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Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection
Object detection has witnessed significant progress by relying on large,...
08/21/2020 ∙ by Carlo Biffi, et al. ∙
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Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images
Cardiac MR image segmentation is essential for the morphological and fun...
07/23/2019 ∙ by Chen Chen, et al. ∙
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VS-Net: Variable splitting network for accelerated parallel MRI reconstruction
In this work, we propose a deep learning approach for parallel magnetic ...
07/19/2019 ∙ by Jinming Duan, et al. ∙
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Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation
Deep learning models trained on medical images from a source domain (e.g...
07/05/2019 ∙ by Cheng Ouyang, et al. ∙
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Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling
Quantification of anatomical shape changes still relies on scalar global...
06/28/2019 ∙ by Carlo Biffi, et al. ∙
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3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders
Accurate segmentation of heart structures imaged by cardiac MR is key fo...
02/28/2019 ∙ by Carlo Biffi, et al. ∙
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Deep learning cardiac motion analysis for human survival prediction
Motion analysis is used in computer vision to understand the behaviour o...
10/08/2018 ∙ by Ghalib A. Bello, et al. ∙
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Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach
Deep learning approaches have achieved state-of-the-art performance in c...
08/26/2018 ∙ by Jinming Duan, et al. ∙
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Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling
Alterations in the geometry and function of the heart define well-establ...
07/18/2018 ∙ by Carlo Biffi, et al. ∙
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