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Abdel Aziz Taha

Showing results (1-10 of 9) with videos related to

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BMC Medical Imaging|August 13, 2015
Metrics for evaluating 3D medical image segmentation: analysis, selection, and toolAbdel Aziz Taha, Allan Hanbury
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 7, 2015
An efficient algorithm for calculating the exact Hausdorff distanceAbdel Aziz Taha, Allan Hanbury
BMC Medical Imaging|July 17, 2021
An evaluation of performance measures for arterial brain vessel segmentationOrhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, et al.
European Radiology Experimental|October 31, 2022
Correction: On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for rankingOrhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, et al.
European Radiology Experimental|January 21, 2021
On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for rankingOrhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, et al.
Frontiers in Neuroscience|March 16, 2019
A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular DiseaseMichelle Livne, Jana Rieger, Orhun Utku Aydin, et al.
IEEE Transactions on Medical Imaging|June 16, 2016
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy BenchmarksOscar Jimenez-Del-Toro, Henning Muller, Markus Krenn, et al.
Nature Communications|February 1, 2019
Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with careLena Maier-Hein, Matthias Eisenmann, Annika Reinke, et al.
Nature Communications|December 8, 2018
Why rankings of biomedical image analysis competitions should be interpreted with careLena Maier-Hein, Matthias Eisenmann, Annika Reinke, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
BMC Medical Imaging|August 13, 2015
Metrics for evaluating 3D medical image segmentation: analysis, selection, and toolAbdel Aziz Taha, Allan Hanbury
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 7, 2015
An efficient algorithm for calculating the exact Hausdorff distanceAbdel Aziz Taha, Allan Hanbury
BMC Medical Imaging|July 17, 2021
An evaluation of performance measures for arterial brain vessel segmentationOrhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, et al.
European Radiology Experimental|October 31, 2022
Correction: On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for rankingOrhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, et al.
European Radiology Experimental|January 21, 2021
On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for rankingOrhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, et al.
Frontiers in Neuroscience|March 16, 2019
A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular DiseaseMichelle Livne, Jana Rieger, Orhun Utku Aydin, et al.
IEEE Transactions on Medical Imaging|June 16, 2016
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy BenchmarksOscar Jimenez-Del-Toro, Henning Muller, Markus Krenn, et al.
Nature Communications|February 1, 2019
Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with careLena Maier-Hein, Matthias Eisenmann, Annika Reinke, et al.
Nature Communications|December 8, 2018
Why rankings of biomedical image analysis competitions should be interpreted with careLena Maier-Hein, Matthias Eisenmann, Annika Reinke, et al.
Pageof 1