Michael Barnett

According to our database, Michael Barnett authored at least 15 papers between 2018 and 2023.

Collaborative distances:

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

2023

Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement.

Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Tom Weidong Cai

IEEE Trans. Multim., 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

Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training.

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

CoRR, 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

Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI.

Sheng Chen, Zihao Tang, Dongnan Liu, Ché Fornusek, Michael Barnett, Chenyu Wang, Mariano Cabezas, Weidong Cai

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications.

Yang Ma, Chaoyi Zhang, Mariano Cabezas, Yang Song, Zihao Tang, Dongnan Liu, Weidong Cai, Michael Barnett, Chenyu Wang

IEEE J. Biomed. Health Informatics, 2022

FOD-Net: A deep learning method for fiber orientation distribution angular super resolution.

Rui Zeng, Jinglei Lv, He Wang, Luping Zhou, Michael Barnett, Fernando Calamante, Chenyu Wang

Medical Image Anal., 2022

TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging.

Zihao Tang, Xinyi Wang, Lihaowen Zhu, Mariano Cabezas, Dongnan Liu, Michael Barnett, Weidong Cai, Chenyu Wang

CoRR, 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

Diffusion MRI Fibre Orientation Distribution Inpainting.

Zihao Tang, Xinyi Wang, Mariano Cabezas, Arkiev D'Souza, Fernando Calamante, Dongnan Liu, Michael Barnett, Chenyu Wang, Tom Weidong Cai

Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022

2021

LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting.

Zihao Tang, Mariano Cabezas, Dongnan Liu, Michael Barnett, Weidong Cai, Chenyu Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Masked Multi-Task Network for Case-Level Intracranial Hemorrhage Classification in Brain CT Volumes.

Dongang Wang, Chenyu Wang, Lynette Masters, Michael Barnett

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Multiple Sclerosis Lesion Filling Using a Non-lesion Attention Based Convolutional Network.

Hao Xiong, Chaoyue Wang, Michael Barnett, Chenyu Wang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2018

Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Images.

Zihao Tang, Chenyu Wang, Phu Hoang, Sidong Liu, Weidong Cai, Domenic Soligo, Ruth Oliver, Michael Barnett, Ché Fornusek

Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

MS-GAN: GAN-Based Semantic Segmentation of Multiple Sclerosis Lesions in Brain Magnetic Resonance Imaging.

Chaoyi Zhang, Yang Song, Sidong Liu, Scott Lill, Chenyu Wang, Zihao Tang, Yuyi You, Yang Gao, Alexander Klistorner, Michael Barnett, Weidong Cai

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018