Tao Zhong
Orcid: 0009-0004-2034-0392Affiliations:
- Southern Medical University, School of Biomedical Engineering, Guangzhou, China
According to our database1,
Tao Zhong
authored at least 16 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks.
IEEE Trans. Medical Imaging, March, 2024
A progressive framework for tooth and substructure segmentation from cone-beam CT images.
Comput. Biol. Medicine, February, 2024
nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species.
NeuroImage, 2024
A joint brain extraction and image quality assessment framework for fetal brain MRI slices.
NeuroImage, 2024
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques.
Comput. Medical Imaging Graph., 2024
2023
Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age.
NeuroImage, 2022
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort.
NeuroImage, 2022
2021
IEEE Trans. Medical Imaging, 2021
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques.
NeuroImage, 2021
Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020