The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ... Radiology 295 (2), 328-338, 2020 | 2478 | 2020 |
A review of content-based image retrieval systems in medical applications—clinical benefits and future directions H Müller, N Michoux, D Bandon, A Geissbuhler International journal of medical informatics 73 (1), 1-23, 2004 | 2194 | 2004 |
Electromyography data for non-invasive naturally-controlled robotic hand prostheses M Atzori, A Gijsberts, C Castellini, B Caputo, AGM Hager, S Elsig, ... Scientific Data 1 (140053), 1-13, 2014 | 855 | 2014 |
Performance evaluation in content-based image retrieval: Overview and proposals H Muller, W Muller, D Squire Pattern Recognition Letters 22 (5), 593-601, 2001 | 696 | 2001 |
Deep learning with convolutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands M Atzori, M Cognolato, H Müller Frontiers in neurorobotics 10, 9, 2016 | 637 | 2016 |
The iapr tc-12 benchmark: A new evaluation resource for visual information systems M Grubinger, P Clough, H Müller, T Deselaers International workshop ontoImage 2, 2006 | 570 | 2006 |
Image biomarker standardisation initiative. arXiv 2016 A Zwanenburg, S Leger, M Vallières, S Löck arXiv preprint arXiv:1612.07003, 2016 | 511 | 2016 |
Comparison of six electromyography acquisition setups on hand movement classification tasks S Pizzolato, L Tagliapietra, M Cognolato, M Reggiani, H Müller, M Atzori PloS one 12 (10), e0186132, 2017 | 362 | 2017 |
Characterization of a Benchmark Database for Myoelectric Movement Classification M Atzori, A Gijsberts, I Kuzborskij, S Heynen, AG Mittaz Hager, O Deriaz, ... Transactions on Neural Systems and Rehabilitation Engineering, 0-0, 2015 | 295 | 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 | 294 | 2018 |
Building the Ninapro database: A resource for the biorobotics community M Atzori, A Gijsberts, S Heynen, AGM Hager, O Deriaz, P Van Der Smagt, ... 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …, 2012 | 292 | 2012 |
Building a reference multimedia database for interstitial lung diseases A Depeursinge, A Vargas, A Platon, A Geissbuhler, PA Poletti, H Müller Computerized medical imaging and graphics 36 (3), 227-238, 2012 | 281 | 2012 |
ImageCLEF: Experimental Evaluation in Visual Information Retrieval H Müller, P Clough, T Deselaers, B Caputo Springer, 2010 | 272* | 2010 |
Strategies for positive and negative relevance feedback in image retrieval H Muller, W Muller, S Marchand-Maillet, T Pun, DMG Squire Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 268* | 2000 |
Three-dimensional solid texture analysis in biomedical imaging: review and opportunities A Depeursinge, A Foncubierta-Rodriguez, D Van De Ville, H Müller Medical image analysis 18 (1), 176-196, 2014 | 259 | 2014 |
Overview of the imageclefmed 2007 medical retrieval and medical annotation tasks H Müller, T Deselaers, TM Deserno, J Kalpathy–Cramer, E Kim, W Hersh Workshop of the Cross-Language Evaluation Forum for European Languages, 472-491, 2007 | 259 | 2007 |
The truth about corel-evaluation in image retrieval H Müller, S Marchand-Maillet, T Pun ISBN 3-540-43899-8, 2002 | 252 | 2002 |
Movement error rate for evaluation of machine learning methods for sEMG-based hand movement classification A Gijsberts, M Atzori, C Castellini, H Müller, B Caputo IEEE transactions on neural systems and rehabilitation engineering 22 (4 …, 2014 | 236 | 2014 |
Content-based query of image databases: inspirations from text retrieval DMG Squire, W Müller, H Müller, T Pun Pattern Recognition Letters 21 (13-14), 1193-1198, 2000 | 232 | 2000 |
Large-scale retrieval for medical image analytics: A comprehensive review Z Li, X Zhang, H Müller, S Zhang Medical image analysis 43, 66-84, 2018 | 228 | 2018 |