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Items: 1 to 50 of 90


Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize.

Qiao P, Lin M, Vasquez M, Matschi S, Chamness J, Baseggio M, Smith LG, Sabuncu MR, Gore MA, Scanlon MJ.

G3 (Bethesda). 2019 Dec 3;9(12):4235-4243. doi: 10.1534/g3.119.400757.


Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.

He T, Kong R, Holmes AJ, Nguyen M, Sabuncu MR, Eickhoff SB, Bzdok D, Feng J, Yeo BTT.

Neuroimage. 2019 Oct 11:116276. doi: 10.1016/j.neuroimage.2019.116276. [Epub ahead of print]


Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces.

Dalca AV, Balakrishnan G, Guttag J, Sabuncu MR.

Med Image Anal. 2019 Oct;57:226-236. doi: 10.1016/ Epub 2019 Jul 12.


Multi-modal latent factor exploration of atrophy, cognitive and tau heterogeneity in Alzheimer's disease.

Sun N, Mormino EC, Chen J, Sabuncu MR, Yeo BTT; Alzheimer’s Disease Neuroimaging Initiative.

Neuroimage. 2019 Nov 1;201:116043. doi: 10.1016/j.neuroimage.2019.116043. Epub 2019 Jul 22.


Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction.

Khosla M, Jamison K, Kuceyeski A, Sabuncu MR.

Neuroimage. 2019 Oct 1;199:651-662. doi: 10.1016/j.neuroimage.2019.06.012. Epub 2019 Jun 18.


Machine learning in resting-state fMRI analysis.

Khosla M, Jamison K, Ngo GH, Kuceyeski A, Sabuncu MR.

Magn Reson Imaging. 2019 Dec;64:101-121. doi: 10.1016/j.mri.2019.05.031. Epub 2019 Jun 5. Review.


Resting brain dynamics at different timescales capture distinct aspects of human behavior.

Liégeois R, Li J, Kong R, Orban C, Van De Ville D, Ge T, Sabuncu MR, Yeo BTT.

Nat Commun. 2019 May 24;10(1):2317. doi: 10.1038/s41467-019-10317-7.


Global signal regression strengthens association between resting-state functional connectivity and behavior.

Li J, Kong R, Liégeois R, Orban C, Tan Y, Sun N, Holmes AJ, Sabuncu MR, Ge T, Yeo BTT.

Neuroimage. 2019 Aug 1;196:126-141. doi: 10.1016/j.neuroimage.2019.04.016. Epub 2019 Apr 8.


Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models.

Haft-Javaherian M, Fang L, Muse V, Schaffer CB, Nishimura N, Sabuncu MR.

PLoS One. 2019 Mar 13;14(3):e0213539. doi: 10.1371/journal.pone.0213539. eCollection 2019.


VoxelMorph: A Learning Framework for Deformable Medical Image Registration.

Balakrishnan G, Zhao A, Sabuncu MR, Guttag J, Dalca AV.

IEEE Trans Med Imaging. 2019 Feb 4. doi: 10.1109/TMI.2019.2897538. [Epub ahead of print]


Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants.

Kernbach JM, Yeo BTT, Smallwood J, Margulies DS, Thiebaut de Schotten M, Walter H, Sabuncu MR, Holmes AJ, Gramfort A, Varoquaux G, Thirion B, Bzdok D.

Proc Natl Acad Sci U S A. 2018 Nov 27;115(48):12295-12300. doi: 10.1073/pnas.1804876115. Epub 2018 Nov 12.


The Shared Genetic Basis of Educational Attainment and Cerebral Cortical Morphology.

Ge T, Chen CY, Doyle AE, Vettermann R, Tuominen LJ, Holt DJ, Sabuncu MR, Smoller JW.

Cereb Cortex. 2018 Oct 1. doi: 10.1093/cercor/bhy216. [Epub ahead of print]


Medical Image Imputation from Image Collections.

