Jing Ke
Associate Professor
Works on AI-based medical image analysis and GPU heterogeneous computing.
Jing Ke's lab at SJTU works on medical imaging & healthcare AI. 17 papers since 2023, 9 at top venues, mostly TMI and Medical Image Analysis. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 53%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 1 · collecting
- 2 papers2025 · T1 2
- 4 papers2024 · T1 2
- 9 papers2023 · T1 4
T1 venuesOtherVenues: TMI, Medical Image Analysis
Research focuspaper titles that use each topic's words
- gpu1 paper
- Medical imaging & healthcare AI0 papers
- heterogeneous computing0 papers
- ai-based0 papers
- heterogeneous0 papers
Paper list
From the lab homepage.
20262 papers
- Medical Image Analysis (T1)A content-aware variable-rate framework for pathology learned image compression (PathoLIC)
- Nature Biomedical EngineeringA deep learning system for non-invasive breast cancer diagnosis with multimodal data
20252 papers
- TMI (T1)Ethics of Foundation Models in Computational Pathology: Overview of Contemporary Issues and Future Implications
- Medical Image Analysis (T1)Learnable color space conversion and fusion for stain normalization in pathology images
20244 papers
- IEEE International Conference on Multimedia and Expo (ICME), Niagara Falls, ON, CanadaDiffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model
- TMI (T1)Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images
- IEEE Journal of Biomedical and Health InformaticsRandStainNA++: Enhance Random Stain Augmentation and Normalization Through Foreground and Background Differentiation
- TMI (T1)SegAnyPath: A Foundation Model for Multi-resolution Stain-variant and Multi-task Pathology Image Segmentation
20239 papers
- Medical Image Analysis (T1)A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets
- TMI (T1)A Federated Learning System for Histopathology Image Analysis with an Orchestral Stain-Normalization GAN
- TMI (T1)A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification
- . In: Greenspan, H., et al., Medical Image Computing and Computer Assisted Intervention - MICCAI , Lecture Notes in Computer ScienceAn Anti-biased TBSRTC-Category Aware Nuclei Segmentation Framework with a Multi-label Thyroid Cytology Benchmark
- TMI (T1)Artifact Detection and Restoration in Histology Images with Stain-Style and Structural Preservation
- . In: Greenspan, H., et al., Medical Image Computing and Computer Assisted Intervention - MICCAI , Lecture Notes in Computer ScienceCOVID-19 Pneumonia Classification with Transformer from Incomplete Modalities
- Computer Methods and Programs in BiomedicineMine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images
- IEEE International Parallel and Distributed Processing Symposium (IPDPS), St. Petersburg, FL, USAPRF: A Fast Parallel Relaxed Flooding Algorithm for Voronoi Diagram Generation on GPU
- . In: Greenspan, H., et al., Medical Image Computing and Computer Assisted Intervention - MICCAI , Lecture Notes in Computer ScienceStainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-ensemble
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- The lab homepage
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