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08/05/2023
MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction
Tagged magnetic resonance imaging (tMRI) has been employed for decades t...
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07/28/2023
A Survey on Deep Learning in Medical Image Registration: New Technologies, Uncertainty, Evaluation Metrics, and Beyond
Over the past decade, deep learning technologies have greatly advanced t...
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05/23/2023
Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation
Self-training is an important class of unsupervised domain adaptation (U...
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02/14/2023
Synthesizing audio from tongue motion during speech using tagged MRI via transformer
Investigating the relationship between internal tissue point motion of t...
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02/01/2023
A latent space for unsupervised MR image quality control via artifact assessment
Image quality control (IQC) can be used in automated magnetic resonance ...
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01/18/2023
Deep Unsupervised Phase-based 3D Incompressible Motion Estimation in Tagged-MRI
Tagged magnetic resonance imaging (MRI) has been used for decades to obs...
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01/15/2023
Segmenting thalamic nuclei from manifold projections of multi-contrast MRI
The thalamus is a subcortical gray matter structure that plays a key rol...
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12/12/2022
HACA3: A Unified Approach for Multi-site MR Image Harmonization
The lack of standardization is a prominent issue in magnetic resonance (...
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09/06/2022
Deep filter bank regression for super-resolution of anisotropic MR brain images
In 2D multi-slice magnetic resonance (MR) acquisition, the through-plane...
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06/05/2022
Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator
Understanding the underlying relationship between tongue and oropharynge...
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05/10/2022
Disentangling A Single MR Modality
Disentangling anatomical and contrast information from medical images ha...
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03/05/2022
Coordinate Translator for Learning Deformable Medical Image Registration
The majority of deep learning (DL) based deformable image registration m...
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02/25/2022
Structure-aware Unsupervised Tagged-to-Cine MRI Synthesis with Self Disentanglement
Cycle reconstruction regularized adversarial training – e.g., CycleGAN, ...
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06/23/2021
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis
Self-training based unsupervised domain adaptation (UDA) has shown great...
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03/31/2021
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions
To super-resolve the through-plane direction of a multi-slice 2D magneti...
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03/24/2021
Information-based Disentangled Representation Learning for Unsupervised MR Harmonization
Accuracy and consistency are two key factors in computer-assisted magnet...
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03/04/2021
A Structural Causal Model for MR Images of Multiple Sclerosis
Precision medicine involves answering counterfactual questions such as "...
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01/14/2021
Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis
Tagged magnetic resonance imaging (MRI) is a widely used imaging techniq...
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07/09/2020
A Deep Joint Sparse Non-negative Matrix Factorization Framework for Identifying the Common and Subject-specific Functional Units of Tongue Motion During Speech
Intelligible speech is produced by creating varying internal local muscl...
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07/07/2020
Self domain adapted network
Domain shift is a major problem for deploying deep networks in clinical ...
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02/11/2020
Validating uncertainty in medical image translation
Medical images are increasingly used as input to deep neural networks to...
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02/11/2020
Finding novelty with uncertainty
Medical images are often used to detect and characterize pathology and d...
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12/11/2018
Evaluating the Impact of Intensity Normalization on MR Image Synthesis
Image synthesis learns a transformation from the intensity features of a...
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04/15/2018
A Sparse Non-negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior from MRI
Muscle coordination patterns of lingual behaviors are synergies generate...
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03/18/2018
Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size
CT is commonly used in orthopedic procedures. MRI is used along with CT ...
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03/14/2018
Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks
Optical coherence tomography (OCT) is a noninvasive imaging modality whi...
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02/26/2018
Self Super-Resolution for Magnetic Resonance Images using Deep Networks
High resolution magnetic resonance (MR) imaging (MRI) is desirable in ma...
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05/19/2017
Fiber Orientation Estimation Guided by a Deep Network
Diffusion magnetic resonance imaging (dMRI) is currently the only tool f...
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01/24/2017
Speech Map: A Statistical Multimodal Atlas of 4D Tongue Motion During Speech from Tagged and Cine MR Images
Quantitative measurement of functional and anatomical traits of 4D tongu...
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01/16/2016
