August 24, 2025
Congratulations! Maya Fichman Levital and Samah Khawaled’s paper - Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment has been selected as the Editor’s Choice in the June 2025 issue of Medical & Biological Engineering & Computing.
July 30, 2025
Congratulations to Naama Gavrielov, Adi Zehavi Lenz and Hadas Ben Atya who their abstracts got accepted to RSNA 2025!
July 29, 2025
Congratulations to Maya Gilad for the acceptance and publication of her paper in Radiology: Imaging Cancer: Radiomics-based Machine Learning Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Physiologically Decomposed Diffusion-weighted MRI, in collaboration with Prof. Rebecca Rakow-Penner, Prof. Mami Lima and Prof. Savannah C. Partridge.
July 29, 2025
Congratulations to Naama Gavrielov for the acceptance of her abstract entitled: Physically-Informed Deep Learning for Robust IVIM Quantification in Placental Diffusion MRI: Detecting Functional Alterations in Maternal Diabetes as an oral presentation to ESMRMB2 2025, in collaboration with Prof. Rinat Gabbay-BenZiv, Dr. Moran Gawie-Rotman, Dr. Abdel-Rauf Zeina, Roni Shreter, and Esther Maor-Sagie from Hillel-Yaffe Medical Center.
June 18, 2025
Congratulations to Rotem Benisty whose paper SIMPLE: Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic Data was accepted to MICCAI 2025, the 28th International conference on medical image computing and computer assisted intervention: ArXiv Link.
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
