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ORCIDShuai Lu 0003
Person information
- affiliation: Beijing University of Chemical Technology, Department of Mathematics, Beijing, China
Other persons with the same name
- Shuai Lu — disambiguation page
- Shuai Lv 0001
![[0000-0002-8081-4498]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8081-4498")
(aka: Shuai Lü 0001, Shuai Lu 0001) — Jilin University, Changchun, China (and 1 more) - Shuai Lu 0002 — Southeast University, School of Electrical Engineering, Nanjing, China
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2020 – today
- 2024
[j10]Shuai Lu, Weihang Zhang, Jia Guo, Hanruo Liu, Huiqi Li, Ningli Wang:
PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder. Comput. Medical Imaging Graph. 114: 102366 (2024)- [j9]Shuai Lu, Weihang Zhang, He Zhao, Hanruo Liu, Ningli Wang, Huiqi Li:
Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder. IEEE Trans. Image Process. 33: 2770-2782 (2024) - [j8]Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li:
Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images. IEEE Trans. Medical Imaging 43(3): 1102-1112 (2024) - [i5]Jia Guo, Haonan Han, Shuai Lu, Weihang Zhang, Huiqi Li:
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment. CoRR abs/2404.00724 (2024) - [i4]Jia Guo, Shuai Lu, Weihang Zhang, Huiqi Li:
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection. CoRR abs/2405.14325 (2024) - 2023
- [j7]Shuai Lu, He Zhao, Hanruo Liu, Huiqi Li, Ningli Wang:
PKRT-Net: Prior knowledge-based relation transformer network for optic cup and disc segmentation. Neurocomputing 538: 126183 (2023) - [j6]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:
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90: 102938 (2023) - [j5]Yongli Xu, Fan Meng, Hao Yang, Shuai Lu, Haihui Wang, Man Hu:
E-Net: a novel deep learning framework integrating expert knowledge for glaucoma optic disc hemorrhage segmentation. Multim. Tools Appl. 82(26): 41207-41224 (2023) - [c2]Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li:
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction. NeurIPS 2023 - [i3]Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li:
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction. CoRR abs/2306.02602 (2023) - 2022
- [i2]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:
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. CoRR abs/2202.06511 (2022) - 2021
- [j4]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:
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis. npj Digit. Medicine 4 (2021) - 2020
- [j3]Shuai Lu, Man Hu, Ruirui Li, Yong-Li Xu:
A Novel Adaptive Weighted Loss Design in Adversarial Learning for Retinal Nerve Fiber Layer Defect Segmentation. IEEE Access 8: 132348-132359 (2020) - [j2]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:
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020) - [c1]Roya Afshar, Shuai Lu:
Classification and Recognition of Space Debris and Its Pose Estimation Based on Deep Learning of CNNs. HCI (38) 2020: 605-613
2010 – 2019
- 2019
- [j1]Yong-Li Xu, Shuai Lu, Han-Xiong Li, Ruirui Li:
Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples. Sensors 19(20): 4401 (2019) - [i1]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:
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR abs/1910.03667 (2019)
Coauthor Index
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