Louis Collins - BIC profile Revision

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Dr. Louis Collins uses computerized image processing techniques such as non-linear image registration and model-based segmentation to automatically identify structures within the human brain. These techniques are applied to a large data base of magnetic resonance (MR) data from normal subjects to quantify anatomical variability. In image-guided neurosurgery (IGNS), these techniques provide the surgeon with computerized tools to asist in interpreting anatomical, functional and vascular image date, permitting the effective planning and execution of minimally invasive neurosurgical procedures. Automated atlasing is essential in IGNS for thalamotomy and pallidotomy in the treatment of Parkinson’s disease, or temporal-lobe depth electrode implantation in the diagnosis of epilepsy, since tissue targets in these procedures cannot be viewed directly on MR. Computerized atlasing minimizes trauma to the patient and allows resection of the smallest amount of brain tissue necessary for effective therapeutic treatment.

Selected Publications:

  • Akbar, N., Till, C., Sled, J. G., Binns, M. A., Doesburg, S. M., Aubert-Broche, B., . . . Banwell, B. (2016). Altered resting-state functional connectivity in cognitively preserved pediatric-onset MS patients and relationship to structural damage and cognitive performance. Multiple Sclerosis (Houndmills, Basingstoke, England), 22(6), 792-800. 10.1177/1352458515602336

  • Albaugh, M. D., Ducharme, S., Collins, D. L., Botteron, K. N., Althoff, R. R., Evans, A. C., . . . Brain Development Cooperative Group. (2013). Evidence for a cerebral cortical thickness network anti-correlated with amygdalar volume in healthy youths: Implications for the neural substrates of emotion regulation. Neuroimage, 71, 42-49. 10.1016/j.neuroimage.2012.12.071

  • Albaugh, M. D., Nguyen, T. V., Ducharme, S., Collins, D. L., Botteron, K. N., D’Alberto, N., . . . Brain Development Cooperative Group. (2017). Age-related volumetric change of limbic structures and subclinical anxious/depressed symptomatology in typically developing children and adolescents. Biological Psychology, 124, 133-140. S0301-0511(17)30029-7

  • Ameis, S. H., Ducharme, S., Albaugh, M. D., Hudziak, J. J., Botteron, K. N., Lepage, C., . . . Karama, S. (2014). Cortical thickness, cortico-amygdalar networks, and externalizing behaviors in healthy children. Biological Psychiatry, 75(1), 65-72. 10.1016/j.biopsych.2013.06.008

  • Aubert-Broche, B., Fonov, V., Ghassemi, R., Narayanan, S., Arnold, D. L., Banwell, B., . . . Collins, D. L. (2011). Regional brain atrophy in children with multiple sclerosis. Neuroimage, 58(2), 409-415. 10.1016/j.neuroimage.2011.03.025

  • Aubert-Broche, B., Fonov, V., Narayanan, S., Arnold, D. L., Araujo, D., Fetco, D., . . . Canadian Pediatric Demyelinating Disease Network. (2014). Onset of multiple sclerosis before adulthood leads to failure of age-expected brain growth. Neurology, 83(23), 2140-2146. 10.1212/WNL.0000000000001045

  • Aubert-Broche, B., Fonov, V. S., Garcia-Lorenzo, D., Mouiha, A., Guizard, N., Coupe, P., . . . Collins, D. L. (2013). A new method for structural volume analysis of longitudinal brain MRI data and its application in studying the growth trajectories of anatomical brain structures in childhood. Neuroimage, 82, 393-402. 10.1016/j.neuroimage.2013.05.065

  • Aubert-Broche, B., Grova, C., Pike, G. B., & Collins, D. L. (2009). Clustering of atlas-defined cortical regions based on relaxation times and proton density. Neuroimage, 47(2), 523-532. 10.1016/j.neuroimage.2009.04.079

  • Aubert-Broche, B., Weier, K., Longoni, G., Fonov, V. S., Bar-Or, A., Marrie, R. A., . . . Canadian Pediatric Demyelinating Disease Network. (2017). Monophasic demyelination reduces brain growth in children. Neurology, 88(18), 1744-1750. 10.1212/WNL.0000000000003884

