Junlin Hou

According to our database, Junlin Hou authored at least 47 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation.

Zhengrui Guo, Zhengyu Zhang, Jiabo Ma, Yihui Wang, Fengtao Zhou, Yingxue Xu, Ling Liang, Chenglong Zhao, Qi Xie, Jinbang Li, Shujing Guo, Fangyi Han, Zhijian Cen, Ziyi Liu, Cheng Jin, Junlin Hou, Zhixuan Chen, Yu Cai, Lijuan Qu, Shifu Chen, Yueping Liu, Zhe Wang, Xiuming Zhang, Muyan Cai, Li Liang, Hao Chen

CoRR, May, 2026

Vision-Language Model Based Multi-Expert Fusion for CT Image Classification.

Jianfa Bai, Kejin Lu, Runtian Yuan, Qingqiu Li, Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng

CoRR, March, 2026

Clinical Priors Guided Lung Disease Detection in 3D CT Scans.

Kejin Lu, Jianfa Bai, Qingqiu Li, Runtian Yuan, Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng

CoRR, March, 2026

Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers.

Andreas S. Panayides, Hao Chen, Nenad D. Filipovic, Tijana Geroski, Junlin Hou, Karim Lekadir, Kostas Marias, George K. Matsopoulos, Giorgos Papanastasiou, Pinaki Sarder, Georgia D. Tourassi, Sotirios A. Tsaftaris, Huazhu Fu, Efthyvoulos C. Kyriacou, Christos P. Loizou, Michalis E. Zervakis, Joel H. Saltz, Farah E. Shamout, Ken C. L. Wong, Jianhua Yao, Amir A. Amini, Dimitrios I. Fotiadis, Constantinos S. Pattichis, Marios S. Pattichis

IEEE J. Biomed. Health Informatics, February, 2026

Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement.

Yuhan Wei, Yuting He, Linshan Wu, Fuxiang Huang, Junlin Hou, Hao Chen

CoRR, February, 2026

Benchmarking real-world medical image classification with noisy labels: Challenges, practice, and outlook.

Yuan Ma, Junlin Hou, Chao Zhang, Yukun Zhou, Zongyuan Ge, Haoran Xie, Lie Ju

Pattern Recognit., 2026

Integrating Multi-Modal Fundus Photography for Precision Diagnosis in Ophthalmology.

Fan Xiao, Junlin Hou, Yiqian Xu, Ruiwei Zhao, Haidong Zou, Lina Lu, Yi Xu, Juzhao Zhang, Rui Feng

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Foundation Model Enhanced Hierarchical Learning for White Blood Cell Classification.

Fan Xiao, Zirui Chen, Jilan Xu, Junlin Hou

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

A Versatile Foundation Model for AI-enabled Mammogram Interpretation.

Fuxiang Huang, Jiayi Zhu, Yunfang Yu, Yu Xie, Yuan Guo, Qingcong Kong, Mingxiang Wu, Xinrui Jiang, Shu Yang, Jiabo Ma, Ziyi Liu, Zhe Xu, Zhixuan Chen, Yujie Tan, Zifan He, Luhui Mao, Xi Wang, Junlin Hou, Lei Zhang, Qiong Luo, Zhenhui Li, Herui Yao, Hao Chen

CoRR, September, 2025

Solutions for Mitotic Figure Detection and Atypical Classification in MIDOG 2025.

Shuting Xu, Runtong Liu, Zhixuan Chen, Junlin Hou, Hao Chen

CoRR, September, 2025

A Unified Low-level Foundation Model for Enhancing Pathology Image Quality.

Ziyi Liu, Zhe Xu, Jiabo Ma, Wenqaing Li, Junlin Hou, Fuxiang Huang, Xi Wang, Ronald Cheong Kin Chan, Terence Tsz Wai Wong, Hao Chen

CoRR, September, 2025

QMix: Quality-Aware Learning With Mixed Noise for Robust Retinal Disease Diagnosis.

Junlin Hou, Jilan Xu, Rui Feng, Hao Chen

IEEE Trans. Medical Imaging, August, 2025

A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Model.

Zhe Xu, Ziyi Liu, Junlin Hou, Jiabo Ma, Cheng Jin, Yihui Wang, Zhixuan Chen, Zhengyu Zhang, Zhengrui Guo, Fengtao Zhou, Yingxue Xu, Xi Wang, Ronald Cheong Kin Chan, Li Liang, Hao Chen

CoRR, July, 2025

Segment Anything in Pathology Images with Natural Language.

Zhixuan Chen, Junlin Hou, Liqi Lin, Yihui Wang, Yequan Bie, Xi Wang, Yanning Zhou, Ronald Cheong Kin Chan, Hao Chen

CoRR, June, 2025

MOSMOS: Multi-organ segmentation facilitated by medical report supervision.

Weiwei Tian, Xinyu Huang, Junlin Hou, Caiyue Ren, Longquan Jiang, Rui-Wei Zhao, Gang Jin, Yuejie Zhang, Daoying Geng

Biomed. Signal Process. Control., 2025

Explain Any Pathological Concept: Discovering Hierarchical Explanations for Pathology Foundation Models.

Shuting Xu, Junlin Hou, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos.

Jilan Xu, Yifei Huang, Baoqi Pei, Junlin Hou, Qingqiu Li, Guo Chen, Yuejie Zhang, Rui Feng, Weidi Xie

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Multi-Source Covid-19 Detection via Variance Risk Extrapolation.

Runtian Yuan, Qingqiu Li, Junlin Hou, Jilan Xu, Yuejie Zhang, Rui Feng, Hao Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Advancing Lung Disease Diagnosis in 3D CT Scans.

Qingqiu Li, Runtian Yuan, Junlin Hou, Jilan Xu, Yuejie Zhang, Rui Feng, Hao Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images.

