Shuo

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Education

Johns Hopkins University, Baltimore, MD 2016–present

Doctor of Philosophy in Biomedical Engineering

Johns Hopkins University, Baltimore, MD 2014–2016

Master’s of Science and Engineering in Biomedical Engineering

Tsinghua University, Beijing, China 2010–2014

Bachelor of Engineering in Biomedical Engineering

Minor in Computer Science & Technology

Research

Image Analysis and Communications Laboratory, Johns Hopkins University, Baltimore, MD

Cerebellar Parcellation and Analysis 2016–present

Laboratory of Behavioral Neuroscience, NIA, NIH, Baltimore, MD

Longitudinal Analysis of the Cerebellum 2016–present

Dynamic Imaging Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD

Cardiac MRI Heartbeat-Type Triggering System During Arrhythmia 2015–2016

Polyhedral Phantom Framework with Analytical Fourier Transform 2014–2016

Tsinghua University, Center for Biomedical Imaging Research, Beijing, China

Unsupervised Machine Learning Based Motion Compensation in MRI 2013–2014

Publications

Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, et al. "Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images." NeuroImage, 2018.

Tri M. Ngo, George S. K. Fung, Shuo Han, Min Chen, Jerry L. Prince, Benjamin M. W. Tsui, Elliot R. McVeigh, and Daniel A. Herzka, “Realistic analytical polyhedral MRI phantoms.” Magnetic Resonance in Medicine, 2015.

Shuo Han and Daniel A. Herzka, “PolyFT: a Freely-available optimized MATLAB implementation of the polyhedral Fourier transform for analytical simulations in MRI.” presented at ISMRM 24th Meeting, Singapore, 2016.

Shuo Han and Daniel A. Herzka, “Polyhedral phantom framework with analytical Fourier transform with intensity gradients.” presented at ISMRM 23rd Meeting, Toronto, Canada, 2015.