  • Belleville, S., Fouquet, C., Duchesne, S., Collins, D. L., & Hudon, C. (2014). Detecting early preclinical alzheimer’s disease via cognition, neuropsychiatry, and neuroimaging: Qualitative review and recommendations for testing. Journal of Alzheimer’s Disease : JAD, 42 Suppl 4, S375-82. 10.3233/JAD-141470

  • Beriault, S., Sadikot, A. F., Alsubaie, F., Drouin, S., Collins, D. L., & Pike, G. B. (2014). Neuronavigation using susceptibility-weighted venography: Application to deep brain stimulation and comparison with gadolinium contrast. Journal of Neurosurgery, 121(1), 131-141. 10.3171/2014.3.JNS131860

  • Beriault, S., Subaie, F. A., Collins, D. L., Sadikot, A. F., & Pike, G. B. (2012). A multi-modal approach to computer-assisted deep brain stimulation trajectory planning. International Journal of Computer Assisted Radiology and Surgery, 7(5), 687-704. 10.1007/s11548-012-0768-4

  • Beriault, S., Xiao, Y., Bailey, L., Collins, D. L., Sadikot, A. F., & Pike, G. B. (2012). Towards computer-assisted deep brain stimulation targeting with multiple active contacts. Medical Image Computing and Computer-Assisted Intervention : MICCAI …International Conference on Medical Image Computing and Computer-Assisted Intervention, 15(Pt 1), 487-494.

  • Beriault, S., Xiao, Y., Collins, D. L., & Pike, G. B. (2015). Automatic SWI venography segmentation using conditional random fields. IEEE Transactions on Medical Imaging, 34(12), 2478-2491. 10.1109/TMI.2015.2442236

  • Boccardi, M., Bocchetta, M., Morency, F. C., Collins, D. L., Nishikawa, M., Ganzola, R., . . . EADC-ADNI Working Group on The Harmonized Protocol for Manual Hippocampal Segmentation and for the Alzheimer’s Disease Neuroimaging Initiative. (2015). Training labels for hippocampal segmentation based on the EADC-ADNI harmonized hippocampal protocol. Alzheimer’s & Dementia : The Journal of the Alzheimer’s Association, 11(2), 175-183. 10.1016/j.jalz.2014.12.002

  • Bosco, P., Redolfi, A., Bocchetta, M., Ferrari, C., Mega, A., Galluzzi, S., . . . Frisoni, G. B. (2017). The impact of automated hippocampal volumetry on diagnostic confidence in patients with suspected alzheimer’s disease: A european alzheimer’s disease consortium study. Alzheimer’s & Dementia : The Journal of the Alzheimer’s Association, 13(9), 1013-1023. S1552-5260(17)30045-6

  • Boucetta, S., Salimi, A., Dadar, M., Jones, B. E., Collins, D. L., & Dang-Vu, T. T. (2016). Structural brain alterations associated with rapid eye movement sleep behavior disorder in parkinson’s disease. Scientific Reports, 6, 26782. 10.1038/srep26782

  • Brain Development Cooperative Group. (2012). Total and regional brain volumes in a population-based normative sample from 4 to 18 years: The NIH MRI study of normal brain development. Cerebral Cortex (New York, N.Y.: 1991), 22(1), 1-12. 10.1093/cercor/bhr018

  • Brans, R. G., Kahn, R. S., Schnack, H. G., van Baal, G. C., Posthuma, D., van Haren, N. E., . . . Hulshoff Pol, H. E. (2010). Brain plasticity and intellectual ability are influenced by shared genes. The Journal of Neuroscience : The Official Journal of the Society for Neuroscience, 30(16), 5519-5524. 10.1523/JNEUROSCI.5841-09.2010

  • Caramanos, Z., Fonov, V. S., Francis, S. J., Narayanan, S., Pike, G. B., Collins, D. L., & Arnold, D. L. (2010). Gradient distortions in MRI: Characterizing and correcting for their effects on SIENA-generated measures of brain volume change. Neuroimage, 49(2), 1601-1611. 10.1016/j.neuroimage.2009.08.008

  • Cash, D. M., Frost, C., Iheme, L. O., Unay, D., Kandemir, M., Fripp, J., . . . Ourselin, S. (2015). Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. Neuroimage, 123, 149-164. 10.1016/j.neuroimage.2015.07.087

