Difference between revisions of "Yufan"

From IACL
Jump to navigation Jump to search
m
 
(4 intermediate revisions by one other user not shown)
Line 1: Line 1:
<meta name="title" content="Yufan"/>
+
<!-- <meta name="title" content="Yufan"/> -->
 
[[Image:Mmexport1505516592246_crop.jpg|right|thumb|300px|Yufan He at the OMIA Workshop, held in conjunction with MICCAI 2017.]]
 
[[Image:Mmexport1505516592246_crop.jpg|right|thumb|300px|Yufan He at the OMIA Workshop, held in conjunction with MICCAI 2017.]]
 
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><font size="5"><b>Yufan He</b></font> </div>
 
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><font size="5"><b>Yufan He</b></font> </div>
Line 10: Line 10:
  
 
{{h2|Biography}}
 
{{h2|Biography}}
I'm a third year PhD student in the Image Analysis and Communications Lab (IACL) at [http://www.ece.jhu.edu/ Electrical and Computer Engineering], [http://www.jhu.edu/ ''Johns Hopkins University'']. My advisor is Dr. {{iacl|Prince|Jerry L. Prince}}.
+
I'm a fifth year PhD student in the Image Analysis and Communications Lab (IACL) at [http://www.ece.jhu.edu/ Electrical and Computer Engineering], [http://www.jhu.edu/ ''Johns Hopkins University'']. My advisor is Dr. {{iacl|Prince|Jerry L. Prince}}.
 
{{h2|Research Interests}}
 
{{h2|Research Interests}}
 
*Medical image analysis (OCT&OCTA).
 
*Medical image analysis (OCT&OCTA).
*Bayesian & Deep learning
+
*Bayesian & Deep learning (Segmentation, domain adaptation, neural architecture search)
 +
{{h2|Research Projects}}
 +
*Topology correct retinal layer segmentation from OCT images using deep learning
 +
*Longitudinal OCT layer segmentation using deep learnining
 +
*Single shot test time domain adaptation/ Domain adaptation without source domain on OCT images.
 +
*Parking space detection with mask-rcnn/ bird-view generation from monocular RGB image
 +
*Differentiable neural network topology search for medical image segmentation.
 +
 
 
{{h2|Education}}
 
{{h2|Education}}
 
*Bachelor of Science, Electronic Information Science and Technology, Tsinghua University, Beijing, China, July 2016
 
*Bachelor of Science, Electronic Information Science and Technology, Tsinghua University, Beijing, China, July 2016
 
*Bachelor of Management, School of Economics and Management, Tsinghua University, Beijing, China, July 2016
 
*Bachelor of Management, School of Economics and Management, Tsinghua University, Beijing, China, July 2016
 
{{h2|Experiences}}
 
{{h2|Experiences}}
Intern, SenseTime Research, Beijing, China, 2018 summer<br>
+
Intern, Nvidia, USA, 2020 summer<br>
 +
Intern, SenseTime Research, China, 2018 summer<br>
 +
Teaching Assistant, Compressed sensing and sparse recovery, Johns Hopkins University, 2019 spring/2020 spring <br>
 
Teaching Assistant, Random signal analysis, Johns Hopkins University, 2017 fall<br>
 
Teaching Assistant, Random signal analysis, Johns Hopkins University, 2017 fall<br>
 
Research Assistant, Institute of High-Speed Signal Processing and Network Transmission, Tsinghua University, 2016<br>
 
Research Assistant, Institute of High-Speed Signal Processing and Network Transmission, Tsinghua University, 2016<br>
Line 24: Line 33:
 
Research Assistant, Institute of Computer Software, Tsinghua University, 2015,2016<br>
 
Research Assistant, Institute of Computer Software, Tsinghua University, 2015,2016<br>
 
{{h2|Publications}}
 
{{h2|Publications}}
My Google Scholar Link is [https://scholar.google.com/citations?user=J-3tb-YAAAAJ&hl=en]
+
My Google Scholar Link is [https://scholar.google.com/citations?user=btkEZXIAAAAJ&hl=en]

Latest revision as of 01:16, 3 July 2022

Yufan He at the OMIA Workshop, held in conjunction with MICCAI 2017.
Yufan He
Ph.D. student in the Departement of Electrical and Computer Engineering
Clark Hall 204, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218
Email: yhe35@jhu.edu


Biography

I'm a fifth year PhD student in the Image Analysis and Communications Lab (IACL) at Electrical and Computer Engineering, Johns Hopkins University. My advisor is Dr. Jerry L. Prince.

Research Interests

  • Medical image analysis (OCT&OCTA).
  • Bayesian & Deep learning (Segmentation, domain adaptation, neural architecture search)

Research Projects

  • Topology correct retinal layer segmentation from OCT images using deep learning
  • Longitudinal OCT layer segmentation using deep learnining
  • Single shot test time domain adaptation/ Domain adaptation without source domain on OCT images.
  • Parking space detection with mask-rcnn/ bird-view generation from monocular RGB image
  • Differentiable neural network topology search for medical image segmentation.

Education

  • Bachelor of Science, Electronic Information Science and Technology, Tsinghua University, Beijing, China, July 2016
  • Bachelor of Management, School of Economics and Management, Tsinghua University, Beijing, China, July 2016

Experiences

Intern, Nvidia, USA, 2020 summer
Intern, SenseTime Research, China, 2018 summer
Teaching Assistant, Compressed sensing and sparse recovery, Johns Hopkins University, 2019 spring/2020 spring
Teaching Assistant, Random signal analysis, Johns Hopkins University, 2017 fall
Research Assistant, Institute of High-Speed Signal Processing and Network Transmission, Tsinghua University, 2016
Research Assistant, Penn Image Computing and Science Lab, University of Pennsylvania, 2015 summer
Research Assistant, Institute of Computer Software, Tsinghua University, 2015,2016

Publications

My Google Scholar Link is [1]