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05/25/2022
RENs: Relevance Encoding Networks
The manifold assumption for high-dimensional data assumes that the data ...
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01/10/2022
Learning Population-level Shape Statistics and Anatomy Segmentation From Images: A Joint Deep Learning Model
Statistical shape modeling is an essential tool for the quantitative ana...
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11/13/2021
Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor
In current biological and medical research, statistical shape modeling (...
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10/14/2021
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
Statistical shape modeling (SSM) characterizes anatomical variations in ...
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10/06/2021
Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports
Localization and characterization of diseases like pneumonia are primary...
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07/18/2020
Unsupervised Shape Normality Metric for Severity Quantification
This work describes an unsupervised method to objectively quantify the a...
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07/13/2020
Uncertain-DeepSSM: From Images to Probabilistic Shape Models
Statistical shape modeling (SSM) has recently taken advantage of advance...
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06/13/2020
Self-Supervised Discovery of Anatomical Shape Landmarks
Statistical shape analysis is a very useful tool in a wide range of medi...
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11/24/2019
dpVAEs: Fixing Sample Generation for Regularized VAEs
Unsupervised representation learning via generative modeling is a staple...
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08/16/2019
A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration
Spatial transformations are enablers in a variety of medical image analy...
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08/16/2019
A Cooperative Autoencoder for Population-BasedRegularization of CNN Image Registration
Spatial transformations are enablers in a variety of medical image analy...
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06/13/2019
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets
Deep networks are an integral part of the current machine learning parad...
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03/06/2019
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation
Difficult image segmentation problems, for instance left atrium MRI, can...
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09/30/2018
Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation
Left atrium shape has been shown to be an independent predictor of recur...
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09/28/2018
