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ORCIDAlzheimer's Disease Neuroimaging Initiative
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2020 – today
- 2021
[j52]Masao Ueki, Alzheimer's Disease Neuroimaging Initiative:
Testing conditional mean through regression model sequence using Yanai's generalized coefficient of determination. Comput. Stat. Data Anal. 158: 107168 (2021)- [j51]Riyaj Uddin Khan, Mohammad Tanveer, Ram Bilas Pachori, Alzheimer's Disease Neuroimaging Initiative:
A novel method for the classification of Alzheimer's disease from normal controls using magnetic resonance imaging. Expert Syst. J. Knowl. Eng. 38(1) (2021) - [j50]Katia Maria Poloni
, Italo Antonio Duarte de Oliveira, Roger Tam, Ricardo José Ferrari, Alzheimer's Disease Neuroimaging Initiative:
Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses. Neurocomputing 419: 126-135 (2021) - [j49]Lei Du, Jin Zhang, Fang Liu, Huiai Wang, Lei Guo, Junwei Han, Alzheimer's Disease Neuroimaging Initiative:
Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis. Medical Image Anal. 70: 102003 (2021) - [i8]Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz, Alzheimer's Disease Neuroimaging Initiative, Dominantly Inherited Alzheimer Network (DIAN):
Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability. CoRR abs/2103.16685 (2021) - 2020
- [j48]Jinwang Feng, Shao-Wu Zhang, Luonan Chen, Alzheimer's Disease Neuroimaging Initiative:
Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier. Artif. Intell. Medicine 108: 101940 (2020) - [j47]Adam Kaplan, Eric F. Lock, Mark Fiecas, Alzheimer's Disease Neuroimaging Initiative:
Bayesian GWAS with Structured and Non-Local Priors. Bioinform. 36(1): 17-25 (2020) - [j46]Bharat Richhariya, Muhammad Tanveer, A. H. Rashid, Alzheimer's Disease Neuroimaging Initiative:
Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE). Biomed. Signal Process. Control. 59: 101903 (2020) - [j45]Seong J. Yang, Hyejin Shin, Sang Han Lee, Seokho Lee, Alzheimer's Disease Neuroimaging Initiative:
Functional linear regression model with randomly censored data: Predicting conversion time to Alzheimer 's disease. Comput. Stat. Data Anal. 150: 107009 (2020) - [j44]Bharat Richhariya, Muhammad Tanveer, Alzheimer's Disease Neuroimaging Initiative:
Least squares projection twin support vector clustering (LSPTSVC). Inf. Sci. 533: 1-23 (2020) - [j43]Telma Pereira, Sandra Cardoso, Manuela Guerreiro, Alexandre de Mendonça, Sara C. Madeira, Alzheimer's Disease Neuroimaging Initiative:
Targeting the uncertainty of predictions at patient-level using an ensemble of classifiers coupled with calibration methods, Venn-ABERS, and Conformal Predictors: A case study in AD. J. Biomed. Informatics 101: 103350 (2020) - [j42]Anup Tuladhar, Sascha Gill, Zahinoor Ismail, Nils D. Forkert, Alzheimer's Disease Neuroimaging Initiative:
Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling. J. Biomed. Informatics 106: 103424 (2020) - [j41]Salma Dhifallah, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative:
Estimation of connectional brain templates using selective multi-view network normalization. Medical Image Anal. 59 (2020) - [j40]Clement Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi, Alzheimer's Disease Neuroimaging Initiative:
Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data. NeuroImage 205 (2020) - [j39]Marco Palma, Shahin Tavakoli, Julia Brettschneider, Thomas E. Nichols, Alzheimer's Disease Neuroimaging Initiative:
Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression. NeuroImage 219: 116938 (2020) - [j38]Jieyu Cheng, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei, Alzheimer's Disease Neuroimaging Initiative:
