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09/14/2023
Virchow: A Million-Slide Digital Pathology Foundation Model
Computational pathology uses artificial intelligence to enable precision...
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07/22/2019
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration
Image registration with deep neural networks has become an active field ...
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07/30/2018
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors
Surface reconstruction is a vital tool in a wide range of areas of medic...
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05/02/2018
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
Pose estimation, i.e. predicting a 3D rigid transformation with respect ...
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11/18/2017
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images
We present DLTK, a toolkit providing baseline implementations for effici...
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11/08/2016
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
We study a variant of the variational autoencoder model (VAE) with a Gau...
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06/03/2016
Learning under Distributed Weak Supervision
The availability of training data for supervision is a frequently encoun...
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05/25/2016
