Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline. - Yong Fan 001; Nematollah Batmanghelich; Christopher M. Clark; Christos Davatzikos; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2008)

Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer's Disease Neuroimaging Initiative (ADNI). - Jessica B. S. Langbaum; Kewei Chen 001; 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; et al. (NeuroImage, 2009)

Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition. - 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; et al. (NeuroImage, 2009)

Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls. - 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; et al. (NeuroImage, 2009)

Voxelwise genome-wide association study (vGWAS). - Jason L. Stein; Xue Hua; Suh Lee; April J. Ho; Alex D. Leow; Arthur W. Toga; Andrew J. Saykin; Li Shen 001; Tatiana Foroud; Nathan Pankratz; Matthew J. Huentelman; David W. Craig; et al. (NeuroImage, 2010)

Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning. - Qing Li 027; Xia Wu 001; Lele Xu; Kewei Chen 001; Li Yao 002; Alzheimer's Disease Neuroimaging Initiative (Frontiers Comput. Neurosci., 2017)

Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease. - Jorge Munilla; Andrés Ortiz 001; Juan Manuel Górriz; Javier Ramírez 001; Alzheimer's Disease Neuroimaging Initiative (Frontiers Neuroinformatics, 2017)

Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging. - Mahsa Dadar; Josefina Maranzano; Karen Misquitta; Cassandra J. Anor; Vladimir S. Fonov; Maria Carmela Tartaglia; Owen T. Carmichael; Charles DeCarli; D. Louis Collins; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2017)

FGWAS: Functional genome wide association analysis. - Chao Huang 005; Paul M. Thompson; Yalin Wang 001; Yang Yu 053; Jingwen Zhang; Dehan Kong; Rivka R. Colen; Rebecca C. Knickmeyer; Hongtu Zhu; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2017)

Predictive modelling using neuroimaging data in the presence of confounds. - Anil Rao; João M. Monteiro; Janaina Mourão Miranda; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2017)

Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia. - Can Gafuroglu; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (MICCAI (3), 2018)

Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study. - Michael Osadebey; Marius Pedersen; Douglas L. Arnold; Katrina Wendel-Mitoraj; Alzheimer's Disease Neuroimaging Initiative (BMC Medical Imaging, 2018)

Predicting conversion from MCI to AD by integrating rs-fMRI and structural MRI. - Seyed Hani Hojjati; Ata Ebrahimzadeh; Ali Khazaee; Abbas Babajani-Feremi; Alzheimer's Disease Neuroimaging Initiative (Comput. Biol. Medicine, 2018)

Adaptive fusion of texture-based grading for Alzheimer's disease classification. - Kilian Hett; Vinh-Thong Ta 002; José V. Manjón; Pierrick Coupé; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2018)

Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks. - Fan Li; Manhua Liu; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2018)

Neural Dynamics during Resting State: A Functional Magnetic Resonance Imaging Exploration with Reduction and Visualization. - Wei Li 086; Miao Wang 005; Wen Wen; Yue Huang; Xi Chen 002; Wenliang Fan; Alzheimer's Disease Neuroimaging Initiative (Complex., 2018)

Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling. - Vikram Venkatraghavan; Esther E. Bron; Wiro J. Niessen; Stefan Klein 001; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2018)

Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. - Jorge Samper-González; Ninon Burgos; Simona Bottani; Sabrina Fontanella; Pascal Lu; Arnaud Marcoux; Alexandre Routier; Jérémy Guillon; Michael Bacci; Junhao Wen 002; Anne Bertrand; Hugo Bertin; et al. (CoRR, 2018)

Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks. - Arjun Punjabi; Adam Martersteck; Yanran Wang 002; Todd B. Parrish; Aggelos K. Katsaggelos; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2018)

Classification of Alzheimer's Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images. - Manhua Liu; Danni Cheng; Weiwu Yan; Alzheimer's Disease Neuroimaging Initiative (Frontiers Neuroinformatics, 2018)

Classification of Alzheimer's and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET. - Seyed Hossein Nozadi; Samuel Kadoury; Alzheimer's Disease Neuroimaging Initiative (Int. J. Biomed. Imaging, 2018)

