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Ruogu Fang

PhD Candidate

Department of Electrical and Computer Engineering
Cornell University
Ithaca, NY. 14853

Email:
rf294 at cornell dot edu
[Home] [CV] [Publications] [Research Projects] [Teaching]

What's new
  • 07/2014: MATLAB code for Sparsity High-Dose Induced Patlak Model (shd-Patlak) toolbox is available, including sample CT perfusion data [Download (35.4MB)] [Project]
  • 05/2014: I will join the School of Computing and Information Sciences at Florida International University located at Miami, Florida, as tenure-track Assistant Professor starting from August 2014. Fully-sponsored Research Assistant position available. Please contact me via e-mail if interested.
  • 6/11/2014: I passed my PhD Dissertation Defense. My thesis work is entitled "Towards Robust Medical Imaging: Sparsity-Based Perfusion Deconvolution". Thanks to my thesis committee members: Tsuhan Chen, Ramin Zabih, Noah Snavely, Pina Sanelli.
  • 6/9/2014: We have been awarded a Clinical and Translational Science Center (CTSC) Pilot Award for our proposal "Minimal Radiation Exposure Technology For Acute Stroke Assessment". The objective of Pilot Awards program is to create opportunities for translational team research across disciplines and institutions, and between basic and clinical scientists and the community. The pilot award involves Dr. Pina Sanelli from Weill Cornell Medical College and Dr. Tsuhan Chen, Dr. Ruogu Fang from ECE Department at Cornell Ithaca campus. The funded award is based on Ruogu's thesis research with application to acute stroke assessment with minimal radiation exposure. (6 out of 20 applications are awarded Pilot Award this year)
  • 06/02/2014-06/04/2014: I gave an invited talk entitled "Medical Image Analysis in Assessment of Treatment Response and Disease Progression" and attended the panel discussion at the 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), Special Session on Radiation Oncology, held at Miami, FL.
  • 05/22/2014: One paper accepted by MICCAI. Our paper has won the MICCAI Student Travel Award!
  • 05/07/2014: I gave a talk at the Biomedical Imaging Research Seminar organized at Weill Cornell Medical College on "Towards Safer Medical Imaging: Sparsity-based Perfusion Deconvolution".
  • 04/25/2014: I am awarded the Hsien Wu and Daisy Yen Wu Memorial Award 2014! This is in recognition of the excellent progress in the academic program and high potential for a successful academic career (5 awardees out of 19 applicants).
  • 04/15/2014: Our application to the "Seed Grant for Collaborations Between Cornell University-Ithaca and Weill Cornell Medical College Faculty" has been chosen for funding for the year 2014-2015! The funded research is based on my thesis work, and titled "Learning-Based Low Radiation CT Perfusion for Acute Stroke Diagnosis." It is a cross-campus, multidisciplinary collaboration involving Dr. Ajay Gupta and Dr. Pina Sanelli from the Weill Cornell Medical College, and Professor Chen and Ruogu Fang from the AMP Lab. Congratulations to the Team! (9 out of 39 applicaitons are funded this year) [AMP News]
  • 04/2014: MATLAB code for Robust Sparse Perfusion Deconvolution (SPD) toolbox is available, including sample CT perfusion data [Download (35.8MB)] [Project]
  • 01/2014: I gave talks entitled "Sparse Deconvolution" at the Department of Biomedical Engineering and Instrument Science of Zhejiang University and Med-X Research Institute of Shanghai Jiao Tong University, about our research on robust low-dose CTP deconvolution.

  • 10/2013: Our paper Improving Low-Dose Blood-Brain Barrier Permeability Quantification Using Sparse High-Dose Induced Prior for Patlak Model has been accepted by Medical Image Analysis. On the left is the 5 minute AudioSlide presentation for this paper.
  • MICCAI12_Poster 09/2013: Our paper Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning is recognized as one of the top 25 hottest papers in Medical Image Analysis in 2013 from April to June. The ranking includes all the previously published papers in Medical Image Analysis. This is the project page of our work on robust perfusion deconvolution. On the left is the poster presented at MICCAI 2012.

  • 06/2013: I visited Xia'men University and gave a talk to the Computer Science Department on our robust low-dose CTP deconvolution using dictionary learning (full paper in MedIA'13 and MICCAI'12).

  • 06/2013: One paper accepted by MICCAI'13. This the project page of our work on tissue-specific deconvolution for low-dose CT perfusion. [Poster]

  • 05/2013: One paper accepted by ICIP'13 on kinship classification by modeling facial feature heredity. This is the project page of our work.

  • 04/2013: We contributed a talk at the Special Session on Sparsity Techniques in Medical Imaging at ISBI'13 (San Francisco).

