| Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool AA Taha, A Hanbury BMC medical imaging 15, 1-28, 2015 | 2624 | 2015 |
| 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 | 423 | 2015 |
| 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 | 327 | 2018 |
| 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, 97, 2019 | 272 | 2019 |
| Metrics reloaded: recommendations for image analysis validation L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ... Nature methods 21 (2), 195-212, 2024 | 255* | 2024 |
| 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 | 204 | 2016 |
| 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 | 186 | 2021 |
| 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 | 131 | 2021 |
| 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 | 95 | 2020 |
| Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... Nature methods 21 (2), 182-194, 2024 | 76 | 2024 |
| 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 | 43 | 2014 |
| 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 | 42 | 2014 |
| Visualising class distribution on self-organising maps R Mayer, TA Aziz, A Rauber Artificial Neural Networks–ICANN 2007: 17th International Conference, Porto …, 2007 | 34 | 2007 |
| 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 | 23 | 2015 |
| Metrics reloaded: a new recommendation framework for biomedical image analysis validation A Reinke, H Müller Proceedings of the Medical Imaging with Deep Learning (MIDL 2022), 2022 | 16 | 2022 |
| 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, ... (No Title), 2018 | 15 | 2018 |
| 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 | 13 | 2021 |
| Evaluation metrics for medical organ segmentation and lesion detection AA Taha, A Hanbury Cloud-Based Benchmarking of Medical Image Analysis, 87-105, 2017 | 13 | 2017 |
| 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 | 11 | 2022 |
| 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 | 10 | 2020 |
Allan HanburyTU Wien, Complexity Science Hub ViennaVerified email at tuwien.ac.at
