October 24, 2023: Congratulations! Our paper MA-RECON: Mask-aware deep-neural network for robust fast MRI k-space interpolation has been accepted by the journal Computer Methods and Programs in Biomedicine!

October 24, 2023: Congratulations to Shir Nitzan and Rotem Benisty for the acceptance of their abstracts to the IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology!

October 10, 2023: Congratulations! Eyal Hannania was selected to receive the MICCAI 2023 STudent Author Registration (STAR) Award!

September 20, 2023: Congratulations! Dr. Moti Freiman is awared the Jacobs Technion-Cornell Institute travel grant to collaborate with Prof. M. Sabuncu from Cornell-Tech.

September 19, 2023: Congratulations! PhD student Nitzan Avidan will present her paper "Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for Clinical Translation" at the 12th MICCAI CLIP workshop!

September 19, 2023: Congratulations! PhD student Nitzan Avidan was awarded the VATAT Scholarship Program For PhD Students in Data Science!

June 26, 2023: Congratulations! The TCML lab was awarded a Kamin grant from the Israel innovation authority to develop deep-learning based medical imaging technologies for response to therapy prediction in Oncology in collaboration with Dr. Anat Ilivitzki at Rambam Medical Center.

June 26, 2023: Congratulations! Eyal Hannania and Lilach Barkat had their paper: PCMC-T1: Free-breathing myocardial T1 mapping with physically-constrained motion correction accepted to the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), to be held Oct. 8-12 in Vancouver, BC, Canada. See here.

March 27, 2023: Congratulations! Lilach Barkat had her paper Image Translation of Breast Ultrasound to Pseudo Anatomical Display by CycleGAN accepted to the Journal of Bioengineering (10(3)). see here.

Feb 15, 2023: Congratulations! TCML members,Eyal Hanania, Yael Zaffrani, Lilach Barkat, Maya Gilad, Hadas Ben Atiya, and Samah Khawaled, had abstracts accepted to the ISMRM 2023 conference in Toronto, Canada to be held June 3-8.

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.