Bo Qian, Hao Chen, Xiangning Wang, Zhouyu Guan, Tingyao Li, Yixiao Jin, Yilan Wu, Yang Wen, Haoxuan Che, Gitaek Kwon, Jaeyoung Kim, Sungjin Choi, Seoyoung Shin, Felix Krause, Markus Unterdechler, Junlin Hou, Rui Feng, Yihao Li, Mostafa El Habib Daho, Dawei Yang, Bin Sheng

Patterns, March, 2024

Cross-Fundus Transformer for Multi-modal Diabetic Retinopathy Grading with Cataract.

Fan Xiao, Junlin Hou, Ruiwei Zhao, Rui Feng, Haidong Zou, Lina Lu, Yi Xu, Juzhao Zhang

CoRR, 2024

Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis.

Hongmei Wang, Junlin Hou, Hao Chen

CoRR, 2024

Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks.

Junlin Hou, Sicen Liu, Yequan Bie, Hongmei Wang, Andong Tan, Luyang Luo, Hao Chen

CoRR, 2024

Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis.

Junlin Hou, Jilan Xu, Hao Chen

CoRR, 2024

Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis.

Junlin Hou, Jilan Xu, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Cross-Image Distillation for Semi-Supervised Semantic Segmentation.

Nan Zhang, Fan Xiao, Junlin Hou, Ruiwei Zhao, Xiaobo Zhang, Rui Feng

Proceedings of the IEEE International Conference on Acoustics, 2024

Domain Adaptation Using Pseudo Labels for COVID-19 Detection.

Runtian Yuan, Qingqiu Li, Junlin Hou, Jilan Xu, Yuejie Zhang, Rui Feng, Hao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Retrieval-Augmented Egocentric Video Captioning.

Jilan Xu, Yifei Huang, Junlin Hou, Guo Chen, Yuejie Zhang, Rui Feng, Weidi Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Advancing COVID-19 Detection in 3D CT Scans.

Qingqiu Li, Runtian Yuan, Junlin Hou, Jilan Xu, Yuejie Zhang, Rui Feng, Hao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images.

Bo Qian, Hao Chen, Xiangning Wang, Haoxuan Che, Gitaek Kwon, Jaeyoung Kim, Sungjin Choi, Seoyoung Shin, Felix Krause, Markus Unterdechler, Junlin Hou, Rui Feng, Yihao Li, Mostafa El Habib Daho, Qiang Wu, Ping Zhang, Xiaokang Yang, Yiyu Cai, Weiping Jia, Huating Li, Bin Sheng

CoRR, 2023

Ensemble Deep Learning Approaches for Myopic Maculopathy Plus Lesions Segmentation.

Fan Xiao, Junlin Hou, Jilan Xu, Yiqian Xu, Bo Zhang, Yuejie Zhang, Haidong Zou, Rui Feng

Proceedings of the Myopic Maculopathy Analysis, 2023

Towards Label-Efficient Deep Learning for Myopic Maculopathy Classification.

Junlin Hou, Jilan Xu, Fan Xiao, Bo Zhang, Yiqian Xu, Yuejie Zhang, Haidong Zou, Rui Feng

Proceedings of the Myopic Maculopathy Analysis, 2023

Diabetic Retinopathy Grading with Weakly-Supervised Lesion Priors.

Junlin Hou, Fan Xiao, Jilan Xu, Rui Feng, Yue Zhang, Haidong Zou, Lina Lu, Wenwen Xue

Proceedings of the IEEE International Conference on Acoustics, 2023

Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision.

Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Yi Wang, Yu Qiao, Weidi Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors.

Junlin Hou, Jilan Xu, Nan Zhang, Yi Wang, Yuejie Zhang, Xiaobo Zhang, Rui Feng

CoRR, 2022

FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysis.

Junlin Hou, Jilan Xu, Rui Feng, Yuejie Zhang

CoRR, 2022

Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images.

Junlin Hou, Fan Xiao, Jilan Xu, Yuejie Zhang, Haidong Zou, Rui Feng

Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

Boosting COVID-19 Severity Detection with Infection-Aware Contrastive Mixup Classification.

Junlin Hou, Jilan Xu, Nan Zhang, Yuejie Zhang, Xiaobo Zhang, Rui Feng

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

CMC_v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors.

Junlin Hou, Jilan Xu, Nan Zhang, Yi Wang, Yuejie Zhang, Xiaobo Zhang, Rui Feng

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping.

Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images.

Junlin Hou, Jilan Xu, Fan Xiao, Rui-Wei Zhao, Yuejie Zhang, Haidong Zou, Lina Lu, Wenwen Xue, Rui Feng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Periphery-aware COVID-19 diagnosis with contrastive representation enhancement.

Junlin Hou, Jilan Xu, Longquan Jiang, Shanshan Du, Rui Feng, Yuejie Zhang, Fei Shan, Xiangyang Xue

Pattern Recognit., 2021

Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification.

Jiawang Cao, Lulu Jiang, Junlin Hou, Longquan Jiang, Rui-Wei Zhao, Weiya Shi, Fei Shan, Rui Feng

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis.

Junlin Hou, Jilan Xu, Rui Feng, Yuejie Zhang, Fei Shan, Weiya Shi

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Semi-supervised Medical Image Segmentation with Distribution Calibration and Non-local Semantic Constraint.

Nan Zhang, Junlin Hou, Rui-Wei Zhao, Rui Feng, Yuejie Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Fuzzy Graph Neural Network for Few-Shot Learning.

Tong Wei, Junlin Hou, Rui Feng

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Data-Efficient Histopathology Image Analysis with Deformation Representation Learning.

Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Chunyang Ruan, Tao Zhang, Weiguo Fan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020