Shuai Lu

24 papers A* 2Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge.
CoRR
Shuai Lu, Meng Wang, Jia Guo, Jiawei Du, Bo Liu, Shengzhu Yang, Weihang Zhang, Huazhu Fu, Huiqi Li
2025 J jnl
An intelligent decision-making system integrating knowledge and data for image-based medical diagnosis.
J. Big Data
Yongli Xu, Hanruo Liu, Wenxuan Zhang, Run Sun, Fan Meng, Huaizhou Wang, Shuai Lu, Jie He, Robert N. Weinreb, Li Li, Ningli Wang, Man Hu
2025 J jnl
CLIPin: A Non-contrastive Plug-in to CLIP for Multimodal Semantic Alignment.
CoRR
Shengzhu Yang, Jiawei Du, Shuai Lu, Weihang Zhang, Ningli Wang, Huiqi Li
2025 A* conf
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection.
CVPR
Jia Guo, Shuai Lu, Weihang Zhang, Fang Chen, Huiqi Li, Hongen Liao
2025 J jnl
General retinal layer segmentation in OCT images via reinforcement constraint.
Comput. Medical Imaging Graph.
Jinbao Hao, Huiqi Li, Shuai Lu, Zeheng Li, Weihang Zhang
2025 J jnl
Native Intelligence Emerges from Large-Scale Clinical Practice: A Retinal Foundation Model with Deployment Efficiency.
CoRR
Jia Guo, Jiawei Du, Shengzhu Yang, Shuai Lu, Wenquan Cheng, Kaiwen Zhang, Yihua Sun, Chuhong Yang, Weihang Zhang, Fang Chen, Yilan Wu, Lie Ju, Guochen Ning, Longfei Ma, Huiping Yao, Jinyuan Wang, Peilun Shi, Yukun Zhou, Jie Xu, Pearse A. Keane, Hanruo Liu, Hongen Liao, Ningli Wang, Huiqi Li
2025 J jnl
One Dinomaly2 Detect Them All: A Unified Framework for Full-Spectrum Unsupervised Anomaly Detection.
CoRR
Jia Guo, Shuai Lu, Lei Fan, Zelin Li, Donglin Di, Yang Song, Weihang Zhang, Wenbing Zhu, Hong Yan, Fang Chen, Huiqi Li, Hongen Liao
2024 J jnl
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment.
CoRR
Jia Guo, Haonan Han, Shuai Lu, Weihang Zhang, Huiqi Li
2024 J jnl
Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder.
IEEE Trans. Image Process.
Shuai Lu, Weihang Zhang, He Zhao, Hanruo Liu, Ningli Wang, Huiqi Li
2024 J jnl
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection.
CoRR
Jia Guo, Shuai Lu, Weihang Zhang, Huiqi Li
2024 J jnl
Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images.
IEEE Trans. Medical Imaging
Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li
2024 J jnl
PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder.
Comput. Medical Imaging Graph.
Shuai Lu, Weihang Zhang, Jia Guo, Hanruo Liu, Huiqi Li, Ningli Wang
2023 J jnl
E-Net: a novel deep learning framework integrating expert knowledge for glaucoma optic disc hemorrhage segmentation.
Multim. Tools Appl.
Yongli Xu, Fan Meng, Hao Yang, Shuai Lu, Haihui Wang, Man Hu
2023 J jnl
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges.
Medical Image Anal.
Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu
2023 J jnl
PKRT-Net: Prior knowledge-based relation transformer network for optic cup and disc segmentation.
Neurocomputing
Shuai Lu, He Zhao, Hanruo Liu, Huiqi Li, Ningli Wang
2023 A* conf
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction.
NeurIPS
Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li
2023 J jnl
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction.
CoRR
Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li
2022 J jnl
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges.
CoRR
Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xingxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu
2021 J jnl
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis.
npj Digit. Medicine
Yongli Xu, Man Hu, Hanruo Liu, Hao Yang, Huaizhou Wang, Shuai Lu, Tianwei Liang, Xiaoxing Li, Mai Xu, Liu Li, Huiqi Li, Xin Ji, Zhijun Wang, Li Li, Robert N. Weinreb, Ningli Wang
2020 J jnl
A Novel Adaptive Weighted Loss Design in Adversarial Learning for Retinal Nerve Fiber Layer Defect Segmentation.
IEEE Access
Shuai Lu, Man Hu, Ruirui Li, Yong-Li Xu
2020 — conf
Classification and Recognition of Space Debris and Its Pose Estimation Based on Deep Learning of CNNs.
HCI (38)
Roya Afshar, Shuai Lu
2020 J jnl
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.
Medical Image Anal.
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, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic
2019 J jnl
Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples.
Sensors
Yong-Li Xu, Shuai Lu, Han-Xiong Li, Ruirui Li
2019 J jnl
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs.
CoRR
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, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic