| 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 | 405 | 2020 |
| Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks M Gao, U Bagci, L Lu, A Wu, M Buty, HC Shin, H Roth, GZ Papadakis, ... Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018 | 170 | 2018 |
| 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, 2014 | 168 | 2014 |
| 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 | 167 | 2012 |
| Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles J Barker, A Hoogi, A Depeursinge, DL Rubin Medical image analysis 30, 60-71, 2016 | 117 | 2016 |
| Clinical data mining: a review J Iavindrasana, G Cohen, A Depeursinge, H Müller, R Meyer, ... Yearbook of medical informatics 18 (01), 121-133, 2009 | 115 | 2009 |
| Near-affine-invariant texture learning for lung tissue analysis using isotropic wavelet frames A Depeursinge, D Van de Ville, A Platon, A Geissbuhler, PA Poletti, ... IEEE Transactions on Information Technology in Biomedicine 16 (4), 665-675, 2012 | 88 | 2012 |
| Lung tissue classification using wavelet frames A Depeursinge, D Sage, A Hidki, A Platon, PA Poletti, M Unser, H Muller 2007 29th Annual International Conference of the IEEE Engineering in …, 2007 | 80 | 2007 |
| Fusion techniques for combining textual and visual information retrieval A Depeursinge, H Müller ImageCLEF, 95-114, 2010 | 77 | 2010 |
| Using MapReduce for Large-Scale Medical Image Analysis D Markonis, R Schaer, I Eggel, H Müller, A Depeursinge The Second IEEE Conference on Healthcare Informatics, Imaging, and Systems …, 2012 | 68 | 2012 |
| Efficient and fully automatic segmentation of the lungs in CT volumes. YD Cid, OAJ Del Toro, A Depeursinge, H Müller VISCERAL Challenge@ ISBI, 31-35, 2015 | 62 | 2015 |
| Automated classification of usual interstitial pneumonia using regional volumetric texture analysis in high-resolution CT A Depeursinge, AS Chin, AN Leung, D Terrone, M Bristow, G Rosen, ... Investigative radiology 50 (4), 261, 2015 | 55 | 2015 |
| On combining image-based and ontological semantic dissimilarities for medical image retrieval applications C Kurtz, A Depeursinge, S Napel, CF Beaulieu, DL Rubin Medical Image Analysis 18 (7), 1082-1100, 2014 | 54 | 2014 |
| Rotation–covariant texture learning using steerable Riesz wavelets A Depeursinge, A Foncubierta-Rodriguez, D Van De Ville, H Muller IEEE Transactions on Image Processing 23 (2), 898-908, 2014 | 53 | 2014 |
| Predicting Visual Semantic Descriptive Terms from Radiological Image Data: Preliminary Results with Liver Lesions in CT A Depeursinge, C Kurtz, C Beaulieu, S Napel, D Rubin IEEE Transactions on Medical Imaging, 1-1, 2014 | 50 | 2014 |
| Multiscale lung texture signature learning using the Riesz transform A Depeursinge, A Foncubierta–Rodriguez, D Van de Ville, H Müller International Conference on Medical Image Computing and Computer-Assisted …, 2012 | 50 | 2012 |
| Comparative performance analysis of state-of-the-art classification algorithms applied to lung tissue categorization A Depeursinge, J Iavindrasana, A Hidki, G Cohen, A Geissbuhler, ... Journal of digital imaging 23 (1), 18-30, 2010 | 49 | 2010 |
| Lung texture classification using locally–oriented Riesz components A Depeursinge, A Foncubierta-Rodriguez, D Van de Ville, H Müller International Conference on Medical Image Computing and Computer-Assisted …, 2011 | 45 | 2011 |
| Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT A Depeursinge, M Yanagawa, AN Leung, DL Rubin Medical physics 42 (4), 2054-2063, 2015 | 43 | 2015 |
| Overview of the predictive value of quantitative 18 FDG PET in head and neck cancer treated with chemoradiotherapy J Castelli, B De Bari, A Depeursinge, A Simon, A Devillers, GR Jimenez, ... Critical reviews in oncology/hematology 108, 40-51, 2016 | 41 | 2016 |
Henning MüllerProfessor in computer science at HES-SO & in radiology at the University of GenevaBestätigte E-Mail-Adresse bei hevs.ch
