Scholar
Junlin Hou
Google Scholar ID: 2bHYfQcAAAAJ
HKUST | Fudan University
Computer Vision
Medical Image Analysis
Label-efficient Deep Learning
eXplainable AI
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Homepage
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Citations & Impact
All-time
Citations
629
H-index
12
i10-index
13
Publications
20
Co-authors
5
list available
Contact
Email
csejlhou@ust.hk
CV
Open ↗
GitHub
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Publications
13 items
Vision-Language Model Based Multi-Expert Fusion for CT Image Classification
2026
Cited
0
Clinical Priors Guided Lung Disease Detection in 3D CT Scans
2026
Cited
0
Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement
2026
Cited
0
Benchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook
2025
Cited
0
A Versatile Foundation Model for AI-enabled Mammogram Interpretation
2025
Cited
0
A Unified Low-level Foundation Model for Enhancing Pathology Image Quality
2025
Cited
0
Solutions for Mitotic Figure Detection and Atypical Classification in MIDOG 2025
2025
Cited
0
A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Model
2025
Cited
0
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Resume (English only)
Academic Achievements
Published 30+ papers in top-tier venues including CVPR, ICCV, ECCV, and Pattern Recognition (PR)
Served as reviewer for IEEE TMI, MICCAI, ICCV, and Neurocomputing
Guest Editor for CMIG special issue on 'Trustworthy Artificial Intelligence for Medical Imaging'
Program Chair for IJCAI 2024 workshop on TAI4H
Led teams to win 10+ international medical imaging challenges, including:
- 1st place in both Track 1 and Track 2 of PHAROS-AFE-AIMI Competition @ ICCV 2025
- 1st in Track 2 and 4th in Track 1 of 4th-COV19D Competition @ CVPR 2024
- 1st in both Track 1 and Track 2 of Myopic Maculopathy Analysis Challenge @ MICCAI 2023
Selected publications:
- 'Segment Anything in Pathology Images with Natural Language' (arXiv, 2025)
- 'QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis' (IEEE TMI, 2025)
- 'Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks' (arXiv, 2024)
- 'Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis' (MICCAI 2024)
- 'Diabetic retinopathy grading with weakly-supervised lesion priors' (ICASSP 2023)
- 'Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision' (CVPR 2023)
- 'CREAM: Weakly supervised object localization via class re-activation mapping' (CVPR 2022)
Co-authors
5 total
rui feng
fudan university
Jilan Xu
Fudan University
Hao Chen
Assistant Professor, The Hong Kong University of Science and Technology
Weidi Xie
Shanghai Jiao Tong University | VGG, University of Oxford
Xiangyang Xue
Professor of Computer Science, Fudan University
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