Brian Axelrod

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Medical Image Segmentation

Ischemic Stroke

Motion Planning

Top Venues

Int. J. Robotics Res.

Publications

Sophie Ostmeier, Brian Axelrod, Michael E. Moseley, Akshay Chaudhari, Curtis P. Langlotz
LieRE: Generalizing Rotary Position Encodings. CoRR (2024)
Sophie Ostmeier, Brian Axelrod, Fabian Isensee, Jeroen Bertels, Michael Mlynash, Soren Christensen, Maarten G. Lansberg, Gregory W. Albers, Rajen Sheth, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Li-Jia Li, Greg Zaharchuk, Jeremy J. Heit
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. Medical Image Anal. 90 (2023)
Sophie Ostmeier, Brian Axelrod, Benjamin Pulli, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Yongkai Liu, Christian Federau, Greg Zaharchuk, Jeremy J. Heit
Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT. CoRR (2023)
Brian Axelrod, Luke Shimanuki
Efficient Motion Planning Under Obstacle Uncertainty with Local Dependencies. WAFR (2022)
Sophie Ostmeier, Jeremy J. Heit, Brian Axelrod, Li-Jia Li, Greg Zaharchuk, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Soren Christensen, Maarten G. Lansberg
Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists. CoRR (2022)
Sophie Ostmeier, Brian Axelrod, Jeroen Bertels, Fabian Isensee, Maarten G. Lansberg, Soren Christensen, Gregory W. Albers, Li-Jia Li, Jeremy J. Heit
Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations. CoRR (2022)
Brian Axelrod, Shivam Garg, Yanjun Han, Vatsal Sharan, Gregory Valiant
On the Statistical Complexity of Sample Amplification. CoRR (2022)
Luke Shimanuki, Brian Axelrod
Hardness of Motion Planning with Obstacle Uncertainty in Two Dimensions. Int. J. Robotics Res. 40 (10-11) (2021)
Yonadav Shavit, Benjamin L. Edelman, Brian Axelrod
Learning From Strategic Agents: Accuracy, Improvement, and Causality. CoRR (2020)
Brian Axelrod, Yang P. Liu, Aaron Sidford
Near-optimal Approximate Discrete and Continuous Submodular Function Minimization. SODA (2020)
Yonadav Shavit, Benjamin L. Edelman, Brian Axelrod
Causal Strategic Linear Regression. ICML (2020)
Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant
Sample Amplification: Increasing Dataset Size even when Learning is Impossible. ICML (2020)
Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant
Sample Amplification: Increasing Dataset Size even when Learning is Impossible. CoRR (2019)
Brian Axelrod, Yang P. Liu, Aaron Sidford
Near-optimal Approximate Discrete and Continuous Submodular Function Minimization. CoRR (2019)
Brian Axelrod, Ilias Diakonikolas, Alistair Stewart, Anastasios Sidiropoulos, Gregory Valiant
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families. NeurIPS (2019)
Brian Axelrod, Ilias Diakonikolas, Anastasios Sidiropoulos, Alistair Stewart, Gregory Valiant
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families. CoRR (2019)
Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Provably safe robot navigation with obstacle uncertainty. Int. J. Robotics Res. 37 (13-14) (2018)
Luke Shimanuki, Brian Axelrod
Hardness of 3D Motion Planning Under Obstacle Uncertainty. WAFR (2018)
Brian Axelrod, Gregory Valiant
An Efficient Algorithm for High-Dimensional Log-Concave Maximum Likelihood. CoRR (2018)
Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Provably Safe Robot Navigation with Obstacle Uncertainty. Robotics: Science and Systems (2017)
Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Provably Safe Robot Navigation with Obstacle Uncertainty. CoRR (2017)
Brian Axelrod, Michel Laverne
Reducing FPGA algorithm area by avoiding redundant computation. ICRA (2015)