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02/10/2022
Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating
Ranking by pairwise comparisons has shown improved reliability over ordi...
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09/09/2021
Fair Conformal Predictors for Applications in Medical Imaging
Deep learning has the potential to augment many components of the clinic...
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08/06/2020
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
Saliency maps have become a widely used method to make deep learning mod...
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05/29/2020
Assessing the validity of saliency maps for abnormality localization in medical imaging
Saliency maps have become a widely used method to assess which areas of ...
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12/27/2019
Split Learning for collaborative deep learning in healthcare
Shortage of labeled data has been holding the surge of deep learning in ...
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11/14/2019
Give me (un)certainty – An exploration of parameters that affect segmentation uncertainty
Segmentation tasks in medical imaging are inherently ambiguous: the boun...
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10/09/2019
ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations
Recently, there has been the development of Split Learning, a framework ...
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10/05/2019
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries
In this work we introduce ExpertMatcher, a method for automating deep le...
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12/19/2018
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
Supervised deep learning algorithms have enabled significant performance...
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11/06/2018
Deep feature transfer between localization and segmentation tasks
In this paper, we propose a new pre-training scheme for U-net based imag...
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08/14/2018
DeepNeuro: an open-source deep learning toolbox for neuroimaging
Translating neural networks from theory to clinical practice has unique ...
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05/08/2018
High-resolution medical image synthesis using progressively grown generative adversarial networks
Generative adversarial networks (GANs) are a class of unsupervised machi...
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09/10/2017
Institutionally Distributed Deep Learning Networks
Deep learning has become a promising approach for automated medical diag...
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09/09/2017
