ADNI | Publications

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4453 Total Publications

Dementia analysis from functional connectivity network with graph neural networks
Wang, L, Yuan, W, Zeng, L, Xu, J, Mo, Y, Zhao, X and Peng, L
PMID: 102901 ; 2022; Journal Information Processing & Management; no. 59; pp. 3;

Enhanced Fuzzy Elephant Herding Optimization-Based OTSU Segmentation and Deep Learning for Alzheimer_s Disease Diagnosis
Alhassan, AM, Alzheimer_s Dis Neuroimaging, I and Australian Imaging Biomarkers, L
PMID: 14 ; 2022; Journal Mathematics; no. 10; pp. 8;

Cross-sectional and longitudinal Biomarker extraction and analysis for multicentre FLAIR brain MRI
DiGregorio, J, Gibicar, A, Khosravani, H, Maralani, PJ, Tardif, JC, Tyrrell, PN, Moody, AR and Khademi, A
PMID: 100091 ; 2022; Journal Neuroimage: Reports; no. 2; pp. 2;

Augmenting Imaging Biomarker Performance with Blood-Based Gene Expression Levels for Predicting Alzheimer_s Disease Progression
Dobromyslin, VI and Megherbi, DB
2022; Journal J Alzheimers Dis;

Data-Driven Analyses of Longitudinal Hippocampal Imaging Trajectories: Discrimination and Biomarker Prediction of Change Classes
Drouin, SM, McFall, GP, Potvin, O, Bellec, P, Masellis, M, Duchesne, S and Dixon, RA
2022; Journal J Alzheimers Dis;

Concurrent outcomes from multiple approaches of epistasis analysis for human body mass index associated loci provide insights into obesity biology
D_silva, S, Chakraborty, S and Kahali, B
PMID: 7306 ; PMCID:9068779 ; 2022; Journal Sci Rep; no. 12; pp. 1;

DARQ: Deep learning of quality control for stereotaxic registration of human brain MRI to the T1w MNI-ICBM 152 template
Fonov, VS, Dadar, M, Adni, T and Collins, DL
2022; Journal Neuroimage; pp. 119266;

Tau deposition patterns are associated with functional connectivity in primary tauopathies
Franzmeier, N, Brendel, M, Beyer, L, Slemann, L, Kovacs, GG, Arzberger, T, Kurz, C, Respondek, G, Lukic, MJ, Biel, D, Rubinski, A, Frontzkowski, L, Hummel, S, Muller, A, Finze, A, Palleis, C, Joseph, E, Weidinger, E, Katzdobler, S, Song, MM, Biechele, G, Kern, M, Scheifele, M, Rauchmann, BS, Perneczky, R, Rullman, M, Patt, M, Schildan, A, Barthel, H, Sabri, O, Rumpf, JJ, Schroeter, ML, Classen, J, Villemagne, V, Seibyl, J, Stephens, AW, Lee, EB, Coughlin, DG, Giese, A, Grossman, M, McMillan, CT, Gelpi, E, Molina-Porcel, L, Compta, Y, van Swieten, JC, Laat, LD, Troakes, C, Al-Sarraj, S, Robinson, JL, Xie, SX, Irwin, DJ, Roeber, S, Herms, J, Simons, M, Bartenstein, P, Lee, VM, Trojanowski, JQ, Levin, J, Hoglinger, G and Ewers, M
PMID: 18 ; 2022; Journal Nature Communications; no. 13; pp. 1;

Dementia diagnosis by ensemble deep neural networks using FDG-PET scans
Yiğit, A, Baştanlar, Y and Işık, Z
2022; Journal Signal, Image and Video Processing; no. 8;

Multi-scale discriminative regions analysis in FDG-PET imaging for early diagnosis of Alzheimer_s disease
Zhang, J, He, X, Qing, L, Xu, Y, Liu, Y and Chen, H
2022; Journal J Neural Eng; no. 19; pp. 4;