Jan 22, 2024 I join Adobe Inc. as a computer scientist with Marc Levoy’s computational photography team!
Sep 21, 2023 Our MRI off-resonance correction paper (Physics-Informed Deep Learning Framework for MRI Off-Resonance Correction Trained with Noise Instead of Data) was accpeted to NeurIPS 2023! Project led by my awesome collaborator Alfredo! Arxiv and code will be available soon! [Paper]
Jun 30, 2023 Our image harmonization work (Semi-supervised Parametric Real-world Image Harmonization) is presented at CVPR 2023. [Project page] [Paper] [Video] [Code] [Poster]
Jun 19, 2023 Our paper High-fidelity Direct Contrast Synthesis from MR Fingerprinting was accepted by MRM is now published online! Please check it out! [Paper]
Jun 1, 2023 I join Samsung Research America (SRA) as a senior research engineer, working on real-worled computational imaging and computer vision! Lets keep making impacts!
May 12, 2023 Graduation time! I offically obtained my Ph.D degree from EECS, UC Berkeley! Go Bears! My thesis Magnetic Resonance Image Reconstruction with Greater Fidelity and Efficiency is available!
Jan 1, 2023 I will be serving as reviewer for MICCAI 2023, Neurips 2023, Siggraph Asia 2023, Siggraph 2023, ICLR 2023.
May 30, 2022 I presented our work on Rigorous Uncertainty Estimation for MRI Reconstruction at ISMRM 2022 as an oral presentation. Manuscript and abstract is available upon request.
Apr 30, 2022 Our UFLoss paper titled High fidelity deep learning-based MRI reconstruction with instance-wise discriminative feature matching loss was accecpted by MRM and is now published online! Please check it out! [paper] [talk] [code]
Feb 20, 2022 Three abstracts (1 first-authored and 2 co-authored) were accepted by ISMRM 2022 as oral presentations!
Feb 1, 2022 Our Data Crimes paper with title Implicit data crimes: Machine learning bias arising from misuse of public data was accpeted for publication in PNAS! More infromation and details for this paper are avaible on Efrat’s website.
Sep 30, 2021 I presented our work on Memory-efficient Learning for High-dimensional MRI Reconstruction at MICCAI 2021. Date & Time: September 29th (Wednesday), 09:30 - 11:00 (UTC). Welcome to check it out! [Paper] [Poster] [Video]