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Tiffany Chen

McMaster University · CA
Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, CAR-T cell therapy research, and Cardiac Valve Diseases and Treatments.
h-index
28
citations
5,850
works
137
NIH funding
primary concept
Medicine
email

Recent publications

Glioma-neuronal circuit remodeling induces regional immunosuppression
Nature Communications 2025cited by 21position: middledoi
Demographic bias in misdiagnosis by computational pathology models
Nature Medicine 2024cited by 98position: middledoi
Enhancing CAR-T cell metabolism to overcome hypoxic conditions in the brain tumor microenvironment
JCI Insight 2024cited by 39position: middledoi
Algorithmic fairness in artificial intelligence for medicine and healthcare
Nature Biomedical Engineering 2023cited by 550position: middledoi
Artificial intelligence for multimodal data integration in oncology
Cancer Cell 2022cited by 654position: middledoi
Pan-cancer integrative histology-genomic analysis via multimodal deep learning
Cancer Cell 2022cited by 539position: middledoi
Fast and scalable search of whole-slide images via self-supervised deep learning
Nature Biomedical Engineering 2022cited by 114position: middledoi
Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies
Nature Medicine 2022cited by 92position: middledoi
A deep-learning model for transforming the style of tissue images from cryosectioned to formalin-fixed and paraffin-embedded
Nature Biomedical Engineering 2022cited by 88position: middledoi
Bioprosthetic Aortic Valve Hemodynamics: Definitions, Outcomes, and Evidence Gaps
Journal of the American College of Cardiology 2022cited by 61position: middledoi
Characterization of initial/early histologic features of proliferative leukoplakia and correlation with malignant transformation: a multicenter study
Modern Pathology 2022cited by 26position: middledoi
Synthetic data in machine learning for medicine and healthcare
Nature Biomedical Engineering 2021cited by 682position: middledoi
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images
2021 IEEE/CVF International Conference on Computer Vision (ICCV) 2021cited by 310position: middledoi
Impact of mentoring on socio‐emotional and mental health outcomes of youth with learning disabilities and attention‐deficit hyperactivity disorder
Child and Adolescent Mental Health 2019cited by 46position: middledoi
HPV-related Multiphenotypic Sinonasal Carcinoma
The American Journal of Surgical Pathology 2017cited by 199position: middledoi
The self-management balancing act of spousal care partners in the case of Parkinson’s disease
Disability and Rehabilitation 2017cited by 38position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Ming Y. Lu · Harvard University9 papers (2021–2024)Faisal Mahmood · Aga Khan University Hospital9 papers (2021–2024)Drew F. K. Williamson · Harvard University8 papers (2021–2024)Richard J. Chen · The Alfred Hospital7 papers (2021–2024)Jana Lipková · University of California, Irvine5 papers (2022–2024)Maha Shady · Broad Institute3 papers (2021–2022)Muhammad Shaban · Broad Institute3 papers (2022–2024)Zahra Noor · Harvard University2 papers (2022–2022) · 2 papers (2022–2022)Chengkuan Chen · Broad Institute2 papers (2022–2022)Takahide Nejo · University of California, San Francisco2 papers (2024–2025) · 2 papers (2022–2022)Hideho Okada · City College of San Francisco2 papers (2024–2025) · 2 papers (2022–2022)Mehmet Turan · Boğaziçi University2 papers (2022–2022)Akane Yamamichi · University of California, San Francisco2 papers (2024–2025)Mane Williams · Dana-Farber Cancer Institute2 papers (2022–2022)Anurag Vaidya · Massachusetts Institute of Technology2 papers (2022–2024)Wei‐Hung Weng · Massachusetts Institute of Technology1 papers (2021–2021)Senthilnath Lakshmanachetty · University of California, San Francisco1 papers (2025–2025)