Geng Zhan

According to our database, Geng Zhan authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks.

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

CoRR, 2024

Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training.

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

Artif. Intell. Medicine, 2024

2023

A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis.

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

npj Digit. Medicine, 2023

Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion Segmentation.

Geng Zhan, Jiajun Deng, Mariano Cabezas, Wanli Ouyang, Michael Barnett, Chenyu Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning.

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

CoRR, 2022

2021

Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction.

Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Zhaocheng He, Bowen Du, Liang Lin

IEEE Trans. Intell. Transp. Syst., 2021

2020

Scope Head for Accurate Localization in Object Detection.

Geng Zhan, Dan Xu, Guo Lu, Wei Wu, Chunhua Shen, Wanli Ouyang

CoRR, 2020

2019

ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction.

Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Liang Lin

CoRR, 2019

Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition.

Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu

IEEE Access, 2019