Yamashita, Rikiya

Convolutional neural networks: an overview and application in radiology

Yamashita, R., Nishio, M., Do, R. K. G., & Togashi, K. (2018) · Insights into Imaging

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

Cited by 4,682

Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study

Yamashita, R., Long, J., Longacre, T., Peng, L., Berry, G., Martin, B., Higgins, J., Rubin, D. L., & Shen, J. (2021) · The Lancet Oncology

AI in cancer detectionGenetic factors in colorectal cancer

Cited by 391

Artificial intelligence predictive model for hormone therapy use in prostate cancer

Spratt, D. E., Tang, S., Sun, Y., Huang, H.-C., Chen, E., Mohamad, O., Armstrong, A. J., Tward, J. D., Nguyen, P. L., Lang, J. M., et al. (2023) · NEJM Evidence

Prostate Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging

Cited by 153

Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation

Yamashita, R., Perrin, T., Chakraborty, J., Chou, J. F., Horvat, N., Koszalka, M. A., Midya, A., Gonen, M., Allen, P., Jarnagin, W. R., et al. (2020) · European Radiology

Radiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and Applications

Cited by 76

External validation of a digital pathology-based multimodal artificial intelligence architecture in the NRG/RTOG 9902 phase 3 trial

Ross, A. E., Zhang, J., Huang, H.-C., Yamashita, R., Keim-Malpass, J., Simko, J. P., DeVries, S., Morgan, T. M., Souhami, L., Dobelbower, M. C., et al. (2024) · European Urology Oncology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 35

Validation of an artificial intelligence-based prognostic biomarker in patients with oligometastatic Castration-Sensitive prostate cancer

Wang, J. H., Deek, M. P., Mendes, A. A., Song, Y., Shetty, A., Bazyar, S., Van der Eecken, K., Chen, E., Showalter, T. N., Royce, T. J., et al. (2025) · Radiotherapy and Oncology

Prostate Cancer Treatment and ResearchRadiomics and Machine Learning in Medical Imaging

Cited by 25

RAPHIA: a deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate

Shao, W., Vesal, S., Soerensen, S. J. C., Bhattacharya, I., Golestani, N., Yamashita, R., Kunder, C. A., Fan, R. E., Ghanouni, P., Brooks, J. D., et al. (2024) · Computers in Biology and Medicine

Medical Image Segmentation TechniquesAI in cancer detection

Cited by 13