Marco Gustav
Dresden, SN, Germany
Last Updated: 09/26/2026
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Found 15 publications
Established machine learning matches tabular foundation models in clinical predictions.
Journal: BMC medical informatics and decision making
Published: February 21, 2026
Prediction of Mutations and Outcome in Gastrointestinal Stromal Tumors with Deep Learning: A Multicenter, Multinational Study.
Journal: medRxiv : the preprint server for health sciences
Published: February 12, 2026
Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors.
Journal: Cancer research
Published: January 12, 2026
Mutation enrichment in targeted panels flags immunotherapy-responsive POLE-driven hypermutated microsatellite-stable colorectal cancers.
Journal: NPJ precision oncology
Published: October 15, 2025
A deep learning framework for efficient pathology image analysis.
Journal: Nature communications
Published: October 14, 2025
Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response.
Journal: The Journal of pathology
Published: September 20, 2025
Spatial biomarker discovery via interpretable semantic learning in histopathology.
Journal: Cancer cell
Published: September 20, 2025
Application of artificial intelligence and digital tools in cancer pathology.
Journal: The Lancet. Digital health
Published: August 12, 2025
Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric Study.
Journal: medRxiv : the preprint server for health sciences
Published: February 20, 2025
Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study.
Journal: The Lancet. Digital health
Published: April 24, 2024
Last Updated: 09/26/2026