Marko Van Treeck

Dresden, SN, Germany

Last Updated: 09/26/2026

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Found 27 publications

Artificial intelligence predicts outcome-related molecular profiles and vascular invasion in hepatocellular carcinoma.

Artificial intelligence predicts outcome-related molecular profiles and vascular invasion in hepatocellular carcinoma.

Journal: JHEP reports : innovation in hepatology

Published: June 06, 2025

Vision-language models for automated video analysis and documentation in laparoscopic surgery: a proof-of-concept study.

Vision-language models for automated video analysis and documentation in laparoscopic surgery: a proof-of-concept study.

Journal: International journal of surgery (London, England)

Published: April 24, 2025

A software pipeline for medical information extraction with large language models, open source and suitable for oncology.

A software pipeline for medical information extraction with large language models, open source and suitable for oncology.

Journal: NPJ precision oncology

Published: March 04, 2025

Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric Study.

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

Deep learning can predict cardiovascular events from liver imaging.

Deep learning can predict cardiovascular events from liver imaging.

Journal: JHEP reports : innovation in hepatology

Published: October 05, 2024

HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancer.

HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancer.

Journal: Nature communications

Published: September 19, 2024

LLM-AIx: An open source pipeline for Information Extraction from unstructured medical text based on privacy preserving Large Language Models.

LLM-AIx: An open source pipeline for Information Extraction from unstructured medical text based on privacy preserving Large Language Models.

Journal: medRxiv : the preprint server for health sciences

Published: September 16, 2024

Benchmarking foundation models as feature extractors for weakly supervised computational pathology.

Benchmarking foundation models as feature extractors for weakly supervised computational pathology.

Journal: Nature biomedical engineering

Published: August 28, 2024

Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study.

Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study.

Journal: The Lancet. Digital health

Published: April 24, 2024

Weakly Supervised Deep Learning Can Analyze Focal Liver Lesions in Contrast-Enhanced Ultrasound.

Weakly Supervised Deep Learning Can Analyze Focal Liver Lesions in Contrast-Enhanced Ultrasound.

Journal: Digestion

Published: April 10, 2024

Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides.

Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides.

Journal: Nature communications

Published: February 29, 2024

Privacy-preserving large language models for structured medical information retrieval.

Privacy-preserving large language models for structured medical information retrieval.

Journal: NPJ digital medicine

Published: January 09, 2024

Showing 1-12 of 27

Last Updated: 09/26/2026