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L Loeffler

Showing results (21-30 of 26) with videos related to

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Nature Communications|February 10, 2024
Regression-based Deep-Learning predicts molecular biomarkers from pathology slidesOmar S M El Nahhas, Chiara M L Loeffler, Zunamys I Carrero, 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 StudyMarco 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 studyMarco Gustav, Marko van Treeck, Nic G Reitsam, et al.
Nature Communications|August 14, 2025
HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancerChiara M L Loeffler, Hideaki Bando, Srividhya Sainath, et al.
Nature Communications|July 1, 2026
A deep learning framework for efficient pathology image analysisPeter Neidlinger, Tim Lenz, Sebastian Foersch, et al.
Nature Communications|March 2, 2025
Multimodal histopathologic models stratify hormone receptor-positive early breast cancerKevin M Boehm, Omar S M El Nahhas, Antonio Marra, et al.
Pageof 3

Showing results (21-30 of 26) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 26 results.
Nature Communications|February 10, 2024
Regression-based Deep-Learning predicts molecular biomarkers from pathology slidesOmar S M El Nahhas, Chiara M L Loeffler, Zunamys I Carrero, 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 StudyMarco 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 studyMarco Gustav, Marko van Treeck, Nic G Reitsam, et al.
Nature Communications|August 14, 2025
HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancerChiara M L Loeffler, Hideaki Bando, Srividhya Sainath, et al.
Nature Communications|July 1, 2026
A deep learning framework for efficient pathology image analysisPeter Neidlinger, Tim Lenz, Sebastian Foersch, et al.
Nature Communications|March 2, 2025
Multimodal histopathologic models stratify hormone receptor-positive early breast cancerKevin M Boehm, Omar S M El Nahhas, Antonio Marra, et al.
Pageof 3