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05/30/2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation
This paper presents an effective and general data augmentation framework...
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03/19/2023
Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization
Deep learning-based image registration approaches have shown competitive...
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09/21/2022
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance
Artificial intelligence (AI) and Machine Learning (ML) have shown great ...
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07/29/2022
MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI
Recovering the 3D motion of the heart from cine cardiac magnetic resonan...
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03/15/2022
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification
Data augmentation has been widely used in deep learning to reduce over-f...
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03/11/2022
Hybrid Artifact Detection System for Minute Resolution Blood Pressure Signals from ICU
Physiological monitoring in intensive care units generates data that can...
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12/07/2021
GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration
We present a Gradient Descent-based Image Registration Network (GraDIRN)...
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08/12/2021
Semantic Concentration for Domain Adaptation
Domain adaptation (DA) paves the way for label annotation and dataset bi...
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12/13/2020
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
Unsupervised domain adaptation challenges the problem of transferring kn...
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07/12/2020
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction
We present a deep network interpolation strategy for accelerated paralle...
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12/18/2019
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction
Purpose: To systematically investigate the influence of various data con...
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12/11/2019
Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction
We explore an ensembled Σ-net for fast parallel MR imaging, including pa...
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11/09/2019
Deep learning for cardiac image segmentation: A review
Deep learning has become the most widely used approach for cardiac image...
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09/25/2019
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction
We present simple reconstruction networks for multi-coil data by extendi...
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08/20/2019
Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image
Accelerating the acquisition of magnetic resonance imaging (MRI) is a ch...
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07/22/2019
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations
Dynamic magnetic resonance imaging (MRI) exhibits high correlations in k...
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07/19/2019
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction
In this work, we propose a deep learning approach for parallel magnetic ...
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03/22/2019
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations
We propose a fully unsupervised multi-modal deformable image registratio...
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08/01/2018
Recurrent neural networks for aortic image sequence segmentation with sparse annotations
Segmentation of image sequences is an important task in medical image an...
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06/11/2018
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences
Cardiac motion estimation and segmentation play important roles in quant...
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12/05/2017