Shuai Lu

According to our database, Shuai Lu authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images.

Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li

IEEE Trans. Medical Imaging, March, 2024

Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder.

Shuai Lu, Weihang Zhang, He Zhao, Hanruo Liu, Ningli Wang, Huiqi Li

IEEE Trans. Image Process., 2024

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection.

Jia Guo, Shuai Lu, Weihang Zhang, Huiqi Li

CoRR, 2024

Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment.

Jia Guo, Haonan Han, Shuai Lu, Weihang Zhang, Huiqi Li

CoRR, 2024

PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder.

Shuai Lu, Weihang Zhang, Jia Guo, Hanruo Liu, Huiqi Li, Ningli Wang

Comput. Medical Imaging Graph., 2024

2023

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges.

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

Medical Image Anal., December, 2023

E-Net: a novel deep learning framework integrating expert knowledge for glaucoma optic disc hemorrhage segmentation.

Yongli Xu, Fan Meng, Hao Yang, Shuai Lu, Haihui Wang, Man Hu

Multim. Tools Appl., November, 2023

PKRT-Net: Prior knowledge-based relation transformer network for optic cup and disc segmentation.

Shuai Lu, He Zhao, Hanruo Liu, Huiqi Li, Ningli Wang

Neurocomputing, June, 2023

ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction.

Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges.

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

CoRR, 2022

2021

A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis.

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

npj Digit. Medicine, 2021

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, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic

Medical Image Anal., 2020

A Novel Adaptive Weighted Loss Design in Adversarial Learning for Retinal Nerve Fiber Layer Defect Segmentation.

Shuai Lu, Man Hu, Ruirui Li, Yong-Li Xu

IEEE Access, 2020

Classification and Recognition of Space Debris and Its Pose Estimation Based on Deep Learning of CNNs.

Roya Afshar, Shuai Lu

Proceedings of the HCI International 2020 - Posters - 22nd International Conference, 2020

2019

Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples.

Yong-Li Xu, Shuai Lu, Han-Xiong Li, Ruirui Li

Sensors, 2019

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, 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

CoRR, 2019