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ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology.

P. Weitz, M. Valkonen, L. Solorzano, C. Carr, K. Kartasalo, C. Boissin, S. Koivukoski, A. Kuusela, D. Rasic, Y. Feng, S. Pouplier, A. Sharma, K. Eriksson, L. Latonen, A. Laenkholm, J. Hartman, P. Ruusuvuori, and M. Rantalainen. CoRR, (2022)

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Gerda Weitz

Fritz Weitz

Anneliese Weitz

Heinrich Weitz

Manfred Weitz

Other publications of authors with the same name

The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue.P. Weitz, M. Valkonen, L. Solorzano, C. Carr, K. Kartasalo, C. Boissin, S. Koivukoski, A. Kuusela, D. Rasic, Y. Feng and 31 other author(s). CoRR, (2023)An investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectives.P. Weitz, Y. Wang, J. Hartman, and M. Rantalainen. ICCVW, page 611-619. IEEE, (2021)Radiomic Feature Stability Analysis based on Probabilistic Segmentations.C. Haarburger, J. Schock, D. Truhn, P. Weitz, L. Weninger, and D. Merhof. CoRR, (2019)Image-based Survival Analysis for Lung Cancer Patients using CNNs.C. Haarburger, P. Weitz, O. Rippel, and D. Merhof. CoRR, (2018)SensInDenT - Noncontact Sensors Integrated Into Dental Treatment Units.D. Teichmann, M. Teichmann, P. Weitz, S. Wolfart, S. Leonhardt, and M. Walter. IEEE Trans. Biomed. Circuits Syst., 11 (1): 225-233 (2017)Increasing the usefulness of already existing annotations through WSI registration.P. Weitz, V. Sartor, B. Acs, S. Robertson, D. Budelmann, J. Hartman, and M. Rantalainen. CoRR, (2023)ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology.P. Weitz, M. Valkonen, L. Solorzano, C. Carr, K. Kartasalo, C. Boissin, S. Koivukoski, A. Kuusela, D. Rasic, Y. Feng and 8 other author(s). CoRR, (2022)Radiomic Feature Stability Analysis Based on Probabilistic Segmentations.C. Haarburger, J. Schock, D. Truhn, P. Weitz, G. Mueller-Franzes, L. Weninger, and D. Merhof. ISBI, page 1188-1192. IEEE, (2020)Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks.P. Weitz, Y. Wang, K. Kartasalo, L. Egevad, J. Lindberg, H. Grönberg, M. Eklund, and M. Rantalainen. CoRR, (2021)Image-Based Survival Prediction for Lung Cancer Patients Using CNNS.C. Haarburger, P. Weitz, O. Rippel, and D. Merhof. ISBI, page 1197-1201. IEEE, (2019)

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Disambiguation of "Weitz, Philippe"

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ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology.

Please choose a person to relate this publication to

Gerda Weitz

Fritz Weitz

Anneliese Weitz

Heinrich Weitz

Manfred Weitz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Weitz, Philippe"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology.

Please choose a person to relate this publication to

Gerda Weitz

Fritz Weitz

Anneliese Weitz

Heinrich Weitz

Manfred Weitz

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

ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology.