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Jun 14, 2021 · We propose a multi-scale gate mergence based generative adversarial network model, namely MGM-GAN, to synthesize one modality of MRI from others.
Jan 5, 2022 · Extensive experiments demonstrate that the proposed method outperforms the state-of-the-art multi-modal image synthesis methods. Index. Terms— ...
Oct 22, 2024 · A multiscale GAN was proposed in [31] , aiming to the fusion of different MRI modalities into a single synthetic image with richer diagnostic ...
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We propose a multi-modal MRI fusion generative adversarial network (BTMF-GAN) for the task of multi-modal MRI fusion of brain tumors.
Missing: Gate Mergence.
Aug 8, 2022 · We propose a Swin Transformer-based GAN for Multi-Modal Medical Image Translation, named MMTrans. Specifically, MMTrans consists of a generator, a registration ...
This paper systematically summarizes various models of GAN, advantages and challenges of GAN models in medical image fusion field.
Nov 22, 2024 · Multimodal MR image synthesis aims to generate missing modality image by fusing and mapping a few available MRI data.
Through applying different MRI pulse sequences,. 63 multi-contrast images can be acquired while scanning the same anatomy. These images offer physicians. 64.
Missing: Scale Gate Mergence.
By incorporating multi-scale label-wise discriminators and shape consistency-based optimization, the generator aims to produce meaningful, high-quality ...
Missing: Gate Mergence.
Oct 23, 2024 · Multi-Modal MRI Image Synthesis via GAN · With Multi-Scale Gate Mergence. IEEE J Biomed Health Inform 26, 17–26 (2022). 114. Liu, H. et al ...