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Computational Immunohistochemistry: Recipes for Standardization of Immunostaining.

N. Arar, P. Pati, A. Kashyap, A. Khartchenko, O. Goksel, G. Kaigala, и M. Gabrani. MICCAI (2), том 10434 из Lecture Notes in Computer Science, стр. 48-55. Springer, (2017)

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Debajyoti Pati

Um pati

Pratap Patil

Nanoscopic metal fluoride based novel solid catalystsP. Patil. HU Berlin, (2008)

Catherine Patiri

Nikitas Patiniotis

Другие публикации лиц с тем же именем

Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer.P. Pati, G. Jaume, Z. Ayadi, K. Thandiackal, B. Bozorgtabar, M. Gabrani, и O. Goksel. CoRR, (2023)HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification.P. Pati, G. Jaume, L. Fernandes, A. Foncubierta-Rodríguez, F. Feroce, A. Anniciello, G. Scognamiglio, N. Brancati, D. Riccio, M. Bonito и 6 other автор(ы). UNSURE/GRAIL@MICCAI, том 12443 из Lecture Notes in Computer Science, стр. 208-219. Springer, (2020)Computational Immunohistochemistry: Recipes for Standardization of Immunostaining.N. Arar, P. Pati, A. Kashyap, A. Khartchenko, O. Goksel, G. Kaigala, и M. Gabrani. MICCAI (2), том 10434 из Lecture Notes in Computer Science, стр. 48-55. Springer, (2017)Histocartography: a pipeline for histology image analysis.A. Foncubierta-Rodríguez, P. Pati, G. Jaume, и M. Gabrani. AMIA, AMIA, (2021)Deep positive-unlabeled learning for region of interest localization in breast tissue images.P. Pati, S. Andani, M. Pediaditis, M. Viana, J. Rüschoff, P. Wild, и M. Gabrani. Medical Imaging: Digital Pathology, том 10581 из SPIE Proceedings, стр. 1058107. SPIE, (2018)Quantifying Explainers of Graph Neural Networks in Computational Pathology.G. Jaume, P. Pati, B. Bozorgtabar, A. Foncubierta-Rodríguez, F. Feroce, A. Anniciello, T. Rau, J. Thiran, M. Gabrani, и O. Goksel. CoRR, (2020)Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains.K. Thandiackal, L. Piccinelli, P. Pati, и O. Goksel. CoRR, (2023)A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology.M. Stanisavljevic, A. Anghel, N. Papandreou, S. Andani, P. Pati, J. Rüschoff, P. Wild, M. Gabrani, и H. Pozidis. ECCV Workshops (6), том 11134 из Lecture Notes in Computer Science, стр. 424-436. Springer, (2018)Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images.K. Thandiackal, B. Chen, P. Pati, G. Jaume, D. Williamson, M. Gabrani, и O. Goksel. ECCV (21), том 13681 из Lecture Notes in Computer Science, стр. 699-715. Springer, (2022)Quantifying Explainers of Graph Neural Networks in Computational Pathology.G. Jaume, P. Pati, B. Bozorgtabar, A. Foncubierta, A. Anniciello, F. Feroce, T. Rau, J. Thiran, M. Gabrani, и O. Goksel. CVPR, стр. 8106-8116. Computer Vision Foundation / IEEE, (2021)

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