2025
EM-Trans: Edge-Aware Multimodal Transformer for RGB-D Salient Object Detection.
IEEE Trans. Neural Networks Learn. Syst., February, 2025
Lightweight Image Deblurring via Recurrent Gated Attention and Efficient Decoupling.
IEEE Trans. Circuits Syst. Video Technol., February, 2025
Edge-aware Feature Aggregation Network for Polyp Segmentation.
Mach. Intell. Res., February, 2025
NRD-Net: Non-local Residual Dense Network for Brain MR Image Super-Resolution.
Int. J. Imaging Syst. Technol., January, 2025
Intelligent fault diagnosis of rotating machine via Expansive dual-attention fusion Transformer enhanced by semi-supervised learning.
Expert Syst. Appl., 2025
2024
Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification.
IEEE J. Biomed. Health Informatics, October, 2024
Uncertainty-Aware Hierarchical Aggregation Network for Medical Image Segmentation.
IEEE Trans. Circuits Syst. Video Technol., August, 2024
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans With Guidance From High-Quality Isotropic Volumes.
IEEE Trans. Biomed. Eng., April, 2024
Image Recovery Matters: A Recovery-Extraction Framework for Robust Fetal Brain Extraction From MR Images.
IEEE J. Biomed. Health Informatics, February, 2024
Fusion-Embedding Siamese Network for Light Field Salient Object Detection.
IEEE Trans. Multim., 2024
A novel non-pretrained deep supervision network for polyp segmentation.
Pattern Recognit., 2024
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios.
CoRR, 2024
MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer.
CoRR, 2024
One model, two brains: Automatic fetal brain extraction from MR images of twins.
Comput. Medical Imaging Graph., 2024
Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024
Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Cross-Atlas Brain Connectivity Mapping with Dual-Conditional Diffusion Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Scalable and Efficient Multigraph Integration with Sparse-Clustered Deep Graph Normalization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Decoding White Matter Fiber ODFs: A Mixture Learning Framework in x-q Space.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Multi-Modal Brain Graph Learning of Shared-Specific Features for Schizophrenia Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Unsupervised Super-Resolution of Diffusion-Weighted Images via Deep Diffusion Prior.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Federated adaptive reweighting for medical image classification.
Pattern Recognit., December, 2023
Hierarchical cumulative network for unsupervised medical image registration.
Comput. Biol. Medicine, December, 2023
Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces.
IEEE Trans. Medical Imaging, November, 2023
Improved polar complex exponential transform for robust local image description.
Pattern Recognit., November, 2023
Multimodal Transformer for Accelerated MR Imaging.
IEEE Trans. Medical Imaging, October, 2023
Automatic Schelling Point Detection From Meshes.
IEEE Trans. Vis. Comput. Graph., June, 2023
Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions.
Medical Image Anal., April, 2023
BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series.
Comput. Biol. Medicine, March, 2023
Specificity-preserving RGB-D saliency detection.
Comput. Vis. Media, 2023
Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection.
CoRR, 2023
Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge.
Proceedings of the Information Processing in Medical Imaging, 2023
Dichotomous Image Segmentation with Frequency Priors.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
2022
Marine Animal Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2022
Camouflaged Object Detection via Context-Aware Cross-Level Fusion.
IEEE Trans. Circuits Syst. Video Technol., 2022
BSCA-Net: Bit Slicing Context Attention network for polyp segmentation.
Pattern Recognit., 2022
Video Polyp Segmentation: A Deep Learning Perspective.
Int. J. Autom. Comput., 2022
Video Polyp Segmentation: A Deep Learning Perspective.
CoRR, 2022
DC<sup>2</sup>U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net.
Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022
Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
EF-Net: A novel enhancement and fusion network for RGB-D saliency detection.
Pattern Recognit., 2021
Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering.
Medical Image Anal., 2021
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework.
Medical Image Anal., 2021
BCNet: Bidirectional collaboration network for edge-guided salient object detection.
Neurocomputing, 2021
Towards accurate RGB-D saliency detection with complementary attention and adaptive integration.
Neurocomputing, 2021
Accelerated Multi-Modal MR Imaging with Transformers.
CoRR, 2021
Learning Synergistic Attention for Light Field Salient Object Detection.
CoRR, 2021
Progressively Normalized Self-Attention Network for Video Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Context-aware Cross-level Fusion Network for Camouflaged Object Detection.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Specificity-preserving RGB-D Saliency Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Learning Synergistic Attention for Light Field Salient Object Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
24-shell diffusion MRI data.
Dataset, June, 2020
24-shell diffusion MRI data.
Dataset, June, 2020
24-shell diffusion MRI data.
Dataset, June, 2020
Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis.
IEEE Trans. Medical Imaging, 2020
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging.
IEEE Trans. Medical Imaging, 2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images.
IEEE Trans. Medical Imaging, 2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans.
CoRR, 2020
Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE).
CoRR, 2020
PraNet: Parallel Reverse Attention Network for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Automatic Polyp Segmentation via Parallel Reverse Attention Network.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020
MAS3K: An Open Dataset for Marine Animal Segmentation.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2020
2019
Multi-Site Harmonization of Diffusion MRI Data via Method of Moments.
IEEE Trans. Medical Imaging, 2019
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks.
IEEE Trans. Medical Imaging, 2019
Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space.
IEEE Trans. Medical Imaging, 2019
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.
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NeuroImage, 2019
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation.
Medical Image Anal., 2019
Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space.
Medical Image Anal., 2019
XQ-SR: Joint <i>x</i>-<i>q</i> space super-resolution with application to infant diffusion MRI.
Medical Image Anal., 2019
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data.
Proceedings of the Information Processing in Medical Imaging, 2019
2018
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space.
Frontiers Neuroinformatics, 2018
2017
Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.
NeuroImage, 2017
Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
q-Space Upsampling Using x-q Space Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Denoising magnetic resonance images using collaborative non-local means.
Neurocomputing, 2016
Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning.
Frontiers Neuroinformatics, 2016
Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Block-Based Statistics for Robust Non-parametric Morphometry.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Collaborative non-local means denoising of magnetic resonance images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015