Cortical surface registration using unsupervised learning. NeuroImage 221: 117161 (2020) - [j37]Nicolas Georges, Islem Mhiri, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative:
Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks. Pattern Recognit. 101: 107183 (2020) - [i7]Hoo-Chang Shin, Alvin Ihsani, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative:
GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis. CoRR abs/2008.04393 (2020) - [i6]Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative:
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI. CoRR abs/2008.04396 (2020) - [i5]Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative:
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering. CoRR abs/2010.13269 (2020)
2010 – 2019
- 2019
- [j36]Loris Nanni, Sheryl Brahnam, Christian Salvatore, Isabella Castiglioni, Alzheimer's Disease Neuroimaging Initiative:
Texture descriptors and voxels for the early diagnosis of Alzheimer's disease. Artif. Intell. Medicine 97: 19-26 (2019) - [j35]Meiyan Huang, Yuwei Yu, Wei Yang, Qianjin Feng, Alzheimer's Disease Neuroimaging Initiative:
Incorporating spatial-anatomical similarity into the VGWAS framework for AD biomarker detection. Bioinform. 35(24): 5271-5280 (2019) - [j34]Javier De Velasco Oriol, Edgar E. Vallejo-Clemente, Karol Estrada, José Gerardo Taméz Peña, Alzheimer's Disease Neuroimaging Initiative:
Benchmarking machine learning models for late-onset alzheimer's disease prediction from genomic data. BMC Bioinform. 20(1): 709 (2019) - [j33]Ruoxuan Cui, Manhua Liu, Alzheimer's Disease Neuroimaging Initiative:
RNN-based longitudinal analysis for diagnosis of Alzheimer's disease. Comput. Medical Imaging Graph. 73: 1-10 (2019) - [j32]Eufemia Lella, Nicola Amoroso, Angela Lombardi, Tommaso Maggipinto, Sabina Tangaro, Roberto Bellotti, Alzheimer's Disease Neuroimaging Initiative:
Communicability disruption in Alzheimer's disease connectivity networks. J. Complex Networks 7(1): 83-100 (2019) - [j31]Yubraj Gupta, Ramesh Kumar Lama, Goo-Rak Kwon, Alzheimer's Disease Neuroimaging Initiative:
Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers. Frontiers Comput. Neurosci. 13: 72 (2019) - [j30]Zhan Gao, Juan Huang, Xiaxia Chen, Feifei Dong, Hui Li, Ling Shang, Xun Jiang, Ling Wei, Alzheimer's Disease Neuroimaging Initiative:
Identifying Glucose Metabolism Decreased Brain Regions by Independent Component Analysis and Statistical Parametric Mapping to Understand the Aging Processing. J. Medical Imaging Health Informatics 9(9): 1938-1942 (2019) - [j29]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative:
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. NeuroImage 186: 713-727 (2019) - [j28]Nanbo Sun, Elizabeth C. Mormino, Jianzhong Chen, Mert R. Sabuncu, B. T. Thomas Yeo, Alzheimer's Disease Neuroimaging Initiative:
Multi-modal latent factor exploration of atrophy, cognitive and tau heterogeneity in Alzheimer's disease. NeuroImage 201 (2019) - [j27]Eunho Lee, Jun-Sik Choi, Minjeong Kim, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative:
Toward an interpretable Alzheimer's disease diagnostic model with regional abnormality representation via deep learning. NeuroImage 202 (2019) - [i4]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative:
An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion. CoRR abs/1903.07165 (2019) - 2018
- [j26]Michael Osadebey, Marius Pedersen, Douglas L. Arnold, Katrina Wendel-Mitoraj, Alzheimer's Disease Neuroimaging Initiative:
Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study. BMC Medical Imaging 18(1): 31:1-31:19 (2018) - [j25]Seyed Hani Hojjati, Ata Ebrahimzadeh, Ali Khazaee, Abbas Babajani-Feremi, Alzheimer's Disease Neuroimaging Initiative:
Predicting conversion from MCI to AD by integrating rs-fMRI and structural MRI. Comput. Biol. Medicine 102: 30-39 (2018) - [j24]Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative:
Adaptive fusion of texture-based grading for Alzheimer's disease classification. Comput. Medical Imaging Graph. 70: 8-16 (2018) - [j23]Fan Li, Manhua Liu, Alzheimer's Disease Neuroimaging Initiative:
Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks. Comput. Medical Imaging Graph. 70: 101-110 (2018) - [j22]Wei Li, Miao Wang, Wen Wen, Yue Huang, Xi Chen, Wenliang Fan, Alzheimer's Disease Neuroimaging Initiative:
Neural Dynamics during Resting State: A Functional Magnetic Resonance Imaging Exploration with Reduction and Visualization. Complex. 2018: 4181649:1-4181649:10 (2018) - [j21]Manhua Liu, Danni Cheng, Weiwu Yan, Alzheimer's Disease Neuroimaging Initiative:
Classification of Alzheimer's Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images. Frontiers Neuroinformatics 12: 35 (2018) - [j20]Seyed Hossein Nozadi, Samuel Kadoury, Alzheimer's Disease Neuroimaging Initiative:
Classification of Alzheimer's and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET. Int. J. Biomed. Imaging 2018: 1247430:1-1247430:13 (2018) - [j19]Subrata Rana, Surupa Roy, Kalyan Das, Alzheimer's Disease Neuroimaging Initiative:
Analysis of ordinal longitudinal data under nonignorable missingness and misreporting: An application to Alzheimer's disease study. J. Multivar. Anal. 166: 62-77 (2018) - [j18]Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Oscar Camara, Guorong Wu, Dinggang Shen, Juan Domingo Gispert, José Luis Molinuevo, Miguel Ángel González Ballester, Alzheimer's Disease Neuroimaging Initiative:
Learning non-linear patch embeddings with neural networks for label fusion. Medical Image Anal. 44: 143-155 (2018) - [j17]Mahsa Dadar, Vladimir S. Fonov, D. Louis Collins, Alzheimer's Disease Neuroimaging Initiative:
A comparison of publicly available linear MRI stereotaxic registration techniques. NeuroImage 174: 191-200 (2018) - [j16]Leo Yu-Feng Liu, Yufeng Liu, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative:
SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data. NeuroImage 175: 230-245 (2018) - [j15]Zhuo Sun, Yuchuan Qiao, Boudewijn P. F. Lelieveldt, Marius Staring, Alzheimer's Disease Neuroimaging Initiative:
Integrating spatial-anatomical regularization and structure sparsity into SVM: Improving interpretation of Alzheimer's disease classification. NeuroImage 178: 445-460 (2018) - [j14]Brian Hart, Ivor Cribben, Mark Fiecas, Alzheimer's Disease Neuroimaging Initiative:
A longitudinal model for functional connectivity networks using resting-state fMRI. NeuroImage 178: 687-701 (2018) - [j13]Yasser Iturria-Medina, Felix Carbonell, Alan C. Evans, Alzheimer's Disease Neuroimaging Initiative:
Multimodal imaging-based therapeutic fingerprints for optimizing personalized interventions: Application to neurodegeneration. NeuroImage 179: 40-50 (2018) - [j12]Azar Zandifar, Vladimir S. Fonov, Jens C. Pruessner, D. Louis Collins, Alzheimer's Disease Neuroimaging Initiative:
The EADC-ADNI harmonized protocol for hippocampal segmentation: A validation study. NeuroImage 181: 142-148 (2018) - [j11]Nikhil Bhagwat, Joseph D. Viviano, Aristotle N. Voineskos, M. Mallar Chakravarty, Alzheimer's Disease Neuroimaging Initiative:
Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data. PLoS Comput. Biol. 14(9) (2018) - [c1]Can Gafuroglu, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative:
Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia. MICCAI (3) 2018: 437-445 - [i3]Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein, Alzheimer's Disease Neuroimaging Initiative:
Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling. CoRR abs/1808.03604 (2018) - [i2]Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot, Alzheimer's Disease Neuroimaging Initiative:
Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. CoRR abs/1808.06452 (2018) - [i1]Arjun Punjabi, Adam Martersteck, Yanran Wang, Todd B. Parrish, Aggelos K. Katsaggelos, Alzheimer's Disease Neuroimaging Initiative:
Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks. CoRR abs/1811.05105 (2018) - 2017
- [j10]Qing Li, Xia Wu, Lele Xu, Kewei Chen, Li Yao, Alzheimer's Disease Neuroimaging Initiative:
Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning. Frontiers Comput. Neurosci. 11: 117 (2017) - [j9]Jorge Munilla, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Alzheimer's Disease Neuroimaging Initiative:
Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease. Frontiers Neuroinformatics 11: 19 (2017) - [j8]Anil Rao, João M. Monteiro, Janaina Mourão Miranda, Alzheimer's Disease Neuroimaging Initiative:
Predictive modelling using neuroimaging data in the presence of confounds. NeuroImage 150: 23-49 (2017) - [j7]Mahsa Dadar, Josefina Maranzano, Karen Misquitta, Cassandra J. Anor, Vladimir S. Fonov, M. Carmela Tartaglia, Owen T. Carmichael, Charles DeCarli, D. Louis Collins, Alzheimer's Disease Neuroimaging Initiative:
Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging. NeuroImage 157: 233-249 (2017) - [j6]Chao Huang, Paul M. Thompson, Yalin Wang, Yang Yu, Jingwen Zhang, Dehan Kong, Rivka R. Colen, Rebecca C. Knickmeyer, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative:
FGWAS: Functional genome wide association analysis. NeuroImage 159: 107-121 (2017) - 2010
- [j5]Jason L. Stein, Xue Hua, Suh Lee, April J. Ho, Alex D. Leow, Arthur W. Toga, Andrew J. Saykin, Li Shen, Tatiana Foroud, Nathan Pankratz, Matthew J. Huentelman, David W. Craig, Jill D. Gerber, April N. Allen, Jason J. Corneveaux, Bryan M. DeChairo, Steven G. Potkin, Michael W. Weiner, Paul M. Thompson, Alzheimer's Disease Neuroimaging Initiative:
Voxelwise genome-wide association study (vGWAS). NeuroImage 53(3): 1160-1174 (2010)
2000 – 2009
- 2009
- [j4]Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Christina Avedissian, Sarah K. Madsen, Neelroop Parikshak, Arthur W. Toga, Clifford R. Jack Jr., Norbert Schuff, Michael W. Weiner, Paul M. Thompson, Alzheimer's Disease Neuroimaging Initiative:
Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls. NeuroImage 45(1): S3-S15 (2009) - [j3]Alex D. Leow, Igor Yanovsky, Neelroop Parikshak, Xue Hua, Suh Lee, Arthur W. Toga, Clifford R. Jack Jr., Matt A. Bernstein, Paula J. Britson, Jeffrey L. Gunter, Chadwick P. Ward, Bret J. Borowski, Leslie M. Shaw, John Q. Trojanowski, Adam Fleisher, Danielle J. Harvey, John Kornak, Norbert Schuff, Gene E. Alexander, Michael W. Weiner, Paul M. Thompson, Alzheimer's Disease Neuroimaging Initiative:
Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition. NeuroImage 45(3): 645-655 (2009) - [j2]Jessica B. S. Langbaum, Kewei Chen, Wendy Lee, Cole Reschke, Daniel Bandy, Adam Fleisher, Gene E. Alexander, Norman L. Foster, Michael W. Weiner, Robert A. Koeppe, William J. Jagust, Eric Reiman, Alzheimer's Disease Neuroimaging Initiative:
Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer's Disease Neuroimaging Initiative (ADNI). NeuroImage 45(4): 1107-1116 (2009) - 2008
- [j1]Yong Fan, Nematollah Batmanghelich, Christopher M. Clark, Christos Davatzikos, Alzheimer's Disease Neuroimaging Initiative:
Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline. NeuroImage 39(4): 1731-1743 (2008)
Coauthor Index
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