March 25, 2026
Congratulations to Zvi Badash on his publication: Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scores
March 21, 2026
Congratulations to Ido Beigelman on the acceptance of his paper to CVPR 2026 workshop on How Do Vision Models Work: LogitDynamics: Reliable ViT Error Detection from Layerwise Logit Trajectories
February 17, 2026
Congratulations to Hadas Ben-Atya and Nicole Abramenkov for the acceptance of their paper Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI to MIDL 2026. This work was in collaboration with Prof. Ram Weiss from the Rambam Health Care Campus.
December 30, 2025
Congratulations to Sharon Peled for the acceptance of his paper Multi-cancer framework with cancer-aware attention and adversarial mutual-information minimization for whole slide image classification on the journal Medical Image Analysis!
November 11, 2025
Congratulations to Sharon Peled for the acceptance of his paper “PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification” at WACV 2026! ArXiv Link Github
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
