Zihao Tang

According to our database, Zihao Tang authored at least 17 papers between 2017 and 2025.

Collaborative distances:

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

2025

From Promise to Practical Reality: Transforming Diffusion MRI Analysis with Fast Deep Learning Enhancement.

Xinyi Wang, Michael Barnett, Frederique Boonstra, Yael Barnett, Mariano Cabezas, Arkiev D'Souza, Matthew C. Kiernan, Kain Kyle, Meng Law, Lynette Masters, Zihao Tang, Stephen Tisch, Sicong Tu, Anneke van der Walt, Dongang Wang, Fernando Calamante, Weidong Cai, Chenyu Wang

CoRR, August, 2025

UFREE: Unified Fiber Orientation Distribution Resolution Enhancement.

Xinyi Wang, Kunze Wang, Zihao Tang, Mariano Cabezas, Chenyu Wang, Tom Weidong Cai

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Fibre Population-guided Pre-training for 3D Spatial Super-Resolution on Multimodal Brain Diffusion MR Imaging.

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

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

Disentanglement-Based Unsupervised Domain Adaptation for Nuclei Instance Segmentation.

Jieting Long, Dongnan Liu, Zihao Tang, Weidong Cai

Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024

Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging.

Sheng Chen, Zihao Tang, Mariano Cabezas, Xinyi Wang, Arkiev D'Souza, Michael Barnett, Fernando Calamante, Weidong Cai, Chenyu Wang

Proceedings of the Neural Information Processing - 31st International Conference, 2024

Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning.

Sheng Chen, Zihao Tang, Xinyi Wang, Chenyu Wang, Tom Weidong Cai

Proceedings of the AI 2024: Advances in Artificial Intelligence, 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

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

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

3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation.

Zihao Tang, Donghao Zhang, Yang Song, Heng Wang, Dongnan Liu, Chaoyi Zhang, Siqi Liu, Hanchuan Peng, Weidong Cai

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 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

2017

Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing.

Zihao Tang, Donghao Zhang, Siqi Liu, Yang Song, Hanchuan Peng, Weidong Cai

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017