Mengqi Wu

College of Engineering

2024 article

Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation

MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2023, PT I, Vol. 14348, pp. 1–11.

By: M. Wu n, L. Zhang*, P. Yap*, W. Lin*, H. Zhu* & M. Liu*

author keywords: MRI harmonization; style translation; energy-based model
TL;DR: Qualitative and quantitative results demonstrate the superiority of the disentangled latent energy-based style translation (DLEST) framework for image-level structural MRI harmonization, which generally outperforms several state-of-the-art methods. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: January 8, 2024

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.