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Foersch, Sebastian
139
results:
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Format
Online (139)
Mediatypes
Articles (Online) (59)
OpenAccess-fulltext (80)
Languages
english (116)
german (1)
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1
End-to-end prognostication in colorectal cancer by deep lea..:
Jiang, Xiaofeng
;
Hoffmeister, Michael
;
Brenner, Hermann
...
The Lancet Digital Health. 6 (2024) 1 - p. e33-e43 , 2024
Link:
https://doi.org/10.1016/..
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2
Encrypted federated learning for secure decentralized colla..:
Truhn, Daniel
;
Tayebi Arasteh, Soroosh
;
Saldanha, Oliver Lester
...
Medical Image Analysis. 92 (2024) - p. 103059 , 2024
Link:
https://doi.org/10.1016/..
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3
Künstliche Intelligenz in der Pathologie: Status quo und Zu..:
Foersch, Sebastian
;
Schulz, Stefan
best practice onkologie. 19 (2024) 5 - p. 182-191 , 2024
Link:
https://doi.org/10.1007/..
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4
PITX2 as a Sensitive and Specific Marker of Midgut Neuroend..:
Grass, Albert
;
Kasajima, Atsuko
;
Foersch, Sebastian
...
Modern Pathology. 37 (2024) 4 - p. 100442 , 2024
Link:
https://doi.org/10.1016/..
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5
A deep‐learning workflow to predict upper tract urothelial ..:
Angeloni, Miriam
;
van Doeveren, Thomas
;
Lindner, Sebastian
...
The Journal of Pathology: Clinical Research. 10 (2024) 2 - p. , 2024
Link:
https://doi.org/10.1002/..
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6
High expression of insulinoma‐associated protein 1 (INSM1) ..:
Litmeyer, Anne‐Sophie
;
Konukiewitz, Björn
;
Kasajima, Atsuko
...
The Journal of Pathology: Clinical Research. 9 (2023) 6 - p. 498-509 , 2023
Link:
https://doi.org/10.1002/..
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7
An overview and a roadmap for artificial intelligence in he..:
Rösler, Wiebke
;
Altenbuchinger, Michael
;
Baeßler, Bettina
...
Journal of Cancer Research and Clinical Oncology. 149 (2023) 10 - p. 7997-8006 , 2023
Link:
https://doi.org/10.1007/..
?
8
CD15 Is a Risk Predictor and a Novel Target in Clear Cell R..:
Stenzel, Philipp Joachim
;
Schindeldecker, Mario
;
Seidmann, Larissa
...
Pathobiology. 91 (2023) 3 - p. 219-229 , 2023
Link:
https://doi.org/10.1159/..
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9
Transformer-based biomarker prediction from colorectal canc..:
Wagner, Sophia J.
;
Reisenbüchler, Daniel
;
West, Nicholas P.
...
Cancer Cell. 41 (2023) 9 - p. 1650-1661.e4 , 2023
Link:
https://doi.org/10.1016/..
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10
Denoising diffusion probabilistic models for 3D medical ima..:
Khader, Firas
;
Müller-Franzes, Gustav
;
Tayebi Arasteh, Soroosh
...
Scientific Reports. 13 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/..
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11
Extracting structured information from unstructured histopa..:
Truhn, Daniel
;
Loeffler, Chiara ML
;
Müller‐Franzes, Gustav
...
The Journal of Pathology. 262 (2023) 3 - p. 310-319 , 2023
Link:
https://doi.org/10.1002/..
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12
AI in Computational Pathology of Cancer: Improving Diagnost..:
Cifci, Didem
;
Veldhuizen, Gregory P.
;
Foersch, Sebastian
.
Annual Review of Cancer Biology. 7 (2023) 1 - p. 57-71 , 2023
Link:
https://doi.org/10.1146/..
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13
Generalizable biomarker prediction from cancer pathology sl..:
Niehues, Jan Moritz
;
Quirke, Philip
;
West, Nicholas P.
...
Cell Reports Medicine. 4 (2023) 4 - p. 100980 , 2023
Link:
https://doi.org/10.1016/..
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14
Multistain deep learning for prediction of prognosis and th..:
Foersch, Sebastian
;
Glasner, Christina
;
Woerl, Ann-Christin
...
Nature Medicine. 29 (2023) 2 - p. 430-439 , 2023
Link:
https://doi.org/10.1038/..
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15
The future of artificial intelligence in digital pathology ..:
Heinz, Céline N
;
Echle, Amelie
;
Foersch, Sebastian
..
Histopathology. 80 (2022) 7 - p. 1121-1127 , 2022
Link:
https://doi.org/10.1111/..
1-15