4453 Total Publications
Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images
Rachmadi, MF, Valdes-Hernandez, MD, Li, H, Guerrero, R, Meijboom, R, Wiseman, S, Waldman, A, Zhang, JG, Rueckert, D, Wardlaw, J and Komura, T
2020; Journal Computerized Medical Imaging and Graphics; vol. 79;
Prediction of conversion to Alzheimer's disease using deep survival analysis of MRI images
Nakagawa, T, Ishida, M, Naito, J, Nagai, A, Yamaguchi, S and Onoda, K
2020; Journal Brain Commun; vol. 2; no. 1; pp. fcaa057;
Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease
Nanni, L, Interlenghi, M, Brahnam, S, Salvatore, C, Papa, S, Nemni, R and Castiglioni, I
PMCID:7674838
; 2020; Journal Front Neurol; vol. 11; pp. 576194;
Selection of the optimal intensity normalization region for FDG-PET studies of normal aging and Alzheimer's disease
Nugent, S, Croteau, E, Potvin, O, Castellano, CA, Dieumegarde, L, Cunnane, SC and Duchesne, S
PMID: 32518360
; 2020; Journal Scientific Reports; vol. 10; no. 1;
Association of PET‐based stages of amyloid deposition with neuropathological markers of Aβ pathology
Teipel, SJ, Temp, AG, Levin, F, Dyrba, M, Grothe, MJ and Initiative, AsDN
2020; Journal Annals of Clinical and Translational Neurology;
Type 2 Diabetes Interacts With Alzheimer Disease Risk Factors to Predict Functional Decline
Thomas, KR, Bangen, KJ, Weigand, AJ, Edmonds, EC, Sundermann, E, Wong, CG, Eppig, J, Werhane, ML, Delano-Wood, L and Bondi, MW
PMCID:6952586
; 2020; Journal Alzheimer Dis Assoc Disord; vol. 34; no. 1; pp. 17-Oct;
Objective subtle cognitive difficulties predict future amyloid accumulation and neurodegeneration
Thomas, KR, Bangen, KJ, Weigand, AJ, Edmonds, EC, Wong, CG, Cooper, S, Delano-Wood, L and Bondi, MW
2020; Journal Neurology; vol. 94; no. 4; pp. E397-E406;