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General Information
| Full Name | Dr Shangqi Gao |
| Affiliation | Early Cancer Institute, University of Cambridge |
| Address | CB2 0XZ, Cambridge, UK |
| sg2162@cam.ac.uk | |
| Research Interests | Explainable and trustworthy medical AI; generalizable medical image analysis; Bayesian deep learning; multimodal cancer data integration |
Academic Experience
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Mar 2024 - Present Research Associate
University of Cambridge, Cambridge, UK - AI for cancer imaging integrating machine learning and multi-omics data
- Affiliated with the Early Cancer Institute, Department of Oncology
- Supervisor: Dr Mireia Crispin-Ortuzar
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Apr 2023 - Feb 2024 Postdoctoral Research Assistant
University of Oxford, Oxford, UK - Urological cancer pathology AI and uncertainty-aware deep learning
- Affiliated with the Nuffield Department of Surgical Sciences
- Supervisors: Prof Clare Verrill and Prof Jens Rittscher
Education
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Sep 2018 - Jul 2022 PhD in Statistics
School of Data Science, Fudan University, Shanghai, China - Thesis: Deep Image Decomposition and Reconstruction
- Advisor: Prof Xiahai Zhuang
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Sep 2015 - Jul 2018 MSc in Applied Mathematics
School of Mathematics and Statistics, Wuhan University, Wuhan, China - Thesis: Regularization-Based Approaches for Tensor Completion
- Advisor: Prof Qibin Fan
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Sep 2011 - Jul 2015 BSc in Applied Mathematics
Department of Mathematics, Northwestern Polytechnical University, Xi'an, China - Thesis: Fourier Analysis and Its Applications in Solving Differential and Integral Equations
- Advisor: Prof Pengcheng Niu
Honors and Awards
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2026 - Best Paper Award Candidate, CVPR
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2025 - Best Paper Award, MICCAI AMAI
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2023 - Shanghai Natural Science Award (2/5), Shanghai Government
- Elsevier-MedIA First Prize and Medical Image Analysis Best Paper Award, MICCAI
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2022 - Excellent Graduate Award, Shanghai Higher Education Department
- Best Paper Finalist, MICCAI
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2021 - National Graduate Scholarship (PhD), Fudan University
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2017 - National Graduate Scholarship (MSc), Wuhan University
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2014 - Meritorious Winner of the Mathematical Contest in Modeling, SIAM
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2013 - Honorable Mention in the Mathematical Contest in Modeling, CSIAM
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2012 - National Endeavor Scholarship, Northwestern Polytechnical University
Research Projects
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2025 - 2026 Multi-omics Data Integration for Ovarian Carcinoma
DAWN Pioneer Project, Cambridge, UK - Principal Investigator
- 10,000 GPU hours (£5,500)
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2024 - 2025 Computational Pathology and Multi-omics Data Integration for Ovarian Carcinoma
EPSRC Tier-2 HPC, Cambridge, UK - Co-lead
- 40,000 GPU hours (£22,000)
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2024 - 2026 Longitudinal Image and Volumetric Analysis, Visualisation and Measurements
GE HealthCare-Cambridge, Cambridge, UK - Research Associate
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2023 - 2024 Urological Cancer Pathology AI - Beyond Prostate
Medical Research Council, Oxford, UK - Postdoctoral Research Assistant
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2020 - 2023 Methodologies and Applications of Combined Segmentation of Multimodality Cardiac Images Based on Multivariate Mixture Models
National Natural Science Foundation of China, Shanghai, China -
2021 - 2023 Self-supervised Deep Learning for Multimodal Whole Heart Segmentation of Four-dimensional Cine Images
NSFC-STINT China-Sweden Joint Research Grant, Shanghai, China -
2020 - 2022 Cardiac Image Segmentation via Deep Learning with Regularization Using Prior Subnetworks
NSFC-NRF China-Korea Joint Research Grant, Shanghai, China
Teaching and Supervision
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2025 Supervisor, Why Should I Trust You? Explainable AI in Cancer Imaging
MPhil in Data Intensive Science, Department of Physics, University of Cambridge -
2025 - 2026 Supervisor, Training-free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection
PhD candidate, School of Computer Science, Carnegie Mellon University -
2024 - 2025 Supervisor, Towards Generalizable Retinal Vessel Segmentation with Deformable Graph Priors
PhD candidate, School of Computer Science, Zhejiang University -
2024 - 2025 Co-supervisor, Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
PhD candidate, TSTBI, Fudan University -
Aug 2024 Guest Lecturer, Image Processing and Analysis
Summer Programme, Homerton College, University of Cambridge -
2023 - 2024 Co-supervisor, InDeed - Interpretable Image Deep Decomposition with Guaranteed Generalizability
PhD candidate, School of Data Science, Fudan University -
2020 - 2021 Guest Lecturer, DATA630015 Medical Image Analysis
School of Data Science, Fudan University -
2019 - 2020 Teaching Assistant, DATA130012.01 Data Visualization
School of Data Science, Fudan University -
2018 - 2019 Teaching Assistant, Sparsity in Statistics
School of Data Science, Fudan University
Presentations and Talks
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Jul 2026 Invited talk: Explainable Integration of Radiology and Pathology for Pan-Cancer Analysis
Early Cancer Institute, University of Cambridge -
Apr 2026 Invited talk: Probabilistic Modelling and Bayesian Deep Learning in Multimodal Data Integration
Hawkes Institute, University College London -
Dec 2025 Oral: Towards Generalizable Retinal Vessel Segmentation with Deformable Graph Priors
NeurIPS@Cam Early Career Researcher Conference, University of Cambridge -
Nov 2025 Poster: Can Foundation Segmentation Models Generalize to Breast Cancer?
