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Rikiya Yamashita
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2020 – today
- 2024
- [j2]Wei Shao, 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:
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate. Comput. Biol. Medicine 173: 108318 (2024) - 2023
- [c2]Gregory Holste, Douwe van der Wal, Hans Pinckaers, Rikiya Yamashita, Akinori Mitani, Andre Esteva:
Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision. ISBI 2023: 1-5 - [i4]Gregory Holste, Douwe van der Wal, Hans Pinckaers, Rikiya Yamashita, Akinori Mitani, Andre Esteva:
Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision. CoRR abs/2304.00379 (2023) - 2022
- [i3]Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas Prabhune, Jennifer I. Lim, R. V. P. Chan, Joelle A. Hallak, Theodore Leng, Daniel L. Rubin:
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models. CoRR abs/2208.11563 (2022) - 2021
- [j1]Rikiya Yamashita, Jin Long, Snikitha Banda, Jeanne Shen, Daniel L. Rubin:
Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation. IEEE Trans. Medical Imaging 40(12): 3945-3954 (2021) - [i2]Rikiya Yamashita, Jin Long, Snikitha Banda, Jeanne Shen, Daniel L. Rubin:
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation. CoRR abs/2102.01678 (2021) - 2020
- [i1]Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Y. Zou, Daniel L. Rubin:
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset. CoRR abs/2010.08006 (2020)
2010 – 2019
- 2018
- [c1]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:
Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors. Medical Imaging: Computer-Aided Diagnosis 2018: 105751N
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last updated on 2024-10-07 22:10 CEST by the dblp team
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