  • 03/2013: A journal paper accepted by Medical Image Analysis on robust deconvolution using online dictionary learning. This is the collaboration with Pina C. Sanelli at Weill Cornell Medical College. [Poster]

  • 05/2012: One paper accepted by MICCAI'12. This is the work on robust deconvolution of low-dose CT perfusion using online dictionary learning. This is the project page of our research.

  • 11/2012: Passed my A exam. Thanks to my committee members: Tsuhan Chen, Ramin Zabih, Noah Snavely and Pina C. Sanelli.

  • 04/2012: Presented our oral paper at ISBI'12 (Barcelona).

  • 01/2012: Our paper Sparsity-Based Deconvolution Of Low-Dose Brain Perfusion CT In Subarachnoid Hemorrhage Patients was presented as oral presentation at ISBI'12.

  • 12/2011: Facial recognition software spots family resemblance. Our kinship verification work is reported by NewScientist. The news describes our work on using 22 facial characteristics which, based on literature in genetic and cognitive science, seemed likely to be hereditary and find the optimal combination of facial features that can give the highest accuracy.

  • 09/2011: Finished my summer internship at Kodak research labs, mentored by Alexander C. Loui. We're working on the kinship classification using facial feature heredity on large scale multi-generation families.

  • 10/2011: Our paper Radiation dose reduction in computed tomography perfusion using spatial-temporal Bayesian methods is accepted by SPIE'12 on Medical Imaging.

  • 07/2011: Our paper Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts is accepted by MICCAI'11 Workshop on Computational and Clinical Applications in Abdominal Imaging with oral presentation.

  • 12/2010: My article A Tale of One Town and One City on my experience as a visiting research graduate student at Weill Cornell Medical College in New York City appears on Cornell Daily Sun.

  • 09/2010: Our oral paper Towards Computational Models of Kinship Verification won the Best Paper Award at ICIP'10 among nearly 1200 accepted papers. This is the collaboration with Noah Snavely and Kevin Tang. [Project] [CS News]

  • 08/2010: Finished my summer internship at Siemens Corporate Research, mentored by Leo Grady. We're doing research on the Interactive Segmentation On Mobile Devices In A Cloud Computing Environment with US patient.


Short bio
Ruogu Fang is a PhD student in the Department of Electrical and Computer Engineering at Cornell University, NY. She has received her B.E. degree in Information Engineering from Zhejiang University, China in 2009, M.S. degree in Electrical and Computer Engineering at Cornell University in 2012 and is expected to graduate with PhD degree in Electrical and Computer Engineering in 2014 from Cornell University. Her advisor is Dr. Tsuhan Chen. She is interested in designing robust and adaptive image data restoration and denoising algorithms and applying them to solve healthcare and computer vision problems.
Interests
Education
  • 08/2009 - 08/2014, Ph.D. in Electrical and Computer Engineering, Cornell University
  • 09/2005 - 06/2009, B.E. in Information Engineering, Zhejiang University
Experience
  • 2010 - present, Graduate Research Assistant at Cornell University
  • 2009, Visiting Research Student at Department of Biotechnology, Cambridge University
  • 2007 - 2008, Fung Scholar at Electrical and Electronic Engineering, University of Hong Kong
  • Summer, 2011, Research Intern at Department of Multimedia, Kodak Research Labs (NY)
  • Summer, 2010, Research Intern at Siemens Corporate Research (NJ)
Awards
  • Clinical and Translational Science Center (CTSC) Pilot Award, 2014-2015
  • Student Travel Award, International Conference on Medical Image Analysis and Computer Assisted Intervention (MICCAI), 2014
  • Hsien Wu and Daisy Yen Wu Memorial Award 2014
  • Seed Grant for Collaborations Between Cornell University-Ithaca and Weill Cornell Medical College Faculty 2014-2015
  • One of the Top 25 Hottest Papers in Medical Image Analysis in 2013. [Paper] [Project page]
  • ICIP Best Paper Award, 2010. [Paper] [Project Page]
    International Conference on Image Processing 2010
  • Jocobs Scholar Fellow, 2009-2010, for students who exemplify strength and potential in academics, service, and leadership with an expressed interest in using engineering education for the betterment of society.
  • Cornell ECE Women's Conference Travel Grant, sponsored by IBM
    The 15th International Conference Medical Image Computing and Computer Assisted Intervention
  • Student Travel Award
    International Conference on Image Processing 2010
Projects
Publications
Advising
  • Sherman Ng, Master of Engineering student, Cornell University. Thesis: Interactive interface for kinship verification on family photo albums. 09/2010 - 05/2011 [CVPR 2011 Demo Link] [Youtube] (joint work with with Jane Tsai and Johnny Lai)
  • Jane Tsai, Master of Engineering student, Cornell University
  • Johnny Lai, Master of Engineering student, Cornell University