activity
20172020
most citedShortFuse: Biomedical Time Series Representations in the Presence of Structured Information

2 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2020

Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning

Kevin A. Thomas, Dominik Krzemiński, Łukasz Kidziński +7

Objective: We evaluate a fully-automated femoral cartilage segmentation model for measuring T2 relaxation values and longitudinal changes using multi-echo spin echo (MESE) MRI. We…

cs.CY2019

Medical device surveillance with electronic health records

Alison Callahan, Jason A Fries, Christopher Ré +4

Post-market medical device surveillance is a challenge facing manufacturers, regulatory agencies, and health care providers. Electronic health records are valuable sources of real…

cs.LG2019

Artificial Intelligence for Prosthetics - challenge solutions

Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty +47

In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a giv…

cs.LG2018

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments

Łukasz Kidziński, Sharada Prasanna Mohanty, Carmichael Ong +26

In the NIPS 2017 Learning to Run challenge, participants were tasked with building a controller for a musculoskeletal model to make it run as fast as possible through an obstacle c…

cs.AI2018

Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning

Łukasz Kidziński, Sharada P. Mohanty, Carmichael Ong +5

Synthesizing physiologically-accurate human movement in a variety of conditions can help practitioners plan surgeries, design experiments, or prototype assistive devices in simulat…

stat.ML20172 cited

ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information

Madalina Fiterau, Suvrat Bhooshan, Jason Fries +5

In healthcare applications, temporal variables that encode movement, health status and longitudinal patient evolution are often accompanied by rich structured information such as d…