NettetUsing the subsequently learned modality-invariant information as well as the modality-translated images, MouseGAN++ can segment fine brain structures with averaged dice coefficients of 90.0% (T2w ... NettetOur results demonstrate that MouseGAN++, as a simultaneous image synthesis and segmentation method, can be used to fuse cross-modality information in an unpaired …

Altmetric – MouseGAN++: Unsupervised Disentanglement and …

NettetRecently, research teams led by Dr. Xi ao-Yong Zhang at ISTBI and Dr. Tingying Peng at Helmholtz AI developed an deep learning-based framework, MouseGAN++, for simultaneous image synthesis and segmentation for mouse brain MRI. Based on a disentangled representation of content and style attributes strengthened by contrastive … NettetContribute to yu02024/BEN development by creating an account on GitHub. Feature Description Colab link; Transferability & flexibility: BEN outperforms traditional SOTA methods and advantageously adapts to datasets from diverse domains across multiple species [1], modalities [2], and MR scanners with different field strengths [3]. dupatherine syndrome

MRI Image-to-Image Translation for Cross-Modality Image

NettetUsing the subsequently learned modality-invariant information as well as the modality-translated images, MouseGAN++ can segment fine brain structures with averaged dice coefficients of 90.0% (T2w) ... NettetOur results demonstrate that thetranslation performance of our method outperforms the state-of-the-art methods.Using the subsequently learned modality-invariant information as well as themodality-translated images, MouseGAN++ can segment fine brain structures withaveraged dice coefficients of 90.0% (T2w) and 87.9% (T1w), respectively,achieving … NettetOur results demonstrate that MouseGAN++, as a simultaneous image synthesis and segmentation method, can be used to fuse cross-modality information in an unpaired … crypt greatsword ds2