Dalca AV, Bouman KL, Freeman WT, Rost NS, Sabuncu MR, Golland P.

IEEE Trans Med Imaging. 2018 Aug 22. doi: 10.1109/TMI.2018.2866692. [Epub ahead of print]


Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion.

Kong R, Li J, Orban C, Sabuncu MR, Liu H, Schaefer A, Sun N, Zuo XN, Holmes AJ, Eickhoff SB, Yeo BTT.

Cereb Cortex. 2019 Jun 1;29(6):2533-2551. doi: 10.1093/cercor/bhy123.


Dissociable influences of APOE ε4 and polygenic risk of AD dementia on amyloid and cognition.

Ge T, Sabuncu MR, Smoller JW, Sperling RA, Mormino EC; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2018 May 1;90(18):e1605-e1612. doi: 10.1212/WNL.0000000000005415. Epub 2018 Mar 28.


The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis.

Reinen JM, Chén OY, Hutchison RM, Yeo BTT, Anderson KM, Sabuncu MR, Öngür D, Roffman JL, Smoller JW, Baker JT, Holmes AJ.

Nat Commun. 2018 Mar 20;9(1):1157. doi: 10.1038/s41467-018-03462-y.


Correction: Phenome-wide heritability analysis of the UK Biobank.

Ge T, Chen CY, Neale BM, Sabuncu MR, Smoller JW.

PLoS Genet. 2018 Feb 9;14(2):e1007228. doi: 10.1371/journal.pgen.1007228. eCollection 2018 Feb.


Population Based Image Imputation.

Dalca AV, Bouman KL, Freeman WT, Rost NS, Sabuncu MR, Golland P.

Inf Process Med Imaging. 2017 Jun;10265:659-671. doi: 10.1007/978-3-319-59050-9_52. Epub 2017 May 23.


Reply to Risk and Zhu: Mixed-effects modeling as a principled approach to heritability analysis with repeat measurements.

Ge T, Holmes AJ, Buckner RL, Smoller JW, Sabuncu MR.

Proc Natl Acad Sci U S A. 2018 Jan 9;115(2):E123. doi: 10.1073/pnas.1719882115. Epub 2017 Dec 29. No abstract available.


Joint Analysis of Cortical Area and Thickness as a Replacement for the Analysis of the Volume of the Cerebral Cortex.

Winkler AM, Greve DN, Bjuland KJ, Nichols TE, Sabuncu MR, Håberg AK, Skranes J, Rimol LM.

Cereb Cortex. 2018 Feb 1;28(2):738-749. doi: 10.1093/cercor/bhx308.


Polygenic Risk of Spasmodic Dysphonia is Associated With Vulnerable Sensorimotor Connectivity.

Putzel GG, Battistella G, Rumbach AF, Ozelius LJ, Sabuncu MR, Simonyan K.

Cereb Cortex. 2018 Jan 1;28(1):158-166. doi: 10.1093/cercor/bhw363.


Guest editorial of the IJCARS MICCAI 2016 special issue.

Ourselin S, Sabuncu MR, Wells W, Joskowicz L, Unal G, Maier A.

Int J Comput Assist Radiol Surg. 2017 Aug;12(8):1243-1244. doi: 10.1007/s11548-017-1642-1. No abstract available.


The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016).

Ourselin S, Sabuncu MR, Wells W, Joskowicz L, Unal G, Maier A.

Med Image Anal. 2017 Oct;41:1. doi: 10.1016/ Epub 2017 Jun 29. No abstract available.


Heritability analysis with repeat measurements and its application to resting-state functional connectivity.

Ge T, Holmes AJ, Buckner RL, Smoller JW, Sabuncu MR.

Proc Natl Acad Sci U S A. 2017 May 23;114(21):5521-5526. doi: 10.1073/pnas.1700765114. Epub 2017 May 8.


