MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain-Reference-Cited by-同舟云学术

MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain

Published:2023-04 Issue:4 Volume:42 Page:1197-1209
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Yu Ziqi¹^ORCID,Han Xiaoyang¹^ORCID,Zhang Shengjie¹^ORCID,Feng Jianfeng¹,Peng Tingying²^ORCID,Zhang Xiao-Yong¹^ORCID

Affiliation:

1. Institute of Science and Technology for Brain-Inspired Intelligence, the MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China

2. Helmholtz AI Central Unit, Helmholtz Zentrum Muenchen, Munich, Germany

Funder

National Natural Science Foundation of China

ShanghaiMunicipal Science and Technology Major Project

ZJLab

Natural Science Foundation of Shanghai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/10091712/09966838.pdf?arnumber=9966838

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5. Multimodal image synthesis based on disentanglement representations of anatomical and modality specific features, learned using uncooperative relativistic GAN

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