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Dr. Abdel Aziz Taha
Dr. Abdel Aziz Taha
A1 Digital
Verified email at ifs.tuwien.ac.at
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, 1-28, 2015
23522015
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
3772015
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), 5217, 2018
2952018
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, 422707, 2019
2492019
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
1942016
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
1552021
Metrics reloaded: Pitfalls and recommendations for image analysis validation
L Maier-Hein, B Menze
arXiv. org, 2022
152*2022
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, 1-7, 2021
1022021
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, 552258, 2020
792020
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
422014
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
402014
Visualising class distribution on self-organising maps
R Mayer, TA Aziz, A Rauber
Artificial Neural Networks–ICANN 2007: 17th International Conference, Porto …, 2007
352007
Understanding metric-related pitfalls in image analysis validation
A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ...
Nature methods, 1-13, 2024
342024
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
212015
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), 10.1038, 2018
152018
Metrics reloaded-a new recommendation framework for biomedical image analysis validation
A Reinke, L Maier-Hein, E Christodoulou, B Glocker, P Scholz, F Isensee, ...
Medical imaging with deep learning, 2022
132022
An evaluation of performance measures for arterial brain vessel segmentation
OU Aydin, AA Taha, A Hilbert, AA Khalil, I Galinovic, JB Fiebach, D Frey, ...
BMC medical imaging 21, 1-12, 2021
122021
Evaluation metrics for medical organ segmentation and lesion detection
AA Taha, A Hanbury
Cloud-Based Benchmarking of Medical Image Analysis, 87-105, 2017
122017
Confidence estimation of classification based on the distribution of the neural network output layer
AA Taha, L Hennig, P Knoth
arXiv preprint arXiv:2210.07745, 2022
82022
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
82020
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