Professor Louis Collins

Biomedical Engineering, Faculty of Medicine, McGill University

Research interests: Computerized image processing techniques (e.g. non-linear image registration, model-based segmentation) for identifying structures within the human brain and for quantifying anatomical variability - [website]

Dr. Collins is a Full Professor of Biomedical Engineering at McGill University. As head of the Image Processing Laboratory (IPL) at the BIC, he presently supervises a laboratory of 20 people (10 graduate students, 3 pdfs, 2 research associates, 2 engineers, 2 visiting scholars and 1 staff member) that investigate neuroscientific applications of three dimensional (3D) digital image processing methods such as registration, segmentation and tissue classification with applications in disease diagnosis, prognosis and for 3D modeling in image guided surgery. Since joining McGill as a faculty member 12 years ago, Dr. Collins has co-authored over 100 peer-reviewed journal papers and has supervised over 60 graduate and undergraduate students, PDFs, and research staff.

Related content: François Rheault; Azar Zandifar; Mahsa Dadar; Alexa Pichette Binette; Accurate automatic segmentation of white matter hyperintensities using a linear regression classifier; Network structure of brain atrophy in de novo Parkinson's disease; Structural Brain Alterations Associated with Rapid Eye Movement Sleep Behavior Disorder in Parkinson's Disease; Multi-contrast unbiased non-linear brain atlas of Parkinson’s disease patients,; SymBA: Diffeomorphic Registration Based on Gradient Orientation Alignment and Boundary Proximity of Sparsely Selected Voxels; Fast Rigid Registration of Pre-Operative Magnetic Resonance Images to Intra-Operative Ultrasound for Neurosurgery based on High Confidence Gradient Orientations; Detection of Alzheimer's disease signature in MR images seven years before conversion to dementia: Toward an early individual prognosis; High CSF tau is related to reduced hippocampal volume and subjective cognitive decline in healthy elderly with amyloid pathology; Association between apolipoprotein ai levels and white matter hyperintensities depends on CSF tau levels in a high-risk cohort of aging cognitively normal persons; Image processing techniques for diagnosis and prognosis in mild cognitive impairment and Alzheimer's disease; CREATE-MIA Workshop on Writing in the Biomedical Imaging Sciences; Streamlines non-linear registration using MR-Ultrasound for intra-operative brain shift correction; Multi-Modal Image Registration Based on Gradient Orientations of Minimal Uncertainty; MRI Patch-based imaging biomarker for automatic detection of Parkinson’s disease; A unified assessment of fully automated hippocampus segmentation methods; A quantitative comparison between two manual hippocampal segmentation protocols; Spatial distribution of white matter hyperintensities in elderly individuals. Alzheimer's & Dementia; Baseline Discrepancies in MRI Patch-Based Appearance Predictive of Future Decline in Cognitively Healthy Adni Participants; CREATE-MIA Summer School 2017