Publikationen

2021

• Abdel Aziz Taha, Luca Papariello, Bampoulidis Alexandros, Petr Knoth,
  and Mihai Lupu. Formal analysis and estimation of chance in datasets based on
  their properties. IEEE Transactions on Knowledge and Data Engineering, page
  (Early Access), 2021.
• O. U. Aydin, A. A. Taha, A. Hilbert, A. Khalil, I. Galinovic, Jochen B.
  Fiebach, D. Frey, and V. Madai. On the usage of average hausdorff distance
  for segmentation performance assessment: hidden error when used for ranking.
  European Radiology Experimental, 5, 2021.

2020

• Adam Hilbert, Vince I Madai, Ela M Akay, Orhun U Aydin, Jonas Behland, Jan
  Sobesky, Ivana Galinovic, Ahmed A Khalil, Abdel A Taha, Jens W&uumlrfel,
  Petr Dusek, Thoralf Niendorf, Jochen B Fiebach, Dietmar Frey, and Michelle Livne.
  BRAVE-NET: Fully automated arterial brain vessel segmentation in patients with
  cerebrovascular disease. medRxiv, 2020.

2019

• Michelle Livne, Jana Rieger, Orhun Utku Aydin, Abdel Aziz Taha, Ela Marie Akay,
  Tabea Kossen, Jan Sobesky, John D. Kelleher, Kristian Hildebrand, Dietmar Frey,
  and Vince I. Madai. A u-net deep learning framework for high performance vessel
  segmentation in patients with cerebrovascular disease. Frontiers in Neuroscience,
  13:97, 2019.

2018

• Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko
  Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron
  Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken,
  Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März,
  Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F.
  Neher, Wiro Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana,
  Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der
  Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin,
  and Annette Kopp-Schneider. Is the winner really the best? A critical analysis
  of common research practice in biomedical image analysis competitions. CoRR,
  abs/1806.02051, 2018.
  3/5
• Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko
  Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron
  Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken,
  Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März,
  Oskar Maier, Klaus Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher,
  Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie
  Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen,
  Ching Wei Wang, Marc André Weber, Guoyan Zheng, Pierre Jannin, and Annette
  Kopp-Schneider. Why rankings of biomedical image analysis competitions should
  be interpreted with care. Nature Communications, 9(1), December 2018.

2017

• Abdel Aziz Taha, Florina Piroi, Allan Hanbury, Thomas Troppe, Thomas Mutzl,
  and Haroun Shehata. Message ranking in a factory setting using context and user
  preference. In 22nd IEEE International Conference on Emerging Technologies and
  Factory Automation, ETFA 2017, Limassol, Cyprus, September 12-15, 2017, pages
  1–4. IEEE, 2017.
• Abdel Aziz Taha and Allan Hanbury. Evaluation metrics for medical organ segmentation
  and lesion detection. In Cloud-Based Benchmarking of Medical Image
  Analysis, pages 87–105, Cham, 2017. Springer International Publishing.

2017

• Oscar Alfonso Jimenez del Toro, Henning Müller, Markus Krenn, Katharina Gruenberg,
  Abdel Aziz Taha, Marianne Winterstein, Ivan Eggel, Antonio Foncubierta-
  Rodríguez, Orcun Goksel, Andras Jakab, Georgios Kontokotsios, Georg Langs,
  Bjoern H. Menze, Tomas Salas Fernandez, Roger Schaer, Anna Walleyo, Marc André
  Weber, Yashin Dicente Cid, Tobias Gass, Mattias P. Heinrich, Fucang Jia,
  Fredrik Kahl, Razmig Kéchichian, Dominic Mai, Assaf B. Spanier, Graham Vincent,
  Chunliang Wang, Daniel Wyeth, and Allan Hanbury. Cloud-based evaluation of
  anatomical structure segmentation and landmark detection algorithms: Visceral
  anatomy benchmarks. IEEE Trans. Med. Imaging, 35(11):2459–2475, 2016.

2015

• 2015 Abdel Aziz Taha and Allan Hanbury. Metrics for evaluating 3d medical image
  segmentation: analysis, selection, and tool. BMC Medical Imaging, 15(1):1–28,
• Abdel Aziz Taha and Allan Hanbury. An efficient algorithm for calculating the exact
  Hausdorff distance. Pattern Analysis and Machine Intelligence, IEEE Transactions
  on, 37(11):2153–2163, Nov 2015.
• Abdel Aziz Taha. Addressing metric challenges: Bias and Selection – Efficient Computation
  – Hubness Explanation and Estimation. PhD thesis, Vienna University of
  Technology, December 2015. http://publik.tuwien.ac.at/files/PubDat_247742.pdf.
• Henning Müller, Katharina Grünberg, Marc Andre Weber, Oscar Alfonso Jimenez del
  Toro, Orcun Goksel, Bjöern Menze, Georg Langs, Ivan Eggel, Markus Holzer, Georgios
  Kontokotsios, Markus Krenn, Roger Schaer, Abdel Aziz Taha, Marianne Winterstein,
  and Allan Hanbury. Visceral-visual concept extraction challenge in radiology :
  segmentation challenge : overview, insights and preliminary results. Proceedings of
  the 9th European Congress of Radiology (ECR) 2015, (CONFERENCE):1 p., 2015.
  4/5
• Katharina Gruenberg, Marc André Weber, Oscar Alfonso Jimenez del Toro, Orcun
  Goksel, Bjoern Menze, Henning Müller, Georg Langs, Ivan Eggel, Markus Holzer,
  Georgios Kontokotsios, Markus Krenn, Roger Schaer, Abdel Aziz Taha, Marianne
  Winterstein, and Allan Hanbury. Visceral-visual concept extraction challenge in
  radiology: Segmentation challenge: overview, insights and preliminary results. In
  European Congress of Radiology (ECR) 2015, Vienna, Austria, 2015.
• Orcun Göksel, Oscar Alfonso Jimenez-del Toro, Antonio Foncubierta-Rodríguez,
  and Henning Müller. Overview of the visceral challenge at isbi 2015. In OrÃgun
  Göksel, Oscar Alfonso Jimenez-del Toro, Antonio Foncubierta-Rodríguez, and
  Henning Müller, editors, Proceedings of the VISCERAL Anatomy Grand Challenge
  at the 2015 IEEE International Symposium on Biomedical Imaging (ISBI), New
  York, NY, May 2015.

2014

• Abdel Aziz Taha, Allan Hanbury, and Oscar Jimenez. A formal method for selecting
  evaluation metrics for image segmentation. In Image Processing (ICIP), 2014 IEEE
  International Conference on, pages 932–936, Oct 2014.
• Oscar Alfonso Jimenez del Toro, Orcun Goksel, Bjoern Menze, Henning Müller,
  Georg Langs, Marc André Weber, Ivan Eggel, Katharina Gruenberg, Markus Holzer,
  Andras Jakab, Georgios Kontokotsios, Markus Krenn, Tomas Salas Fernandez, Roger
  Schaer, Abdel Aziz Taha, Marianne Winterstein, and Allan Hanbury. Visceral –
  visual concept extraction challenge in radiology: Isbi 2014 challenge organization.
  In Orcun Goksel, editor, Proceedings of the VISCERAL Challenge at ISBI, number
  1194 in CEUR Workshop Proceedings, pages 6–15, 2014.

2013

• Abdel Aziz Taha. The EvaluateSegmentation Tool: An efficient tool for evaluating
  3d medical segmentation using 20 evaluation metrics. https://github.com/Visceral-
  Project/EvaluateSegmentation, 2013.