Shangqi Gao
Scholar

Shangqi Gao

Google Scholar ID: D-jg5rUAAAAJ
University of Cambridge
Inverse ProblemsMedical ImagingBayesian Deep LearningExplainable AI
Citations & Impact
All-time
Citations
334
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
1
list available
Resume (English only)
Academic Achievements
  • Recipient of the Elsevier-MedIA 1st Prize & MICCAI Best Paper Award in 2023
  • President of MICCAI SIG-xMedIA
  • Peer reviewer for top-tier journals and conferences including Cancer Discovery (IF:30.6), Nature Communications (IF:14.7), Medical Image Analysis (IF:10.7), IEEE TMI (IF:10.6), IEEE TNNLS (IF:10.2), Neural Networks, CVPR, ICCV, ECCV, and MICCAI
  • Paper accepted at NeurIPS 2025
  • Best Paper Award at MICCAI AMAI 2025
  • Four papers accepted at MICCAI 2025
  • Organizing the MICCAI 2025 CARE Challenge with 1300+ cases from 18 centers
Background
  • Currently a Research Associate at the Early Cancer Institute, University of Cambridge, working with Dr. Mireia Crispin and Prof. James Brenton
  • Research interests include inverse problems, computational imaging, Bayesian deep learning, and multi-omic data analysis
  • Particularly focused on explainable and generalizable AI for computer vision, medical image analysis, and cancer research
  • PhD thesis titled “Deep Image Decomposition and Reconstruction”, developing deep learning-based mathematical and statistical frameworks for inverse problems in photography and medical imaging, with applications in natural image super-resolution and medical image segmentation
  • MSc thesis titled “Regularization-Based Approaches for Tensor Completion”, exploring inverse problems in tensor completion with applications in color images, videos, and MRI