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09/06/2023
MAD: Modality Agnostic Distance Measure for Image Registration
Multi-modal image registration is a crucial pre-processing step in many ...
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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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01/30/2023
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy
Two key questions in cardiac image analysis are to assess the anatomy an...
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08/28/2022
Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data
Cardiovascular disease, the leading cause of death globally, is an age-r...
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12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
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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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10/08/2021
Is MC Dropout Bayesian?
MC Dropout is a mainstream "free lunch" method in medical imaging for ap...
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05/25/2021
Learning a Model-Driven Variational Network for Deformable Image Registration
Data-driven deep learning approaches to image registration can be less a...
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11/09/2020
Detecting Outliers with Foreign Patch Interpolation
In medical imaging, outliers can contain hypo/hyper-intensities, minor d...
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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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08/20/2019