1 code implementation • 1 Apr 2020 • Benjamin D. Killeen, Jie Ying Wu, Kinjal Shah, Anna Zapaishchykova, Philipp Nikutta, Aniruddha Tamhane, Shreya Chakraborty, Jinchi Wei, Tiger Gao, Mareike Thies, Mathias Unberath
As the coronavirus disease 2019 (COVID-19) becomes a global pandemic, policy makers must enact interventions to stop its spread.
Computers and Society Databases Physics and Society Populations and Evolution
1 code implementation • CVPR 2021 • Xingtong Liu, Benjamin D. Killeen, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath
Extracting geometric features from 3D models is a common first step in applications such as 3D registration, tracking, and scene flow estimation.
1 code implementation • 13 Jun 2022 • Cong Gao, Benjamin D. Killeen, Yicheng Hu, Robert B. Grupp, Russell H. Taylor, Mehran Armand, Mathias Unberath
Here, we demonstrate that creating realistic simulated images from human models is a viable alternative and complement to large-scale in situ data collection.
no code implementations • 18 Apr 2023 • Benjamin D. Killeen, Han Zhang, Jan Mangulabnan, Mehran Armand, Russel H. Taylor, Greg Osgood, Mathias Unberath
Surgical phase recognition (SPR) is a crucial element in the digital transformation of the modern operating theater.
1 code implementation • 12 Mar 2024 • Benjamin D. Killeen, Liam J. Wang, Han Zhang, Mehran Armand, Russell H. Taylor, Dave Dreizin, Greg Osgood, Mathias Unberath
Recently, foundation models (FMs) -- machine learning models trained on large amounts of highly variable data thus enabling broad applicability -- have emerged as promising tools for automated image analysis.