% alzhub.org topic: deep
% Source: https://alzhub.org/topic/deep
% 205 entries, in the order the page lists them. Built from alzhub.org's own records.
% 0 entries have no readable author in the source record and carry no author field.

@article{aslay2026-05365979,
  author  = {Aslay, C. and Gispert, J. D. and Villoslada, P. and {Alzheimer's Disease Neuroimaging Initiative}},
  title   = {{Tau-CTFP: A connectome-informed continuous-time first-passage model for forecasting the onset of regional tau PET abnormality}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.10.26.761855},
  url     = {https://doi.org/10.64898/2026.10.26.761855}
}

@article{razzetta2026-539ba847,
  author  = {Razzetta, C. and Garbarino, S.},
  title   = {{A Wasserstein Weisfeiler-Lehman Kernel Framework for Multimodal Brain Connectome Analysis}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-11266269/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-11266269/v1}
}

@article{wang2026-51eea5af,
  author  = {Wang, H. and Pichet Binette, A. and Sainath, P. and Farrugia, N. and Villeneuve, S. and Bellec, L.},
  title   = {{Current gaps in downstream applications of fMRI foundation models: lessons learned from BrainLM \& BrainHarmonix on Prevent-AD}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.10.22.26366227},
  url     = {https://doi.org/10.64898/2026.10.22.26366227}
}

@article{yao2026-d17fad06,
  author  = {Yao, N. and Wang, Z. and Sun, D. and Han, C. and Li, Y. and Nan, J. and Zhu, F. and Zhao, C. and others},
  title   = {{MVMGNN: Multi-View Masked Graph Neural Network for Alzheimer’s Disease Diagnosis using Structural MRI}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-11185794/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-11185794/v1}
}

@article{yu2026-3df0a36b,
  author  = {Yu, L. and Meng, M. and Gao, Y. and Xi, X.},
  title   = {{A Dual-Stream Spatio-Temporal Network with Bidirectional Rectification for Differential Diagnosis of Dementia using EEG}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10724309/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10724309/v1}
}

@article{radwan2026-18f8f9a3,
  author  = {Radwan, M. and Lind, P. G. and Yazidi, A.},
  title   = {{Frequency-Resolved Connectivity Graphs for EEG-Based Classification of Alzheimer and Frontotemporal Dementia}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.10.16.759776},
  url     = {https://doi.org/10.64898/2026.10.16.759776}
}

@article{salah2026-0e313e69,
  author  = {Salah, R.},
  title   = {{Speaker-Wise Dementia Screening fromNaturalistic Speech with Lexical Entropy, Semantic Drift, and Multimodal Fusion}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-9795204/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-9795204/v1}
}

@article{antonova2026-e8cd5270,
  author  = {Antonova, D. and Gurenko, S. and Pegova, M. and Ustinova, A. and Shteynberg, G. and Chukanov, V. and Pchitskaya, E.},
  title   = {{SpineTool 2.0: A Deep Learning Platform with an Interactive User Interface for Dendritic Spine Segmentation and Morphological Analysis}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10996498/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10996498/v1}
}

@article{pan2026-47a5412b,
  author  = {Pan, A. and Zhai, T. and Lee, J. and Zheng, C. and Kim, D. and Shen, L.},
  title   = {{Integrating Multisource Target Evidence with Machine-Learning Potency Prediction for Alzheimer’s Disease Drug Discovery}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.10.14.759026},
  url     = {https://doi.org/10.64898/2026.10.14.759026}
}

@article{roudbari2026-1847beeb,
  author  = {Roudbari, A. and Van Hentenryck, P. and Zandehshahvar, R.},
  title   = {{Interpretable Phenotype Discovery Using Temporal Risk-Aware Clustering}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.10.18.26365169},
  url     = {https://doi.org/10.64898/2026.10.18.26365169}
}

@article{joshi2026-495ba8c6,
  author  = {Joshi, G.},
  title   = {{Predictive EEG Signatures of Alzheimer's Disease: A Cross-Validated, Cross-Method Analysis Using ANCOVA Filtering and Sparse Logistic Regression}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-11390599/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-11390599/v1}
}

