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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.

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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
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SymBA: Diffeomorphic Registration Based on Gradient Orientation Alignment and Boundary Proximity of Sparsely Selected Voxels
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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
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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
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