Analysis of ordinal longitudinal data under nonignorable missingness and misreporting: An application to Alzheimer's disease study. - Subrata Rana; Surupa Roy; Kalyan Das; Alzheimer's Disease Neuroimaging Initiative (J. Multivar. Anal., 2018)

Learning non-linear patch embeddings with neural networks for label fusion. - Gerard Sanroma; Oualid M. Benkarim; Gemma Piella; Oscar Camara 001; Guorong Wu 001; Dinggang Shen; Juan Domingo Gispert; José Luis Molinuevo; Miguel Ángel González Ballester; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2018)

A comparison of publicly available linear MRI stereotaxic registration techniques. - Mahsa Dadar; Vladimir S. Fonov; D. Louis Collins; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2018)

A longitudinal model for functional connectivity networks using resting-state fMRI. - Brian Hart; Ivor Cribben; Mark Fiecas; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2018)

Multimodal imaging-based therapeutic fingerprints for optimizing personalized interventions: Application to neurodegeneration. - Yasser Iturria-Medina; Felix Carbonell; Alan C. Evans; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2018)

SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data. - Leo Yu-Feng Liu; Yufeng Liu; Hongtu Zhu; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2018)

Integrating spatial-anatomical regularization and structure sparsity into SVM: Improving interpretation of Alzheimer's disease classification. - Zhuo Sun; Yuchuan Qiao; Boudewijn P. F. Lelieveldt; Marius Staring; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2018)

The EADC-ADNI harmonized protocol for hippocampal segmentation: A validation study. - Azar Zandifar; Vladimir S. Fonov; Jens C. Pruessner; D. Louis Collins; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2018)

Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data. - Nikhil Bhagwat; Joseph D. Viviano; Aristotle N. Voineskos; M. Mallar Chakravarty; Alzheimer's Disease Neuroimaging Initiative (PLoS Comput. Biol., 2018)

Texture descriptors and voxels for the early diagnosis of Alzheimer's disease. - Loris Nanni; Sheryl Brahnam; Christian Salvatore; Isabella Castiglioni; Alzheimer's Disease Neuroimaging Initiative (Artif. Intell. Medicine, 2019)

Incorporating spatial-anatomical similarity into the VGWAS framework for AD biomarker detection. - Meiyan Huang; Yuwei Yu; Wei Yang 006; Qianjin Feng; Alzheimer's Disease Neuroimaging Initiative (Bioinform., 2019)

Benchmarking machine learning models for late-onset alzheimer's disease prediction from genomic data. - Javier De Velasco Oriol; Edgar E. Vallejo-Clemente; Karol Estrada; José Gerardo Tamez-Peña; Alzheimer's Disease Neuroimaging Initiative (BMC Bioinform., 2019)

RNN-based longitudinal analysis for diagnosis of Alzheimer's disease. - Ruoxuan Cui; Manhua Liu; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2019)

Communicability disruption in Alzheimer's disease connectivity networks. - Eufemia Lella; Nicola Amoroso; Angela Lombardi; Tommaso Maggipinto; Sabina Tangaro; Roberto Bellotti; Alzheimer's Disease Neuroimaging Initiative (J. Complex Networks, 2019)

An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion. - Rémi Giraud; Vinh-Thong Ta 002; Nicolas Papadakis; José V. Manjón; D. Louis Collins; Pierrick Coupé; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2019)

Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers. - Yubraj Gupta; Ramesh Kumar Lama; Goo-Rak Kwon; Alzheimer's Disease Neuroimaging Initiative (Frontiers Comput. Neurosci., 2019)

Identifying Glucose Metabolism Decreased Brain Regions by Independent Component Analysis and Statistical Parametric Mapping to Understand the Aging Processing. - Zhan Gao; Juan Huang; Xiaxia Chen; Feifei Dong; Hui Li; Ling Shang; Xun Jiang; Ling Wei; Alzheimer's Disease Neuroimaging Initiative (J. Medical Imaging Health Informatics, 2019)

Toward an interpretable Alzheimer's disease diagnostic model with regional abnormality representation via deep learning. - Eunho Lee; Jun-Sik Choi; Minjeong Kim; Heung-Il Suk; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2019)

QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. - Abhijit Guha Roy; Sailesh Conjeti; Nassir Navab; Christian Wachinger; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2019)

