Rosemarie Krupar

Medicine · Health Sciences

18h-index862citations58works0.12yr avg
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Research Topics

Cancer Immunotherapy and Biomarkers(19), Head and Neck Cancer Studies(13), Immune cells in cancer(9), Immunotherapy and Immune Responses(7), Radiomics and Machine Learning in Medical Imaging(6)

Publications58 total

ADC target profiling in NSCLC: Generalizable AI separates TROP-2 and cMET phenotypes
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
ADC target profiling in NSCLC: Generalizable AI separates TROP-2 and cMET phenotypes
Zenodo (CERN European Organization for Nuclear Research)·2026Open 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
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
915P Longer OS and RFS for CD3high/PD-L1+ head and neck squamous cell carcinoma (HNSCC) patients
Annals of Oncology·2024· 1 citedOpen Access
Die Kombination aus dichtem T-Zell-Infiltrat und PD-L1 Expression identifiziert Kopf-Hals-Tumor Patienten mit besonders guter Prognose
Laryngo-Rhino-Otologie·2024
Combining CD3 density and PD-L1 expression into one prognostic factor identifies patients with an exceptional prognosis
Laryngo-Rhino-Otologie·2024
Abstract 3977: Neoadjuvant chemotherapy and radiation shape the local and regional adaptive antitumor immune response in lung squamous cell carcinomas
Cancer Research·2024
Organisierende Pneumonie
2024
1276 Leveraging artificial intelligence (AI) models delineating tumor vs immune cell expression for scalable biomarker analysis of clinical trial samples: a digital image analysis approach for NSCLC
Regular and Young Investigator Award Abstracts·2023Open Access
Abstract 5423: AI powered quantification of mitotic rate in H&E stained tissue detects significant differences between treatment groups of preclinical pancreas cancer xenografts
Cancer Research·2023
Abstract 5441: Cell cycle arrest status predicted from H&E stained images using deep learning
Cancer Research·2023
Comparison of ROS1-rearrangement detection methods in a cohort of surgically resected non-small cell lung carcinomas
Translational Lung Cancer Research·2022· 6 citedOpen Access
Die Tumormikroumgebung – Relaisstation für Prognose und Therapieverhalten
Die Pathologie·2022· 2 cited
The Gene Expression Landscape of Prostate Cancer BM Reveals Close Interaction with the Bone Microenvironment
International Journal of Molecular Sciences·2022· 9 citedOpen Access
Mapping of ICD-O Tuples to OncoTree Codes Using SNOMED CT Post-Coordination
Studies in health technology and informatics·2022· 7 citedOpen Access
Impact of Spatially Heterogeneous Trop-2 Expression on Prognosis in Oral Squamous Cell Carcinoma
International Journal of Molecular Sciences·2021· 40 citedOpen Access
Spatial Distribution of Immune Cells in Head and Neck Squamous Cell Carcinomas
Frontiers in Oncology·2021· 10 citedOpen Access
Delta-Like Protein 3 Expression in Paired Chemonaive and Chemorelapsed Small Cell Lung Cancer Samples
Frontiers in Medicine·2021· 23 citedOpen Access
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Frequent Co-authors

Sven Perner(23), Andrew G. Sikora(16), Christian Idel(15), Julika Ribbat‐Idel(15), Anne Offermann(10), Christian Watermann(9), Jutta Kirfel(8), Barbara Wollenberg(8), Simon Laban(8), Sacha Gnjatic(7), Falguni Parikh(6), Simon Schallenberg(6), Anja‐Katrin Bosserhoff(5), Patrick Kuppler(5), Lukas Ruff(5), Sharon Ruane(5), Yvonne M. Saenger(4), Padmini Jayaraman(4), Claus Hellerbrand(4), Helen Pasternack(4)