Alzheimer's Disease Neuroimaging Initiative

123 papers Journal 116Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality Imputation. CoRR Rong Zhou, Houliang Zhou, Yao Su, Brian Y. Chen, Yu Zhang, Lifang He, Alzheimer's Disease Neuroimaging Initiative
2026	J	`jnl`	Mutual learning for joint disease detection and severity prediction reveals multimodal pathogenesis for neurodegenerative disorders. Bioinform. Jin Zhang, Yixin Ji, Jinhua Liu, Wenrui Cui, Xiaohui Yao, Hongdong Li, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative
2026	J	`jnl`	Robust-ComBat: Mitigating Outlier Effects in Diffusion MRI Data Harmonization. CoRR Yoan David, Pierre-Marc Jodoin, Alzheimer's Disease Neuroimaging Initiative, The TRACK-TBI Investigators
2025	J	`jnl`	IGCN: integrative graph convolution networks for patient level insights and biomarker discovery in multi-omics integration. Bioinform. Cagri Ozdemir, Yashu Vashishath, Serdar Bozdag, Alzheimer's Disease Neuroimaging Initiative
2025	J	`jnl`	Trustworthy causal biomarker discovery: a multiomics brain imaging genetics-based approach. Bioinform. Jin Zhang, Yan Yang, Muheng Shang, Lei Guo, Daoqiang Zhang, Lei Du, Alzheimer's Disease Neuroimaging Initiative
2025	J	`jnl`	Uncovering Alzheimer's Disease Progression via SDE-based Spatio-Temporal Graph Deep Learning on Longitudinal Brain Networks. CoRR Houliang Zhou, Rong Zhou, Yangying Liu, Kanhao Zhao, Li Shen, Brian Y. Chen, Yu Zhang, Lifang He, Alzheimer's Disease Neuroimaging Initiative
2024	J	`jnl`	A novel approach to enhance feature selection using linearity assessment with ordinary least squares regression for Alzheimer's Disease stage classification. Multim. Tools Appl. Besma Mabrouk, Nadia Bouattour, Noura Mabrouki, Lamia Sellami, Ahmed Ben Hamida, Alzheimer's Disease Neuroimaging Initiative
2024	J	`jnl`	BASE: Brain Age Standardized Evaluation. NeuroImage Lara Dular, Ziga Spiclin, Alzheimer's Disease Neuroimaging Initiative
2024	J	`jnl`	Data-driven stochastic model for quantifying the interplay between amyloid-beta and calcium levels in Alzheimer's disease. Stat. Anal. Data Min. Hina Shaheen, Roderick Melnik, Sundeep Singh, Alzheimer's Disease Neuroimaging Initiative
2024	J	`jnl`	IGCN: Integrative Graph Convolutional Networks for Multi-modal Data. CoRR Cagri Ozdemir, Mohammad Al Olaimat, Yashu Vashishath, Serdar Bozdag, Alzheimer's Disease Neuroimaging Initiative
2024	—	`conf`	Mitigating Overdiagnosis Bias in CNN-Based Alzheimer's Disease Diagnosis for the Elderly. FAIMI/EPIMI@MICCAI Vien Ngoc Dang, Adrià Casamitjana, Jerónimo Hernández-González, Karim Lekadir, Alzheimer's Disease Neuroimaging Initiative
2024	J	`jnl`	Predicting the Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using an Explainable AI Approach. Inf. Gerasimos Grammenos, Aristidis G. Vrahatis, Panagiotis Vlamos, Dean Palejev, Themis P. Exarchos, Alzheimer's Disease Neuroimaging Initiative
2024	—	`conf`	Privacy Protection in MRI Scans Using 3D Masked Autoencoders. MICCAI (7) Lennart Alexander Van der Goten, Kevin Smith, Alzheimer's Disease Neuroimaging Initiative
2024	J	`jnl`	Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. CoRR 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, Timothy J. Hohman, Shunxing Bao, Zhiyuan Li, Bennett A. Landman, Nazirah Mohd Khairi, Alzheimer's Disease Neuroimaging Initiative, HABSHD Study Team
2024	J	`jnl`	TA-RNN: an Attention-based Time-aware Recurrent Neural Network Architecture for Electronic Health Records. CoRR Mohammad Al Olaimat, Serdar Bozdag, Alzheimer's Disease Neuroimaging Initiative
2024	J	`jnl`	Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. CoRR 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
2023	J	`jnl`	A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification. Sensors Lan Lin, Min Xiong, Ge Zhang, Wenjie Kang, Shen Sun, Shuicai Wu, Alzheimer's Disease Neuroimaging Initiative
2023	—	`conf`	A Multi-Modality Approach to Medical Case Retrieval for Alzheimer's Disease. HEALTHINF Katarina Trojachanec Dineva, Ivan Kitanovski, Ivica Dimitrovski, Suzana Loshkovska, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	Alzheimer's disease classification based on graph kernel SVMs constructed with 3D texture features extracted from MR images. Expert Syst. Appl. Lucas José Cruz de Mendonça, Ricardo José Ferrari, Alzheimer's Disease Neuroimaging Initiative
