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06/26/2021
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs
Cryo-electron microscopy (cryo-EM) has revolutionized experimental prote...
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07/10/2020
Contrastive Training for Improved Out-of-Distribution Detection
Reliable detection of out-of-distribution (OOD) inputs is increasingly u...
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05/30/2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
Medical imaging only indirectly measures the molecular identity of the t...
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02/25/2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Semantic segmentation of medical images aims to associate a pixel with a...
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09/12/2018
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
Over half a million individuals are diagnosed with head and neck cancer ...
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06/13/2018
A Probabilistic U-Net for Segmentation of Ambiguous Images
Many real-world vision problems suffer from inherent ambiguities. In cli...
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06/21/2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
This paper introduces a network for volumetric segmentation that learns ...
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03/01/2016