Junshen
Xu
(徐
俊燊)
Room 36-776A
50 Vassar St.
(MIT building 36)
Cambridge, MA 02139
Hi! I am currently a fifth-year Ph.D. student at MIT majoring in Electrical Engineering and Computer Science. My research focuses on machine learning and developing robust and efficient algorithms driven by clinical problems. Applications include motion-robust 3D rendering of the human brain, real-time quality assessment in MR scans as well as pose estimation and motion characterization of fetuses. I am advised by Prof. Elfar Adalsteinsson and collaborate closely with Prof. Polina Golland and Prof. P. Ellen Grant.
I also did summer internships at Google and Meta, working on automated Ads bidding and large-scale video recommendation systems respectively.
Prior to MIT, I received my Bachelor’s degree from Tsinghua University in 2018. I also spent a summer as a research assistant at Stanford, where I was advised by Prof. John Pauly and Prof. Greg Zaharchuk.
news
Apr 25, 2023 | We just released NeSVoR v0.2.0. Check it out! |
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Apr 19, 2023 | I successfully defended my doctoral thesis today! |
Mar 16, 2023 | Our paper entitled “Latent Signal Models: Learning Compact Representations of Signal Evolution for Improved Time-Resolved, Multi-contrast MRI” was accepted by MRM! |
Feb 21, 2023 | Our paper entitled “Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space” was accepted by MIDL 2023! |
Jan 9, 2023 | Our paper entitled “NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI” was accepted by IEEE TMI! |