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Chiara M L Loeffler

Showing results (1-10 of 12) with videos related to

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Journal of Pathology Informatics|June 12, 2026
SCRIPT: Stratified clinical risk prediction from pathology reports using large language modelsChiara M L Loeffler, Nic G Reitsam, Fabian Wolf, et al.
Biorxiv : the Preprint Server for Biology|January 20, 2025
Deep Learning for Biomarker Discovery in Cancer GenomesMichaela Unger, Chiara M L Loeffler, Laura Žigutytė, et al.
NPJ Precision Oncology|March 28, 2023
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathologyOliver Lester Saldanha, Chiara M L Loeffler, Jan Moritz Niehues, et al.
Histopathology|February 27, 2024
Automated curation of large-scale cancer histopathology image datasets using deep learningLars Hilgers, Narmin Ghaffari Laleh, Nicholas P West, et al.
NPJ Precision Oncology|May 23, 2024
Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathologyMarco Gustav, Nic Gabriel Reitsam, Zunamys I Carrero, et al.
Journal of Cancer Research and Clinical Oncology|March 15, 2023
An overview and a roadmap for artificial intelligence in hematology and oncologyWiebke Rösler, Michael Altenbuchinger, Bettina Baeßler, et al.
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.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Journal of Pathology Informatics|June 12, 2026
SCRIPT: Stratified clinical risk prediction from pathology reports using large language modelsChiara M L Loeffler, Nic G Reitsam, Fabian Wolf, et al.
Biorxiv : the Preprint Server for Biology|January 20, 2025
Deep Learning for Biomarker Discovery in Cancer GenomesMichaela Unger, Chiara M L Loeffler, Laura Žigutytė, et al.
NPJ Precision Oncology|March 28, 2023
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathologyOliver Lester Saldanha, Chiara M L Loeffler, Jan Moritz Niehues, et al.
Histopathology|February 27, 2024
Automated curation of large-scale cancer histopathology image datasets using deep learningLars Hilgers, Narmin Ghaffari Laleh, Nicholas P West, et al.
NPJ Precision Oncology|May 23, 2024
Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathologyMarco Gustav, Nic Gabriel Reitsam, Zunamys I Carrero, et al.
Journal of Cancer Research and Clinical Oncology|March 15, 2023
An overview and a roadmap for artificial intelligence in hematology and oncologyWiebke Rösler, Michael Altenbuchinger, Bettina Baeßler, et al.
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.
Pageof 2