Brian Axelrod
Orcid: 0000-0001-8991-8915
According to our database1,
Brian Axelrod
authored at least 18 papers
between 2015 and 2024.
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Bibliography
2024
2023
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging.
Medical Image Anal., December, 2023
Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT.
CoRR, 2023
2022
Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists.
CoRR, 2022
Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations.
CoRR, 2022
Proceedings of the Algorithmic Foundations of Robotics XV, 2022
2021
Int. J. Robotics Res., 2021
2020
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Int. J. Robotics Res., 2018
CoRR, 2018
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018
2015
Proceedings of the IEEE International Conference on Robotics and Automation, 2015