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Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction
The impact of machine learning models on healthcare will depend on the d...
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Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks
Reconstructing under-sampled k-space measurements in Compressed Sensing ...
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HyperMorph: Amortized Hyperparameter Learning for Image Registration
We present HyperMorph, a learning-based strategy for deformable image re...
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Predictive Modeling of Anatomy with Genetic and Clinical Data
We present a semi-parametric generative model for predicting anatomy of ...
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Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data
Compressed Sensing MRI (CS-MRI) has shown promise in reconstructing unde...
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Anatomical Predictions using Subject-Specific Medical Data
Changes over time in brain anatomy can provide important insight for tre...
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An Auto-Encoder Strategy for Adaptive Image Segmentation
Deep neural networks are powerful tools for biomedical image segmentatio...
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Learning Multi-Modal Image Registration without Real Data
We introduce a learning-based strategy for multi-modal registration of i...
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Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast
Partial voluming (PV) is arguably the last crucial unsolved problem in B...
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Learning a Probabilistic Strategy for Computational Imaging Sensor Selection
Optimized sensing is important for computational imaging in low-resource...
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A Learning Strategy for Contrast-agnostic MRI Segmentation
We present a deep learning strategy that enables, for the first time, co...
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ML4H Abstract Track 2019
A collection of the accepted abstracts for the Machine Learning for Heal...
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Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
We introduce a new video synthesis task: synthesizing time lapse videos ...
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Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
We introduce visual deprojection: the task of recovering an image or vid...
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Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation
We tackle biomedical image segmentation in the scenario of only a few la...
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Learning Conditional Deformable Templates with Convolutional Networks
We develop a learning framework for building deformable templates, which...
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Adaptive Compressed Sensing MRI with Unsupervised Learning
In compressed sensing MRI, k-space measurements are under-sampled to ach...
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Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data
Registration is a core component of many imaging pipelines. In case of c...
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Confidence Calibration for Convolutional Neural Networks Using Structured Dropout
In classification applications, we often want probabilistic predictions ...
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Unsupervised deep learning for Bayesian brain MRI segmentation
Probabilistic atlas priors have been commonly used to derive adaptive an...
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Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Classical deformable registration techniques achieve impressive results ...
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Unsupervised Data Imputation via Variational Inference of Deep Subspaces
A wide range of systems exhibit high dimensional incomplete data. Accura...
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Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
We consider the problem of segmenting a biomedical image into anatomical...
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Data augmentation using learned transforms for one-shot medical image segmentation
Biomedical image segmentation is an important task in many medical appli...
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Learning-based Optimization of the Under-sampling Pattern in MRI
Acquisition of Magnetic Resonance Imaging (MRI) scans can be accelerated...
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Fast Learning-based Registration of Sparse Clinical Images
Deformable registration of clinical scans is a fundamental task for many...
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Gaussian Process Prior Variational Autoencoders
Variational autoencoders (VAE) are a powerful and widely-used class of m...
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VoxelMorph: A Learning Framework for Deformable Medical Image Registration
We present VoxelMorph, a fast, unsupervised, learning-based algorithm fo...
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Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease
We propose a new iterative segmentation model which can be accurately le...
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Medical Image Imputation from Image Collections
We present an algorithm for creating high resolution anatomically plausi...
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Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
Traditional deformable registration techniques achieve impressive result...
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Synthesizing Images of Humans in Unseen Poses
We address the computational problem of novel human pose synthesis. Give...
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An Unsupervised Learning Model for Deformable Medical Image Registration
We present an efficient learning-based algorithm for deformable, pairwis...
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Reconstructing Video from Interferometric Measurements of Time-Varying Sources
Very long baseline interferometry (VLBI) makes it possible to recover im...
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