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Sophie Ostmeier
ORCID
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 4
Top Topics
Statistical Models
Deep Learning
Ischemic Stroke
Medical Image Segmentation
Top Venues
CoRR
Medical Image Anal.
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Publications
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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)
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)