REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (CoRR, 2019)

Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples. - Yong-Li Xu; Shuai Lu 003; Han-Xiong Li; Ruirui Li 001 (Sensors, 2019)

Classification and Recognition of Space Debris and Its Pose Estimation Based on Deep Learning of CNNs. - Roya Afshar; Shuai Lu 003 (HCI (38), 2020)

A Novel Adaptive Weighted Loss Design in Adversarial Learning for Retinal Nerve Fiber Layer Defect Segmentation. - Shuai Lu 003; Man Hu 003; Ruirui Li 001; Yong-Li Xu (IEEE Access, 2020)

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (Medical Image Anal., 2020)

A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis. - Yongli Xu; Man Hu 003; Hanruo Liu; Hao Yang 008; Huaizhou Wang; Shuai Lu 003; Tianwei Liang; Xiaoxing Li; Mai Xu; Liu Li; Huiqi Li; Xin Ji; et al. (npj Digit. Medicine, 2021)

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Lexing Huang; Qinji Yu; Sifan Song; Xingxing Xu; Yanyu Xu; Wensai Wang; et al. (CoRR, 2022)

ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction. - Jia Guo; Shuai Lu 003; Lize Jia; Weihang Zhang; Huiqi Li (NeurIPS, 2023)

PKRT-Net: Prior knowledge-based relation transformer network for optic cup and disc segmentation. - Shuai Lu 003; He Zhao 002; Hanruo Liu; Huiqi Li; Ningli Wang (Neurocomputing, 2023)

E-Net: a novel deep learning framework integrating expert knowledge for glaucoma optic disc hemorrhage segmentation. - Yongli Xu; Fan Meng; Hao Yang 008; Shuai Lu 003; Haihui Wang; Man Hu 003 (Multim. Tools Appl., 2023)

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Yue Huang 001; Qinji Yu; Sifan Song; Xinxing Xu; Yanyu Xu; Wensai Wang; et al. (Medical Image Anal., 2023)

PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder. - Shuai Lu 003; Weihang Zhang; Jia Guo; Hanruo Liu; Huiqi Li; Ningli Wang (Comput. Medical Imaging Graph., 2024)

Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment. - Jia Guo; Haonan Han; Shuai Lu 003; Weihang Zhang; Huiqi Li (CoRR, 2024)

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection. - Jia Guo; Shuai Lu 003; Weihang Zhang; Huiqi Li (CoRR, 2024)

Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder. - Shuai Lu 003; Weihang Zhang; He Zhao 002; Hanruo Liu; Ningli Wang; Huiqi Li (IEEE Trans. Image Process., 2024)

Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images. - Jia Guo; Shuai Lu 003; Lize Jia; Weihang Zhang; Huiqi Li (IEEE Trans. Medical Imaging, 2024)

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection. - Jia Guo; Shuai Lu 003; Weihang Zhang; Fang Chen 007; Huiqi Li; Hongen Liao (CVPR, 2025)

General retinal layer segmentation in OCT images via reinforcement constraint. - Jinbao Hao; Huiqi Li; Shuai Lu 003; Zeheng Li; Weihang Zhang (Comput. Medical Imaging Graph., 2025)

CLIPin: A Non-contrastive Plug-in to CLIP for Multimodal Semantic Alignment. - Shengzhu Yang; Jiawei Du; Shuai Lu 003; Weihang Zhang; Ningli Wang; Huiqi Li (CoRR, 2025)