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ORCIDGeng Zhan
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2020 – today
- 2024
[j4]Lei Bai
, Dongang Wang, Hengrui Wang, Michael Barnett, Mariano Cabezas, Weidong Cai, Fernando Calamante, Kain Kyle, Dongnan Liu, Linda Ly, Aria Nguyen, Chun-Chien Shieh, Ryan Sullivan, Geng Zhan, Wanli Ouyang, Chenyu Wang:
Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. Artif. Intell. Medicine 152: 102872 (2024)- [i6]Dongang Wang, Peilin Liu, Hengrui Wang, Heidi Beadnall, Kain Kyle, Linda Ly, Mariano Cabezas, Geng Zhan, Ryan Sullivan, Tom Weidong Cai, Wanli Ouyang, Fernando Calamante, Michael Barnett, Chenyu Wang:
How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks. CoRR abs/2404.03451 (2024) - 2023
- [j3]Michael Barnett, Dongang Wang, Heidi Beadnall, Antje Bischof, David Brunacci, Helmut Butzkueven, J. William L. Brown, Mariano Cabezas, Tilak Das, Tej Dugal, Daniel Guilfoyle, Alexander Klistorner, Stephen Krieger, Kain Kyle, Linda Ly, Lynette Masters, Andy Shieh, Zihao Tang, Anneke van der Walt, Kayla Ward, Heinz Wiendl, Geng Zhan, Robert Zivadinov, Yael Barnett, Chenyu Wang:
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis. npj Digit. Medicine 6 (2023) - [c1]Geng Zhan, Jiajun Deng, Mariano Cabezas, Wanli Ouyang, Michael Barnett, Chenyu Wang:
Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 357-366 - [i5]Lei Bai, Dongang Wang, Michael Barnett, Mariano Cabezas, Weidong Cai, Fernando Calamante, Kain Kyle, Dongnan Liu, Linda Ly, Aria Nguyen, Chun-Chien Shieh, Ryan Sullivan, Hengrui Wang, Geng Zhan, Wanli Ouyang, Chenyu Wang:
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training. CoRR abs/2308.16376 (2023) - 2022
- [i4]Dongnan Liu, Mariano Cabezas, Dongang Wang, Zihao Tang, Lei Bai, Geng Zhan, Yuling Luo, Kain Kyle, Linda Ly, James Yu, Chun-Chien Shieh, Aria Nguyen, Ettikan Kandasamy Karuppiah, Ryan Sullivan, Fernando Calamante, Michael Barnett, Wanli Ouyang, Weidong Cai, Chenyu Wang:
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning. CoRR abs/2205.01509 (2022) - 2021
- [j2]Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Zhaocheng He, Bowen Du, Liang Lin:
Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 22(11): 7169-7183 (2021) - 2020
- [i3]Geng Zhan, Dan Xu, Guo Lu, Wei Wu, Chunhua Shen, Wanli Ouyang:
Scope Head for Accurate Localization in Object Detection. CoRR abs/2005.04854 (2020)
2010 – 2019
- 2019
- [j1]Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu:
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. IEEE Access 7: 174517-174530 (2019) - [i2]Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu:
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. CoRR abs/1907.09160 (2019) - [i1]Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Liang Lin:
ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction. CoRR abs/1909.02902 (2019)
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