3740 Total Publications
Predicting AD conversion: comparison between prodromal AD guidelines and computer assisted PredictAD tool
Liu, Y., Mattila, J., Ruiz, M. Á. M., Paajanen, T., Koikkalainen, J., van Gils, M., … Soininen, H.
2013; Journal PloS One; vol. 8; no. 2; pp. e55246;
doi:10.1371/journal.pone.0055246
Polymorphism in the TOMM40 gene modifies the risk of developing sporadic inclusion body myositis and the age of onset of symptoms
Mastaglia, F. L., Rojana-udomsart, A., James, I., Needham, M., Day, T. J., Kiers, L., … Roses, A. D.
2013; Journal Neuromuscular Disorders; vol. 23; no. 12; pp. 969-74;
doi:10.1016/j.nmd.2013.09.008
Generative FDG-PET and MRI model of aging and disease progression in Alzheimer’s disease.
Dukart, J., Kherif, F., Mueller, K., Adaszewski, S., Schroeter, M. L., Frackowiak, R. S. J., & Draganski, B.
2013; Journal PLoS Computational Biology; vol. 9; no. 4; pp. e1002987;
doi:10.1371/journal.pcbi.1002987
The receiver operational characteristic for binary classification with multiple indices and its application to the neuroimaging study of Alzheimer’s disease.
Wu, X., Li, J., Ayutyanont, N., Protas, H., Jagust, W., Fleisher, A., … Chen, K.
2013; Journal IEEE/ACM Transactions on Computational Biology and Bioinformatics; vol. 10; no. 1; pp. 173-80;
doi:10.1109/TCBB.2012.141
STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation.
Jorge Cardoso, M., Leung, K., Modat, M., Keihaninejad, S., Cash, D., Barnes, J., … Ourselin, S.
2013; Journal Medical Image Analysis; vol. 17; no. 6; pp. 671-84;
doi:10.1016/j.media.2013.02.006
Visual ratings of atrophy in MCI: Prediction of conversion and relationship with CSF biomarkers.
Lehmann, M., Koedam, E. L., Barnes, J., Bartlett, J. W., Barkhof, F., Wattjes, M. P., … Fox, N. C.
2013; Journal Neurobiology of Aging; vol. 34; no. 1; pp. 73-82;
doi:10.1016/j.neurobiolaging.2012.03.010