Lukas Ruff
Berlin, BE, Germany
Last Updated: 09/26/2026
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Found 10 publications
ADC Target Profiling in NSCLC: Generalizable AI Separates TROP-2 and cMET Phenotypes.
Journal: Clinical cancer research : an official journal of the American Association for Cancer Research
Published: November 25, 2025
Towards robust foundation models for digital pathology.
Journal: Nature communications
Published: July 24, 2025
AI-powered spatial cell phenomics enhances risk stratification in non-small cell lung cancer.
Journal: Nature communications
Published: May 27, 2025
Leveraging weak complementary labels enhances semantic segmentation of hepatocellular carcinoma and intrahepatic cholangiocarcinoma.
Journal: Scientific reports
Published: September 25, 2024
Dissecting AI-based mutation prediction in lung adenocarcinoma: A comprehensive real-world study.
Journal: European journal of cancer (Oxford, England : 1990)
Published: March 12, 2024
Explainable artificial intelligence in pathology
Journal: Pathologie (Heidelberg, Germany)
Published: January 19, 2024
TTF-1 status in early-stage lung adenocarcinoma is an independent predictor of relapse and survival superior to tumor grading.
Journal: European journal of cancer (Oxford, England : 1990)
Published: October 30, 2023
Toward Explainable Artificial Intelligence for Precision Pathology.
Journal: Annual review of pathology
Published: October 23, 2023
From Clustering to Cluster Explanations via Neural Networks.
Journal: IEEE transactions on neural networks and learning systems
Published: July 07, 2022
Showing 1-10 of 10
Last Updated: 09/26/2026