@article{chattopadhyay2026-90e2d34e,
  author  = {Chattopadhyay, T. and Shelar, K. and Thomopoulos, S. I. and Thompson, P. M.},
  title   = {{Understanding Performance Plateaus and Representation Collapse in 3D MRI Transformers Trained to Classify Brain Disease}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.10.15.759510},
  url     = {https://doi.org/10.64898/2026.10.15.759510}
}

@article{huang2026-e8078740,
  author  = {Huang, H. and Chen, L. and Chen, J. and Hyun, J. and Loftus, J. and Melmed, K. and Orringer, D. and Frontera, J. and others},
  title   = {{Neuro-JEPA: Building and Evaluating Health-System Scale Neuroimaging Foundation Models with Mixture of Experts}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-11130462/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-11130462/v1}
}

@article{suganya2026-3d051a9b,
  author  = {Suganya, S. and Prasath, A. R.},
  title   = {{PaliGemX: An Interpretable Multimodal Transformer for Early Alzheimer’s Detection}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-11122884/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-11122884/v1}
}

@article{rojaspescio2026-f194ed38,
  author  = {Rojas-Pescio, H.},
  title   = {{Information-Theoretic Geometry HCFIM features for data-limited EEG screening of Alzheimer’s disease and Frontotemporal Dementia}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10834216/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10834216/v1}
}

@article{bunterngchit2026-e6cbac35,
  author  = {Bunterngchit, C. and Baniata, L. H. and Baniata, M. H. and Atwan, J. M. and Alali, M. and Alsharaiah, M. A. and Kang, S.},
  title   = {{Interpretable Frequency-Aware Deep Learning for Multi-Class EEG Classification of Neurological Disorders}},
  journal = {Preprints.org},
  year    = {2026},
  doi     = {10.20944/preprints202610.1078.v1},
  url     = {https://doi.org/10.20944/preprints202610.1078.v1}
}

@article{liu2026-a13aaacf,
  author  = {Liu, H. and Tong, M. and Fang, S. and Mormino, E. C. and Sperling, R. A. and Aisen, P. and Buckley, R. F. and Crane, P. K. and others},
  title   = {{Continuous amyloid staging complements global amyloid burden in early Alzheimer’s disease}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.10.03.756367},
  url     = {https://doi.org/10.64898/2026.10.03.756367}
}

@article{radwan2026-cccc408d,
  author  = {Radwan, M. and Lind, P. G. and Yazidi, A.},
  title   = {{EEG Pathology Detection via Clinical Concept Bottleneck Models}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.10.04.756607},
  url     = {https://doi.org/10.64898/2026.10.04.756607}
}

@article{yew2026-df21eecc,
  author  = {Yew, P. Y. and El Khalifa, R. A. and Adam, T. J. and Shieu, B. and Xie, F. and McCarthy, T. and Tonellato, P. J. and Chi, N. and others},
  title   = {{Identifying Individualized Multiple Chronic Condition Pathways Associated with Dementia}},
  journal = {Preprints.org},
  year    = {2026},
  doi     = {10.20944/preprints202610.0963.v1},
  url     = {https://doi.org/10.20944/preprints202610.0963.v1}
}

@article{vilella2026-6ddf0c22,
  author  = {Vilella, D. and Tafuri, B. and Urso, D. and Rollo, E. and Giannoni-Luza, S. and Gigli, G. and Tartaglione, B. and Logroscino, G.},
  title   = {{A Machine Learning-Based Framework for differential screening of Neurodegenerative Dementias using routine clinical data}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10815316/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10815316/v1}
}

@article{gautier2026-b033970d,
  author  = {Gautier, A. and Zheng, L. and Schreurs, B. G.},
  title   = {{Forecasting Alzheimer’s disease progression using non-imaging clinical features and XGBoost}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.10.05.26364229},
  url     = {https://doi.org/10.64898/2026.10.05.26364229}
}

