معرفی
Daniel García Lorenzo is a Research Fellow at the McConnell Brain Imaging Centre (BIC) within the Montreal Neurological Institute, McGill University, working under Dr. D. Louis Collins in the Image Processing Lab. His research develops automatic MRI-based pipelines for Multiple Sclerosis (MS) analysis with focus on atrophy quantification.
His academic background includes:
- Ph.D. in robust MS lesion segmentation, Université de Rennes I (INRIA, Rennes), 2010
- M.Sc. in image processing & AI, Telecom-Bretagne (Brest, France)
- M.Eng. in telecommunications, Universidad de Valladolid (Spain)
His research centers on computational neuroimaging for MS, developing segmentation algorithms that integrate expectation maximization, mean shift, and graph cuts to handle multi-sequence MRI data. He investigates workflow dependencies in lesion segmentation and longitudinal atrophy analysis to predict disease progression.
Publications from 2008-2010 reveal consistent focus on MS neuroimaging, with methodological innovations in adaptive fusion, workflow optimization, and bias correction. His work bridges computer vision (Markov models, pixon representation) and clinical neurology, extending to Parkinson's disease through SPECT/PET analysis of deep brain stimulation.
Daniel contributes to the Image Processing Lab's open-source ecosystem, with segmentation algorithms available for online use through the BIC platform.
