Publications of Wen Wei

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

1. Sébastien Frey, Federica Facente, Wen Wei, Ezem Sura Ekmekci, Eric Séjor, Patrick Baqué, Matthieu Durand, Hervé Delingette, Francois Bremond, Pierre Berthet-Rayne, and Nicholas Ayache. Optimizing Intraoperative AI: Evaluation of YOLOv8 for Real-Time Recognition of Robotic and Laparoscopic Instruments. Journal of Robotic Surgery, 19(131), March 2025. Keyword(s): Computer-Assisted Surgery, YoloV8, Robotic surgery, Instrument segmentation, Surgical instrument detection, Computer vision. [bibtex-entry]



2. 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): Multiple Sclerosis, Deep Learning, Demyelination and Remyelination, Multisequence MRI, PET Imaging, Attention Mechanism, Conditional GANs. [bibtex-entry]



3. 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): Multiple Sclerosis, Adversarial Training, PET Imaging, Multimodal MRI. [bibtex-entry]



4. 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): Deep Learning, Multiple Sclerosis, 3D Fully Convolutional Networks, FLAIR Synthesis, MR Images. [bibtex-entry]

1. Federica Facente, Benjamin Billot, Vivek Gopalakrishnan, Manasi Kattel, Wen Wei, Polina Golland, Hervé Delingette, Nicholas Ayache, and Pierre Berthet-Rayne. Multi-stage CNN for fast registration of 3D preoperative CTs to 2D intraoperative X-rays. In MICCAI 2025 - COLlaborative Intelligence and Autonomy in Image-guided Surgery (COLAS), Daejon, South Korea, September 2025. Keyword(s): Multi-stage CNN, Pose estimation. [bibtex-entry]



2. 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]



3. 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]

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