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09/29/2021
Convolution-Free Waveform Transformers for Multi-Lead ECG Classification
We present our entry to the 2021 PhysioNet/CinC challenge - a waveform t...
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09/15/2021
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series
Time series models with recurrent neural networks (RNNs) can have high a...
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04/30/2019
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation
Infarcted brain tissue resulting from acute stroke readily shows up as h...
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02/27/2019
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images
We propose and demonstrate machine learning algorithms to assess the sev...
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11/14/2018
Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episod
Timely prediction of clinically critical events in Intensive Care Unit (...
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11/02/2018
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss
We present a fully convolutional neural network for segmenting ischemic ...
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10/05/2018
Automatic Detection of Arousals during Sleep using Multiple Physiological Signals
The visual scoring of arousals during sleep routinely conducted by sleep...
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04/20/2018
Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks
The MIMIC-CXR dataset is (to date) the largest publicly released chest x...
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10/10/2017
Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings
The development of new technology such as wearables that record high-qua...
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07/16/2017
An Ensemble Boosting Model for Predicting Transfer to the Pediatric Intensive Care Unit
Our work focuses on the problem of predicting the transfer of pediatric ...
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07/14/2017