A formal method for selecting evaluation metrics for image segmentation. - Abdel Aziz Taha; Allan Hanbury; Oscar Alfonso Jiménez del Toro (ICIP, 2014)

Herausforderungen in der Anwendbarkeit von Metriken: Bias, Effizienz und Hubness. - Abdel Aziz Taha (Ausgezeichnete Informatikdissertationen, 2015)

Overview of the VISCERAL Challenge at ISBI 2015. - Orcun Goksel; Antonio Foncubierta-Rodríguez; Oscar Alfonso Jiménez del Toro; Henning Müller; Georg Langs; Marc-André Weber; Bjoern H. Menze; Ivan Eggel; Katharina Gruenberg; Marianne Winterstein; Markus Holzer 003; Markus Krenn; et al. (VISCERAL Challenge@ISBI, 2015)

Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool. - Abdel Aziz Taha; Allan Hanbury (BMC Medical Imaging, 2015)

An Efficient Algorithm for Calculating the Exact Hausdorff Distance. - Abdel Aziz Taha; Allan Hanbury (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks. - Oscar Alfonso Jiménez del Toro; Henning Müller; Markus Krenn; Katharina Gruenberg; Abdel Aziz Taha; Marianne Winterstein; Ivan Eggel; Antonio Foncubierta-Rodríguez; Orcun Goksel; András Jakab; Georgios Kontokotsios; Georg Langs; et al. (IEEE Trans. Medical Imaging, 2016)

Evaluation Metrics for Medical Organ Segmentation and Lesion Detection. - Abdel Aziz Taha; Allan Hanbury (Cloud-Based Benchmarking of Medical Image Analysis, 2017)

Message ranking in a factory setting using context and user preference. - Abdel Aziz Taha; Florina Piroi; Allan Hanbury; Thomas Troppe; Thomas Mutzl; Haroun Shehata (ETFA, 2017)

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. - Lena Maier-Hein; Matthias Eisenmann; Annika Reinke; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Tal Arbel; Hrvoje Bogunovic; Andrew P. Bradley; Aaron Carass; Carolin Feldmann; Alejandro F. Frangi; et al. (CoRR, 2018)

On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking. - Orhun Utku Aydin; Abdel Aziz Taha; Adam Hilbert; Ahmed A. Khalil; Ivana Galinovic; Jochen B. Fiebach; Dietmar Frey; Vince Istvan Madai (CoRR, 2020)

BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease. - Adam Hilbert; Vince I. Madai; Ela M. Akay; Orhun Utku Aydin; Jonas Behland; Jan Sobesky; Ivana Galinovic; Ahmed A. Khalil; Abdel Aziz Taha; Jens Wuerfel; Petr Dusek; Thoralf Niendorf; et al. (Frontiers Artif. Intell., 2020)

An evaluation of performance measures for arterial brain vessel segmentation. - Orhun Utku Aydin; Abdel Aziz Taha; Adam Hilbert; Ahmed A. Khalil; Ivana Galinovic; Jochen B. Fiebach; Dietmar Frey; Vince Istvan Madai (BMC Medical Imaging, 2021)

Confidence estimation of classification based on the distribution of the neural network output layer. - Abdel Aziz Taha; Leonhard Hennig; Petr Knoth (CoRR, 2022)

Formal Analysis and Estimation of Chance in Datasets Based on Their Properties. - Abdel Aziz Taha; Luca Papariello; Alexandros Bampoulidis; Petr Knoth; Mihai Lupu (IEEE Trans. Knowl. Data Eng., 2022)