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Thomas Fuchs

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Deep interactive learning: An efficient labeling approach for deep learning-based osteosarcoma treatment response assessment

Conference Paper

Ho, D. J.; Agaram, N. P.; Schüffler, P. J.; Vanderbilt, C. M.; Jean, M. H.; Hameed, M. R.; Fuchs, T. J.
Springer (2020)

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Unsupervised subtyping of cholangiocarcinoma using a deep clustering convolutional autoencoder

Conference Paper

Muhammad, H.; Sigel, C. S.; Campanella, G.; Boerner, T.; Pak, L. M.; Büttner, S.; Ijzermans, J. N. M.; Koerkamp, B. G.; Doukas, M.; Jarnagin, W. R.; more...
Springer (2019)

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Survival modeling of pancreatic cancer with radiology using convolutional neural networks

Conference Paper

Muhammad, H.; Häggström, I.; Klimstra, D. S.; Fuchs, T. J.
Springer (2018)

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DeepScope: Nonintrusive whole slide saliency annotation and prediction from pathologists at the microscope

Conference Paper

Schaumberg, A. J.; Sirintrapun, S. J.; Al-Ahmadie, H. A.; Schüffler, P. J.; Fuchs, T. J.
Springer (2017)

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