@article{chen2026-e5794f8d,
  author  = {Chen, Y. and Boon, B. D. and Engelberg-Cook, E. and Zhu, L. and Rothberg, D. and Rozemuller, A. and Grinberg, L. T. and Ushizima, D.},
  title   = {{Generalizing Amyloid β Pathology from Postmortem Human Brains with Vision Foundation Models for Lesion Quantification}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.10.05.26364184},
  url     = {https://doi.org/10.64898/2026.10.05.26364184}
}

@article{sailer2026-b5a66a6c,
  author  = {Sailer, B. and Roeben, B. and Kiefer, C. and Achauer, L. and Kemmner, R. and Wurster, I. and Lerche, S. and Bender, B. and others},
  title   = {{Explainable machine learning identifies predictors for postural instability and cognitive impairment in early Parkinson’s Disease}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.09.30.26364120},
  url     = {https://doi.org/10.64898/2026.09.30.26364120}
}

@article{hillman2026-35cc200a,
  author  = {Hillman, N. and Chen, A. A. and Hu, F. and Vandekar, S. N. and Melhem, R. and Beason-Held, L. L. and Satterthwaite, T. D. and Davatzikos, C. and others},
  title   = {{Imputation-Based Harmonization Mitigates Site Effects Without Data Leakage in Machine Learning Studies}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.09.28.755204},
  url     = {https://doi.org/10.64898/2026.09.28.755204}
}

@article{hassan2026-c9f84faf,
  author  = {Hassan, H. and Patel, D. and Aagela, H. and Johnson, A.},
  title   = {{An explainable multimodal framework for exploring depression-associated speech representations in Alzheimer’s disease}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.09.29.26364278},
  url     = {https://doi.org/10.64898/2026.09.29.26364278}
}

@article{farzana2026-758053b6,
  author  = {Farzana, S. and Arian, A. and Desvarieux3, Moïse and Rundek, Tatjana Rundek4 and Ahsan, H.},
  title   = {{Evaluating Patient Representation Strategies for Early Prediction of Alzheimer’s Disease and Related Dementias from Longitudinal EHRs}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10988118/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10988118/v1}
}

@article{tang2026-a1525cf3,
  author  = {Tang, S. and Younes, K. and Penukonda, E. and Hausle, I. and Thropp, P. and Lupo, J. M. and Tosun, D. and {the Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{Examining the Clinical Utility of Deep Learning Models for Perivascular Space Segmentation in Alzheimer’s Disease}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.09.27.26363725},
  url     = {https://doi.org/10.64898/2026.09.27.26363725}
}

@article{khliq2026-88ea4149,
  author  = {Khliq, M. and Barat, C.},
  title   = {{AT(N)-Anchored Multimodal Deep Learning for Alzheimer’s Staging: A Taxonomy and Continuous Burden Index for Low-Resource Settings}},
  journal = {Preprints.org},
  year    = {2026},
  doi     = {10.20944/preprints202609.2240.v1},
  url     = {https://doi.org/10.20944/preprints202609.2240.v1}
}

@article{karvelis2026-d7c8a83d,
  author  = {Karvelis, P. and Felsky, D. and Abi-Dargham, A. and Horga, G. and Andreea, A.},
  title   = {{Evaluating biomarkers and prediction models: predictive utility analysis with E2P Simulator}},
  journal = {PsyArXiv},
  year    = {2026},
  doi     = {10.31234/osf.io/atn5m_v3},
  url     = {https://doi.org/10.31234/osf.io/atn5m_v3}
}

@article{tao2026-eaf460ca,
  author  = {Tao, J. and Caggiano, C. C.},
  title   = {{Artificial Intelligence for Alzheimer’s Disease Detection Across Neuroimaging and Speech: A Reproducible Cross-Modal Secondary Analysis}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-11106125/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-11106125/v1}
}

