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!
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!
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)).
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.
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.