Diffeomorphic functional brain surface alignment: Functional demons.

Nenning KH, Liu H, Ghosh SS, Sabuncu MR, Schwartz E, Langs G.

Neuroimage. 2017 Aug 1;156:456-465. doi: 10.1016/j.neuroimage.2017.04.028. Epub 2017 Apr 14.


Phenome-wide heritability analysis of the UK Biobank.

Ge T, Chen CY, Neale BM, Sabuncu MR, Smoller JW.

PLoS Genet. 2017 Apr 7;13(4):e1006711. doi: 10.1371/journal.pgen.1006711. eCollection 2017 Apr. Erratum in: PLoS Genet. 2018 Feb 9;14 (2):e1007228.


Tau and amyloid β proteins distinctively associate to functional network changes in the aging brain.

Sepulcre J, Sabuncu MR, Li Q, El Fakhri G, Sperling R, Johnson KA.

Alzheimers Dement. 2017 Nov;13(11):1261-1269. doi: 10.1016/j.jalz.2017.02.011. Epub 2017 Mar 30.


Mid-space-independent deformable image registration.

Aganj I, Iglesias JE, Reuter M, Sabuncu MR, Fischl B.

Neuroimage. 2017 May 15;152:158-170. doi: 10.1016/j.neuroimage.2017.02.055. Epub 2017 Feb 24.


Multidimensional heritability analysis of neuroanatomical shape.

Ge T, Reuter M, Winkler AM, Holmes AJ, Lee PH, Tirrell LS, Roffman JL, Buckner RL, Smoller JW, Sabuncu MR.

Nat Commun. 2016 Nov 15;7:13291. doi: 10.1038/ncomms13291.


Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer's disease.

Zhang X, Mormino EC, Sun N, Sperling RA, Sabuncu MR, Yeo BT; Alzheimer’s Disease Neuroimaging Initiative.

Proc Natl Acad Sci U S A. 2016 Oct 18;113(42):E6535-E6544. Epub 2016 Oct 4.


Morphometricity as a measure of the neuroanatomical signature of a trait.

Sabuncu MR, Ge T, Holmes AJ, Smoller JW, Buckner RL, Fischl B; Alzheimer's Disease Neuroimaging Initiative.

Proc Natl Acad Sci U S A. 2016 Sep 27;113(39):E5749-56. doi: 10.1073/pnas.1604378113. Epub 2016 Sep 9.


Polygenic risk of Alzheimer disease is associated with early- and late-life processes.

Mormino EC, Sperling RA, Holmes AJ, Buckner RL, De Jager PL, Smoller JW, Sabuncu MR; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2016 Aug 2;87(5):481-8. doi: 10.1212/WNL.0000000000002922. Epub 2016 Jul 6.


Predictive Modeling of Anatomy with Genetic and Clinical Data.

Dalca AV, Sridharan R, Sabuncu MR, Golland P.

Med Image Comput Comput Assist Interv. 2015 Oct;9351:519-526. Epub 2015 Nov 18.


Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration.

Aganj I, Iglesias JE, Reuter M, Sabuncu MR, Fischl B.

Med Image Comput Comput Assist Interv. 2015 Oct;9350:263-271. Epub 2015 Nov 20.


A Sparse Bayesian Learning Algorithm for Longitudinal Image Data.

Sabuncu MR.

Med Image Comput Comput Assist Interv. 2015 Oct;9351:411-418.


Identifying Shared Brain Networks in Individuals by Decoupling Functional and Anatomical Variability.

Langs G, Wang D, Golland P, Mueller S, Pan R, Sabuncu MR, Sun W, Li K, Liu H.

Cereb Cortex. 2016 Oct;26(10):4004-14. doi: 10.1093/cercor/bhv189. Epub 2015 Sep 1.


Multi-atlas segmentation of biomedical images: A survey.

Iglesias JE, Sabuncu MR.