  • Chakravarty, M. M., Broadbent, S., Rosa-Neto, P., Lambert, C. M., & Collins, D. L. (2009). Design, construction, and validation of an MRI-compatible vibrotactile stimulator intended for clinical use. Journal of Neuroscience Methods, 184(1), 129-135. 10.1016/j.jneumeth.2009.07.018

  • Chakravarty, M. M., Rapoport, J. L., Giedd, J. N., Raznahan, A., Shaw, P., Collins, D. L., . . . Gogtay, N. (2015). Striatal shape abnormalities as novel neurodevelopmental endophenotypes in schizophrenia: A longitudinal study. Human Brain Mapping, 36(4), 1458-1469. 10.1002/hbm.22715

  • Chakravarty, M. M., Sadikot, A. F., Germann, J., Bertrand, G., & Collins, D. L. (2008). Towards a validation of atlas warping techniques. Medical Image Analysis, 12(6), 713-726. 10.1016/j.media.2008.04.003

  • Chakravarty, M. M., Sadikot, A. F., Germann, J., Hellier, P., Bertrand, G., & Collins, D. L. (2009). Comparison of piece-wise linear, linear, and nonlinear atlas-to-patient warping techniques: Analysis of the labeling of subcortical nuclei for functional neurosurgical applications. Human Brain Mapping, 30(11), 3574-3595. 10.1002/hbm.20780

  • Chakravarty, M. M., Steadman, P., van Eede, M. C., Calcott, R. D., Gu, V., Shaw, P., . . . Lerch, J. P. (2013). Performing label-fusion-based segmentation using multiple automatically generated templates. Human Brain Mapping, 34(10), 2635-2654. 10.1002/hbm.22092

  • Chen, S. J., Hellier, P., Gauvrit, J. Y., Marchal, M., Morandi, X., & Collins, D. L. (2010). An anthropomorphic polyvinyl alcohol triple-modality brain phantom based on Colin27. Medical Image Computing and Computer-Assisted Intervention : MICCAI …International Conference on Medical Image Computing and Computer-Assisted Intervention, 13(Pt 2), 92-100.

  • Chen, S. J., Hellier, P., Marchal, M., Gauvrit, J. Y., Carpentier, R., Morandi, X., & Collins, D. L. (2012). An anthropomorphic polyvinyl alcohol brain phantom based on Colin27 for use in multimodal imaging. Medical Physics, 39(1), 554-561. 10.1118/1.3673069

  • Chen, S. J., Reinertsen, I., Coupe, P., Yan, C. X., Mercier, L., Del Maestro, D. R., & Collins, D. L. (2012). Validation of a hybrid doppler ultrasound vessel-based registration algorithm for neurosurgery. International Journal of Computer Assisted Radiology and Surgery, 7(5), 667-685. 10.1007/s11548-012-0680-y

  • Collins, D. L., & Pruessner, J. C. (2009). Towards accurate, automatic segmentation of the hippocampus and amygdala from MRI. Medical Image Computing and Computer-Assisted Intervention : MICCAI …International Conference on Medical Image Computing and Computer-Assisted Intervention, 12(Pt 2), 592-600.

  • Collins, D. L., & Pruessner, J. C. (2010). Towards accurate, automatic segmentation of the hippocampus and amygdala from MRI by augmenting ANIMAL with a template library and label fusion. Neuroimage, 52(4), 1355-1366. 10.1016/j.neuroimage.2010.04.193

  • Collins, D. L., & Schimke, R. N. (2011). Regarding cancer predisposition detected by CHG arrays. Genetics in Medicine : Official Journal of the American College of Medical Genetics, 13(11), 982; author reply 982-3. 10.1097/GIM.0b013e31823552be

  • Collins, D. L., & Street, R. L.,Jr. (2009). A dialogic model of conversations about risk: Coordinating perceptions and achieving quality decisions in cancer care. Social Science & Medicine (1982), 68(8), 1506-1512. 10.1016/j.socscimed.2009.01.016

  • Concha, L., Beaulieu, C., Collins, D. L., & Gross, D. W. (2009). White-matter diffusion abnormalities in temporal-lobe epilepsy with and without mesial temporal sclerosis. Journal of Neurology, Neurosurgery, and Psychiatry, 80(3), 312-319. 10.1136/jnnp.2007.139287

