Koh, Dow-Mu

Patient-derived organoids model treatment response of metastatic gastrointestinal cancers

Vlachogiannis, G., Hedayat, S., Vatsiou, A., Jamin, Y., Fernández-Mateos, J., Khan, K., Lampis, A., Eason, K., Huntingford, I., Burke, R., et al. (2018) · Science

Cancer Cells and MetastasisColorectal Cancer Treatments and Studies

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Imaging biomarker roadmap for cancer studies

O'Connor, J. P. B., Aboagye, E. O., Adams, J. E., Aerts, H. J. W. L., Barrington, S. F., Beer, A. J., Boellaard, R., Bohndiek, S. E., Brady, M., Brown, G., et al. (2017) · Nature Reviews Clinical Oncology

Medical Imaging Techniques and ApplicationsRadiomics and Machine Learning in Medical Imaging

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Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Tejani, A. S., Klontzas, M. E., Gatti, A. A., Mongan, J. T., Moy, L., Park, S. H., Kahn, C. E., Panel, F. T. C. 2. U., Abbara, S., Afat, S., et al. (2024) · Radiology: Artificial Intelligence

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

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Liver-specific agents for contrast-enhanced MRI: role in oncological imaging

Thian, Y. L., Riddell, A. M., & Koh, D.-M. (2013) · Cancer Imaging

MRI in cancer diagnosisHepatocellular Carcinoma Treatment and Prognosis

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Medical machine learning operations: A framework to facilitate clinical AI development and deployment in radiology

de Almeida, J. G., Messiou, C., Withey, S. J., Matos, C., Koh, D.-M., & Papanikolaou, N. (2025) · European Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

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Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline

Mese, I., D’Antonoli, T. A., Bluethgen, C., Bressem, K., Cuocolo, R., Chaudhari, A., Tejani, A. S., Isaac, A., Ponsiglione, A., Meddeb, A., et al. (2026) · Diagnostic and Interventional Radiology

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

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