Congratulations to the 10 papers below selected for spotlight presentations!
These will be presented in rapid succession (2 min. each) during the 9:55 - 10:20 slot of our workshop program to give our audience a taste of exciting work happening in the ML+Health space.
Tool Detection and Operative Skill Assessment in Surgical Videos using Region-Based Convolutional Neural Networks
Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein and Li Fei-Fei
Correlational Dueling Bandits for Clinical Treatment in Large Decision Spaces
Yanan Sui, Yisong Yue and Joel Burdick
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
Stephanie Hyland, Cristóbal Esteban and Gunnar Rätsch
Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals
Aaqib Saeed and Stojan Trajanovski
Personalized Survival Prediction with Contextual Explanation Networks
Maruan Al-Shedivat, Avinava Dubey and Eric Xing
Off-Policy Learning Under Noncompliance
Nathan Kallus
Vision-Based Prediction of ICU Mobility Care Activities using Recurrent Neural Networks
Gabriel M. Bianconi, Rishab Mehra, Serena Yeung, Francesca Salipur, Jeffrey Jopling, Lance Downing, Albert Haque, Alexandre Alahi, Brandi Campbell, Kayla Deru, William Beninati, Arnold Milstein and Li Fei-Fei
A Public Benchmark for Clinical Prediction and Multitask Learning
Hrayr Harutyunyan, Hrant Khachatrian, David Kale, Greg Ver Steeg and Aram Galstyan
Spatial Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
Adrian Dalca, John Guttag and Mert Sabuncu
Ask the Doctor – Improving Drug Sensitivity Predictions through Active Expert Knowledge Elicitation
Iiris Sundin, Tomi Peltola, Muntasir Mamun Majumder, Pedram Daee, Marta Soare, Homayun Afrabandpey, Caroline Heckman, Samuel Kaski and Pekka Marttinen