| 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 | 245 | 2014 |
| 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 | 183 | 2016 |
| Ground truth generation in medical imaging: a crowdsourcing-based iterative approach A Foncubierta Rodríguez, H Müller Proceedings of the ACM multimedia 2012 workshop on Crowdsourcing for …, 2012 | 91 | 2012 |
| Hierarchical graph representations in digital pathology P Pati, G Jaume, A Foncubierta-Rodriguez, F Feroce, AM Anniciello, ... Medical image analysis 75, 102264, 2022 | 62 | 2022 |
| Rotation–covariant texture learning using steerable Riesz wavelets A Depeursinge, A Foncubierta-Rodriguez, D Van de Ville, H Müller IEEE Transactions on Image Processing 23 (2), 898-908, 2013 | 60 | 2013 |
| Quantifying explainers of graph neural networks in computational pathology G Jaume, P Pati, B Bozorgtabar, A Foncubierta, AM Anniciello, F Feroce, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 59 | 2021 |
| Lung texture classification using locally–oriented Riesz components A Depeursinge, A Foncubierta-Rodriguez, D Van de Ville, H Müller Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 57 | 2011 |
| Hact-net: A hierarchical cell-to-tissue graph neural network for histopathological image classification P Pati, G Jaume, LA Fernandes, A Foncubierta-Rodríguez, F Feroce, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020 | 54 | 2020 |
| Multiscale lung texture signature learning using the Riesz transform A Depeursinge, A Foncubierta–Rodriguez, D Van de Ville, H Müller Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012 | 54 | 2012 |
| Using multiscale visual words for lung texture classification and retrieval A Foncubierta-Rodríguez, A Depeursinge, H Müller Medical Content-Based Retrieval for Clinical Decision Support: Second MICCAI …, 2012 | 41 | 2012 |
| Separating compound figures in journal articles to allow for subfigure classification A Chhatkuli, A Foncubierta-Rodríguez, D Markonis, F Meriaudeau, ... Medical Imaging 2013: Advanced PACS-based Imaging Informatics and …, 2013 | 40 | 2013 |
| Towards explainable graph representations in digital pathology G Jaume, P Pati, A Foncubierta-Rodriguez, F Feroce, G Scognamiglio, ... arXiv preprint arXiv:2007.00311, 2020 | 38 | 2020 |
| Medical Image Retrieval using Bag of Meaningful Visual Words: Unsupervised visual vocabulary pruning with PLSA A Foncubierta-Rodríguez, A García Seco de Herrera, H Müller Workshop on Multimedia Information Indexing and Retrieval for Healthcare …, 2013 | 30 | 2013 |
| Histocartography: A toolkit for graph analytics in digital pathology G Jaume, P Pati, V Anklin, A Foncubierta, M Gabrani MICCAI Workshop on Computational Pathology, 117-128, 2021 | 29 | 2021 |
| Crowdsourcing for medical image classification A García Seco de Herrera, A Foncubierta-Rodríguez, D Markonis, ... Swiss Medical Informatics, 2014 | 29 | 2014 |
| Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks P Pati, A Foncubierta-Rodríguez, O Goksel, M Gabrani Medical image analysis 67, 101859, 2021 | 28 | 2021 |
| Learning whole-slide segmentation from inexact and incomplete labels using tissue graphs V Anklin, P Pati, G Jaume, B Bozorgtabar, A Foncubierta-Rodriguez, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 27 | 2021 |
| Overview of the VISCERAL retrieval benchmark 2015 OA Jiménez–del–Toro, A Hanbury, G Langs, A Foncubierta–Rodríguez, ... Multimodal Retrieval in the Medical Domain: First International Workshop …, 2015 | 27 | 2015 |
| Bracs: A dataset for breast carcinoma subtyping in h&e histology images N Brancati, AM Anniciello, P Pati, D Riccio, G Scognamiglio, G Jaume, ... Database 2022, baac093, 2022 | 26 | 2022 |
| Quantification of tumor heterogeneity: from data acquisition to metric generation A Kashyap, MA Rapsomaniki, V Barros, A Fomitcheva-Khartchenko, ... Trends in Biotechnology, 2022 | 25 | 2022 |
Henning MüllerProfessor in computer science at HES-SO & in radiology at the University of GenevaPreverjeni e-poštni naslov na hevs.ch
