Abdel Aziz Taha
Abdel Aziz Taha
Researcher and lecturer, Vienna University of Technology
Verified email at ifs.tuwien.ac.at - Homepage
TitleCited byYear
Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool
AA Taha, A Hanbury
BMC medical imaging 15 (1), 29, 2015
4422015
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
932015
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
822016
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
342014
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
332018
Visualising class distribution on self-organising maps
R Mayer, TA Aziz, A Rauber
International Conference on Artificial Neural Networks, 359-368, 2007
252007
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
162015
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, ...
CoRR, 1806.02051, 2018
112018
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
112014
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, 2019
92019
Evaluation metrics for medical organ segmentation and lesion detection
AA Taha, A Hanbury
Cloud-Based Benchmarking of Medical Image Analysis, 87-105, 2017
32017
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), 2019
22019
Test data and results of the automatic metric selection method
AA Taha, A Hanbury, O Jimenez
Tech. Rep., 2014
22014
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
A Reinke, S Onogur, M Stankovic, P Scholz, T Arbel, H Bogunovic, ...
arXiv preprint arXiv:1806.02051, 2018
12018
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
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
Message Ranking in a Factory Setting Using Context and User Preference
AA Taha, F Piroi, A Hanbury, T Tropper, T Mutzl, H Shehata
22nd IEEE International Conference on Emerging Technologies and Factory …, 2017
2017
Herausforderungen in der Anwendbarkeit von Metriken: Bias, Effizienz und Hubness
AA Taha
Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, 289-298, 2016
2016
VISCERAL-VISual concept extraction challenge in radiology
H Müller, K Grüenberg, MA Weber, OA Jiménez del Toro, O Goksel, ...
Proceedings of the 9th European Congress of Radiology (ECR) 2015, 2015
2015
Overview of the VISCERAL Challenge at ISBI 2015
H Müller, O Göksel, A Foncubierta Rodríguez, OA Jiménez del Toro, ...
Proceedings of the Visual Concept Extraction Challenge in Radiology Anatomy3 …, 2015
2015
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