2023	—	`conf`	Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease. CLIP/FAIMI/EPIMI@MICCAI Vien Ngoc Dang, Adrià Casamitjana, Martijn P. A. Starmans, Carlos Martín-Isla, Jerónimo Hernández-González, Karim Lekadir, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	Classification of cognitively normal controls, mild cognitive impairment and Alzheimer's disease using transfer learning approach. Biomed. Signal Process. Control. V. P. Subramanyam Rallabandi, Krishnamoorthy Seetharaman, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	Enhanced brain efficiency network by integrating the new causality with fMRI and its application for Alzheimer's Disease study. Biomed. Signal Process. Control. Bocheng Wang, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	Graph neural network based unsupervised influential sample selection for brain multigraph population fusion. Comput. Medical Imaging Graph. Mert Can Kurucu, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. IEEE Trans. Biomed. Eng. Xiaoke Hao, Qihao Tan, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Jing Qin, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer's disease progression modelling. NeuroImage Gerard Martí-Juan, Marco Lorenzi, Gemma Piella, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	Monte Carlo Ensemble Neural Network for the diagnosis of Alzheimer's disease. Neural Networks Chaoqiang Liu, Fei Huang, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis. Medical Image Anal. Zhi Chen, Yongguo Liu, Yun Zhang, Qiaoqin Li, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks. Medical Image Anal. Oytun Demirbilek, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	SUVR quantification using attention-based 3D CNN with longitudinal Florbetapir PET images in Alzheimer's disease. Biomed. Signal Process. Control. R. Divya, R. Shantha Selva Kumari, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	Template-based graph registration network for boosting the diagnosis of brain connectivity disorders. Comput. Medical Imaging Graph. Zeynep Gürler, Mohammed Amine Gharsallaoui, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	The Objective Dementia Severity Scale Based on MRI with Contrastive Learning: A Whole Brain Neuroimaging Perspective. Sensors Yike Zhang, Wenliang Fan, Xi Chen, Wei Li, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models. CoRR Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson, Greg Ver Steeg, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	Universum twin support vector machine with truncated pinball loss. Eng. Appl. Artif. Intell. Anuradha Kumari, M. Tanveer, Alzheimer's Disease Neuroimaging Initiative
2022	J	`jnl`	A deep ensemble hippocampal CNN model for brain age estimation applied to Alzheimer's diagnosis. Expert Syst. Appl. Katia Maria Poloni, Ricardo José Ferrari, Alzheimer's Disease Neuroimaging Initiative
2022	J	`jnl`	Bias correction for multiple covariate analysis using empirical bayesian estimation in mixed-effects models for longitudinal data. Comput. Biol. Chem. Yi Li, Yaning Yang, Xu Steven Xu, Min Yuan, Alzheimer's Disease Neuroimaging Initiative
2022	J	`jnl`	Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis. Medical Image Anal. Jiazhou Chen, Hongmin Cai, Defu Yang, Martin Styner, Guorong Wu, Alzheimer's Disease Neuroimaging Initiative
2022	—	`conf`	Classifying Alzheimer's Disease using MRIs and Transcriptomic Data. BIOIMAGING Lucia Maddalena, Ilaria Granata, Maurizio Giordano, Mario Manzo, Mario Rosario Guarracino, Alzheimer's Disease Neuroimaging Initiative
2022	J	`jnl`	DAFT: A universal module to interweave tabular data and 3D images in CNNs. NeuroImage Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative, Australian Imaging Biomarkers Lifestyle flagship study of ageing
2022	J	`jnl`	Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image. Comput. Medical Imaging Graph. Jinwang Feng, Shaowu Zhang, Luonan Chen, Chunman Zuo, Alzheimer's Disease Neuroimaging Initiative
2022	J	`jnl`	Development and evaluation of a high resolution 0.5mm isotropic T1-weighted template of the older adult brain. NeuroImage Mohammad Rakeen Niaz, Abdur Raquib Ridwan, Yingjuan Wu, Alzheimer's Disease Neuroimaging Initiative, David A. Bennett, Konstantinos Arfanakis
2022	J	`jnl`	Development of high quality T NeuroImage Yingjuan Wu, Abdur Raquib Ridwan, Mohammad Rakeen Niaz, Xiaoxiao Qi, Shengwei Zhang, Alzheimer's Disease Neuroimaging Initiative, David A. Bennett, Konstantinos Arfanakis
2022	J	`jnl`	KNN weighted reduced universum twin SVM for class imbalance learning. Knowl. Based Syst. M. A. Ganaie, Mohammad Tanveer, Alzheimer's Disease Neuroimaging Initiative
2022	J	`jnl`	Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease. CoRR Ghazal Mirabnahrazam, Da Ma, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, Lei Wang, James E. Galvin, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative
