Dr. Abdel Aziz Taha
Dr. Abdel Aziz Taha
Researchstudio Austria (RSA)
Verified email at ifs.tuwien.ac.at - Homepage
Title
Cited by
Cited by
Year
Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool
AA Taha, A Hanbury
BMC medical imaging 15 (1), 1-28, 2015
7542015
An efficient algorithm for calculating the exact Hausdorff distance
AA Taha, A Hanbury
IEEE transactions on pattern analysis and machine intelligence 37 (11), 2153 …, 2015
1552015
Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks
O Jimenez-del-Toro, H Müller, M Krenn, K Gruenberg, AA Taha, ...
IEEE transactions on medical imaging 35 (11), 2459-2475, 2016
1202016
Why rankings of biomedical image analysis competitions should be interpreted with care
L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ...
Nature communications 9 (1), 1-13, 2018
812018
Why rankings of biomedical image analysis competitions should be interpreted with care
L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ...
Nature communications 9 (1), 1-13, 2018
802018
A U-Net deep learning framework for high performance vessel segmentation in patients with cerebrovascular disease
M Livne, J Rieger, OU Aydin, AA Taha, EM Akay, T Kossen, J Sobesky, ...
Frontiers in neuroscience 13, 97, 2019
642019
VISCERAL–VISual Concept Extraction challenge in RAdioLogy: ISBI 2014 challenge organization
OAJ del Toro, O Goksel, B Menze, H Müller, G Langs, MA Weber, I Eggel, ...
Proceedings of the VISCERAL Challenge at ISBI 1194, 6-15, 2014
372014
A formal method for selecting evaluation metrics for image segmentation
AA Taha, A Hanbury, OAJ del Toro
2014 IEEE international conference on image processing (ICIP), 932-936, 2014
202014
Overview of the VISCERAL Challenge at ISBI 2015.
O Goksel, A Foncubierta-Rodríguez, OAJ del Toro, H Müller, G Langs, ...
VISCERAL Challenge@ ISBI, 6-11, 2015
192015
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ...
Nature Communications 9, 5217, 2018
132018
Evaluation metrics for medical organ segmentation and lesion detection
AA Taha, A Hanbury
Cloud-Based Benchmarking of Medical Image Analysis, 87-105, 2017
52017
Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care
L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ...
Nature communications 10 (1), Article number: 588 1-2, 2019
42019
BRAVE-NET: fully automated arterial brain vessel segmentation in patients with cerebrovascular disease
A Hilbert, VI Madai, EM Akay, OU Aydin, J Behland, J Sobesky, I Galinovic, ...
Frontiers in Artificial Intelligence 3, 78, 2020
32020
Test data and results of the automatic metric selection method
AA Taha, A Hanbury, O Jimenez
Tech. Rep., 2014
32014
VISCERAL-VISual Concept Extraction challenge in RAdioLogy: Organsegmentierung: Übersicht, Einblicke und erste Ergebnisse
M Winterstein, K Grünberg, A Hanbury, OJ del Toro, O Göksel, B Menze, ...
RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2015
12015
Addressing metric challenges; bias and selection-efficient computation-hubness explanation and estimation
AA Taha
Wien, 2015
12015
On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking
OU Aydin, AA Taha, A Hilbert, AA Khalil, I Galinovic, JB Fiebach, D Frey, ...
European Radiology Experimental 5 (1), 1-7, 2021
2021
On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking
OU Aydin, AA Taha, A Hilbert, AA Khalil, I Galinovic, JB Fiebach, D Frey, ...
arXiv preprint arXiv:2009.00215, 2020
2020
Why rankings of biomedical image analysis competitions should be interpreted with care (vol 9, 5217, 2018)
L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ...
Nature Communications 10, 2019
2019
Chance influence in datasets with a large number of features
AA Taha, A Bampoulidis, M Lupu
Data Science–Analytics and Applications, 21-26, 2019
2019
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Articles 1–20