Jana Lipková

University of California, Irvine — United States

Medicine · Health Sciences

21h-index4.1kcitations63works19.22yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(25), AI in cancer detection(14), Mathematical Biology Tumor Growth(10), Glioma Diagnosis and Treatment(9), Model Reduction and Neural Networks(7)

Publications63 total

Multimodal analysis of whole slide images in colorectal cancer
npj Digital Medicine·2025Open Access
Tackling the next decade of cancer research
Trends in cancer·2025· 2 cited
A Learnable Prior Improves Inverse Tumor Growth Modeling
IEEE Transactions on Medical Imaging·2024· 5 citedOpen Access
The age of foundation models
Nature Reviews Clinical Oncology·2024· 13 cited
Demographic bias in misdiagnosis by computational pathology models
Nature Medicine·2024· 76 cited
Toward image-based personalization of glioblastoma therapy: A clinical and biological validation study of a novel, deep learning-driven tumor growth model
Neuro-Oncology Advances·2023· 4 citedOpen Access
Algorithmic fairness in artificial intelligence for medicine and healthcare
Nature Biomedical Engineering·2023· 472 citedOpen Access
Abstract PR005: Deep learning-based multimodal integration of histology and genomics improves cancer origin prediction
Cancer Research·2023· 2 cited
Towards Image - Based Personalization of Glioblastoma Therapy A Clinical and Biological Validation Study of a Novel, Deep Learning - Driven Tumor Growth Model
2023· 3 citedOpen Access
Abstract A007: Racial disparities bias oncology AI models
Cancer Epidemiology Biomarkers & Prevention·2023
The Liver Tumor Segmentation Benchmark (LiTS)
Medical Image Analysis·2022· 1.0k citedOpen Access
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling
Medical Image Analysis·2022· 27 citedOpen Access
Artificial intelligence for multimodal data integration in oncology
Cancer Cell·2022· 584 citedOpen Access
Pan-cancer integrative histology-genomic analysis via multimodal deep learning
Cancer Cell·2022· 492 citedOpen Access
Deep learning-based integration of histology, radiology, and genomics for improved survival prediction in glioma patients
2022· 2 cited
Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies
Nature Medicine·2022· 88 citedOpen Access
Modelling glioma progression, mass effect and intracranial pressure in patient anatomy
Journal of The Royal Society Interface·2022· 28 citedOpen Access
AI-BASED PATHOLOGY PREDICTS ORIGINS FOR CANCERS OF UNKNOWN PRIMARY
Journal of Pathology Informatics·2022· 29 citedOpen Access
MULTIMODAL AI-BASED ASSESSMENT OF RENAL ALLOGRAFT BIOPSIES
Journal of Pathology Informatics·2022· 1 citedOpen Access
PAN-CANCER INTEGRATIVE HISTOLOGY-GENOMIC ANALYSIS VIA INTERPRETABLE MULTIMODAL DEEP LEARNING
Journal of Pathology Informatics·2022· 12 citedOpen Access
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Frequent Co-authors

Bjoern Menze(26), Benedikt Wiestler(17), Ivan Ezhov(16), Faisal Mahmood(16), Tiffany Chen(15), Ming Y. Lu(14), Richard J. Chen(13), Suprosanna Shit(12), Drew F. K. Williamson(11), Florian Kofler(11), Johannes C. Paetzold(9), Maha Shady(8), Patrick Ferdinand Christ(6), Marie Piraud(6), John Lowengrub(6), Muhammad Shaban(6), Hongwei Li(5), Fernando Navarro(5), Mane Williams(5), Stephanie E. Combs(5)