Shaoting Zhang
Professor
Works on medical AI, leading development of medical multimodal foundation models.
Shaoting Zhang's lab at SJTU works on medical imaging & healthcare AI, generative & foundation models and vision-language & multimodal. 130 papers since 2023, 44 at top venues, mostly MICCAI and ISBI. Applications close .
At a glance
- papers, 2023–2026
- 34/ year
- at T1 venues
- 34%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 21 papers2026 · T1 4 · collecting
- 43 papers2025 · T1 21
- 36 papers2024 · T1 11
- 30 papers2023 · T1 8
T1 venuesOtherVenues: MICCAI, ISBI, Neurocomputing, Pattern Recognition, Findings of ACL
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI44 papers
- medical43 papers
- Generative & foundation models24 papers
- Vision-language & multimodal17 papers
- leading0 papers
Paper list
From DBLP.
202621 papers
- ISBI3D DoseGLA: Gated Linear Attention with Wavelet-Domain Constraint for Efficient 3D Radiotherapy Dose Prediction (opens in a new tab)
- ACM Comput. Surv.Data-Centric Foundation Models in Computational Healthcare: A Survey (opens in a new tab)
- NeurocomputingDermClinical: Clinical-oriented dataset and evaluation for computer-aided dermatological diagnosis (opens in a new tab)
- Findings of ACLDiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models (opens in a new tab)
- ISBIDINOV3-Guided Cross Fusion Framework for Semantic-Aware CT Generation From MRI and CBCT (opens in a new tab)
- IEEE Trans. Medical ImagingLearning Modality-Aware Representations: Adaptive Group-Wise Interaction Network for Multimodal MRI Synthesis (opens in a new tab)
- Medical Image Anal.MADCrowner: Margin Aware Dental Crown design with template deformation and refinement (opens in a new tab)
- ACL (T1)MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP Integration (opens in a new tab)
- IEEE J. Biomed. Health InformaticsMedSegAgent: A Universal and Scalable Multi-Agent System for Instructive Medical Image Segmentation (opens in a new tab)
- IEEE Trans. Medical ImagingMetaSSL: A General Heterogeneous Loss for Semi-Supervised Medical Image Segmentation (opens in a new tab)
- IEEE Trans. Medical ImagingParallel Hyper-Prior and Dual-Domain Autoregressive Transformer for Lossless JPEG Recompression of Pathology Images (opens in a new tab)
- Medical Image Anal.PL-Seg: Partially labeled abdominal organ segmentation via classwise orthogonal contrastive learning and progressive self-distillation (opens in a new tab)
202543 papers
- Medical Image Anal.A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation (opens in a new tab)
- TIP (T1)A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image Segmentation (opens in a new tab)
- Nat. Comput. Sci.Cost-effective instruction learning for pathology vision and language analysis (opens in a new tab)
- MICCAI (T1)CSAL-3D: Cold-Start Active Learning for 3D Medical Image Segmentation via SSL-Driven Uncertainty-Reinforced Diversity Sampling (opens in a new tab)
- MICCAI (T1)DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs (opens in a new tab)
- Inf. FusionECGFM: A foundation model for ECG analysis trained on a multi-center million-ECG dataset (opens in a new tab)
- Medical Image Anal.Editorial for Special Issue on Foundation Models for Medical Image Analysis (opens in a new tab)
- ISBIFairness Analysis of Clip-Based Foundation Models for X-Ray Image Classification (opens in a new tab)
- MICCAI (T1)FDAS: Foundation Model Distillation and Anatomic Structure-Aware Multi-task Learning for Self-Supervised Medical Image Segmentation (opens in a new tab)
- MICCAI (T1)FilterDiff: Noise-Free Frequency-Domain Diffusion Models for Accelerated MRI Reconstruction (opens in a new tab)
- Pattern RecognitionFine-grained medical image out-of-distribution detection through multi-view feature uncertainty and adversarial sample generation (opens in a new tab)
- SASHIMI@MICCAIGLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT (opens in a new tab)
202436 papers
- PatternsAn objective quantitative diagnosis of depression using a local-to-global multimodal fusion graph neural network (opens in a new tab)
- Medical Image Anal.AVDNet: Joint coronary artery and vein segmentation with topological consistency (opens in a new tab)
- ISBIBoosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts (opens in a new tab)
- MICCAI (T1)BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders (opens in a new tab)
- NeurIPS (T1)CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation (opens in a new tab)
- Medical Image Anal.Classification of lung cancer subtypes on CT images with synthetic pathological priors (opens in a new tab)
- Pattern RecognitionDA-Tran: Multiphase liver tumor segmentation with a domain-adaptive transformer network (opens in a new tab)
- DGM4MICCAI@MICCAIDeReStainer: H&E to IHC Pathological Image Translation via Decoupled Staining Channels (opens in a new tab)
- Medical Image Anal.DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation (opens in a new tab)
- NeurocomputingDomain composition and attention network trained with synthesized unlabeled images for generalizable medical image segmentation (opens in a new tab)
- ISBIDual-Perspective Label Smoothing for Accurate Tumor Segmentation (opens in a new tab)
- IEEE Trans. Medical ImagingFPL+: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation (opens in a new tab)
202330 papers
- Medical Image Anal.A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation (opens in a new tab)
- Findings of ACLAlleviating Exposure Bias via Multi-level Contrastive Learning and Deviation Simulation in Abstractive Summarization (opens in a new tab)
- EMBCAutomatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features (opens in a new tab)
- Medical Image Anal.CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation (opens in a new tab)
- IEEE Trans. Medical ImagingContrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures (opens in a new tab)
- Briefings Bioinform.Deep generative modeling and clustering of single cell Hi-C data (opens in a new tab)
- EMBCDomain-Adversarial Transformer Network for Multiphase Liver Tumor Segmentation (opens in a new tab)
- Medical Image Anal.Editorial for special issue on explainable and generalizable deep learning methods for medical image computing (opens in a new tab)
- IEEE Trans. Medical ImagingEfficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation (opens in a new tab)
- MICCAI (T1)Foundation Model for Endoscopy Video Analysis via Large-Scale Self-supervised Pre-train (opens in a new tab)
- TML4HGeometry-Based End-to-End Segmentation of Coronary Artery in Computed Tomography Angiography (opens in a new tab)
- IEEE Trans. Medical ImagingHAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images (opens in a new tab)
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.
Similar labsnearest by research summary
- GBUCL
Peter Bentley
- Genomics & computational biology
- USUC Berkeley
Michael Lustig
- Medical imaging & healthcare AI
- CNPeking
Tao Wang
- Computational neuroscience & cognition
- HKCUHK
Yixuan Yuan
- Medical imaging & healthcare AI
- USUT Austin
Jon Tamir
- Medical imaging & healthcare AI
- USStanford
Stefano Ermon
- Generative & foundation models
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
SJTUcloses