| Image processing and analysis methods for the Adolescent Brain Cognitive Development Study DJ Hagler Jr, SN Hatton, MD Cornejo, C Makowski, DA Fair, AS Dick, ... Neuroimage 202, 116091, 2019 | 474 | 2019 |
| A Bayesian model for joint segmentation and registration KM Pohl, J Fisher, WEL Grimson, R Kikinis, WM Wells NeuroImage 31 (1), 228-239, 2006 | 342 | 2006 |
| GLISTR: glioma image segmentation and registration A Gooya, KM Pohl, M Bilello, L Cirillo, G Biros, ER Melhem, C Davatzikos IEEE transactions on medical imaging 31 (10), 1941-1954, 2012 | 259 | 2012 |
| Neocortical gray matter volume in first-episode schizophrenia and first-episode affective psychosis: a cross-sectional and longitudinal MRI study M Nakamura, DF Salisbury, Y Hirayasu, S Bouix, KM Pohl, T Yoshida, ... Biological psychiatry 62 (7), 773-783, 2007 | 193 | 2007 |
| The National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA): a multisite study of adolescent development and substance use SA Brown, TY Brumback, K Tomlinson, K Cummins, WK Thompson, ... Journal of studies on alcohol and drugs 76 (6), 895-908, 2015 | 188 | 2015 |
| Altered brain developmental trajectories in adolescents after initiating drinking A Pfefferbaum, D Kwon, T Brumback, WK Thompson, K Cummins, ... American journal of psychiatry 175 (4), 370-380, 2018 | 165 | 2018 |
| Adolescent development of cortical and white matter structure in the NCANDA sample: role of sex, ethnicity, puberty, and alcohol drinking A Pfefferbaum, T Rohlfing, KM Pohl, B Lane, W Chu, D Kwon, ... Cerebral cortex 26 (10), 4101-4121, 2016 | 132 | 2016 |
| A hierarchical algorithm for MR brain image parcellation KM Pohl, S Bouix, M Nakamura, T Rohlfing, RW McCarley, R Kikinis, ... IEEE transactions on medical imaging 26 (9), 1201-1212, 2007 | 131 | 2007 |
| Using the logarithm of odds to define a vector space on probabilistic atlases KM Pohl, J Fisher, S Bouix, M Shenton, RW McCarley, WEL Grimson, ... Medical Image Analysis 11 (5), 465-477, 2007 | 123 | 2007 |
| A unifying approach to registration, segmentation, and intensity correction KM Pohl, J Fisher, JJ Levitt, ME Shenton, R Kikinis, WEL Grimson, ... Medical image computing and computer-assisted intervention: MICCAI …, 2005 | 107 | 2005 |
| White matter microstructural recovery with abstinence and decline with relapse in alcohol dependence interacts with normal ageing: a controlled longitudinal DTI study A Pfefferbaum, MJ Rosenbloom, W Chu, SA Sassoon, T Rohlfing, ... The Lancet Psychiatry 1 (3), 202-212, 2014 | 103 | 2014 |
| Anatomical guided segmentation with non-stationary tissue class distributions in an expectation-maximization framework KM Pohl, S Bouix, R Kikinis, WEL Grimson 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro …, 2004 | 88 | 2004 |
| Eveningness and later sleep timing are associated with greater risk for alcohol and marijuana use in adolescence: initial findings from the national consortium on alcohol and … BP Hasler, PL Franzen, M de Zambotti, D Prouty, SA Brown, SF Tapert, ... Alcoholism: Clinical and Experimental Research 41 (6), 1154-1165, 2017 | 85 | 2017 |
| Joint segmentation and deformable registration of brain scans guided by a tumor growth model A Gooya, KM Pohl, M Bilello, G Biros, C Davatzikos Medical image computing and computer-assisted intervention: MICCAI …, 2011 | 85 | 2011 |
| Logarithm odds maps for shape representation KM Pohl, J Fisher, M Shenton, RW McCarley, WEL Grimson, R Kikinis, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2006: 9th …, 2006 | 83 | 2006 |
| Spatio-temporal graph convolution for resting-state fMRI analysis S Gadgil, Q Zhao, A Pfefferbaum, EV Sullivan, E Adeli, KM Pohl Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 82 | 2020 |
| Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study KM Pohl, EV Sullivan, T Rohlfing, W Chu, D Kwon, BN Nichols, Y Zhang, ... Neuroimage 130, 194-213, 2016 | 82 | 2016 |
| End-to-end Alzheimer’s disease diagnosis and biomarker identification S Esmaeilzadeh, DI Belivanis, KM Pohl, E Adeli Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 79 | 2018 |
| Training confounder-free deep learning models for medical applications Q Zhao, E Adeli, KM Pohl Nature communications 11 (1), 6010, 2020 | 77 | 2020 |
| Accelerated and premature aging characterizing regional cortical volume loss in human immunodeficiency virus infection: contributions from alcohol, substance use, and hepatitis … A Pfefferbaum, NM Zahr, SA Sassoon, D Kwon, KM Pohl, EV Sullivan Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 3 (10), 844-859, 2018 | 68 | 2018 |
Edith SullivanProfessor of Psychiatry, Stanford University School of MedicineVerified email at stanford.edu