@article{smith2026-132c6603,
  author  = {Smith, P. J. and Richardson, H. W. and Robertson, K. A. and Dibble, A. J. and Dalby, C. and Svanera, M.},
  title   = {{Diagnostic Labels and Measurement Timing Drive Systematic Inconsistency in ADNI Neuroimaging Data}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.09.16.752036},
  url     = {https://doi.org/10.64898/2026.09.16.752036}
}

@article{im2026-36cb393a,
  author  = {Im, Y. and Kang, M. J. and Gutman, B. A. and Thomopoulos, S. I. and Thompson, P. M. and Ching, C. R. and {the Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.09.15.751847},
  url     = {https://doi.org/10.64898/2026.09.15.751847}
}

@article{arafat2026-cd543ea2,
  author  = {Arafat, F.},
  title   = {{A Multimodal Mathematical and Computational Framework for Personalized Medication-Adherence and Cognitive-Risk Modeling in Alzheimer's Disease}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-11042021/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-11042021/v1}
}

@article{pasha2026-30f16a55,
  author  = {Pasha, S. M. M. and Sohag, SR. and Ghanem, H.},
  title   = {{MedBackdoorGuard: Detecting and Mitigating Backdoor Attacks in Deep Learning Models for MRI-Based Alzheimer's Disease and Mild Cognitive Impairment Diagnosis}},
  journal = {Preprints.org},
  year    = {2026},
  doi     = {10.20944/preprints202609.1729.v1},
  url     = {https://doi.org/10.20944/preprints202609.1729.v1}
}

@article{ahmadi2026-5d93c013,
  author  = {Ahmadi, F. and Bidabad, B.},
  title   = {{Hippocampal surface analysis using discrete Ricci flow and Riemannian metrics for the diagnosis of Alzheimer's disease}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10382441/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10382441/v1}
}

@article{tong2026-20e069b5,
  author  = {Tong, M. and Gao, T. and Upadhyaya, Y. and Nho, K. and Fang, S. and Saykin, A. and Yan, J. and {Alzheimer's Disease Neuroimaging Initiative}},
  title   = {{Divergent amyloid trajectories distinguish normal aging from Alzheimer's disease progression}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.09.08.748727},
  url     = {https://doi.org/10.64898/2026.09.08.748727}
}

@article{neufang2026-b007979c,
  author  = {Neufang, S. and Akhrif, A. and Beyan, O. D. and {Initiative N}},
  title   = {{Gender bias in the diagnosis of Alzheimer's Disease}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10738736/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10738736/v1}
}

@article{k2026-9d27135c,
  author  = {k, ajroudi and Khedher, M. I. and o, Jemai},
  title   = {{nterpretable Alzheimer’s Disease Detection from CHAT Transcripts Using Criterion-Guided LLM Prompting and In-Context Learning}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10559912/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10559912/v1}
}

@article{rahman2026-5ac9e37c,
  author  = {Rahman, M. H. and Hasan, M. J. and Hossain, M. S. and Ovi, M. S. I.},
  title   = {{How Reliable and Explainable Are Machine Learning Models for Dementia Detection? A Leakage-Aware Evaluation}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10967756/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10967756/v1}
}

@article{mourya2026-e7a2d6b7,
  author  = {Mourya, S. K. and Yadav, A. K. S.},
  title   = {{A 2-Level Stacking Ensemble Framework for Multi-Class Alzheimer’s Disease Diagnosis Using CNN Feature Extractors and SVM-XGBoost Classifiers}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10843182/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10843182/v1}
}

@article{he2026-3709d406,
  author  = {He, Z. and Park, J. and Pulgrossi, R. C. and Lee, J. and Butler, R. R. and Weber, A. and Tian, L. and Zhang, X. and others},
  title   = {{Unlocking Sensitive Data with SPHERE in the Age of AI}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.09.01.748580},
  url     = {https://doi.org/10.64898/2026.09.01.748580}
}

@article{li2026-67079121,
  author  = {Li, Y. and Pan, Y. and Liu, Y. and He, L. and Sun, Q. and Zhang, S. and Zhang, W. and Luz, S. and others},
  title   = {{Alzheimer's Disease Detection via Large Pre-Trained Speech and Language Models: Taxonomy, Progress, and Open Challenges}},
  journal = {PsyArXiv},
  year    = {2026},
  doi     = {10.31234/osf.io/s57tz_v2},
  url     = {https://doi.org/10.31234/osf.io/s57tz_v2}
}

