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Rikiya Yamashita
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Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision


Apr 01, 2023
Gregory Holste, Douwe van der Wal, Hans Pinckaers, Rikiya Yamashita, Akinori Mitani, Andre Esteva

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* IEEE ISBI 2023 (see http://2023.biomedicalimaging.org/en/) 
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Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models


Aug 24, 2022
Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas Prabhune, Jennifer I. Lim, R. V. P. Chan, Joelle Hallak, Theodore Leng, Daniel Rubin

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Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation


Feb 02, 2021
Rikiya Yamashita, Jin Long, Snikitha Banda, Jeanne Shen, Daniel L. Rubin

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Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset


Oct 15, 2020
Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Zou, Daniel L. Rubin

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Analysis Of Multi Field Of View Cnn And Attention Cnn On H&E Stained Whole-slide Images On Hepatocellular Carcinoma


Feb 18, 2020
Mehmet Burak Sayıcı, Rikiya Yamashita, Jeanne Shen

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* This paper has been withdrawn by the authors due to need for heavy revise 
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