January 05, 2025
Zvi Badash’s abstract Harnessing Natural Language Processing For Structured Information Extraction From Radiology Report in Crohn’s Disease: A Nationwide Study From the epi-IIRN was accepted to ECCO-IBD conference. In partnership with prof. Dan Turner and Gili Focht from Shaare Zedek
January 05, 2025
Noga Kertes and Yael Zaafrani’s paper, titled 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 Medical Image Analysis. This work was conducted in collaboration with Prof. Simon K. Warfield and Dr. Onur Afacan (Boston Children’s Hospital/Harvard Medical School) and was sponsored by a BSF grant.
November 17, 2024
Congratulations! Our student Adi Zehavi Lenz has won the VATAT Scholarship Program For Master Students in Data Science and Artificial Intelligence.
November 14, 2024
Congratulations to Hadar Hezi for publishing CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H&E stained images to the journal Computer Methods and Programs in Biomedicine. Link to the paper:
October 28, 2024
Congratulations to Noga Kertes and Eyal Hanania! Graduate students in our lab who have won the PBC (VATAT) student research prize for Cross-PI Collaboration in Data Science for 2023 - 2024
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
