Sharon Ruane

Medicine · Health Sciences

3h-index25citations13works3.02yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(7), Cancer Cells and Metastasis(3), AI in cancer detection(3), Single-cell and spatial transcriptomics(3), Lung Cancer Diagnosis and Treatment(2)

Publications13 total

AI-powered spatial cell phenomics enhances risk stratification in non-small cell lung cancer
Nature Communications·2025· 3 citedOpen 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
An integrated approach identifies the molecular underpinnings of murine anterior visceral endoderm migration
Developmental Cell·2024· 12 citedOpen Access
Abstract 3977: Neoadjuvant chemotherapy and radiation shape the local and regional adaptive antitumor immune response in lung squamous cell carcinomas
Cancer Research·2024
Abstract 5222: AI-driven, mIF-based cell-omics reveals spatially resolved cell signature for outcome prediction in NSCLC patients
Cancer Research·2024
970 Multiplex-immunofluorescence-based spatial characterization of the tumor-microenvironment of a large bicentric clinical non-small cell lung cancer cohort
Regular and Young Investigator Award Abstracts·2023Open Access
1283 A novel, scalable deep learning-based approach to automated quality control of multiplex immunofluorescence images
Regular and Young Investigator Award Abstracts·2023Open Access
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
Abstract 457: Immunohistochemistry-informed AI systems for improved characterization of tumor-microenvironment in clinical non-small cell lung cancer H&E samples
Cancer Research·2022
Characterisation of the transcriptional dynamics underpinning the function, fate, and migration of the mouse Anterior Visceral Endoderm
2021· 10 citedOpen Access
Investigating the molecular regulation and morphological dynamics of the Visceral Endoderm
2016Open Access

Frequent Co-authors

Lukas Ruff(9), Simon Schallenberg(8), Maximilian Alber(8), Frederick Klauschen(6), Cornelius Böhm(5), Rosemarie Krupar(5), Gabriel Dernbach(4), Sandip Ghosh(4), Kai Standvoss(3), Mihnea P. Dragomir(3), Corinna Friedrich(3), Sabine Merkelbach‐Bruse(3), Alexander Quaas(3), Nikolaj Frost(3), Kyrill Boschung(3), Winfried Randerath(3), Georg Schlachtenberger(3), Matthias Heldwein(3), Ulrich Keilholz(3), Khosro Hekmat(3)