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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.

Junshen Xu's Projects

devportfolio icon devportfolio

A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass

fetal-pose-gan icon fetal-pose-gan

3D Fetal Pose Estimation with Conditional Generative Adversarial Network

jalpc icon jalpc

🍎Jalpc -- A flexible Jekyll theme, 3 steps to build your website.

nesvor icon nesvor

NeSVoR is a package for GPU-accelerated slice-to-volume reconstruction.

pet-recon icon pet-recon

PET reconstruction, a coursework for Instruments and Methods in Nuclear Medicine

pythia icon pythia

A modular framework for Visual Question Answering research by the FAIR A-STAR team

spect-recon icon spect-recon

SPECT reconstruction, a coursework for Instrument and method in nuclear medicien

stress icon stress

Implementation of 'Stress: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning'

svort icon svort

SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI

tfocs icon tfocs

A MATLAB toolbox for building first-order solvers for convex models.

tikz icon tikz

Complete collection of my PGF/TikZ figures.

unlocbox icon unlocbox

A Matlab convex optimization toolbox using proximal splitting methods

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