51 citations · 93 across the 8 of their papers we have counts for
9 papers
DiffusionPoser: Real-time Human Motion Reconstruction From Arbitrary Sparse Sensors Using Autoregressive Diffusion
Tom Van Wouwe, Seunghwan Lee, Antoine Falisse +2
Motion capture from a limited number of body-worn sensors, such as inertial measurement units (IMUs) and pressure insoles, has important applications in health, human performance,…
Ten Steps to Becoming a Musculoskeletal Simulation Expert: A Half-Century of Progress and Outlook for the Future
Scott D. Uhlrich, Thomas K. Uchida, Marissa R. Lee +1
Over the past half-century, musculoskeletal simulations have deepened our knowledge of human and animal movement. This article outlines ten steps to becoming a musculoskeletal simu…
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…
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…
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…
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…
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…
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…
Self-tracking Energy Transfer for Neural Stimulation in Untethered Mice
John S. Ho, Yuji Tanabe, Shrivats Mohan Iyer +5
Optical or electrical stimulation of neural circuits in mice during natural behavior is an important paradigm for studying brain function. Conventional systems for optogenetics and…