Benjamin Killeen

According to our database, Benjamin Killeen authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Benjamin D. Killeen, Liam J. Wang, Han Zhang, Mehran Armand, Russell H. Taylor, David Dreizin, Greg Osgood, Mathias Unberath

CoRR, 2024

2023

Mixed reality interfaces for achieving desired views with robotic X-ray systems.

Benjamin D. Killeen, Jonas Winter, Wenhao Gu, Alejandro Martin-Gomez, Russell H. Taylor, Greg Osgood, Mathias Unberath

Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

An autonomous X-ray image acquisition and interpretation system for assisting percutaneous pelvic fracture fixation.

Benjamin D. Killeen, Cong Gao, Kanyifeechukwu Jane Oguine, Sean Darcy, Mehran Armand, Russell H. Taylor, Greg Osgood, Mathias Unberath

Int. J. Comput. Assist. Radiol. Surg., July, 2023

Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis.

Cong Gao, Benjamin D. Killeen, Yicheng Hu, Robert B. Grupp, Russell H. Taylor, Mehran Armand, Mathias Unberath

Nat. Mac. Intell., March, 2023

Pelphix: Surgical Phase Recognition from X-Ray Images in Percutaneous Pelvic Fixation.

Benjamin D. Killeen, Han Zhang, Jan Mangulabnan, Mehran Armand, Russell H. Taylor, Greg Osgood, Mathias Unberath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

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

Cong Gao, Benjamin D. Killeen, Yicheng Hu, Robert B. Grupp, Russell H. Taylor, Mehran Armand, Mathias Unberath

CoRR, 2022

2021

Neighborhood Normalization for Robust Geometric Feature Learning.

Xingtong Liu, Benjamin D. Killeen, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Feasibility of a Cannula-Mounted Piezo Robot for Image-Guided Vertebral Augmentation: Toward a Low Cost, Semi-Autonomous Approach.

Justin D. Opfermann, Benjamin D. Killeen, Christopher Bailey, Majid Khan, Ali Uneri, Kensei Suzuki, Mehran Armand, Ferdinand Hui, Axel Krieger, Mathias Unberath

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020

"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer.

Andrew Hundt, Benjamin Killeen, Nicholas Greene, Hongtao Wu, Heeyeon Kwon, Chris Paxton, Gregory D. Hager

IEEE Robotics Autom. Lett., 2020

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

Benjamin D. Killeen, Jie Ying Wu, Kinjal Shah, Anna Zapaishchykova, Philipp Nikutta, Aniruddha Tamhane, Shreya Chakraborty, Jinchi Wei, Tiger Gao, Mareike Thies, Mathias Unberath

CoRR, 2020

Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration.

Cong Gao, Xingtong Liu, Wenhao Gu, Benjamin Killeen, Mehran Armand, Russell H. Taylor, Mathias Unberath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Extremely Dense Point Correspondences Using a Learned Feature Descriptor.

Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks via Reward Shaping.

Andrew Hundt, Benjamin Killeen, Heeyeon Kwon, Chris Paxton, Gregory D. Hager

CoRR, 2019

2018

Equivalent-accuracy accelerated neural-network training using analogue memory.

Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Robert M. Shelby, Irem Boybat, Carmelo di Nolfo, Severin Sidler, Massimo Giordano, Martina Bodini, Nathan C. P. Farinha, Benjamin Killeen, Christina Cheng, Yassine Jaoudi, Geoffrey W. Burr

Nat., 2018