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1800 Total Publications

Analysis of Alzheimer's Disease Based on the Random Neural Network Cluster in fMRI
Bi, X. A., Jiang, Q., Sun, Q., Shu, Q. and Liu, Y.
PMID: 30245623 ; PMCID:6137384 ; 2018; Journal Front Neuroinform; vol. 12; pp. 60; AW5HyxaqdzjauPDbjhvY
Lee, H., Chung, M. K., Kang, H., Choi, H., Kim, Y. K. and Lee, D. S.
PMID: 30319734 ; PMCID:6181146 ; 2018; Journal Proc IEEE Int Symp Biomed Imaging; vol. 2018; pp. 20-23; AW5H0ItTMOwVf_qbJr_9
Earlier detection of Alzheimer disease using N-fold cross validation approach
Sampath, R. and Indumathi, J.
PMID: 30280260 ; 2018; Journal J Med Syst; vol. 42; no. 11; pp. 217; AW5H3KFUdzjauPDbjhvx
Evaluation of non-negative matrix factorization of grey matter in age prediction
D. P. Varikuti, S. Genon, A. Sotiras, H. Schwender, F. Hoffstaedter, K. R. Patil, C. Jockwitz, S. Caspers, S. Moebus, K. Amunts, C. Davatzikos and S. B. Eickhoff
2018; Journal Neuroimage; vol. 173; pp. 394-410; AWUW5A4cdzjauPDbjhuC doi:10.1016/j.neuroimage.2018.03.007
Biological Factors Contributing to the Response to Cognitive Training in Mild Cognitive Impairment
J. Peter, L. V. Schumacher, V. Landerer, A. Abdulkadir, C. P. Kaller, J. Lahr and S. Kloppel
PMCID:5734129 ; 2018; Journal J Alzheimers Dis; vol. 61; no. 1; pp. 333-345; AWUW0BZZdzjauPDbjhty doi:10.3233/JAD-170580
Alzheimer disease detection from structural MR images using FCM based weighted probabilistic neural network
B. Duraisamy, J. V. Shanmugam and J. Annamalai
2018; Journal Brain Imaging Behav; AWUW0BZZdzjauPDbjht6 doi:10.1007/s11682-018-9831-2
Whole brain white matter histogram analysis of diffusion tensor imaging data detects microstructural damage in mild cognitive impairment and alzheimer's disease patients
G. Giulietti, M. Torso, L. Serra, B. Spano, C. Marra, C. Caltagirone, M. Cercignani and M. Bozzali
2018; Journal J Magn Reson Imaging; AWUW0BZZdzjauPDbjht7 doi:10.1002/jmri.25947
Defining SNAP by cross-sectional and longitudinal definitions of neurodegeneration
L. E. M. Wisse, S. R. Das, C. Davatzikos, B. C. Dickerson, S. X. Xie, P. A. Yushkevich and D. A. Wolk
PMCID:5816023 ; 2018; Journal Neuroimage Clin; vol. 18; pp. 407-412; AWUW5A4cdzjauPDbjhuG doi:10.1016/j.nicl.2018.02.008
KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images
T. Eo, Y. Jun, T. Kim, J. Jang, H. J. Lee and D. Hwang
2018; Journal Magnetic resonance in medicine; AWUW5A4cdzjauPDbjhuU
Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis
B. Jie, M. Liu, D. Zhang and D. Shen
2018; Journal IEEE Transactions on Image Processing; vol. 27; no. 5; pp. 2340-2353; AWUW5A4cdzjauPDbjhuc