Med Image Anal. 2015 Aug;24(1):205-219. doi: 10.1016/ Epub 2015 Jul 6. Review.


Massively expedited genome-wide heritability analysis (MEGHA).

Ge T, Nichols TE, Lee PH, Holmes AJ, Roffman JL, Buckner RL, Sabuncu MR, Smoller JW.

Proc Natl Acad Sci U S A. 2015 Feb 24;112(8):2479-84. doi: 10.1073/pnas.1415603112. Epub 2015 Feb 9.


A kernel machine method for detecting effects of interaction between multidimensional variable sets: an imaging genetics application.

Ge T, Nichols TE, Ghosh D, Mormino EC, Smoller JW, Sabuncu MR; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2015 Apr 1;109:505-514. doi: 10.1016/j.neuroimage.2015.01.029. Epub 2015 Jan 16.


An algorithm for optimal fusion of atlases with different labeling protocols.

Iglesias JE, Sabuncu MR, Aganj I, Bhatt P, Casillas C, Salat D, Boxer A, Fischl B, Van Leemput K.

Neuroimage. 2015 Feb 1;106:451-63. doi: 10.1016/j.neuroimage.2014.11.031. Epub 2014 Nov 22.


Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint.

Aganj I, Reuter M, Sabuncu MR, Fischl B.

Neuroimage. 2015 Feb 1;106:238-51. doi: 10.1016/j.neuroimage.2014.10.059. Epub 2014 Oct 30.


A cautionary analysis of STAPLE using direct inference of segmentation truth.

Van Leemput K, Sabuncu MR.

Med Image Comput Comput Assist Interv. 2014;17(Pt 1):398-406.


A universal and efficient method to compute maps from image-based prediction models.

Sabuncu MR.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):353-60.


Clinical prediction from structural brain MRI scans: a large-scale empirical study.

Sabuncu MR, Konukoglu E; Alzheimer’s Disease Neuroimaging Initiative.

Neuroinformatics. 2015 Jan;13(1):31-46. doi: 10.1007/s12021-014-9238-1.


Event time analysis of longitudinal neuroimage data.

Sabuncu MR, Bernal-Rusiel JL, Reuter M, Greve DN, Fischl B; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2014 Aug 15;97:9-18. doi: 10.1016/j.neuroimage.2014.04.015. Epub 2014 Apr 13. Erratum in: Neuroimage. 2015 Mar;108:74.


Genetic variation of oxidative phosphorylation genes in stroke and Alzheimer's disease.

Biffi A, Sabuncu MR, Desikan RS, Schmansky N, Salat DH, Rosand J, Anderson CD; Alzheimer's disease Neuroimaging Initiative (ADNI).

Neurobiol Aging. 2014 Aug;35(8):1956.e1-8. doi: 10.1016/j.neurobiolaging.2014.01.141. Epub 2014 Feb 5.


A probabilistic, non-parametric framework for inter-modality label fusion.

Iglesias JE, Sabuncu MR, Van Leemput K.

Med Image Comput Comput Assist Interv. 2013;16(Pt 3):576-83.


Example-based restoration of high-resolution magnetic resonance image acquisitions.

Konukoglu E, van der Kouwe A, Sabuncu MR, Fischl B.

Med Image Comput Comput Assist Interv. 2013;16(Pt 1):131-8.


In vivo characterization of the early states of the amyloid-beta network.

Sepulcre J, Sabuncu MR, Becker A, Sperling R, Johnson KA.

Brain. 2013 Jul;136(Pt 7):2239-52. doi: 10.1093/brain/awt146.


Improved inference in Bayesian segmentation using Monte Carlo sampling: application to hippocampal subfield volumetry.

Iglesias JE, Sabuncu MR, Van Leemput K; Alzheimer’s Disease Neuroimaging Initiative.

Med Image Anal. 2013 Oct;17(7):766-78. doi: 10.1016/ Epub 2013 May 22.

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