  • Costes, N., Dagher, A., Larcher, K., Evans, A. C., Collins, D. L., & Reilhac, A. (2009). Motion correction of multi-frame PET data in neuroreceptor mapping: Simulation based validation. Neuroimage, 47(4), 1496-1505. 10.1016/j.neuroimage.2009.05.052

  • Coupe, P., Eskildsen, S. F., Manjon, J. V., Fonov, V., Collins, D. L., & Alzheimer’s Disease Neuroimaging Initiative. (2011). Simultaneous segmentation and grading of hippocampus for patient classification with alzheimer’s disease. Medical Image Computing and Computer-Assisted Intervention : MICCAI …International Conference on Medical Image Computing and Computer-Assisted Intervention, 14(Pt 3), 149-157.

  • Coupe, P., Eskildsen, S. F., Manjon, J. V., Fonov, V. S., Collins, D. L., & Alzheimer’s disease Neuroimaging Initiative. (2012). Simultaneous segmentation and grading of anatomical structures for patient’s classification: Application to alzheimer’s disease. Neuroimage, 59(4), 3736-3747. 10.1016/j.neuroimage.2011.10.080

  • Coupe, P., Eskildsen, S. F., Manjon, J. V., Fonov, V. S., Pruessner, J. C., Allard, M., . . . Alzheimer’s Disease Neuroimaging Initiative. (2012). Scoring by nonlocal image patch estimator for early detection of alzheimer’s disease. NeuroImage.Clinical, 1(1), 141-152. 10.1016/j.nicl.2012.10.002

  • Coupe, P., Fonov, V. S., Bernard, C., Zandifar, A., Eskildsen, S. F., Helmer, C., . . . Alzheimer’s Disease Neuroimaging Initiative. (2015). Detection of alzheimer’s disease signature in MR images seven years before conversion to dementia: Toward an early individual prognosis. Human Brain Mapping, 36(12), 4758-4770. 10.1002/hbm.22926

  • Coupe, P., Manjon, J. V., Fonov, V., Pruessner, J., Robles, M., & Collins, D. L. (2010). Nonlocal patch-based label fusion for hippocampus segmentation. Medical Image Computing and Computer-Assisted Intervention : MICCAI …International Conference on Medical Image Computing and Computer-Assisted Intervention, 13(Pt 3), 129-136.

  • Coupe, P., Manjon, J. V., Fonov, V., Pruessner, J., Robles, M., & Collins, D. L. (2011). Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation. Neuroimage, 54(2), 940-954. 10.1016/j.neuroimage.2010.09.018

  • Coupe, P., Manjon, J. V., Gedamu, E., Arnold, D., Robles, M., & Collins, D. L. (2009). An object-based method for rician noise estimation in MR images. Medical Image Computing and Computer-Assisted Intervention : MICCAI …International Conference on Medical Image Computing and Computer-Assisted Intervention, 12(Pt 2), 601-608.

  • Coupe, P., Manjon, J. V., Gedamu, E., Arnold, D., Robles, M., & Collins, D. L. (2010). Robust rician noise estimation for MR images. Medical Image Analysis, 14(4), 483-493. 10.1016/j.media.2010.03.001

  • Coupe, P., Munz, M., Manjon, J. V., Ruthazer, E. S., & Collins, D. L. (2012). A CANDLE for a deeper in vivo insight. Medical Image Analysis, 16(4), 849-864. 10.1016/j.media.2012.01.002

  • Dadar, M., Maranzano, J., Ducharme, S., Carmichael, O. T., Decarli, C., Collins, D. L., & Alzheimer’s Disease Neuroimaging Initiative. (2018). Validation of T1w-based segmentations of white matter hyperintensity volumes in large-scale datasets of aging. Human Brain Mapping, 39(3), 1093-1107. 10.1002/hbm.23894

  • Dadar, M., Maranzano, J., Misquitta, K., Anor, C. J., Fonov, V. S., Tartaglia, M. C., . . . Alzheimer’s Disease Neuroimaging Initiative. (2017). Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging. Neuroimage, 157, 233-249. S1053-8119(17)30478-0

