Theses#
PhD Theses#
Agah Karakuzu (2022). Bringing quantitative magnetic resonance imaging under one umbrella.
Tommy Boshkovski (2021). The Myelin-Weighted Connectome: A Multiplex Approach to Characterize Brain Function and Structure.
Atef Badji (2021). Impact of arterial stiffness on brain white matter microstructure.
Gabriel Mangeat (2021). Development of in-Vivo Histology with Quantitative Magnetic Resonance Imaging to Resolve Fine Neurodegenerative Features.
Ryan Topfer (2021). Local Coils and Prospective Shimming for MRI of the Spinal Cord.
Benjamin De Leener (2017). Development of an MRI Template and Analysis Pipeline for the Spinal Cord and Application in Patients with Spinal Cord Injury.
Nibardo Lopez Rios (2017). Development of a New Multi-Channel MRI Coil Optimized for Brain Studies in Human Neonates.
Tanguy Duval (2017). Quantification de la microstructure de la moelle épinière humaine par IRM et application chez des patients avec sclérose en plaques.
MSc Theses#
Andréanne Lemay (2022). Deep Learning Approaches for Improved MRI Neuroimaging Segmentation.
Gaspard Cereza (2022). Novel techniques for RF shimming of the spinal cord at 7T.
Olivier Vincent (2021). Impact of Rater Style on Deep Learning Segmentation in Medical Imaging.
Lucas Rouhier (2020). Prognosis for Degenerative Cervical Myelopathy: A Computer Learning Approach on the AOspine Database.
Christian Samuel Perone (2019). Deep Learning Methods for MRI Spinal Cord Gray Matter Segmentation.
Harris Nami (2019). Clustering of the White Matter Tracts in the Rat Spinal Cord Based on Quantitative Histology.
Aldo Zaimi (2018). Automatic Axon and Myelin Segmentation of Microscopy Images and Morphometrics Extraction.
Charley Gros (2018). Automatic Segmentation of Intramedullary Multiple Sclerosis Lesions.
Atef Badji (2017). Impact de la rigidité vasculaire sur la microstructure de la substance blanche du cerveau.
Manh Tung Vuong (2017). Comparison of Myelin Imaging Techniques in Ex Vivo Spinal Cord.
Ariane Saliani (2017). Construction d’un atlas de la microstructure de la matière blanche de la moelle épinière chez le rat à partir d’acquisitions histologiques.
Manh Tung Vuong (2017). Comparison of Myelin Imaging Techniques in Ex Vivo Spinal Cord.
Grégoire Germain (2017). Une antenne hybride RF/shimming pour l’IRM de la moelle épinière.
Gabriel Mangeat (2016). Study of Human Cortical Microstructure Using Magnetization Transfer and T2* Mapping with Application in Multiple Sclerosis.
Simon Lévy (2016). Caractérisation de la microstructure des voies spinales humaines par IRM multiparamétrique.
Alexandru Foias (2015). Design and Construction of a Highly Sensitive Coil for MRI of the Spinal Cord.
Benjamin De Leener (2014). Segmentation automatique de la moelle épinière sur des images de résonance magnétique par propagation de modèles déformables.