Multi-modal latent factor exploration of atrophy, cognitive and tau heterogeneity in Alzheimer's disease. - Nanbo Sun; Elizabeth C. Mormino; Jianzhong Chen; Mert R. Sabuncu; B. T. Thomas Yeo; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2019)

Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier. - Jinwang Feng; Shao-Wu Zhang 001; Luonan Chen; Alzheimer's Disease Neuroimaging Initiative (Artif. Intell. Medicine, 2020)

Bayesian GWAS with Structured and Non-Local Priors. - Adam Kaplan; Eric F. Lock; Mark Fiecas; Alzheimer's Disease Neuroimaging Initiative (Bioinform., 2020)

Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE). - Bharat Richhariya; Muhammad Tanveer 001; Ashraf Haroon Rashid; Alzheimer's Disease Neuroimaging Initiative (Biomed. Signal Process. Control., 2020)

GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis. - Hoo-Chang Shin; Alvin Ihsani; Swetha Mandava; Sharath Turuvekere Sreenivas; Christopher Forster; Jiook Cha; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2020)

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI. - Hoo-Chang Shin; Alvin Ihsani; Ziyue Xu; Swetha Mandava; Sharath Turuvekere Sreenivas; Christopher Forster; Jiook Cha; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2020)

Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering. - Shih-Gu Huang; Moo K. Chung; Anqi Qiu; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2020)

Functional linear regression model with randomly censored data: Predicting conversion time to Alzheimer 's disease. - Seong J. Yang; Hyejin Shin; Sang Han Lee; Seokho Lee; Alzheimer's Disease Neuroimaging Initiative (Comput. Stat. Data Anal., 2020)

Least squares projection twin support vector clustering (LSPTSVC). - Bharat Richhariya; Muhammad Tanveer 001; Alzheimer's Disease Neuroimaging Initiative (Inf. Sci., 2020)

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. - Telma Pereira; Sandra Cardoso; Manuela Guerreiro; Alexandre de Mendonça; Sara C. Madeira; Alzheimer's Disease Neuroimaging Initiative (J. Biomed. Informatics, 2020)

Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling. - Anup Tuladhar; Sascha Gill; Zahinoor Ismail; Nils D. Forkert; Alzheimer's Disease Neuroimaging Initiative (J. Biomed. Informatics, 2020)

Estimation of connectional brain templates using selective multi-view network normalization. - Salma Dhifallah; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2020)

Cortical surface registration using unsupervised learning. - Jieyu Cheng; Adrian V. Dalca; Bruce Fischl; Lilla Zöllei; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2020)

Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data. - Clément Abi Nader; Nicholas Ayache; Philippe Robert; Marco Lorenzi; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2020)

Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression. - Marco Palma; Shahin Tavakoli; Julia Brettschneider; Thomas E. Nichols; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2020)

Protein-protein interactions in neurodegenerative diseases: A conspiracy theory. - Travis B. Thompson; Pavanjit Chaggar; Ellen Kuhl; Alain Goriely; Alzheimer's Disease Neuroimaging Initiative (PLoS Comput. Biol., 2020)

Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks. - Nicolas Georges; Islem Mhiri; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Pattern Recognit., 2020)

Using ProtoPNet for Interpretable Alzheimer's Disease Classification. - Sanaz Mohammadjafari; Mucahit Cevik; Mathusan Thanabalasingam; Ayse Basar; Alzheimer's Disease Neuroimaging Initiative (Canadian AI, 2021)

Fuzzy least squares projection twin support vector machines for class imbalance learning. - M. A. Ganaie 001; Muhammad Tanveer 001; Alzheimer's Disease Neuroimaging Initiative (Appl. Soft Comput., 2021)

3D shearlet-based descriptors combined with deep features for the classification of Alzheimer's disease based on MRI data. - Sadiq Al-Insaif; Jochen Lang 001; Alzheimer's Disease Neuroimaging Initiative (Comput. Biol. Medicine, 2021)

A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease. - Samaneh Abolpour Mofrad; Arvid Lundervold; Alexander Selvikvåg Lundervold; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2021)

Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability. - Carmen Jimenez-Mesa; Javier Ramírez 001; John Suckling; Jonathan Vöglein; Johannes Levin; Juan Manuel Górriz; Alzheimer's Disease Neuroimaging Initiative; Dominantly Inherited Alzheimer Network (DIAN) (CoRR, 2021)

Testing conditional mean through regression model sequence using Yanai's generalized coefficient of determination. - Masao Ueki; Alzheimer's Disease Neuroimaging Initiative (Comput. Stat. Data Anal., 2021)

A novel method for the classification of Alzheimer's disease from normal controls using magnetic resonance imaging. - Riyaj Uddin Khan; Mohammad Tanveer 001; Ram Bilas Pachori; Alzheimer's Disease Neuroimaging Initiative (Expert Syst. J. Knowl. Eng., 2021)

Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot. - Sukrit Gupta; Yi Hao Chan; Jagath C. Rajapakse; Alzheimer's Disease Neuroimaging Initiative (Neurocomputing, 2021)

Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses. - Katia Maria Poloni; Italo Antonio Duarte de Oliveira; Roger C. Tam; Ricardo José Ferrari; Alzheimer's Disease Neuroimaging Initiative (Neurocomputing, 2021)

Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis. - Lei Du 001; Jin Zhang 023; Fang Liu; Huiai Wang; Lei Guo 002; Junwei Han 001; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2021)

Learning to synthesise the ageing brain without longitudinal data. - Tian Xia; Agisilaos Chartsias; Chengjia Wang; Sotirios A. Tsaftaris; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2021)

Bloch modelling enables robust T2 mapping using retrospective proton density and T2-weighted images from different vendors and sites. - Gitanjali Chhetri; Kelly C. McPhee; Alan H. Wilman; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2021)

Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain. - Sara Garbarino; Marco Lorenzi; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2021)

Deep recurrent model for individualized prediction of Alzheimer's disease progression. - Wonsik Jung; Eunji Jun; Heung-Il Suk; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2021)

Translating amyloid PET of different radiotracers by a deep generative model for interchangeability. - Seung Kwan Kang; Hongyoon Choi; Jae Sung Lee; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2021)

A unified framework for personalized regions selection and functional relation modeling for early MCI identification. - Jiyeon Lee; Wonjun Ko; Eunsong Kang; Heung-Il Suk; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2021)

Permutation-based inference for spatially localized signals in longitudinal MRI data. - Jun Young Park; Mark Fiecas; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2021)

Fast mesh data augmentation via Chebyshev polynomial of spectral filtering. - Shih-Gu Huang; Moo K. Chung; Anqi Qiu; Alzheimer's Disease Neuroimaging Initiative (Neural Networks, 2021)

Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities. - Marzia Antonella Scelsi; Valerio Napolioni; Michael D. Greicius; André Altmann; Alzheimer's Disease Neuroimaging Initiative; Alzheimer's Disease Sequencing Project (PLoS Comput. Biol., 2021)

Combined Atlas and Convolutional Neural Network-Based Segmentation of the Hippocampus from MRI According to the ADNI Harmonized Protocol. - Samaneh Nobakht; Morgan Schaeffer; Nils D. Forkert; Sean M. Nestor; Sandra E. Black; Philip A. Barber; Alzheimer's Disease Neuroimaging Initiative (Sensors, 2021)

Classifying Alzheimer's Disease using MRIs and Transcriptomic Data. - Lucia Maddalena 001; Ilaria Granata; Maurizio Giordano; Mario Manzo; Mario Rosario Guarracino; Alzheimer's Disease Neuroimaging Initiative (BIOIMAGING, 2022)

Bias correction for multiple covariate analysis using empirical bayesian estimation in mixed-effects models for longitudinal data. - Yi Li; Yaning Yang; Xu Steven Xu; Min Yuan; Alzheimer's Disease Neuroimaging Initiative (Comput. Biol. Chem., 2022)

Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image. - Jinwang Feng; ShaoWu Zhang 001; Luonan Chen; Chunman Zuo; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2022)

Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease. - Ghazal Mirabnahrazam; Da Ma; Sieun Lee; Karteek Popuri; Hyunwoo Lee 007; Jiguo Cao; Lei Wang; James E. Galvin; Mirza Faisal Beg; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2022)

Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis. - Ghazal Mirabnahrazam; Da Ma; Cédric Beaulac; Sieun Lee; Karteek Popuri; Hyunwoo Lee 007; Jiguo Cao; James E. Galvin; Lei Wang; Mirza Faisal Beg; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2022)

A deep ensemble hippocampal CNN model for brain age estimation applied to Alzheimer's diagnosis. - Katia Maria Poloni; Ricardo José Ferrari; Alzheimer's Disease Neuroimaging Initiative (Expert Syst. Appl., 2022)

KNN weighted reduced universum twin SVM for class imbalance learning. - M. A. Ganaie 001; Mohammad Tanveer 001; Alzheimer's Disease Neuroimaging Initiative (Knowl. Based Syst., 2022)

Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis. - Jiazhou Chen; Hongmin Cai; Defu Yang; Martin Styner; Guorong Wu 001; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2022)

Predicting brain structural network using functional connectivity. - Lu Zhang 050; Li Wang 033; Dajiang Zhu; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2022)

Development and evaluation of a high resolution 0.5mm isotropic T1-weighted template of the older adult brain. - Mohammad Rakeen Niaz; Abdur Raquib Ridwan; Yingjuan Wu; Alzheimer's Disease Neuroimaging Initiative; David A. Bennett; Konstantinos Arfanakis (NeuroImage, 2022)

DAFT: A universal module to interweave tabular data and 3D images in CNNs. - Tom Nuno Wolf; Sebastian Pölsterl; Christian Wachinger; Alzheimer's Disease Neuroimaging Initiative; Australian Imaging Biomarkers Lifestyle flagship study of ageing (NeuroImage, 2022)

Development of high quality T1-weighted and diffusion tensor templates of the older adult brain in a common space. - Yingjuan Wu; Abdur Raquib Ridwan; Mohammad Rakeen Niaz; Xiaoxiao Qi; Shengwei Zhang; Alzheimer's Disease Neuroimaging Initiative; David A. Bennett; Konstantinos Arfanakis (NeuroImage, 2022)

Quantifying the reproducibility of graph neural networks using multigraph data representation. - Ahmed Nebli; Mohammed Amine Gharsallaoui; Zeynep Gürler; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Neural Networks, 2022)

A Multi-Modality Approach to Medical Case Retrieval for Alzheimer's Disease. - Katarina Trojachanec Dineva; Ivan Kitanovski; Ivica Dimitrovski; Suzana Loshkovska; Alzheimer's Disease Neuroimaging Initiative (HEALTHINF, 2023)

Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease. - Vien Ngoc Dang; Adrià Casamitjana; Martijn P. A. Starmans; Carlos Martín-Isla; Jerónimo Hernández-González; Karim Lekadir; Alzheimer's Disease Neuroimaging Initiative (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Classification of cognitively normal controls, mild cognitive impairment and Alzheimer's disease using transfer learning approach. - V. P. Subramanyam Rallabandi; Krishnamoorthy Seetharaman; Alzheimer's Disease Neuroimaging Initiative (Biomed. Signal Process. Control., 2023)

Template-based graph registration network for boosting the diagnosis of brain connectivity disorders. - Zeynep Gürler; Mohammed Amine Gharsallaoui; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2023)

Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models. - Umang Gupta; Tamoghna Chattopadhyay; Nikhil J. Dhinagar; Paul M. Thompson; Greg Ver Steeg; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2023)

Universum twin support vector machine with truncated pinball loss. - Anuradha Kumari; M. Tanveer 001; Alzheimer's Disease Neuroimaging Initiative (Eng. Appl. Artif. Intell., 2023)

Alzheimer's disease classification based on graph kernel SVMs constructed with 3D texture features extracted from MR images. - Lucas José Cruz de Mendonça; Ricardo José Ferrari; Alzheimer's Disease Neuroimaging Initiative (Expert Syst. Appl., 2023)

Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis. - Zhi Chen 014; Yongguo Liu; Yun Zhang 019; Qiaoqin Li; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2023)

Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks. - Oytun Demirbilek; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2023)

Monte Carlo Ensemble Neural Network for the diagnosis of Alzheimer's disease. - Chaoqiang Liu; Fei Huang; Anqi Qiu; Alzheimer's Disease Neuroimaging Initiative (Neural Networks, 2023)

