Classification of Alzheimer's and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET

nork Nozadi, Seyed Hossein, Kadoury, Samuel, The Alzheimer's Disease Neuroimaging Initiative
Argitaratua izan da Int J Biomed Imaging (2018)

Longitudinal analysis is more powerful than cross-sectional analysis in detecting genetic association with neuroimaging phenotypes.

nork Zhiyuan Xu, Xiaotong Shen, Wei Pan, Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2014-01-01

Multimodal MRI-based imputation of the Aβ+ in early mild cognitive impairment

nork Tosun, Duygu, Joshi, Sarang, Weiner, Michael W, for the Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2014

Structural Brain Imaging Phenotypes of Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD) Found by Hierarchical Clustering

nork Kärkkäinen, Mikko, Prakash, Mithilesh, Zare, Marzieh, Tohka, Jussi, for the Alzheimer's Disease Neuroimaging Initiative
Argitaratua izan da Int J Alzheimers Dis (2020)

Tissue-Based MRI Intensity Standardization: Application to Multicentric Datasets

nork Robitaille, Nicolas, Mouiha, Abderazzak, Crépeault, Burt, Valdivia, Fernando, Duchesne, Simon, The Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2012

The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment

nork Annie M. Racine, Michael Brickhouse, David A. Wolk, Bradford C. Dickerson, Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2018-01-01

Sex differences in the association between apolipoprotein E ε4 allele and Alzheimer's disease markers

nork Erin E. Sundermann, My Tran, Pauline M. Maki, Mark W. Bondi, Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2018-01-01

Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Struct...

nork Da Ma, Donghuan Lu, Donghuan Lu, Karteek Popuri, Lei Wang, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2020-10-01

Improving the SIENA performance using BEaST brain extraction.

nork Kunio Nakamura, Simon F Eskildsen, Sridar Narayanan, Douglas L Arnold, D Louis Collins, Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2018-01-01

Functional Evolving Patterns of Cortical Networks in Progression of Alzheimer's Disease: A Graph-Based Resting-State fMRI Study

nork Li, Wei, Wen, Wen, Chen, Xi, Ni, BingJie, Lin, Xuefeng, Fan, Wenliang, The Alzheimer's Disease Neuroimaging Initiative
Argitaratua izan da Neural Plast (2020)

Bayesian latent time joint mixed‐effects model of progression in the Alzheimer's Disease Neuroimaging Initiative

nork Dan Li, Samuel Iddi, Wesley K. Thompson, Michael S. Rafii, Paul S. Aisen, Michael C. Donohue, Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2018-01-01

Differential white matter connectivity in early mild cognitive impairment according to CSF biomarkers.

nork Jae-Sung Lim, Young Ho Park, Jae-Won Jang, So Yong Park, Sangyun Kim, Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2014-01-01

MRI Asymmetry Index of Hippocampal Subfields Increases Through the Continuum From the Mild Cognitive Impairment to the Alzheimer's Disease

nork Alessia Sarica, Roberta Vasta, Fabiana Novellino, Maria Grazia Vaccaro, Antonio Cerasa, Antonio Cerasa, Aldo Quattrone, Aldo Quattrone, The Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2018-08-01

Cloud-Based Brain Magnetic Resonance Image Segmentation and Parcellation System for Individualized Prediction of Cognitive Worsening

nork Sakamoto, Ryo, Marano, Christopher, Miller, Michael I., Lyketsos, Constantine G., Li, Yue, Mori, Susumu, Oishi, Kenichi, ADNI, Alzheimer's Disease Neuroimaging Initiative
Argitaratua izan da J Healthc Eng (2019)

Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease

nork Loris Nanni, Matteo Interlenghi, Sheryl Brahnam, Christian Salvatore, Christian Salvatore, Sergio Papa, Raffaello Nemni, Isabella Castiglioni, Isabella Castiglioni, The Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2020-11-01

Quantifying Neurodegenerative Progression With DeepSymNet, an End-to-End Data-Driven Approach

nork Danilo Pena, Danilo Pena, Arko Barman, Arko Barman, Jessika Suescun, Xiaoqian Jiang, Mya C. Schiess, Luca Giancardo, Luca Giancardo, the Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2019-10-01

Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors.

nork Yue Cui, Bing Liu, Suhuai Luo, Xiantong Zhen, Ming Fan, Tao Liu, Wanlin Zhu, Mira Park, Tianzi Jiang, Jesse S Jin, Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2011-01-01

Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment

nork Kun Zhao, Qiang Zheng, Martin Dyrba, Timothy Rittman, Ang Li, Tongtong Che, Pindong Chen, Yuqing Sun, Xiaopeng Kang, Qiongling Li, Bing Liu, Yong Liu, Shuyu Li, for the Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2022-04-01

A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia

nork Amir Nazem, Chris C. Tang, Phoebe Spetsieris, Christian Dresel, Marc L. Gordon, Janine Diehl‐Schmid, Timo Grimmer, Igor Yakushev, Paul J. Mattis, Yilong Ma, Vijay Dhawan, David Eidelberg, Alzheimer's Disease Neuroimaging Initiative
Argitaratua 2018-01-01

Genomic Copy Number Analysis in Alzheimer's Disease and Mild Cognitive Impairment: An ADNI Study

nork Swaminathan, Shanker, Kim, Sungeun, Shen, Li, Risacher, Shannon L., Foroud, Tatiana, Pankratz, Nathan, Potkin, Steven G., Huentelman, Matthew J., Craig, David W., Weiner, Michael W., Saykin, Andrew J., The Alzheimer's Disease Neuroimaging Initiative (ADNI)
Argitaratua 2011