@article{ewing2026-e30eb38b,
  author  = {Ewing, M. A.},
  title   = {{AI on Alzheimer Disease: Large-Scale Reproduction Shows the Field’s Hypotheses Cannot Be Distinguished on Common Data}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10282922/v2},
  url     = {https://doi.org/10.21203/rs.3.rs-10282922/v2}
}

@article{ewing2026-38225c61,
  author  = {Ewing, M. A.},
  title   = {{Intelligence Breaks the System It Controls}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10283184/v2},
  url     = {https://doi.org/10.21203/rs.3.rs-10283184/v2}
}

@article{lepcha2026-b6193857,
  author  = {Lepcha, D. C. and Ali, A. and Martin, S. A. and Syed Abdul, S.},
  title   = {{Biomarker fidelity score: A quantitative framework for individual-level validation of explainability methods in 3D Alzheimer’s disease MRI classification}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.08.15.744687},
  url     = {https://doi.org/10.64898/2026.08.15.744687}
}

@article{zerrouki2026-2417b906,
  author  = {Zerrouki, H. and Azzaz-Rahmani, S.},
  title   = {{Multimodal Transformer-Based Fusion of Blood-Based and Digital Biomarkers for Explainable (XAI) Ultra-Early Alzheimer's Disease Detection}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10462750/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10462750/v1}
}

@article{mao2026-044d1e6b,
  author  = {Mao, Y. and Lin, J. and Zhou, A. and Zeng, S. and Yang, D. and Lin, W. and Wen, J. and Yang, W. and others},
  title   = {{A Deep Learning-Derived Insulin Resistance Index for Cardiovascular Risk Prediction: A Prospective Cohort Study with External Validation in Chinese and US Populations}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.08.10.26360145},
  url     = {https://doi.org/10.64898/2026.08.10.26360145}
}

@article{deepika2026-ae3097e3,
  author  = {Deepika, P. and Sunkari, S. and Upadhyayula, S. K. and {the Alzheimer’s Disease Neuroimaging Initiative} and Sundaresan, V.},
  title   = {{A Biologically Constrained Continuous-Time Framework for Long-Horizon Cognition Forecasting in Alzheimer’s Disease}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.08.07.26359964},
  url     = {https://doi.org/10.64898/2026.08.07.26359964}
}

@article{fallah2026-96a58ec7,
  author  = {Fallah, S. and Herzog, N. J.},
  title   = {{Conditional Latent Diffusion for Synthetic Brain MRI in Alzheimer’s Disease: A Preprocessing-Focused Pipeline}},
  journal = {Preprints.org},
  year    = {2026},
  doi     = {10.20944/preprints202608.0508.v1},
  url     = {https://doi.org/10.20944/preprints202608.0508.v1}
}

@article{devatha2026-f7db6824,
  author  = {Devatha, D. and Xiao, J.},
  title   = {{Predicting Cognitive Function Using Transformer-Derived Speech Representations and Longitudinal Coherence Features}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.08.04.26359730},
  url     = {https://doi.org/10.64898/2026.08.04.26359730}
}

@article{filiz2026-984b6c78,
  author  = {Filiz, T. T. and Fominykh, V. and Persson, K. and Michelet, M. and Broce, I. J. and Medbøen, I. T. and Aam, S. and Shadrin, A. and others},
  title   = {{An Integrative Multimodal Model for Early Diagnosis of Dementia and Differential Diagnosis of Alzheimer’s Disease Using Neuroimaging, Polygenic Risk, and Cognitive Assessments}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.07.31.26359317},
  url     = {https://doi.org/10.64898/2026.07.31.26359317}
}

