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USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

Sophie Ostmeier
Brian Axelrod
J. Bertels
Fabian Isensee
Maarten G.Lansberg
Soren Christensen
G. Albers
Li-Jia Li
J. Heit
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Papers citing "USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations"

3 / 3 papers shown
Title
Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT
Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT
Sophie Ostmeier
Brian Axelrod
Benjamin Pulli
Benjamin F. J. Verhaaren
Abdelkader Mahammedi
Yongkai Liu
C. Federau
Greg Zaharchuk
J. Heit
20
2
0
07 Sep 2023
Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists
Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists
Sophie Ostmeier
Brian Axelrod
Benjamin F. J. Verhaaren
Soren Christensen
Abdelkader Mahammedi
Yongkai Liu
Benjamin Pulli
Li-Jia Li
Greg Zaharchuk
J. Heit
11
4
0
24 Nov 2022
Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning
Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning
Vera de Vos
K. Timmins
Irene van der Schaaf
Y. Ruigrok
B. Velthuis
Hugo J. Kuijf
36
21
0
22 Jan 2021