2025
Attention-Based Q-Space Deep Learning Generalized for Accelerated Diffusion Magnetic Resonance Imaging.
IEEE J. Biomed. Health Informatics, February, 2025
HMDA: A Hybrid Model With Multi-Scale Deformable Attention for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, February, 2025
An extragradient and noise-tuning adaptive iterative network for diffusion MRI-based microstructural estimation.
Medical Image Anal., 2025
Anatomy-guided slice-description interaction for multimodal brain disease diagnosis based on 3D image and radiological report.
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Comput. Medical Imaging Graph., 2025
2024
Multi-Task Collaborative Pre-Training and Adaptive Token Selection: A Unified Framework for Brain Representation Learning.
IEEE J. Biomed. Health Informatics, September, 2024
SiMix: A domain generalization method for cross-site brain MRI harmonization via site mixing.
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NeuroImage, 2024
Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging.
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NeuroImage, 2024
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report.
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Medical Image Anal., 2024
DATTA: Towards Diversity Adaptive Test-Time Adaptation in Dynamic Wild World.
CoRR, 2024
Discover Your Neighbors: Advanced Stable Test-Time Adaptation in Dynamic World.
CoRR, 2024
Advancing Brain Tumor Inpainting with Generative Models.
CoRR, 2024
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts.
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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Improved Stroke Lesion Segmentation via Cross-Model Knowledge Distillation.
Proceedings of the Image Analysis in Stroke Diagnosis and Interventions, 2024
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Intracranial Steno-Occlusive Lesion Detection on Magnetic Resonance Angiography Images.
Proceedings of the 2024 16th International Conference on Bioinformatics and Biomedical Technology, 2024
MedMM: A Multimodal Fusion Framework for 3D Medical Image Classification with Multigranular Text Guidance.
Proceedings of the 10th International Conference on Big Data Computing and Communications, 2024
2023
One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer.
Medical Image Anal., December, 2023
CarveMix: A simple data augmentation method for brain lesion segmentation.
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NeuroImage, May, 2023
A microstructure estimation Transformer inspired by sparse representation for diffusion MRI.
Medical Image Anal., May, 2023
Unsupervised Brain Tumor Segmentation with Image-based Prompts.
CoRR, 2023
Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes.
CoRR, 2023
Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations.
CoRR, 2023
A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images.
Proceedings of the Medical Imaging with Deep Learning, 2023
AUA-dE: An Adaptive Uncertainty Guided Attention for Diffusion MRI Models Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Source-Free Domain Adaptation for Medical Image Segmentation via Selectively Updated Mean Teacher.
Proceedings of the Information Processing in Medical Imaging, 2023
Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap.
Proceedings of the Information Processing in Medical Imaging, 2023
Measurements of Complexity in Vehicle Dashboards: Revision and Validation of the Perceived Visual Complexity Scale.
Proceedings of the Human-Computer Interaction, 2023
2022
Volumetric segmentation of white matter tracts with label embedding.
NeuroImage, 2022
A transfer learning approach to few-shot segmentation of novel white matter tracts.
Medical Image Anal., 2022
A microstructure estimation Transformer inspired by sparse representation for diffusion MRI.
CoRR, 2022
An Adaptive Network with Extragradient for Diffusion MRI-Based Microstructure Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Improved White Matter Tract Segmentation for Unannotated Dataset.
Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022
Semi-supervised Intracranial Aneurysm Segmentation with Selected Unlabeled Data.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Multimodal super-resolved <i>q</i>-space deep learning.
Medical Image Anal., 2021
Super-Resolved q-Space deep learning with uncertainty quantification.
Medical Image Anal., 2021
Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks.
Medical Image Anal., 2021
Knowledge transfer between brain lesion segmentation tasks with increased model capacity.
Comput. Medical Imaging Graph., 2021
Positive-Unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Knowledge Transfer for Few-Shot Segmentation of Novel White Matter Tracts.
Proceedings of the Information Processing in Medical Imaging, 2021
2020
An improved deep network for tissue microstructure estimation with uncertainty quantification.
Medical Image Anal., 2020
MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey Brain.
Frontiers Neuroinformatics, 2020
White Matter Tract Segmentation with Self-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Frequency-Selective Learning for CT to MR Synthesis.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020
Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Knowledge Transfer Between Datasets for Learning-Based Tissue Microstructure Estimation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Volume Preserving Brain Lesion Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
A deep network for tissue microstructure estimation using modified LSTM units.
Medical Image Anal., 2019
Super-Resolved q-Space Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Semi-supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model.
Proceedings of the Information Processing in Medical Imaging, 2019
2018
Dictionary-based fiber orientation estimation with improved spatial consistency.
Medical Image Anal., 2018
2017
Probabilistic tractography using Lasso bootstrap.
Medical Image Anal., 2017
Tissue microstructure estimation using a deep network inspired by a dictionary-based framework.
Medical Image Anal., 2017
Fiber Orientation Estimation Guided by a Deep Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Learning-Based Ensemble Average Propagator Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Estimation of Tissue Microstructure Using a Deep Network Inspired by a Sparse Reconstruction Framework.
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease.
NeuroImage, 2016
Estimation of fiber orientations using neighborhood information.
Medical Image Anal., 2016
A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation.
Comput. Medical Imaging Graph., 2016
Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Fiber Orientation Estimation Using Nonlocal and Local Information.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6.
Neuroinformatics, 2015
A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging.
Comput. Medical Imaging Graph., 2015
Relating speech production to tongue muscle compressions using tagged and high-resolution magnetic resonance imaging.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Probabilistic fiber tracking using a modified Lasso bootstrap method.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Automatic Method for Thalamus Parcellation Using Multi-modal Feature Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
A Bayesian Approach to Distinguishing Interdigitated Muscles in the Tongue from Limited Diffusion Weighted Imaging.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014
2013
Parcellation of the thalamus using diffusion tensor images and a multi-object geometric deformable model.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Segmentation of the complete superior cerebellar peduncles using a multi-object geometric deformable model.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Thalamic parcellation from multi-modal data using random forest learning.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
A fiber tracking method guided by volumetric tract segmentation.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012
Labeling of the cerebellar peduncles using a supervised Gaussian classifier with volumetric tract segmentation.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Fully automatic segmentation of the dentate nucleus using diffusion weighted images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Direct segmentation of the major white matter tracts in diffusion tensor images.
NeuroImage, 2011