Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors. - Jayasree Chakraborty; Alessandra Pulvirenti; Rikiya Yamashita; Abhishek Midya; Mithat Gönen; David S. Klimstra; Diane L. Reidy; Peter J. Allen; Richard K. G. Do; Amber L. Simpson (Computer-Aided Diagnosis, 2018)

Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset. - Siyi Tang; Amirata Ghorbani; Rikiya Yamashita; Sameer Rehman; Jared A. Dunnmon; James Y. Zou; Daniel L. Rubin (CoRR, 2020)

Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation. - Rikiya Yamashita; Jin Long; Snikitha Banda; Jeanne Shen; Daniel L. Rubin (IEEE Trans. Medical Imaging, 2021)

Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models. - Minhaj Nur Alam; Rikiya Yamashita; Vignav Ramesh; Tejas S. Prabhune; Jennifer I. Lim; R. V. P. Chan; Joelle A. Hallak; Theodore Leng; Daniel L. Rubin (CoRR, 2022)

Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision. - Gregory Holste; Douwe van der Wal; Hans Pinckaers; Rikiya Yamashita; Akinori Mitani; Andre Esteva (ISBI, 2023)

RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate. - Wei Shao 008; Sulaiman Vesal; Simon J. C. Soerensen; Indrani Bhattacharya; Negar Golestani; Rikiya Yamashita; Christian A. Kunder; Richard E. Fan; Pejman Ghanouni; James D. Brooks; Geoffrey A. Sonn; Mirabela Rusu (Comput. Biol. Medicine, 2024)