2022	J	`jnl`	Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis. CoRR Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E. Galvin, Lei Wang, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative
2022	J	`jnl`	Predicting brain structural network using functional connectivity. Medical Image Anal. Lu Zhang, Li Wang, Dajiang Zhu, Alzheimer's Disease Neuroimaging Initiative
2022	J	`jnl`	Quantifying the reproducibility of graph neural networks using multigraph data representation. Neural Networks Ahmed Nebli, Mohammed Amine Gharsallaoui, Zeynep Gürler, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	3D shearlet-based descriptors combined with deep features for the classification of Alzheimer's disease based on MRI data. Comput. Biol. Medicine Sadiq Al-Insaif, Jochen Lang, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	A novel method for the classification of Alzheimer's disease from normal controls using magnetic resonance imaging. Expert Syst. J. Knowl. Eng. Riyaj Uddin Khan, Mohammad Tanveer, Ram Bilas Pachori, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease. Comput. Medical Imaging Graph. Samaneh Abolpour Mofrad, Arvid Lundervold, Alexander Selvikvåg Lundervold, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	A unified framework for personalized regions selection and functional relation modeling for early MCI identification. NeuroImage Jiyeon Lee, Wonjun Ko, Eunsong Kang, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Bloch modelling enables robust T2 mapping using retrospective proton density and T2-weighted images from different vendors and sites. NeuroImage Gitanjali Chhetri, Kelly C. McPhee, Alan H. Wilman, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses. Neurocomputing Katia Maria Poloni, Italo Antonio Duarte de Oliveira, Roger C. Tam, Ricardo José Ferrari, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Combined Atlas and Convolutional Neural Network-Based Segmentation of the Hippocampus from MRI According to the ADNI Harmonized Protocol. Sensors Samaneh Nobakht, Morgan Schaeffer, Nils D. Forkert, Sean M. Nestor, Sandra E. Black, Philip A. Barber, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability. CoRR Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz, Alzheimer's Disease Neuroimaging Initiative, Dominantly Inherited Alzheimer Network (DIAN)
2021	J	`jnl`	Deep recurrent model for individualized prediction of Alzheimer's disease progression. NeuroImage Wonsik Jung, Eunji Jun, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Fast mesh data augmentation via Chebyshev polynomial of spectral filtering. Neural Networks Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Fuzzy least squares projection twin support vector machines for class imbalance learning. Appl. Soft Comput. M. A. Ganaie, Muhammad Tanveer, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis. Medical Image Anal. Lei Du, Jin Zhang, Fang Liu, Huiai Wang, Lei Guo, Junwei Han, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain. NeuroImage Sara Garbarino, Marco Lorenzi, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Learning to synthesise the ageing brain without longitudinal data. Medical Image Anal. Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities. PLoS Comput. Biol. Marzia Antonella Scelsi, Valerio Napolioni, Michael D. Greicius, André Altmann, Alzheimer's Disease Neuroimaging Initiative, Alzheimer's Disease Sequencing Project
2021	J	`jnl`	Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot. Neurocomputing Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Permutation-based inference for spatially localized signals in longitudinal MRI data. NeuroImage Jun Young Park, Mark Fiecas, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Testing conditional mean through regression model sequence using Yanai's generalized coefficient of determination. Comput. Stat. Data Anal. Masao Ueki, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Translating amyloid PET of different radiotracers by a deep generative model for interchangeability. NeuroImage Seung Kwan Kang, Hongyoon Choi, Jae Sung Lee, Alzheimer's Disease Neuroimaging Initiative
