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Hisaichi Shibata

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Articles

Identity Diffuser: Preserving Abnormal Region of Interests While Diffusing Identity

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By Hisaichi Shibata, Shouhei Hanaoka, Saori Koshino, Soichiro Miki
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Applied Sciences | Free Full-Text | Practical Medical Image Generation with Provable Privacy Protection Based on Denoising Diffusion Probabilistic Models for High-Resolution Volumetric Images

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By Hisaichi Shibata, Shouhei Hanaoka, Takahiro Nakao, Tomohiro Kikuchi
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared View Duplicates (289) Issue with article?

Local Differential Privacy Image Generation Using Flow-Based Deep Generative Models

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By Shouhei Hanaoka, Yang Cao, Hisaichi Shibata, Masatoshi Yoshikawa
| MDPI
1. Introduction Diagnostic radiologists need artificial intelligence (AI) for medical imaging to reduce workloads and enhance productivity. However, access to medical images required for the training of AI has become increasingly restrictive owing to the increasing demands for the protection of personal information in each country. Moreover, data use agreements bind the purpose of use for even medical image datasets open to researchers upon request (e.g., [1]).
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