Chen Liu

Chen Liu

Computer Science PhD Student

Krishnaswamy Lab, Yale University


Hi, my name is Chen Liu.
My name in my native language is 刘 晨 (family name followed by given name), pronounced as “Leo Chen”.

I am a first year CS PhD student at Yale.
My area of research is primarily deep learning in healthcare.
I worked on medical imaging a lot in the past, and gradually shifting focus to computational biology.

Interests
  • Machine Learning in Healthcare
  • Representation Learning
  • Graph Neural Network
  • Computer Vision
Education
  • PhD in CS, 2022 - 2028

    Yale University

  • MS in EE, 2018 - 2019

    Columbia University

  • BS in EE, 2014 - 2018

    Bucknell University

  • Middle & High School, 2007 - 2014

    Shanghai Foreign Language School

News


[Sep 2022] Working on a few projects in the lab and renovating some codebases, such as Unsupervised Medical Image Segmentation, Learnable Geomeric Scattering, etc.
[Sep 2022] Serving as a teaching fellow for CPSC483 Deep Learning on Graph-Structured Data instructed by Rex Ying.
[Aug 2022] Starting my PhD program at Krishnaswamy Lab, Yale University.
[Jul 2022] Recognized as an Outstanding Reviewer at ICML 2022!

Awards and Recognitions

Outstanding Reviewer + Session Chair at ICML 2022
Among top 10% of reviewers at ICML 2022.
Invited as an ICML 2022 Session Chair.

Professional Service

Served as a reviewer at:

Journals

Conferences

Experience

 
 
 
 
 
GE Healthcare
Senior Data Scientist - Deep Learning
Aug 2021 – Jul 2022 California
 
 
 
 
 
Matician Inc
Research Software Engineer
Jan 2020 – Jun 2020 California
 
 
 
 
 
Columbia University (Medical Center)
Research Assistant
Dec 2019 – Nov 2020 New York

Preprints

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(2022). Adversarial Focal Loss: Asking Your Discriminator for Hard Examples. Preprint.

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Journal Publications

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(2022). Deep Learning of MRI Contrast Enhancement for Mapping Cerebral Blood Volume from Single-Modal Non-Contrast Scans of Aging and Alzheimer's Disease Brains. In Frontiers in Aging Neuroscience.

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(2021). Reduced Hippocampal GABA is associated with Poorer Episodic Memory in Healthy Older Women: A Pilot Study. In Frontiers in Behavioral Neuroscience.

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(2020). In vivo γ‐aminobutyric acid increase as a biomarker of the epileptogenic zone: An unbiased metabolomics approach. In Epilepsia.

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Conference Papers

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(2022). Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features. In IEEE EMBC.

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(2021). Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data. In IEEE ISBI 2021.

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(2020). Substituting Gadolinium in Brain MRI Using DeepContrast. In IEEE ISBI 2020.

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Conference Workshops

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Conference Abstracts

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(2021). Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Artificial Functional MRI Data. In ISMRM 2021 1-Page Abstract.

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(2021). DL-BET-A Deep Learning Based Tool for Automatic Brain Extraction from Structural Magnetic Resonance Images in Mice. In ISMRM 2021 1-Page Abstract.

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(2021). In Vivo GABA Increase as a Biomarker of the Epileptogenic Zone: an Unbiased Metabolomics Approach. In ISMRM 2021 1-Page Abstract.

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(2021). JET-A Matlab Toolkit for Automated J-Difference-Edited MR Spectra Processing of In Vivo Mouse MEGA-PRESS Study at 9.4 T. In ISMRM 2021 1-Page Abstract Oral Presentation.

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(2021). Predicting Gadolinium Contrast Enhancement for Structural Lesion Analysis using DeepContrast. In ISMRM 2021 1-Page Abstract Oral Presentation.

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(2020). Substituting Gadolinium In Brain MRI Using DeepContrast -- A Proof-Of-Concept Study in Mice. In ISMRM 2020 1-Page Abstract Oral Power Pitch.

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(2020). Substituting Gadolinium In Human Brain MRI Using DeepContrast. In ISMRM 2020 1-Page Abstract Oral Power Pitch.

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