Pengfei Guo

Pengfei Guo

PhD candidate at Department of Computer Science

Johns Hopkins University

Biography

I am a PhD candidate at Department of Computer Science, Johns Hopkins University and a member of the Vision and Image Understanding (VIU) Lab, advised by Dr. Vishal M Patel. I am also working closely with MR Research Division, Johns Hopkins Medicine to develop clinical applications.

My research interest lies at the intersection of medical image analysis, computer vision and machine learning. Currently, I am particularly working on accelerated MRI reconstruction, molecular MRI, and federated learning. I interned at NVIDIA in the summer of 2021 where I worked on federated learning and AutoML, with Holger Roth and Daguang Xu.

Interests
  • Medical Image Analysis
  • Computer Vision
  • Machine Learning
Education
  • PhD in Computer Science, 2020-2023

    Johns Hopkins University

  • MSE in Computer Science, 2018-2019

    Johns Hopkins University

  • BSc in Computational Mathematics (With Honors), 2015-2018

    Michigan State University

Recent News

  • Sep, 2022 - Joined Google as Research Intern.
  • Jul, 2022 - 1 paper accepted at NeuroImage: Clinical.
  • Jul, 2022 - 1 paper accepted at ECCV 2022.
  • Jun, 2022 - 1 paper accepted at MICCAI 2022.
  • May, 2022 - Joined Hyperfine Research as Machine Learning Intern.
  • Mar, 2022 - 2 papers accepted at CVPR 2022.
  • Feb, 2022 - Received Trainee (Educational) Stipend from ISMRM .
  • Feb, 2022 - Gave a talk at WSDM'22 WORKSHOP FL4P-WSDM : Federated Learning for Private Web Search and Data Mining.
  • Jun, 2021 - 1 paper accepted at MICCAI 2021.
  • May, 2021 - Joined NVIDIA as Applied Research Intern.
  • Mar, 2021 - 1 paper accepted at CVPR 2021.
  • Dec, 2020 - 1 paper accepted at IEEE Transactions on Medical Imaging .
  • Jul, 2020 - 1 paper accepted at ECCV 2020.
  • Jul, 2020 - 1 paper accepted at Biomedical Optics Express.
  • Jun, 2020 - 2 papers accepted at MICCAI 2020.
  • Jan, 2020 - Joined VIU for my PhD.

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