Killeen, Benjamin

Equivalent-accuracy accelerated neural-network training using analogue memory

Ambrogio, S., Narayanan, P., Tsai, H., Shelby, R. M., Boybat, I., di Nolfo, C., Sidler, S., Giordano, M., Bodini, M., Farinha, N. C. P., et al. (2018) · Nature

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 1,151

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

Hundt, A., Killeen, B., Greene, N., Wu, H., Kwon, H., Paxton, C., & Hager, G. D. (2019) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 59

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

Gao, C., Liu, X., Gu, W., Killeen, B., Armand, M., Taylor, R., & Unberath, M. (2020) · Lecture Notes in Computer Science

3D Shape Modeling and AnalysisMedical Image Segmentation Techniques

Cited by 46

Applications and implementation of generative artificial intelligence in cardiovascular imaging with a focus on ethical and legal considerations: what cardiovascular imagers need to know!

Marey, A., Serdysnki, K. C., Killeen, B. D., Unberath, M., & Umair, M. (2024) · BJR|Artificial Intelligence

Artificial Intelligence in Healthcare and EducationCardiac Imaging and Diagnostics

Cited by 7

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

Gao, C., Killeen, B. D., Hu, Y., Grupp, R. B., Taylor, R. H., Armand, M., & Unberath, M. (2022) · arXiv

Artificial Intelligence in Healthcare and EducationDomain Adaptation and Few-Shot Learning

Cited by 5