September 08, 2025
Congratulations! Samah Khawaled was awarded a Planning and Budgeting Committee (PBC) scholarship for outstanding postdoctoral students from diverse populations, supporting her postdoctoral research in Prof. Sabuncu’s lab at Cornell University.
September 08, 2025
Congratulations! Samah Khawaled’s paper A Self-Attention Model for Robust Rigid Slice-to-Volume Registration of Functional MRI (ArXiv link) was accepted to the Computerized Medical Imaging and Graphics Journal! This work was done as part of a joint project with Prof. S.K Warfield from Boston Children’s Hospital and Harvard Medical School sponsored by a BSF Rahamimoff Travel award.
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.
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
