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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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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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08/05/2022
Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions
In many low-to-middle income (LMIC) countries, ultrasound is used for as...
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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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10/29/2021
Data-driven Uncertainty Quantification in Computational Human Head Models
Computational models of the human head are promising tools for estimatin...
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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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07/07/2020
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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09/12/2018
Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN
The cycleGAN is becoming an influential method in medical image synthesi...
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06/06/2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
International challenges have become the standard for validation of biom...
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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