Search Results for author: Benjamin D. Killeen

Found 5 papers, 4 papers with code

A County-level Dataset for Informing the United States' Response to COVID-19

1 code implementation1 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

Neighborhood Normalization for Robust Geometric Feature Learning

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.

Scene Flow Estimation

SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experiments

1 code implementation13 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.

Domain Generalization Lesion Segmentation

FluoroSAM: A Language-aligned Foundation Model for X-ray Image Segmentation

1 code implementation12 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.

Image Segmentation Semantic Segmentation +1

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