Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool AA Taha, A Hanbury BMC medical imaging 15, 1-28, 2015 | 2367 | 2015 |
Affective image classification using features inspired by psychology and art theory J Machajdik, A Hanbury Proceedings of the 18th ACM international conference on Multimedia, 83-92, 2010 | 991 | 2010 |
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 | 379 | 2015 |
Making sense of big data in health research: towards an EU action plan C Auffray, R Balling, I Barroso, L Bencze, M Benson, J Bergeron, ... Genome medicine 8, 1-13, 2016 | 340 | 2016 |
Efficiently teaching an effective dense retriever with balanced topic aware sampling S Hofstätter, SC Lin, JH Yang, J Lin, A Hanbury Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 313 | 2021 |
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 | 293 | 2018 |
Morphological operators on the unit circle AG Hanbury, J Serra IEEE transactions on image processing 10 (12), 1842-1850, 2001 | 231 | 2001 |
A survey of methods for image annotation A Hanbury Journal of Visual Languages & Computing 19 (5), 617-627, 2008 | 227 | 2008 |
Color based skin classification R Khan, A Hanbury, J Stöttinger, A Bais Pattern Recognition Letters 33 (2), 157-163, 2012 | 202 | 2012 |
Finding defects in texture using regularity and local orientation D Chetverikov, A Hanbury Pattern Recognition 35 (10), 2165-2180, 2002 | 196 | 2002 |
Improving efficient neural ranking models with cross-architecture knowledge distillation S Hofstätter, S Althammer, M Schröder, M Sertkan, A Hanbury arXiv preprint arXiv:2010.02666, 2020 | 194 | 2020 |
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 | 194 | 2016 |
A 3D-polar coordinate colour representation suitable for image analysis A Hanbury, J Serra | 193* | 2002 |
Visual Methods for Analyzing Probabilistic Classification Data B Alsallakh, A Hanbury, H Hauser, S Miksch, A Rauber IEEE Transactions on Visualization and Computer Graphics 20 (12), 1703-1712, 2014 | 152 | 2014 |
Mathematical Morphology in the HLS Colour Space. A Hanbury, J Serra BMVC, 1-10, 2001 | 124 | 2001 |
Utilization and perceived problems of online medical resources and search tools among different groups of European physicians M Kritz, M Gschwandtner, V Stefanov, A Hanbury, M Samwald Journal of medical Internet research 15 (6), e2436, 2013 | 119 | 2013 |
Share/clef ehealth evaluation lab 2014, task 3: User-centred health information retrieval L Goeuriot, L Kelly, W Li, J Palotti, P Pecina, G Zuccon, A Hanbury, ... Proceedings of CLEF 2014, 2014 | 115 | 2014 |
Skin detection: A random forest approach R Khan, A Hanbury, J Stoettinger 2010 IEEE international conference on image processing, 4613-4616, 2010 | 114 | 2010 |
Robust camera self-calibration from monocular images of Manhattan worlds H Wildenauer, A Hanbury 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2831-2838, 2012 | 113 | 2012 |
VISCERAL: towards large data in medical imaging—challenges and directions G Langs, A Hanbury, B Menze, H Müller Medical Content-Based Retrieval for Clinical Decision Support: Third MICCAI …, 2013 | 110 | 2013 |