@article{zandi2026-3ce20113,
  author  = {Zandi, E. and Bell, S. A. and Turkheimer, E. and Finkel, D. G. and Becker, J. and Davis, D. W. and Beam, C. R.},
  title   = {{Consensus Risk Modeling and Uncertainty Quantification of Alzheimer’s Disease Using 5ADCSI Plasma Biomarkers and Multiple External Machine-Learning Frameworks}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.07.30.26359341},
  url     = {https://doi.org/10.64898/2026.07.30.26359341}
}

@article{espero2026-ef7df3b7,
  author  = {Espero, M. J.},
  title   = {{Heterogeneity in Multimodal AI Feature Engineering Utility for Explaining Change in Dementia}},
  journal = {PsyArXiv},
  year    = {2026},
  doi     = {10.31234/osf.io/s58bj_v1},
  url     = {https://doi.org/10.31234/osf.io/s58bj_v1}
}

@article{jin2026-49dffc8e,
  author  = {Jin, Z. and Zhu, Z. and Chen, B. and Xu, H. and Inglis, S. and Hutchens, J. and Sun, J. and Chen, F. and others},
  title   = {{Artificial Intelligence in Alzheimer’s Disease: Evidence Maturity and Clinical Translation Across the Care Pathway}},
  journal = {Preprints.org},
  year    = {2026},
  doi     = {10.20944/preprints202607.2192.v1},
  url     = {https://doi.org/10.20944/preprints202607.2192.v1}
}

@article{vr2026-aaf3e626,
  author  = {Vr, Addepalli and Rao, P. and Lee, K.},
  title   = {{Edge-Based ADL Recognition Using Room-Specialized Mixture-of-Experts}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.07.24.26357042},
  url     = {https://doi.org/10.64898/2026.07.24.26357042}
}

@article{park2026-7d2b87bc,
  author  = {Park¹, E. J. and Kim, E. and Kim, D. H. and Kim, N. Y.},
  title   = {{Multi-Domain Machine Learning of VR-synchronised directional EEG phase connectivity reveals candidate Alzheimer's continuum biomarkers}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-9925123/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-9925123/v1}
}

@article{javid2026-9d8b8fd7,
  author  = {Javid, S. and Nir, T. M. and Zhu, A. H. and Bhatt, R. R. and Aksman, L. M. and Jahanshad, N. and {Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{FastEBM: Fast, Scalable, and Uncertainty-Aware Event-Based Disease Progression Modeling}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.07.18.739221},
  url     = {https://doi.org/10.64898/2026.07.18.739221}
}

@article{tan2026-3b7537e3,
  author  = {Tan, Y. S. and Lew, S. L.},
  title   = {{Predictive Models for Cognitive Decline Assessment}},
  journal = {F1000Res},
  year    = {2026},
  doi     = {10.12688/f1000research.185879.1},
  url     = {https://doi.org/10.12688/f1000research.185879.1}
}

@article{wang2026-2685207b,
  author  = {Wang, Y. and Cheng, C. and Chou, C. and Liu, Y. and Chang, Y.},
  title   = {{Detecting Alzheimer’s Disease through Chinese Speech: A Contrast of Manual and Automatic Linguistic Feature Extraction}},
  journal = {PsyArXiv},
  year    = {2026},
  doi     = {10.31234/osf.io/wqvbf_v1},
  url     = {https://doi.org/10.31234/osf.io/wqvbf_v1}
}

@article{matsumoto2026-cd287502,
  author  = {Matsumoto, N. and Choi, H. and Freda, P. J. and Hernandez, M. E. and Wang, Z. P. and Moore, J. H.},
  title   = {{EcoXAI: Autonomous Agentic Ecosystem for Explainable Artificial Intelligence and Biomedical Discovery}},
  journal = {bioRxiv},
  year    = {2026},
  doi     = {10.64898/2026.07.08.737358},
  url     = {https://doi.org/10.64898/2026.07.08.737358}
}

