Quantitative Comparison of Reconstruction Methods for Intra-Voxel Fiber Recovery From Diffusion MRI. - Alessandro Daducci; Erick Jorge Canales-Rodríguez; Maxime Descoteaux; Eleftherios Garyfallidis; Yaniv Gur; Ying-Chia Lin; Merry Mani; Sylvain Merlet; Michael Paquette; Alonso Ramirez-Manzanares; Marco Reisert; Paulo Reis Rodrigues; et al. (IEEE Trans. Medical Imaging, 2014)

Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? - Lipeng Ning; Frederik B. Laun; Yaniv Gur; Edward V. R. DiBella; Samuel Deslauriers-Gauthier; Thinhinane Megherbi; Aurobrata Ghosh; Mauro Zucchelli; Gloria Menegaz; Rutger Fick; Samuel St-Jean; Michael Paquette; et al. (Medical Image Anal., 2015)

The application of a new sampling theorem for non-bandlimited signals on the sphere: Improving the recovery of crossing fibers for low b-value acquisitions. - Samuel Deslauriers-Gauthier; Pina Marziliano; Michael Paquette; Maxime Descoteaux (Medical Image Anal., 2016)

Optimal DSI reconstruction parameter recommendations: Better ODFs and better connectivity. - Michael Paquette; Guillaume Gilbert; Maxime Descoteaux (NeuroImage, 2016)

Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitions. - Cornelius Eichner; Michael Paquette; Toralf Mildner; Torsten Schlumm; Kamilla Pléh; Liran Samuni; Catherine Crockford; Roman M. Wittig; Carsten Jäger; Harald E. Möller; Angela D. Friederici; Alfred Anwander (NeuroImage, 2020)