Dan Hu
Orcid: 0000-0001-8525-3661Affiliations:
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
According to our database1,
Dan Hu authored at least 63 papers
between 2005 and 2026.
Collaborative distances:
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Bibliography
2026
Incomplete Multi-Modal Disentanglement Learning With Application to Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, February, 2026
Triplet longitudinal masked autoencoder for predicting individualized functional connectome development during infancy.
Medical Image Anal., 2026
2025
Weak galaxy object detection using improved YOLOX model with feature map knowledge distillation.
Expert Syst. Appl., 2025
Weak celestial source fringes detection based on multi-task learning and pseudo soft threshold residual denoising network.
Digit. Signal Process., 2025
Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025
Relation-Preserving Harmonization of Functional Connectivity Representation: Ensuring Local Functional, Longitudinal, and Population-Level Consistency.
Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025
Continuous Spatio-Temporal Representation with Implicit Neural Networks for Fetal Brain MRI Atlas Construction.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Mamba-Based Residual Generative Adversarial Network for Functional Connectivity Harmonization During Infancy.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Dual Multi-Atlas Representation Alignment for Brain Disorder Diagnosis Using Morphological Connectome.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Masked Momentum Contrastive Dynamic Transformer for Self-Supervised Functional Connectivity Representation Learning.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
2024
SUGAR: Spherical ultrafast graph attention framework for cortical surface registration.
Medical Image Anal., 2024
Dynamic Evolution Graph Attention Network for Semi-Supervised Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2024
Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Consecutive-Contrastive Spherical U-Net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-Duration fMRI Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2022
Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction.
IEEE Trans. Medical Imaging, 2022
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort.
NeuroImage, 2022
IEEE Geosci. Remote. Sens. Lett., 2022
Weak celestial source fringes detection based on channel attention shrinkage networks and cluster-based anchor boxes generation algorithm.
Digit. Signal Process., 2022
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Medical Image Anal., 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
Combining Graph Clustering and Quantitative Association Rules for Knowledge Discovery in Geochemical Data Problem.
IEEE Access, 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
2019
General interval approach for encoding words into interval type-2 fuzzy sets based on normal distribution and free parameter.
Soft Comput., 2019
An interval Type-2 fuzzy sets generation method for remote sensing imagery classification.
Comput. Geosci., 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
Hyperspectral Image Classification Based on Generative Adversarial Networks with Feature Fusing and Dynamic Neighborhood Voting Mechanism.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Geologic Body Classification of Hyperspectral Data Based on Dilated Convolution Neural Network at Tianshan Area.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks.
IEEE Geosci. Remote. Sens. Lett., 2018
Enhanced IT2FCM algorithm using object-based triangular fuzzy set modeling for remote-sensing clustering.
Comput. Geosci., 2018
2017
Statistical Inference in Rough Set Theory Based on Kolmogorov-Smirnov Goodness-of-Fit Test.
IEEE Trans. Fuzzy Syst., 2017
Hyperspectral Band Selection Based on Deep Convolutional Neural Network and Distance Density.
IEEE Geosci. Remote. Sens. Lett., 2017
Interval approach for encoding words into interval type-2 fuzzy sets based on normal distribution and free parameter.
Proceedings of the 13th International Conference on Natural Computation, 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
2016
Comput. Geosci., 2016
2015
Comput. Geosci., 2015
Land Cover Classification Based on Adaptive Interval-Valued Type-2 Fuzzy Clustering Analysis.
Proceedings of the Knowledge Science, Engineering and Management, 2015
2014
2013
IEEE Trans. Fuzzy Syst., 2013
A new blind image source separation algorithm based on feedback sparse component analysis.
Signal Process., 2013
Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013
2012
Sensitivity Analysis of Fuzzy Inference Neural Network and the Application in Band Selection.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012
2011
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
2010
An improved training algorithm of T-S model HHFNN based on ridge regression function.
Proceedings of the Sixth International Conference on Natural Computation, 2010
2009
A new training algorithm for HHFNN based on Gaussian membership function for approximation.
Neurocomputing, 2009
Comput. Math. Appl., 2009
2008
Sci. China Ser. F Inf. Sci., 2008
Proceedings of the PACIIA 2008, 2008
Proceedings of the PACIIA 2008, 2008
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
2005
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005