Hello, World!
I am

Yuhua Chen

a Ph.D. student of Bioengineering at University California, Los Angeles (UCLA),
and research student in Biomedical Imaging Research Institute (BIRI) at Cedars-Sinai Medical Center.
AI, MRI, and 3D Imaging

About Me

  • Name: Yuhua (Bill) Chen
  • Lab:
    Li's Research Lab
    Biomedical Imaging Research Institute
  • University:
    University of California, Los Angeles (UCLA)
  • Institution:
    Cedars-Sinai Medical Center
  • Address:
    8700 Beverly Blvd.
    PACT, Suite 400
    Los Angeles, CA 90048
  • Email: contact [at] yuhuachen [dot] com

Bio

I am a Ph.D. student of Biomedical Engineering at UCLA, supervised by Dr. Debiao Li, the director of Biomedical Imaging Research Institute (BIRI) at Cedars-Sinai Medical Center.

My research is focused on Super-Resolution in MRI, Dynamic MRI Reconstruction, and Multi-Organ MRI Segmentation.
I received two degrees: Master of Science in BioEngineering and Master of Computer Information & Technology from University of Pennsylvania (UPenn). I am very lucky to have spent my summers as a research intern at Voxelcloud (with CEO: Dr. Xiaowei Ding), Philips Research (with principal: Dr. Minnan Xu), and MGH/HST A.A Martinos Center (with professor Dr. Iman Aganj).

More on my research and publications.

Who I am ?

As a researcher, developer, and technology enthusiast, I am eager to bring latest techniques to biomedical engineering, aiming to let people have inexpensive, efficient, and affordable medical imaging services.

With a strong background in both biomedical engineering and computer science, I am doing my best to crack down the most uncharted challenges in magnetic resonance imaging(MRI) by translating deep artificial neural networks into biomedical science.

I am also a coding zealot. I found my passion for programming as early as I was in high school. Ever since then, I designed and built many cool pieces of stuff, from small and simple android apps to complicated parallel computing projects.

What I Do ?

I have a love of clean and elegant design, not only for how the product shows apparently but also for the inner structure of codes and styling. As a computer science graduate, I have made a lot of different applications on variant platforms. And for a research student, I also have insights into scientific algorithm developing and implementation.

  • Deep Learning Research
  • 3D Generative Model
  • Image Reconstruction
  • Magnetic Resonance Imaging
  • Distributed System
  • Natural Language Processing
  • Image Understanding (Classification/Segmentation)
  • Web-base Application

Video Introducing

Resume

Education

  • 2016 - Present

    Doctorate of Philosophy

    Bioengineering Department

    School of Engineering and Applied Science
    University California, Los Angeles, CA, USA

  • 2015 - 2016

    Master of Computer & information Technology

    Computer & Information Science Department

    School of Engineering and Applied Science
    University of Pennsylvania, Philadelphia, PA, USA

  • 2011 - 2014

    Master of Science in Bioengineering

    Bio & Biomedical Engineering Department

    School of Engineering and Applied Science
    University of Pennsylvania, Philadelphia, PA, USA

  • 2007 - 2011

    Bachelor of Science

    Biomedical Engineering Department

    Sino-Dutch Biomedical and Information Engineering School
    Northeastern University, Liaoning, China

Experience

  • Summer 2017

    Research Scientist Intern

    VoxelCloud Inc, Los Angeles, CA

    Designed and built novel and efficient 3D neural networks for lung CT projects; Innovative multitasking structure helps to achieve state-of-the-art performance; Supported engineering team for prototyping and feature release.

  • Summer 2016

    Research Student Intern

    MGH / Harvard-MIT Health Science & Technology (HST), Boston, MA

    Worked on a fast Hough transformation algorithm for brain MRI

  • Summer 2016

    Research Scientist Intern

    Philips Research North America, Cambridge, MA

    Designed and built neural networks (NN) independently to identify patients with congestive heart failure using 16 million time-series data over 140 thousand patients; achieved an AUROC of 88.55

  • 2015 - 2016

    Graduate Teaching Assistant

    University of Pennsylvania, Philadelphia, PA

    2016 Spring term, Data Structure
    2015 Fall term, Programming Languages & Techniques

  • Summer 2015

    Summer Research Intern

    Cedars-Sinai Medical Center, Los Angeles, CA

    Developed an automated LV segmentation method for free-breathing 4D MR images; Published on SCMR-6 and ISMRM-16

  • 2013

    Research Intern

    Samsung Advanced Institute of Technology, Beijing, China

    Lead in algorithm development; Applied multi-atlas label fusion (MALF) segmentation algorithm, improved accuracy

Skills

Deep Neural Networks

95%

Tensorflow

80%

NodeJs/HTML

75%

Python

85%

Java

68%

Image Reconstruction

92%

Image Segmentation

82%

C++

42%

MRI techniques

77%

Cloud Computing

70%

More skills

Creativity
Programming
Research
Entertainment
Management
Motivation
S

Projects

Conferences

SCMR 2016

SCMR 2016

ISMRM 2016

ISMRM 2016

ISMRM 2017

ISMRM 2017

IEEE-ISBI 2018

IEEE-ISBI 2018

ISMRM 2018

ISMRM 2018

MICCAI 2018

MICCAI 2018

ISMRM 2019

ISMRM 2019

AAPM 2019

AAPM 2019

MICCAI 2019

MICCAI 2019

SCMR 2020

SCMR 2020

WACV 2020

WACV 2020

8

Years of Exploration

1086

Joyful moments

181202

Lines of code

1802

Cups of Coffee

Together we can build a better future

Get Hired

Get in touch

Drop me a message
Address/Street 116 N. Robertson Blvd.
Pacific Theatres, Suite 400
Los Angeles, CA 90048
Phone Number Phone: 310-423-7766
Fax: 310-248-8682