ESMO AI and Digital Oncology, Berlin, Germany -
Oct 2025 Invited talk: Explainable Integration of Kidney Cancer Radiology and Pathology
Jeffrey Cheah Biomedical Centre, University of Cambridge -
Sep 2025 Poster: Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks
MICCAI, Daejeon, South Korea -
Sep 2025 Oral: Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer
MICCAI AMAI, Daejeon, South Korea -
Jun 2024 Oral: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability
Robust Cancer Early Detection Systems under Distribution Shifts and Uncertainty Workshop, University of Cambridge -
Apr 2023 Invited talk: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability
First Youth Academic Forum on Intelligent Imaging, Chinese Society of Stereology -
Sep 2022 Poster: Joint Modelling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation
MICCAI, Singapore -
Jun 2022 Invited talk: Bayesian Deep Learning - Applications in Natural Image Super-Resolution and Medical Image Segmentation
1075th Academic Seminar on Biomedical and Health Engineering, Shenzhen -
Jun 2021 Seminar: Rank-One Network - An Efficient Framework for Image Restoration
Applied Mathematics PhD Seminar, School of Mathematics, Fudan University
Selected Publications
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2026 R2Seg: Training-free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection
CVPR (Oral; Best Paper Award Candidate) - S Shen, K Liu, J Xie, S Gao, C Shen, G Liu, M Crispin-Ortuzar, and S Gao
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2025 Towards Generalizable Retinal Vessel Segmentation with Deformable Graph Priors
NeurIPS - K Liu, S Gao, Y Fu, and S Gao
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2023 BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability
Medical Image Analysis, 89(7), 102889 - S Gao, H Zhou, Y Gao, and X Zhuang
- Elsevier-MedIA First Prize and MICCAI Medical Image Analysis Best Paper Award
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2023 Bayesian Image Super-Resolution with Deep Modelling of Image Statistics
IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2), 1405-1423 - S Gao and X Zhuang
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2022 Rank-One Network: An Effective Framework for Image Restoration
IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(6), 3224-3238 - S Gao and X Zhuang
Academic Service
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Leadership and Organization
- President, MICCAI Special Interest Group on Explainable AI for Medical Image Analysis, May 2024 - Present
- Program Chair, Workshop on Interpretability of Machine Learning in Medical Image Computing, MICCAI 2025, Daejeon, South Korea
- Co-organizer, Challenge on Comprehensive Analysis and Computing of Real-world Medical Images, MICCAI 2025, Daejeon, South Korea
- Organizer, Online Seminar on Explainable AI for Medical Image Analysis, June 2025
- Co-organizer, Challenge on Comprehensive Analysis and Computing of Real-world Medical Images, MICCAI 2024, Marrakesh, Morocco
- Co-organizer, First Workshop on Multimodal Imaging and Explainable Artificial Intelligence Analysis and International Symposium on Sino-Swedish Medical Image Analysis, Xiamen, China, July 2024
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Peer Review
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Cancer Discovery
- Nature Communications
- IEEE Transactions on Image Processing
- Medical Image Analysis
- IEEE Transactions on Medical Imaging
- IEEE Transactions on Neural Networks and Learning Systems
- Neural Networks
- Neurocomputing
- NeurIPS, CVPR, ICCV, ECCV, ACM Multimedia, and MICCAI