D
D. L. Collins
Researcher at McGill University
Publications - 7
Citations - 2526
D. L. Collins is an academic researcher from McGill University. The author has contributed to research in topics: Image processing & Fluid-attenuated inversion recovery. The author has an hindex of 5, co-authored 7 publications receiving 2362 citations. Previous affiliations of D. L. Collins include Montreal Neurological Institute and Hospital.
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Journal ArticleDOI
Design and construction of a realistic digital brain phantom
D. L. Collins,Alex P. Zijdenbos,V. Kollokian,John G. Sled,Noor Jehan Kabani,Colin J. Holmes,Alan C. Evans +6 more
TL;DR: The authors present a realistic, high-resolution, digital, volumetric phantom of the human brain, which can be used to simulate tomographic images of the head and is the ideal tool to test intermodality registration algorithms.
Journal ArticleDOI
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
Keelin Murphy,B. van Ginneken,Joseph M. Reinhardt,Sven Kabus,Kai Ding,Xiang Deng,Kunlin Cao,Kaifang Du,Gary E. Christensen,V. Garcia,Tom Vercauteren,Nicholas Ayache,Olivier Commowick,Grégoire Malandain,Ben Glocker,Nikos Paragios,Nassir Navab,Vladlena Gorbunova,Jon Sporring,M. de Bruijne,Xiao Han,Mattias P. Heinrich,Julia A. Schnabel,Mark Jenkinson,Cristian Lorenz,Marc Modat,Jamie R. McClelland,Sebastien Ourselin,Sascha E. A. Muenzing,Max A. Viergever,Dante De Nigris,D. L. Collins,Tal Arbel,M. Peroni,Rui Li,Gregory C. Sharp,Alexander Schmidt-Richberg,Jan Ehrhardt,René Werner,Dirk Smeets,Dirk Loeckx,Gang Song,Nicholas J. Tustison,Brian B. Avants,James C. Gee,Marius Staring,Stefan Klein,Berend C. Stoel,Martin Urschler,Manuel Werlberger,Jef Vandemeulebroucke,Simon Rit,David Sarrut,Josien P. W. Pluim +53 more
TL;DR: The organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups are detailed.
Journal ArticleDOI
MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls
Simon Duchesne,Anna Caroli,Cristina Geroldi,Christian Barillot,Giovanni B. Frisoni,D. L. Collins +5 more
TL;DR: It is shown in the Appendix that determinants and scaled grey-level intensity are appreciably more robust to varying parameters in validation studies using simulated data, when compared to raw intensities or grey/white matter volumes.
Journal ArticleDOI
Trimmed-Likelihood Estimation for Focal Lesions and Tissue Segmentation in Multisequence MRI for Multiple Sclerosis
TL;DR: A new automatic method for segmentation of multiple sclerosis (MS) lesions in magnetic resonance images using a model of intensities of the normal appearing brain tissues using a trimmed likelihood estimator initialized with a hierarchical random approach is presented.
Journal ArticleDOI
Comparison of Multiple Sclerosis Cortical Lesion Types Detected by Multicontrast 3T and 7T MRI.
Josefina Maranzano,Josefina Maranzano,Mahsa Dadar,Mahsa Dadar,David A. Rudko,David A. Rudko,Dante De Nigris,Colm Elliott,Joseph S. Gati,S.A. Morrow,Ravi S. Menon,D. L. Collins,D. L. Collins,Douglas L. Arnold,Sridar Narayanan +14 more
TL;DR: It is concluded that detection of leukocortical lesions at 3T is comparable with that at 7T MR imaging, and imaging at3T is less sensitive to intracortical and subpial lesions.