  • Dadar, M., Pascoal, T. A., Manitsirikul, S., Misquitta, K., Fonov, V. S., Tartaglia, M. C., . . . Collins, D. L. (2017). Validation of a regression technique for segmentation of white matter hyperintensities in alzheimer’s disease. IEEE Transactions on Medical Imaging, 36(8), 1758-1768. 10.1109/TMI.2017.2693978

  • Das, S., Glatard, T., Rogers, C., Saigle, J., Paiva, S., MacIntyre, L., . . . Evans, A. C. (2017). Cyberinfrastructure for open science at the montreal neurological institute. Frontiers in Neuroinformatics, 10, 53. 10.3389/fninf.2016.00053

  • De Leener, B., Fonov, V. S., Collins, D. L., Callot, V., Stikov, N., & Cohen-Adad, J. (2018). PAM50: Unbiased multimodal template of the brainstem and spinal cord aligned with the ICBM152 space. Neuroimage, 165, 170-179. S1053-8119(17)30868-6

  • De Nigris, D., Collins, D. L., & Arbel, T. (2012). Multi-modal image registration based on gradient orientations of minimal uncertainty. IEEE Transactions on Medical Imaging, 31(12), 2343-2354. 10.1109/TMI.2012.2218116

  • De Nigris, D., Collins, D. L., & Arbel, T. (2013). Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations. International Journal of Computer Assisted Radiology and Surgery, 8(4), 649-661. 10.1007/s11548-013-0826-6

  • De Nigris, D., Mercier, L., Del Maestro, R., Collins, D. L., & Arbel, T. (2010). Hierarchical multimodal image registration based on adaptive local mutual information. Medical Image Computing and Computer-Assisted Intervention : MICCAI …International Conference on Medical Image Computing and Computer-Assisted Intervention, 13(Pt 2), 643-651.

  • Derakhshan, M., Caramanos, Z., Giacomini, P. S., Narayanan, S., Maranzano, J., Francis, S. J., . . . Collins, D. L. (2010). Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis. Neuroimage, 52(4), 1261-1267. 10.1016/j.neuroimage.2010.05.029

  • Drouin, S., Kochanowska, A., Kersten-Oertel, M., Gerard, I. J., Zelmann, R., De Nigris, D., . . . Collins, D. L. (2017). IBIS: An OR ready open-source platform for image-guided neurosurgery. International Journal of Computer Assisted Radiology and Surgery, 12(3), 363-378. 10.1007/s11548-016-1478-0

  • Ducharme, S., Hudziak, J. J., Botteron, K. N., Albaugh, M. D., Nguyen, T. V., Karama, S., . . . Brain Development Cooperative Group. (2012). Decreased regional cortical thickness and thinning rate are associated with inattention symptoms in healthy children. Journal of the American Academy of Child and Adolescent Psychiatry, 51(1), 18-27.e2. 10.1016/j.jaac.2011.09.022

  • Ducharme, S., Hudziak, J. J., Botteron, K. N., Ganjavi, H., Lepage, C., Collins, D. L., . . . Brain Development Cooperative Group. (2011). Right anterior cingulate cortical thickness and bilateral striatal volume correlate with child behavior checklist aggressive behavior scores in healthy children. Biological Psychiatry, 70(3), 283-290. 10.1016/j.biopsych.2011.03.015

  • Duchesne, S., Bocti, C., De Sousa, K., Frisoni, G. B., Chertkow, H., & Collins, D. L. (2010). Amnestic MCI future clinical status prediction using baseline MRI features. Neurobiology of Aging, 31(9), 1606-1617. 10.1016/j.neurobiolaging.2008.09.003

  • Duchesne, S., Caroli, A., Geroldi, C., Collins, D. L., & Frisoni, G. B. (2009). Relating one-year cognitive change in mild cognitive impairment to baseline MRI features. Neuroimage, 47(4), 1363-1370. 10.1016/j.neuroimage.2009.04.023

  • Elliott, C., Arnold, D. L., Collins, D. L., & Arbel, T. (2013). Temporally consistent probabilistic detection of new multiple sclerosis lesions in brain MRI. IEEE Transactions on Medical Imaging, 32(8), 1490-1503. 10.1109/TMI.2013.2258403

  • Elliott, C., Francis, S. J., Arnold, D. L., Collins, D. L., & Arbel, T. (2010). Bayesian classification of multiple sclerosis lesions in longitudinal MRI using subtraction images. Medical Image Computing and Computer-Assisted Intervention : MICCAI …International Conference on Medical Image Computing and Computer-Assisted Intervention, 13(Pt 2), 290-297.