2021	—	`conf`	Using ProtoPNet for Interpretable Alzheimer's Disease Classification. Canadian AI Sanaz Mohammadjafari, Mucahit Cevik, Mathusan Thanabalasingam, Ayse Basar, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Bayesian GWAS with Structured and Non-Local Priors. Bioinform. Adam Kaplan, Eric F. Lock, Mark Fiecas, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling. J. Biomed. Informatics Anup Tuladhar, Sascha Gill, Zahinoor Ismail, Nils D. Forkert, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Cortical surface registration using unsupervised learning. NeuroImage Jieyu Cheng, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE). Biomed. Signal Process. Control. Bharat Richhariya, Muhammad Tanveer, Ashraf Haroon Rashid, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Estimation of connectional brain templates using selective multi-view network normalization. Medical Image Anal. Salma Dhifallah, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Functional linear regression model with randomly censored data: Predicting conversion time to Alzheimer 's disease. Comput. Stat. Data Anal. Seong J. Yang, Hyejin Shin, Sang Han Lee, Seokho Lee, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis. CoRR Hoo-Chang Shin, Alvin Ihsani, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI. CoRR Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier. Artif. Intell. Medicine Jinwang Feng, Shao-Wu Zhang, Luonan Chen, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks. Pattern Recognit. Nicolas Georges, Islem Mhiri, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Least squares projection twin support vector clustering (LSPTSVC). Inf. Sci. Bharat Richhariya, Muhammad Tanveer, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data. NeuroImage Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Protein-protein interactions in neurodegenerative diseases: A conspiracy theory. PLoS Comput. Biol. Travis B. Thompson, Pavanjit Chaggar, Ellen Kuhl, Alain Goriely, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression. NeuroImage Marco Palma, Shahin Tavakoli, Julia Brettschneider, Thomas E. Nichols, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering. CoRR Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	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 Telma Pereira, Sandra Cardoso, Manuela Guerreiro, Alexandre de Mendonça, Sara C. Madeira, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion. CoRR Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	Benchmarking machine learning models for late-onset alzheimer's disease prediction from genomic data. BMC Bioinform. Javier De Velasco Oriol, Edgar E. Vallejo-Clemente, Karol Estrada, José Gerardo Tamez-Peña, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	Communicability disruption in Alzheimer's disease connectivity networks. J. Complex Networks Eufemia Lella, Nicola Amoroso, Angela Lombardi, Tommaso Maggipinto, Sabina Tangaro, Roberto Bellotti, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	Identifying Glucose Metabolism Decreased Brain Regions by Independent Component Analysis and Statistical Parametric Mapping to Understand the Aging Processing. J. Medical Imaging Health Informatics Zhan Gao, Juan Huang, Xiaxia Chen, Feifei Dong, Hui Li, Ling Shang, Xun Jiang, Ling Wei, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	Incorporating spatial-anatomical similarity into the VGWAS framework for AD biomarker detection. Bioinform. Meiyan Huang, Yuwei Yu, Wei Yang, Qianjin Feng, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	Multi-modal latent factor exploration of atrophy, cognitive and tau heterogeneity in Alzheimer's disease. NeuroImage Nanbo Sun, Elizabeth C. Mormino, Jianzhong Chen, Mert R. Sabuncu, B. T. Thomas Yeo, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	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. Yubraj Gupta, Ramesh Kumar Lama, Goo-Rak Kwon, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. NeuroImage Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	RNN-based longitudinal analysis for diagnosis of Alzheimer's disease. Comput. Medical Imaging Graph. Ruoxuan Cui, Manhua Liu, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	Texture descriptors and voxels for the early diagnosis of Alzheimer's disease. Artif. Intell. Medicine Loris Nanni, Sheryl Brahnam, Christian Salvatore, Isabella Castiglioni, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	Toward an interpretable Alzheimer's disease diagnostic model with regional abnormality representation via deep learning. NeuroImage Eunho Lee, Jun-Sik Choi, Minjeong Kim, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	A comparison of publicly available linear MRI stereotaxic registration techniques. NeuroImage Mahsa Dadar, Vladimir S. Fonov, D. Louis Collins, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	A longitudinal model for functional connectivity networks using resting-state fMRI. NeuroImage Brian Hart, Ivor Cribben, Mark Fiecas, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Adaptive fusion of texture-based grading for Alzheimer's disease classification. Comput. Medical Imaging Graph. Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks. Comput. Medical Imaging Graph. Fan Li, Manhua Liu, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Analysis of ordinal longitudinal data under nonignorable missingness and misreporting: An application to Alzheimer's disease study. J. Multivar. Anal. Subrata Rana, Surupa Roy, Kalyan Das, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Classification of Alzheimer's Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images. Frontiers Neuroinformatics Manhua Liu, Danni Cheng, Weiwu Yan, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Classification of Alzheimer's and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET. Int. J. Biomed. Imaging Seyed Hossein Nozadi, Samuel Kadoury, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling. CoRR Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Integrating spatial-anatomical regularization and structure sparsity into SVM: Improving interpretation of Alzheimer's disease classification. NeuroImage Zhuo Sun, Yuchuan Qiao, Boudewijn P. F. Lelieveldt, Marius Staring, Alzheimer's Disease Neuroimaging Initiative
2018	—	`conf`	Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia. MICCAI (3) Can Gafuroglu, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Learning non-linear patch embeddings with neural networks for label fusion. Medical Image Anal. 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
2018	J	`jnl`	Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data. PLoS Comput. Biol. Nikhil Bhagwat, Joseph D. Viviano, Aristotle N. Voineskos, M. Mallar Chakravarty, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Multimodal imaging-based therapeutic fingerprints for optimizing personalized interventions: Application to neurodegeneration. NeuroImage Yasser Iturria-Medina, Felix Carbonell, Alan C. Evans, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Neural Dynamics during Resting State: A Functional Magnetic Resonance Imaging Exploration with Reduction and Visualization. Complex. Wei Li, Miao Wang, Wen Wen, Yue Huang, Xi Chen, Wenliang Fan, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks. CoRR Arjun Punjabi, Adam Martersteck, Yanran Wang, Todd B. Parrish, Aggelos K. Katsaggelos, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Predicting conversion from MCI to AD by integrating rs-fMRI and structural MRI. Comput. Biol. Medicine Seyed Hani Hojjati, Ata Ebrahimzadeh, Ali Khazaee, Abbas Babajani-Feremi, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. CoRR 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
2018	J	`jnl`	SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data. NeuroImage Leo Yu-Feng Liu, Yufeng Liu, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study. BMC Medical Imaging Michael Osadebey, Marius Pedersen, Douglas L. Arnold, Katrina Wendel-Mitoraj, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	The EADC-ADNI harmonized protocol for hippocampal segmentation: A validation study. NeuroImage Azar Zandifar, Vladimir S. Fonov, Jens C. Pruessner, D. Louis Collins, Alzheimer's Disease Neuroimaging Initiative
2017	J	`jnl`	Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning. Frontiers Comput. Neurosci. Qing Li, Xia Wu, Lele Xu, Kewei Chen, Li Yao, Alzheimer's Disease Neuroimaging Initiative
2017	J	`jnl`	Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease. Frontiers Neuroinformatics Jorge Munilla, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Alzheimer's Disease Neuroimaging Initiative
2017	J	`jnl`	FGWAS: Functional genome wide association analysis. NeuroImage 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
2017	J	`jnl`	Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging. NeuroImage 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
2017	J	`jnl`	Predictive modelling using neuroimaging data in the presence of confounds. NeuroImage Anil Rao, João M. Monteiro, Janaina Mourão Miranda, Alzheimer's Disease Neuroimaging Initiative
2010	J	`jnl`	Voxelwise genome-wide association study (vGWAS). NeuroImage 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
2009	J	`jnl`	Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition. NeuroImage 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
2009	J	`jnl`	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 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
2009	J	`jnl`	Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer's Disease Neuroimaging Initiative (ADNI). NeuroImage 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
2008	J	`jnl`	Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline. NeuroImage Yong Fan, Nematollah Batmanghelich, Christopher M. Clark, Christos Davatzikos, Alzheimer's Disease Neuroimaging Initiative