Suivre
Kilian M. Pohl
Kilian M. Pohl
Professor, Department of Psychiatry and (by courtesy) Electrical Engineering, Stanford University
Adresse e-mail validée de stanford.edu - Page d'accueil
Titre
Citée par
Citée par
Année
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
6472019
A Bayesian model for joint segmentation and registration
KM Pohl, J Fisher, WEL Grimson, R Kikinis, WM Wells
NeuroImage 31 (1), 228-239, 2006
3412006
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
2792012
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
2122015
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
1992007
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
1952018
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
1522016
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
1412020
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
1342007
Training confounder-free deep learning models for medical applications
Q Zhao, E Adeli, KM Pohl
Nature communications 11 (1), 6010, 2020
1252020
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
1232007
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
1122014
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: 8th …, 2005
1072005
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
982018
Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. NeuroImage, 202, Article 116091
DJ Hagler Jr, S Hatton, MD Cornejo, C Makowski, DA Fair, AS Dick, ...
942019
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
932017
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: 14th …, 2011
892011
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
882016
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
882004
Variational autoencoder for regression: Application to brain aging analysis
Q Zhao, E Adeli, N Honnorat, T Leng, KM Pohl
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
852019
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20