  • Eskildsen, S. F., Coupe, P., Fonov, V., Manjon, J. V., Leung, K. K., Guizard, N., . . . Alzheimer’s Disease Neuroimaging Initiative. (2012). BEaST: Brain extraction based on nonlocal segmentation technique. Neuroimage, 59(3), 2362-2373. 10.1016/j.neuroimage.2011.09.012

  • Eskildsen, S. F., Coupe, P., Fonov, V. S., Pruessner, J. C., Collins, D. L., & Alzheimer’s Disease Neuroimaging Initiative. (2015). Structural imaging biomarkers of alzheimer’s disease: Predicting disease progression. Neurobiology of Aging, 36 Suppl 1, S23-31. 10.1016/j.neurobiolaging.2014.04.034

  • Eskildsen, S. F., Coupe, P., Garcia-Lorenzo, D., Fonov, V., Pruessner, J. C., Collins, D. L., & Alzheimer’s Disease Neuroimaging Initiative. (2013). Prediction of alzheimer’s disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning. Neuroimage, 65, 511-521. 10.1016/j.neuroimage.2012.09.058

  • Estes, A., Munson, J., John, T. S., Dager, S. R., Rodda, A., Botteron, K., . . . IBIS network. (2017). Parent support of preschool peer relationships in younger siblings of children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 10.1007/s10803-017-3202-5

  • Evans, A. C., Janke, A. L., Collins, D. L., & Baillet, S. (2012). Brain templates and atlases. Neuroimage, 62(2), 911-922. 10.1016/j.neuroimage.2012.01.024

  • Ewert, S., Plettig, P., Li, N., Chakravarty, M. M., Collins, D. L., Herrington, T. M., . . . Horn, A. (2017). Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity. Neuroimage, S1053-8119(17)30407-X

  • Faridi, N., Karama, S., Burgaleta, M., White, M. T., Evans, A. C., Fonov, V., . . . Waber, D. P. (2015). Neuroanatomical correlates of behavioral rating versus performance measures of working memory in typically developing children and adolescents. Neuropsychology, 29(1), 82-91. 10.1037/neu0000079

  • Fonov, V., Evans, A. C., Botteron, K., Almli, C. R., McKinstry, R. C., Collins, D. L., & Brain Development Cooperative Group. (2011). Unbiased average age-appropriate atlases for pediatric studies. Neuroimage, 54(1), 313-327. 10.1016/j.neuroimage.2010.07.033

  • Fonov, V. S., Le Troter, A., Taso, M., De Leener, B., Leveque, G., Benhamou, M., . . . Cohen-Adad, J. (2014). Framework for integrated MRI average of the spinal cord white and gray matter: The MNI-poly-AMU template. Neuroimage, 102 Pt 2, 817-827. 10.1016/j.neuroimage.2014.08.057

  • Frey, S., Pandya, D. N., Chakravarty, M. M., Bailey, L., Petrides, M., & Collins, D. L. (2011). An MRI based average macaque monkey stereotaxic atlas and space (MNI monkey space). Neuroimage, 55(4), 1435-1442. 10.1016/j.neuroimage.2011.01.040

  • Frisoni, G. B., Jack, C. R.,Jr, Bocchetta, M., Bauer, C., Frederiksen, K. S., Liu, Y., . . . EADC-ADNI Working Group on The Harmonized Protocol for Manual Hippocampal Volumetry and for the Alzheimer’s Disease Neuroimaging Initiative. (2015). The EADC-ADNI harmonized protocol for manual hippocampal segmentation on magnetic resonance: Evidence of validity. Alzheimer’s & Dementia : The Journal of the Alzheimer’s Association, 11(2), 111-125. 10.1016/j.jalz.2014.05.1756

