Fall of 2022: : A new Human MRI Research Center opened at the main Technion campus (Neve-Shaanan).
The center will offer a unique research-dedicated 3T Siemens Prisma MRI system with novel capabilities, providing increased access to high-speed structural and functional imaging used to conduct multiple research projects in our lab.
Jan 30, 2023: Congratulations! TCML members,Maya Levital and Samah Khawaled,
had their paper Uncertainty assessment in Whole-Body Low Dose PET Reconstruction using Non-parametric Bayesian Deep Learning Approach
accepted to the IEEE ISBI 2023 conference Cartagena deIndias, Colombia to be held April 18-21.
Dec 26, 2022: Congratulations! The TCML lab was awarded 2nd place from the Investment for Data-Driven Research fund sponsored byMicrosoft Azure and the IUCC
to use cloud resources for data-based research.
Nov 23, 2022: Congratulations! TCML member,Yael Zaffrani Reznikov,
was awarded the Student research prize for Cross-PI Collaboration in Data Science for her work in Motion-compensated quantitative Diffusion-Weighted MRI in collaboration with Dr. Simon Warfield of Harvard Medical School.
Nov 5, 2022: Congratulations! Dr. Moti Freiman
received recognition for Excellence in Teaching for his course Medical Image Processing, spring semester 2021-2022.
Nov 2, 2022: Congratulations! Itai Guez had his paper
Development of a multimodal machine-learning fusion model to non-invasively assess ileal Crohn’s disease endoscopic activity
accepted to the Journal of Computer Methods and Programs in Biomedicine (I.F. 7.027).
Oct 31, 2022: Congratulations! TCML member,Yael Zaffrani Reznikov,
had her paper, "DWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment"
awarded Best Paper Runner Up at the Medical computer vision workshop ECCV 2022 in Tel Aviv, Israel.
Sept 5, 2022: Congratulations! TCML members,Yael Zaffrani Reznikov and Daniel Shats,
had their papers, "DWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment" and
"Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings",
accepted to the Medical computer vision workshop at the upcoming ECCV 2022 in Tel Aviv, Israel.
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data
accepted to the Machine Learning for Medical Image Reconstruction (MLMIR) Workshop at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI),
to be held Sept 18-22 in Singapore.
June 1, 2022: Congratulations! Samah Khawaled had her paper
NPBDREG: Uncertainty Assessment in Diffeomorphic Brain MRI Registration using a Non-parametric Bayesian Deep-Learning Based Approach
accepted to the Journal of Computerized Medical Imaging and Graphics.
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.