| 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 | 2914 | 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 | 303 | 2018 |
| 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 | 289 | 2012 |
| 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 | 269 | 2014 |
| 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 | 235 | 2016 |
| Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography A Depeursinge, D Racoceanu, J Iavindrasana, G Cohen, A Platon, ... | 201 | 2010 |
| Head and neck tumor segmentation in PET/CT: the HECKTOR challenge V Oreiller, V Andrearczyk, M Jreige, S Boughdad, H Elhalawani, J Castelli, ... Medical image analysis 77, 102336, 2022 | 199 | 2022 |
| Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images V Andrearczyk, V Oreiller, S Boughdad, CCL Rest, H Elhalawani, ... 3D head and neck tumor segmentation in PET/CT challenge, 1-37, 2021 | 189 | 2021 |
| Clinical data mining: a review J Iavindrasana, G Cohen, A Depeursinge, H Müller, R Meyer, ... Yearbook of medical informatics 18 (01), 121-133, 2009 | 159 | 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 | 112 | 2012 |
| Overview of the HECKTOR challenge at MICCAI 2020: automatic head and neck tumor segmentation in PET/CT V Andrearczyk, V Oreiller, M Jreige, M Vallieres, J Castelli, H Elhalawani, ... Head and Neck Tumor Segmentation: First Challenge, HECKTOR 2020, Held in …, 2021 | 105 | 2021 |
| Automated classification of usual interstitial pneumonia using regional volumetric texture analysis in high-resolution computed tomography A Depeursinge, AS Chin, AN Leung, D Terrone, M Bristow, G Rosen, ... Investigative radiology 50 (4), 261-267, 2015 | 97 | 2015 |
| A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences M Graziani, L Dutkiewicz, D Calvaresi, JP Amorim, K Yordanova, M Vered, ... Artificial intelligence review 56 (4), 3473-3504, 2023 | 90 | 2023 |
| 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 | 89 | 2015 |
| Biomedical Texture Operators and Aggregation Functions: A Methodological Review and User's Guide A Depeursinge, J Fageot Biomedical Texture Analysis, 55-94, 2017 | 87* | 2017 |
| Fusion techniques for combining textual and visual information retrieval A Depeursinge, H Müller ImageCLEF: Experimental Evaluation in Visual Information Retrieval, 95-114, 2010 | 87 | 2010 |
| 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 | 87 | 2007 |
| Automatic segmentation of head and neck tumors and nodal metastases in PET-CT scans V Andrearczyk, V Oreiller, M Vallières, J Castelli, H Elhalawani, M Jreige, ... Medical imaging with deep learning, 33-43, 2020 | 86 | 2020 |
| 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 | 83 | 2012 |
| Fundamentals of Texture Processing for Biomedical Image Analysis: A General Definition and Problem Formulation A Depeursinge, J Fageot, OS Al-Kadi Biomedical Texture Analysis, 1-27, 2017 | 82* | 2017 |
Henning MüllerProfessor in computer science at HES-SO & in radiology at the University of GenevaE-mail confirmado em hevs.ch
