February 11, 2024
Congratulations! Shir Nitzan’s paper Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data was accepted to IEEE ISBI 2024
February 06, 2024
Congratulations! Our paper NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation* has been accepted to Artificial Intelligence In Medicine
February 06, 2024
Congratulations! Samah Khawaled received the Eric and Wendy Schmidt Postdoctoral Award for Women in Mathematical and Computing Sciences
January 29, 2024
Congratulations to Noga Kertes, Eyal Hanania, Luise Brock, and Hadas Ben Atya for the acceptance of their abstracts to ISMRM 2024
December 19, 2023
Congratulations! Noga Kertes’s abstract IVIM-Morph: Motion-Compensated Quantitative Intra-Voxel Incoherent Motion (IVIM) Analysis for Functional Fetal Lung Maturity Assessment from Diffusion-Weighted MRI Data was accepted to the ISMRM Workshop on Moving Forward with Intravoxel Incoherent Motion Modeling for Diffusion-Weighted MRI: An Attempt at Consensus.
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