A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification. - Lan Lin; Min Xiong; Ge Zhang; Wenjie Kang; Shen Sun; Shuicai Wu; Alzheimer's Disease Neuroimaging Initiative (Sensors, 2023)

MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer's disease progression modelling. - Gerard Martí-Juan; Marco Lorenzi; Gemma Piella; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2023)

Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. - Xiaoke Hao; Qihao Tan; Yingchun Guo; Yunjia Xiao; Ming Yu 006; Meiling Wang 001; Jing Qin 001; Daoqiang Zhang; Alzheimer's Disease Neuroimaging Initiative (IEEE Trans. Biomed. Eng., 2023)

The Objective Dementia Severity Scale Based on MRI with Contrastive Learning: A Whole Brain Neuroimaging Perspective. - Yike Zhang; Wenliang Fan; Xi Chen 002; Wei Li 086; Alzheimer's Disease Neuroimaging Initiative (Sensors, 2023)

SUVR quantification using attention-based 3D CNN with longitudinal Florbetapir PET images in Alzheimer's disease. - R. Divya; R. Shantha Selva Kumari; Alzheimer's Disease Neuroimaging Initiative (Biomed. Signal Process. Control., 2023)

Enhanced brain efficiency network by integrating the new causality with fMRI and its application for Alzheimer's Disease study. - Bocheng Wang; Alzheimer's Disease Neuroimaging Initiative (Biomed. Signal Process. Control., 2023)

Graph neural network based unsupervised influential sample selection for brain multigraph population fusion. - Mert Can Kurucu; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2023)

Mitigating Overdiagnosis Bias in CNN-Based Alzheimer's Disease Diagnosis for the Elderly. - Vien Ngoc Dang; Adrià Casamitjana; Jerónimo Hernández-González; Karim Lekadir; Alzheimer's Disease Neuroimaging Initiative (FAIMI/EPIMI@MICCAI, 2024)

Privacy Protection in MRI Scans Using 3D Masked Autoencoders. - Lennart Alexander Van der Goten; Kevin Smith 001; Alzheimer's Disease Neuroimaging Initiative (MICCAI (7), 2024)

TA-RNN: an Attention-based Time-aware Recurrent Neural Network Architecture for Electronic Health Records. - Mohammad Al Olaimat; Serdar Bozdag; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2024)

IGCN: Integrative Graph Convolutional Networks for Multi-modal Data. - Cagri Ozdemir; Mohammad Al Olaimat; Yashu Vashishath; Serdar Bozdag; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2024)

Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. - Michael E. Kim; Chenyu Gao; Karthik Ramadass; Praitayini Kanakaraj; Nancy R. Newlin; Gaurav Rudravaram; Kurt G. Schilling; Blake E. Dewey; David A. Bennett; Sid OBryant; Robert C. Barber; Derek B. Archer; et al. (CoRR, 2024)

Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. - Ben Philps; Maria del C. Valdés Hernández; Chen Qin; Una Clancy; Eleni Sakka; Susana Muñoz Maniega; Mark E. Bastin; Angela C. C. Jochems; Joanna M. Wardlaw; Miguel O. Bernabeu; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2024)

BASE: Brain Age Standardized Evaluation. - Lara Dular; Ziga Spiclin; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2024)

Data-driven stochastic model for quantifying the interplay between amyloid-beta and calcium levels in Alzheimer's disease. - Hina Shaheen; Roderick Melnik; Sundeep Singh; Alzheimer's Disease Neuroimaging Initiative (Stat. Anal. Data Min., 2024)

Predicting the Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using an Explainable AI Approach. - Gerasimos Grammenos; Aristidis G. Vrahatis; Panagiotis Vlamos; Dean Palejev; Themis P. Exarchos; Alzheimer's Disease Neuroimaging Initiative (Inf., 2024)

A novel approach to enhance feature selection using linearity assessment with ordinary least squares regression for Alzheimer's Disease stage classification. - Besma Mabrouk; Nadia Bouattour; Noura Mabrouki; Lamia Sellami; Ahmed Ben Hamida; Alzheimer's Disease Neuroimaging Initiative (Multim. Tools Appl., 2024)