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1800 Total Publications

4D Segmentation of Brain MR Images with Constrained Cortical Thickness Variation.
Wang, L., Shi, F., Li, G., & Shen, D.
2013; Journal PloS One; vol. 8; no. 7; pp. e64207; AWUVHdZzdzjauPDbjhq1 doi::10.1371/journal.pone.0064207
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding
Zhang, P., Wee, C., Niethammer, M., & Shen, D.
PMID: 24505678 ; 2013; Journal Medical Image Computing and Computer-Assisted Intervention; pp. 292-299; AWTYs7amwAl_G9zjEvfh doi:10.1007/978-3-642-40811-3_37
Man versus machine: comparison of radiologists’ interpretations and NeuroQuant(R) volumetric analyses of brain MRIs in patients with traumatic brain injury
Ross, D. E., Ochs, a L., Seabaugh, J. M., Shrader, C. R., & Alzheimer’s Disease Neuroimaging, I.
2013; Journal Journal of Neuropsychiatry and Clinical Neuroscience; vol. 25; no. 1; pp. 32-39; AWUVIqi8dzjauPDbjhrD doi:10.1176/appi.neuropsych.11120377
Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization.
Ortiz, A., G??rriz, J. M., Ram??rez, J., & Salas-Gonz??lez, D.
2013; Journal Neurocomputing; vol. 114; pp. 118-131; AWUVIqi8dzjauPDbjhrI doi:10.1016/j.neucom.2012.08.047
Prediction of Alzheimer’s disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning.
Eskildsen, S. F., Coupé, P., García-Lorenzo, D., Fonov, V., Pruessner, J. C., & Collins, D. L.
2013; Journal Neuroimage; vol. 65; pp. 511-521; AWUVIqi8dzjauPDbjhrK doi:10.1016/j.neuroimage.2012.09.058
Bi-level multi-source learning for heterogeneous block-wise missing data.
Xiang, S., Yuan, L., Fan, W., Wang, Y., Thompson, P. M., & Ye, J.
2013; Journal Neuroimage; vol. 102; pp. 192-206; AWUVIqi8dzjauPDbjhrL doi:10.1016/j.neuroimage.2013.08.015
Putting the Alzheimer’s cognitive test to the test II: Rasch Measurement Theory.
Hobart, J., Cano, S., Posner, H., Selnes, O., Stern, Y., Thomas, R., & Zajicek, J.
2013; Journal Alzheimer's and Dementia; vol. 9; no. 1; pp. S10-S20; AWUVFUjTMOwVf_qbJr8K doi:10.1016/j.jalz.2012.08.006
Frontolimbic atrophy is associated with agitation and aggression in mild cognitive impairment and Alzheimer’s disease.
Trzepacz, P. T., Yu, P., Bhamidipati, P. K., Willis, B., Forrester, T., Tabas, L., … Saykin, A. J.
2013; Journal Alzheimer's and Dementia; vol. 9; pp. 95-104; AWUVFUjTMOwVf_qbJr8N doi:10.1016/j.jalz.2012.10.005
The role of apolipoprotein E (APOE) genotype in early mild cognitive impairment (E-MCI).
Risacher, S. L., Kim, S., Shen, L., Nho, K., Foroud, T., Green, R. C., … Saykin, A. J.
2013; Journal Frontiers in Aging Neuroscience; vol. 5; pp. 11; AWUVFUjTMOwVf_qbJr8V doi:10.3389/fnagi.2013.00011
Spatial and anatomical regularization of SVM: A general framework for neuroimaging data.
Cuingnet, R., Glaunés, J. A., Chupin, M., Benali, H., & Colliot, O.
2013; Journal IEEE Transactions on Pattern Analysis and Machine Intelligence; vol. 35; no. 3; pp. 682-696; AWUVFUjTMOwVf_qbJr8W doi:10.1109/TPAMI.2012.142