Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis

Author:

Wei Wen,Poirion Emilie,Bodini Benedetta,Durrleman Stanley,Ayache Nicholas,Stankoff Bruno,Colliot Olivier

Funder

Institut National de la Santé et de la Recherche Médicale

Assistance publique-Hôpitaux de Paris

Agence Nationale de la Recherche

Association Européenne contre les Leucodystrophies

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference54 articles.

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2. Synthesis of positron emission tomography (pet) images via multi-channel generative adversarial networks (gans);Bi,2017

3. Dynamic imaging of individual remyelination profiles in multiple sclerosis;Bodini;Ann. Neurol.,2016

4. Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies;Burgos;IEEE Trans. Med. Imaging,2014

5. Multimodal mr synthesis via modality-invariant latent representation;Chartsias;IEEE Trans. Med. Imaging,2018

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