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Cell Reports. Medicine
|
March 23, 2023
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study
Jan Moritz Niehues, Philip Quirke, Nicholas P West, et al.
Journal of Experimental & Clinical Cancer Research : CR
|
February 26, 2026
A translational colorectal cancer organoid biobank mirrors patients' tumor histology, molecular profiles, and treatment responses
Moritz Jesinghaus, Miguel Gomes Silva, Antonio Enrico Zaurito, et al.
British Journal of Cancer
|
July 21, 2022
pT3 colorectal cancer revisited: a multicentric study on the histological depth of invasion in more than 1000 pT3 carcinomas-proposal for a new pT3a/pT3b subclassification
Sebastian Foersch, Corinna Lang-Schwarz, Markus Eckstein, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
February 3, 2024
PITX2 as a Sensitive and Specific Marker of Midgut Neuroendocrine Tumors: Results from a Cohort of 1157 Primary Neuroendocrine Neoplasms
Albert Grass, Atsuko Kasajima, Sebastian Foersch, et al.
Gut
|
December 4, 2021
Neutrophils prevent rectal bleeding in ulcerative colitis by peptidyl-arginine deiminase-4-dependent immunothrombosis
Moritz Leppkes, Aylin Lindemann, Stefanie Gößwein, et al.
Medrxiv : the Preprint Server for Health Sciences
|
February 20, 2025
Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric Study
Marco Gustav, Marko van Treeck, Nic G Reitsam, et al.
The Lancet. Digital Health
|
August 19, 2025
Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study
Marco Gustav, Marko van Treeck, Nic G Reitsam, et al.
The Journal of Pathology
|
February 20, 2026
Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response
Nic G Reitsam, Xiaofeng Jiang, Junhao Liang, et al.
Nature Communications
|
August 14, 2025
HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancer
Chiara M L Loeffler, Hideaki Bando, Srividhya Sainath, et al.
Nature Communications
|
July 1, 2026
A deep learning framework for efficient pathology image analysis
Peter Neidlinger, Tim Lenz, Sebastian Foersch, et al.
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Search research articles
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Showing results (61-70 of 73) with videos related to
Sort By:
Page
of 8
Cell Reports. Medicine
|
March 23, 2023
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study
Jan Moritz Niehues, Philip Quirke, Nicholas P West, et al.
Journal of Experimental & Clinical Cancer Research : CR
|
February 26, 2026
A translational colorectal cancer organoid biobank mirrors patients' tumor histology, molecular profiles, and treatment responses
Moritz Jesinghaus, Miguel Gomes Silva, Antonio Enrico Zaurito, et al.
British Journal of Cancer
|
July 21, 2022
pT3 colorectal cancer revisited: a multicentric study on the histological depth of invasion in more than 1000 pT3 carcinomas-proposal for a new pT3a/pT3b subclassification
Sebastian Foersch, Corinna Lang-Schwarz, Markus Eckstein, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
February 3, 2024
PITX2 as a Sensitive and Specific Marker of Midgut Neuroendocrine Tumors: Results from a Cohort of 1157 Primary Neuroendocrine Neoplasms
Albert Grass, Atsuko Kasajima, Sebastian Foersch, et al.
Gut
|
December 4, 2021
Neutrophils prevent rectal bleeding in ulcerative colitis by peptidyl-arginine deiminase-4-dependent immunothrombosis
Moritz Leppkes, Aylin Lindemann, Stefanie Gößwein, et al.
Medrxiv : the Preprint Server for Health Sciences
|
February 20, 2025
Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric Study
Marco Gustav, Marko van Treeck, Nic G Reitsam, et al.
The Lancet. Digital Health
|
August 19, 2025
Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study
Marco Gustav, Marko van Treeck, Nic G Reitsam, et al.
The Journal of Pathology
|
February 20, 2026
Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response
Nic G Reitsam, Xiaofeng Jiang, Junhao Liang, et al.
Nature Communications
|
August 14, 2025
HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancer
Chiara M L Loeffler, Hideaki Bando, Srividhya Sainath, et al.
Nature Communications
|
July 1, 2026
A deep learning framework for efficient pathology image analysis
Peter Neidlinger, Tim Lenz, Sebastian Foersch, et al.
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