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Publications of Wen Wei

Thesis

  1. Wen Wei. Learning brain alterations in multiple sclerosis from multimodal neuroimaging data. Theses, Université Côte d'Azur, June 2020. Keyword(s): Multiple Sclerosis, PET Imaging, MR Imaging, Brain Alterations, Deep Learning, Convolutional Neural Networks (CNN), Generative Adversarial Network (GAN), Image Synthesis, Missing MRI Sequences, Missing Modalities, Sclérose en Plaques, TEP, IRM, Altérations cérébrales, Apprentissage en profondeur, Réseau de Neurones Convolutifs (CNN), Réseaux Antagonistes Génératifs (GAN), Synthèse d'images, Séquences IRM Manquantes, Modalités Manquantes. [bibtex-entry]


Articles in journal, book chapters

  1. Wen Wei, Emilie Poirion, Benedetta Bodini, Matteo Tonietto, Stanley Durrleman, Olivier Colliot, Bruno Stankoff, and Nicholas Ayache. Predicting PET-derived Myelin Content from Multisequence MRI for Individual Longitudinal Analysis in Multiple Sclerosis. NeuroImage, 223C(117308), December 2020. Keyword(s): Conditional GANs, Attention Mechanism, PET Imaging, Multisequence MRI, Demyelination and Remyelination, Deep Learning, Multiple Sclerosis. [bibtex-entry]


  2. Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, and Olivier Colliot. Predicting PET-derived Demyelination from Multimodal MRI using Sketcher-Refiner Adversarial Training for Multiple Sclerosis. Medical Image Analysis, 58(101546), December 2019. Keyword(s): Multimodal MRI, PET Imaging, Adversarial Training, Multiple Sclerosis. [bibtex-entry]


  3. Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Olivier Colliot, Bruno Stankoff, and Nicholas Ayache. Fluid-attenuated inversion recovery MRI synthesis from multisequence MRI using three-dimensional fully convolutional networks for multiple sclerosis. Journal of Medical Imaging, 6(01), February 2019. Keyword(s): MR Images, FLAIR Synthesis, 3D Fully Convolutional Networks, Multiple Sclerosis, Deep Learning. [bibtex-entry]


Conference articles

  1. Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, and Olivier Colliot. Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training. In MICCAI 2018 -- 21st International Conference On Medical Image Computing & Computer Assisted Intervention, volume 11072, Granada, Spain, September 2018. [bibtex-entry]


  2. Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Olivier Colliot, Bruno Stankoff, and Nicholas Ayache. FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple Sclerosis. In ISMRM-ESMRMB 2018 - Joint Annual Meeting, Paris, France, pages 1-6, June 2018. [bibtex-entry]


Miscellaneous

  1. Sébastien Frey, Federica Facente, Wen Wei, Ezem Sura Ekmekci, Eric Séjor, Patrick Baqué, Matthieu Durand, Hervé Delingette, François Bremond, Pierre Berthet-Rayne, and Nicholas Ayache. Optimizing Intraoperative AI: Evaluation of YOLOv8 for Real-Time Recognition of Robotic and Laparoscopic Instruments. Note: Working paper or preprint, December 2024. Keyword(s): Computer-Assisted Surgery, Computer vision, Surgical instrument detection, Instrument segmentation, Robotic surgery, YoloV8. [bibtex-entry]



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