Zhengwang Wu
Orcid: 0000-0003-4436-9005
According to our database1,
Zhengwang Wu
authored at least 91 papers
between 2008 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer.
Medical Image Anal., 2025
2024
PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks.
IEEE Trans. Medical Imaging, March, 2024
Longitudinally consistent registration and parcellation of cortical surfaces using semi-supervised learning.
Medical Image Anal., 2024
CoRR, 2024
Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Generation of Anatomy-Realistic 4d Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 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
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
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
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
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
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
IEEE Trans. Medical Imaging, 2021
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction.
IEEE Trans. Medical Imaging, 2021
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
Medical Image Anal., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
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
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
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
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
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
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
Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications.
NeuroImage, 2019
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
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
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
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
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
Medical Image Anal., 2018
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
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
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
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
Neurocomputing, 2015
2013
Proceedings of the Graph-Based Representations in Pattern Recognition, 2013
2011
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011
2008
Proceedings of the Mobile Multimedia Processing: Fundamentals, 2008