| Hierarchical graph representations in digital pathology P Pati, G Jaume, A Foncubierta-Rodriguez, F Feroce, AM Anniciello, ... Medical image analysis 75, 102264, 2022 | 89 | 2022 |
| A high-performance system for robust stain normalization of whole-slide images in histopathology A Anghel, M Stanisavljevic, S Andani, N Papandreou, JH Rüschoff, P Wild, ... Frontiers in medicine 6, 193, 2019 | 87 | 2019 |
| 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 | 83 | 2021 |
| 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 | 73 | 2020 |
| On the role of artificial intelligence in medical imaging of COVID-19 J Born, D Beymer, D Rajan, A Coy, VV Mukherjee, M Manica, P Prasanna, ... Patterns 2 (6), 2021 | 71 | 2021 |
| Wide residual networks for mitosis detection E Zerhouni, D Lányi, M Viana, M Gabrani 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 63 | 2017 |
| 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 | 59 | 2022 |
| Multimedia QoS in consumer terminals RJ Bril, C Hentschel, EFM Steffens, M Gabrani, GC Van Loo, ... 2001 IEEE Workshop on Signal Processing Systems. SiPS 2001. Design and …, 2001 | 53 | 2001 |
| Method and a system for allocation of a budget to a task RJ Bril, EFM Steffens, C Hentschel, M Gabrani, CCAM Van Zon US Patent 7,058,951, 2006 | 50 | 2006 |
| 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 | 44 | 2021 |
| Quantification of tumor heterogeneity: from data acquisition to metric generation A Kashyap, MA Rapsomaniki, V Barros, A Fomitcheva-Khartchenko, ... Trends in Biotechnology 40 (6), 647-676, 2022 | 43 | 2022 |
| Towards explainable graph representations in digital pathology G Jaume, P Pati, A Foncubierta-Rodriguez, F Feroce, G Scognamiglio, ... arXiv preprint arXiv:2007.00311, 2020 | 40 | 2020 |
| 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 | 39 | 2021 |
| Multi-organ gland segmentation using deep learning T Binder, EM Tantaoui, P Pati, R Catena, A Set-Aghayan, M Gabrani Frontiers in medicine 6, 470311, 2019 | 39 | 2019 |
| Scalable algorithms for media processing C Hentschel, R Braspenning, M Gabrani Proceedings 2001 International Conference on Image Processing (Cat. No …, 2001 | 37 | 2001 |
| Tissue staining quality determination NM Arar, M Gabrani, G Kaigala, A Kashyap, AF Khartchenko, P Pati US Patent 10,706,535, 2020 | 34 | 2020 |
| Image-based computational quantification and visualization of genetic alterations and tumour heterogeneity Q Zhong, JH Rüschoff, T Guo, M Gabrani, PJ Schüffler, M Rechsteiner, ... Scientific reports 6 (1), 24146, 2016 | 34 | 2016 |
| IEEE 13th international symposium on biomedical imaging (ISBI) E Zerhouni, B Prisacari, Q Zhong, P Wild, M Gabrani IEEE 1401, 1404, 2016 | 34 | 2016 |
| 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 | 33 | 2021 |
| Surface-based matching using elastic transformations M Gabrani, J Tretiak Pattern Recognition 32 (1), 87-97, 1999 | 33 | 1999 |
Antonio Foncubierta RodríguezIBM ResearchVerified email at zurich.ibm.com
