Lukas Ruff

Medicine · Health Sciences

13h-index1.7kcitations47works3.52yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(16), Anomaly Detection Techniques and Applications(14), AI in cancer detection(13), Network Security and Intrusion Detection(5), Artificial Intelligence in Healthcare and Education(4)

Publications47 total

Mind the Gap: Continuous Magnification Sampling for Pathology Foundation Models
ArXiv.org·2026Open Access
Mind the Gap: Continuous Magnification Sampling for Pathology Foundation Models
arXiv (Cornell University)·2026Open Access
AI-powered spatial cell phenomics enhances risk stratification in non-small cell lung cancer
Nature Communications·2025· 3 citedOpen Access
Towards Robust Foundation Models for Digital Pathology
arXiv (Cornell University)·2025Open Access
AI-powered analysis of the tumor immune microenvironment in lung squamous cell carcinomas with and without neoadjuvant therapy.
Journal of Clinical Oncology·2025
Abstract 3351: From bench to bedside: generalizable AI model for ADC biomarker evaluation in NSCLC
Cancer Research·2025
Combining spatial transcriptomics and ECM imaging in 3D for mapping cellular interactions in the tumor microenvironment
Cell Systems·2025· 13 citedOpen Access
Explainable AI reveals Clever Hans effects in unsupervised learning models
Nature Machine Intelligence·2025· 15 citedOpen Access
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics
arXiv (Cornell University)·2025· 3 citedOpen Access
xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer
arXiv (Cornell University)·2024Open Access
1200 Artificial intelligence image models optimizing tumor vs immune cell profiling for accurate biomarker analysis in NSCLC precision drug development
Regular and Young Investigator Award Abstracts·2024Open Access
Leveraging weak complementary labels enhances semantic segmentation of hepatocellular carcinoma and intrahepatic cholangiocarcinoma
Scientific Reports·2024· 2 citedOpen Access
AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
NEJM AI·2024· 12 citedOpen Access
Dissecting AI-based mutation prediction in lung adenocarcinoma: A comprehensive real-world study
European Journal of Cancer·2024· 9 citedOpen Access
The Clever Hans Effect in Unsupervised Learning
arXiv (Cornell University)·2024Open Access
Combining spatial transcriptomics and ECM imaging in 3D for mapping cellular interactions the tumor microenvironment
Zenodo (CERN European Organization for Nuclear Research)·2024Open Access
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
arXiv (Cornell University)·2024Open Access
Erklärbare Künstliche Intelligenz in der Pathologie
Forum·2024
Abstract 5221: TTF-1 status in early-stage lung adenocarcinoma is an independent predictor of relapse and survival superior to tumor grading
Cancer Research·2024
Abstract 3977: Neoadjuvant chemotherapy and radiation shape the local and regional adaptive antitumor immune response in lung squamous cell carcinomas
Cancer Research·2024
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Frequent Co-authors

Frederick Klauschen(24), Simon Schallenberg(21), Maximilian Alber(18), Klaus‐Robert Müller(14), Gabriel Dernbach(13), Robert A. Vandermeulen(10), Marius Kloft(10), Jonas Dippel(10), David Horst(10), Philipp Jurmeister(9), Kai Standvoss(9), Sharon Ruane(9), Grégoire Montavon(7), Rosemarie Krupar(7), Georg Schlachtenberger(6), Sabine Merkelbach‐Bruse(6), Alexander Quaas(6), Matthias Heldwein(6), Ulrich Keilholz(6), Reinhard Büttner(6)