Publikationen von Tal Arbel sortiert nach Titel
B
BIAS: Transparent reporting of biomedical image analysis challenges (2020), in: Medical Image Analysis | , , , , , , , , , und ,
![]() |
C
Common limitations of performance metrics in biomedical image analysis, in: MIDLconference, 2021 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und ,
![]() |
H
How can we do better? Pitfalls in biomedical challenge design and how to address them, in: MICCAI workshop LABELS, 2018 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und ,
![]() |
I
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions (2018), in: arXiv | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und ,
![]() |
M
Medical Computer Vision & Bayesian and Graphical Models for Biomedical Imaging Workshop at MICCAI 2016, Springer, LNCS 10081, 2017
|
, , , , , , , , , und ,
Metrics reloaded: recommendations for image analysis validation (2024), in: Nature Methods | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und ,
[DOI] |
U
Understanding metric-related pitfalls in image analysis validation (2024), in: Nature Method | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und ,
[DOI] |
W
Why rankings of biomedical image analysis competitions should be interpreted with care (2018), in: Nature Communications
|
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und ,
![]() |