Variational Inference over Non-differentiable Cardiac Simulators using Bayesian Optimization

no code implementations • 9 Dec 2017 • Adam McCarthy, Blanca Rodriguez, Ana Minchole

We improve the fit of a state-of-the-art simulator to an electrocardiogram (ECG) recorded from a real patient.

Bayesian Optimization Variational Inference

Predicting Patient State-of-Health using Sliding Window and Recurrent Classifiers

no code implementations • 2 Dec 2016 • Adam McCarthy, Christopher K. I. Williams

Bedside monitors in Intensive Care Units (ICUs) frequently sound incorrectly, slowing response times and desensitising nurses to alarms (Chambrin, 2001), causing true alarms to be missed (Hug et al., 2011).

Time Series Time Series Analysis

Federated Learning for Breast Density Classification: A Real-World Implementation

no code implementations • 3 Sep 2020 • Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard White, Behrooz Hashemian, Thomas Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina V. Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel Rubin, Jayashree Kalpathy-Cramer

Building robust deep learning-based models requires large quantities of diverse training data.

breast density classification Classification +2