  • Fuentes, A., Collins, D. L., Garcia-Lorenzo, D., Sled, J. G., Narayanan, S., Arnold, D. L., . . . Till, C. (2012). Memory performance and normalized regional brain volumes in patients with pediatric-onset multiple sclerosis. Journal of the International Neuropsychological Society : JINS, 18(3), 471-480. 10.1017/S1355617711001913

  • Ganjavi, H., Lewis, J. D., Bellec, P., MacDonald, P. A., Waber, D. P., Evans, A. C., . . . Brain Development Cooperative Group. (2011). Negative associations between corpus callosum midsagittal area and IQ in a representative sample of healthy children and adolescents. PloS One, 6(5), e19698. 10.1371/journal.pone.0019698

  • Garcia-Lorenzo, D., Francis, S., Narayanan, S., Arnold, D. L., & Collins, D. L. (2013). Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging. Medical Image Analysis, 17(1), 1-18. 10.1016/j.media.2012.09.004

  • Garcia-Lorenzo, D., Lecoeur, J., Arnold, D. L., Collins, D. L., & Barillot, C. (2009). Multiple sclerosis lesion segmentation using an automatic multimodal graph cuts. Medical Image Computing and Computer-Assisted Intervention : MICCAI …International Conference on Medical Image Computing and Computer-Assisted Intervention, 12(Pt 2), 584-591.

  • Garcia-Lorenzo, D., Prima, S., Arnold, D. L., Collins, D. L., & Barillot, C. (2011). Trimmed-likelihood estimation for focal lesions and tissue segmentation in multisequence MRI for multiple sclerosis. IEEE Transactions on Medical Imaging, 30(8), 1455-1467. 10.1109/TMI.2011.2114671

  • Gedamu, E. L., Collins, D. L., & Arnold, D. L. (2008). Automated quality control of brain MR images. Journal of Magnetic Resonance Imaging : JMRI, 28(2), 308-319. 10.1002/jmri.21434

  • Gerard, I. J., & Collins, D. L. (2015). An analysis of tracking error in image-guided neurosurgery. International Journal of Computer Assisted Radiology and Surgery, 10(10), 1579-1588. 10.1007/s11548-014-1145-2

  • Gerard, I. J., Hall, J. A., Mok, K., & Collins, D. L. (2015). New protocol for skin landmark registration in image-guided neurosurgery: Technical note. Neurosurgery, 11 Suppl 3, 376-80; discussion 380-1. 10.1227/NEU.0000000000000868

  • Gerard, I. J., Kersten-Oertel, M., Drouin, S., Hall, J. A., Petrecca, K., De Nigris, D., . . . Collins, D. L. (2018). Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: A pilot study of eight cases. Journal of Medical Imaging (Bellingham, Wash.), 5(2), 021210. 10.1117/1.JMI.5.2.021210

  • Gerard, I. J., Kersten-Oertel, M., Petrecca, K., Sirhan, D., Hall, J. A., & Collins, D. L. (2017). Brain shift in neuronavigation of brain tumors: A review. Medical Image Analysis, 35, 403-420. S1361-8415(16)30156-6

  • Giraud, R., Ta, V. T., Papadakis, N., Manjon, J. V., Collins, D. L., Coupe, P., & Alzheimer’s Disease Neuroimaging Initiative. (2016). An optimized PatchMatch for multi-scale and multi-feature label fusion. Neuroimage, 124(Pt A), 770-782. S1053-8119(15)00696-5

  • Grover, S. A., Aubert-Broche, B., Fetco, D., Collins, D. L., Arnold, D. L., Finlayson, M., . . . Yeh, E. A. (2015). Lower physical activity is associated with higher disease burden in pediatric multiple sclerosis. Neurology, 85(19), 1663-1669. 10.1212/WNL.0000000000001939

  • Guizard, N., Coupe, P., Fonov, V. S., Manjon, J. V., Arnold, D. L., & Collins, D. L. (2015). Rotation-invariant multi-contrast non-local means for MS lesion segmentation. NeuroImage.Clinical, 8, 376-389. 10.1016/j.nicl.2015.05.001

  • Guizard, N., Fonov, V. S., Garcia-Lorenzo, D., Nakamura, K., Aubert-Broche, B., & Collins, D. L. (2015). Spatio-temporal regularization for longitudinal registration to subject-specific 3d template. PloS One, 10(8), e0133352. 10.1371/journal.pone.0133352

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