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Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images.

G. Campanella, R. Kwan, E. Fluder, J. Zeng, A. Stock, B. Veremis, A. Polydorides, C. Hedvat, A. Schoenfeld, C. Vanderbilt, P. Kovatch, C. Cordon-Cardo, and T. Fuchs. CoRR, (2023)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Davide Campanella

Anthony Philip Campanella

Gabriele Graefen

Der wissenschaftliche Artikel: Textart und TextorganisationG. Graefen. Uni Dortmund, (1996)

Giuseppina Gabriele

Gabriele Berberich

Other publications of authors with the same name

Deep conditional transformation models for survival analysis.G. Campanella, L. Kook, I. Häggström, T. Hothorn, and T. Fuchs. CoRR, (2022)Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology.G. Campanella, V. Silva, and T. Fuchs. CoRR, (2018)Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images.G. Campanella, R. Kwan, E. Fluder, J. Zeng, A. Stock, B. Veremis, A. Polydorides, C. Hedvat, A. Schoenfeld, C. Vanderbilt and 3 other author(s). CoRR, (2023)H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma.G. Campanella, D. Ho, I. Häggström, A. Becker, J. Chang, C. Vanderbilt, and T. Fuchs. CoRR, (2022)Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning.C. Xie, H. Muhammad, C. Vanderbilt, R. Caso, D. Yarlagadda, G. Campanella, and T. Fuchs. MIDL, volume 121 of Proceedings of Machine Learning Research, page 843-856. PMLR, (2020)Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology.G. Campanella, A. Rajanna, L. Corsale, P. Schüffler, Y. Yagi, and T. Fuchs. Comput. Medical Imaging Graph., (2018)Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder.H. Muhammad, C. Sigel, G. Campanella, T. Börner, L. Pak, S. Büttner, J. IJzermans, B. Koerkamp, M. Doukas, W. Jarnagin and 2 other author(s). MICCAI (1), volume 11764 of Lecture Notes in Computer Science, page 604-612. Springer, (2019)Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary.H. Muhammad, C. Sigel, G. Campanella, T. Börner, L. Pak, S. Büttner, J. IJzermans, B. Koerkamp, M. Doukas, W. Jarnagin and 2 other author(s). CoRR, (2019)DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem.I. Häggström, C. Schmidtlein, G. Campanella, and T. Fuchs. Medical Image Anal., (2019)DeepRec: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem.I. Haeggstroem, C. Schmidtlein, G. Campanella, and T. Fuchs. CoRR, (2018)

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Disambiguation of "Campanella, Gabriele"

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Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images.

Please choose a person to relate this publication to

Davide Campanella

Anthony Philip Campanella

Gabriele Graefen

Giuseppina Gabriele

Gabriele Berberich

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Campanella, Gabriele"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images.

Please choose a person to relate this publication to

Davide Campanella

Anthony Philip Campanella

Gabriele Graefen

Giuseppina Gabriele

Gabriele Berberich

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images.