sourani and Prof. Ram Weiss
May 11, 2026
Congratulations! We won the Kamin (Israel Innovation Authority) grant for our research on Improving image quality in clinical MRI using generative artificial intelligence and self-supervised learning. The work is in collaboration with Dr. Daphna Link-Sourani of the May-Blum-Dahl Technion Human MRI Research Center
May 11, 2026
Congratulations to Noga Kertes for winning second place in the PhD category of the Faculty Research Day for her presentation GraphSVR: A Motion-Robust Graph-Based Framework for Brain Microstructure Imaging with Diffusion MRI
Welcome to the
Technion Computational MRI Lab
We are improving patient care through better characterization of the underlying physiological and structural factors in human diseases by developing novel deep-learning-based methods for MRI acquisition and analysis.
Imaging Technologies
Algorithmic Technologies
