Zhengwang Wu

Orcid: 0000-0003-4436-9005

According to our database1, Zhengwang Wu authored at least 83 papers between 2008 and 2024.

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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

2023
Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network.
Pattern Recognit., November, 2023

An attention-based context-informed deep framework for infant brain subcortical segmentation.
NeuroImage, April, 2023

Early Autism Diagnosis based on Path Signature and Siamese Unsupervised Feature Compressor.
CoRR, 2023

Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Deformable Spherical Transformer for Cerebellar Surface Parcellation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images.
IEEE Trans. Medical Imaging, 2022

Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction.
IEEE Trans. Medical Imaging, 2022

Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores.
IEEE Trans. Medical Imaging, 2022

A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling.
Pattern Recognit., 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

Fast Spherical Mapping of Cortical Surface Meshes Using Deep Unsupervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Spherical Transformer on Cortical Surfaces.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Harmonization of Multi-site Cortical Data Across the Human Lifespan.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Spherical Transformer for Quality Assessment of Pediatric Cortical Surfaces.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
S3Reg: Superfast Spherical Surface Registration Based on Deep Learning.
IEEE Trans. Medical Imaging, 2021

Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction.
IEEE Trans. Medical Imaging, 2021

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
IEEE Trans. Medical Imaging, 2021

DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques.
NeuroImage, 2021

The maturation and cognitive relevance of structural brain network organization from early infancy to childhood.
NeuroImage, 2021

ABCnet: Adversarial bias correction network for infant brain MR images.
Medical Image Anal., 2021

Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Deep Network for Joint Registration and Parcellation of Cortical Surfaces.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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

Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages.
IEEE Trans. Medical Imaging, 2020

Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features.
IEEE J. Biomed. Health Informatics, 2020

Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images.
Pattern Recognit., 2020

Learning longitudinal classification-regression model for infant hippocampus segmentation.
Neurocomputing, 2020

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
CoRR, 2020

Unsupervised Learning for Spherical Surface Registration.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Construction of Spatiotemporal Infant Cortical Surface Functional Templates.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning.
IEEE Trans. Medical Imaging, 2019

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.
NeuroImage, 2019

Computational neuroanatomy of baby brains: A review.
NeuroImage, 2019

Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications.
NeuroImage, 2019

Surface-constrained volumetric registration for the early developing brain.
Medical Image Anal., 2019

Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images.
CoRR, 2019

Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Automated Parcellation of the Cortex Using Structural Connectome Harmonics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Spherical U-Net For Infant Cortical Surface Parcellation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Cortical Foldingprints for Infant Identification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Spherical U-Net on Cortical Surfaces: Methods and Applications.
Proceedings of the Information Processing in Medical Imaging, 2019

Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants.
Medical Image Anal., 2018

Segmenting hippocampal subfields from 3T MRI with multi-modality images.
Medical Image Anal., 2018

Robust brain ROI segmentation by deformation regression and deformable shape model.
Medical Image Anal., 2018

Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Construction of spatiotemporal infant cortical surface atlas of rhesus macaque.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2015
Exact solution to median surface problem using 3D graph search and application to parameter space exploration.
Pattern Recognit., 2015

Efficient block-wise temporally consistent contour extraction in image sequences.
Neurocomputing, 2015

2013
Exact Computation of Median Surfaces Using Optimal 3D Graph Search.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

2011
3D facial mesh detection using geometric saliency of surface.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

2008
A Face Cartoon Producer for Digital Content Service.
Proceedings of the Mobile Multimedia Processing: Fundamentals, 2008


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