@article{yan2026-5ca208fc,
  author  = {Yan, Z. and Li, H. and Huang, Z. and Zhou, M. and Wang, W. and Jiang, S. and Zhang, M. and Martinez-Nunez, E. and others},
  title   = {{Early Prediction of Parkinson’s Disease Progression by Integrating Research Cohort and Real-World Data Using Knowledge-Anchored Graph Learning}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.07.07.26357483},
  url     = {https://doi.org/10.64898/2026.07.07.26357483}
}

@article{alkam2026-f2aa2744,
  author  = {Alkam, T. and Tarshizi, E. and Van Benschoten, A. H.},
  title   = {{Nonlinear Association of Length of Stay With In-Hospital Mortality in Alzheimer’s Disease Hospitalizations: Admission-Only vs Inpatient-Course Prediction Using Explainable Machine Learning}},
  journal = {Preprints.org},
  year    = {2026},
  doi     = {10.20944/preprints202607.0470.v1},
  url     = {https://doi.org/10.20944/preprints202607.0470.v1}
}

@article{gel2026-87340723,
  author  = {Gel, A. and Phillips, E. and Hausle, I. and Thropp, P. and Tosun, D. and {Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{MCH-Guard: Multimodal Machine Learning Framework for Risk Stratification of Cerebral Microhemorrhage Risk in the Alzheimer’s Disease Neuroimaging Initiative}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.06.18.26355972},
  url     = {https://doi.org/10.64898/2026.06.18.26355972}
}

@article{low2026-23d6501e,
  author  = {Low, Z. X. B. and Rowsthorn, E. and Nazem-Zadeh, M. and Francis, M. and Robb, C. and Whiriskey, R. and Howcroft, M. and Brodtmann, A. and others},
  title   = {{Automated quantification of cerebral microbleeds for ARIA-H monitoring in Aging and Alzheimer’s Disease: A multicenter deep learning validation}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.05.19.26353364},
  url     = {https://doi.org/10.64898/2026.05.19.26353364}
}

@article{dedebant2026-f682c193,
  author  = {Dedebant, E. and Even, M. and Törnqvist, M. and Hauw, F. and Fauvel, T. and Geoffroy, C.},
  title   = {{Treatment Effects of Cholinesterase Inhibitors in Alzheimer’s Disease: a Causal Machine Learning Approach}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.02.11.26346078},
  url     = {https://doi.org/10.64898/2026.02.11.26346078}
}

@article{dadgostar2026-7e9f0fc0,
  author  = {Dadgostar, M. and Hanford, L. C. and Tavakoli, M. and Arnold, S. E. and Salat, D. H. and Sitnikova, T. and Webb, P. K. and Green, JR. and others},
  title   = {{Detecting Preclinical Alzheimer’s Disease Risk in Cognitively Normal Adults Using Speech Acoustics: Validation with Plasma p-Tau217 and APOE-ε4 Status}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.01.15.26344226},
  url     = {https://doi.org/10.64898/2026.01.15.26344226}
}

@article{chea2026-2e7985ea,
  author  = {Chea, E. F.},
  title   = {{ATN Classification and Machine-Learned Plasma Biomarker Phenotypes Reveal Distinct Alzheimer’s Pathology in a Population-Based Cohort}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.01.02.26343331},
  url     = {https://doi.org/10.64898/2026.01.02.26343331}
}

@article{addepalli2026-9c774836,
  author  = {Addepalli, V. R. and Abdalnabi, N. and Kummerfeld, E. and Hembroff, G. and Kiselica, A. and Rao, P. and Lee, K.},
  title   = {{Small-Sized Reasoning Language Models for Linguistic Screening of Alzheimer’s Disease}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2025.12.24.25342972},
  url     = {https://doi.org/10.64898/2025.12.24.25342972}
}

@article{adaszewski2025-8771179b,
  author  = {Adaszewski, S. and Schindler, T.},
  title   = {{Large Language Model-Driven Prioritization of Alzheimer’s Disease Drug Targets Across Multidimensional Criteria}},
  journal = {medRxiv},
  year    = {2025},
  doi     = {10.64898/2025.12.28.25343106},
  url     = {https://doi.org/10.64898/2025.12.28.25343106}
}

@article{cheng2025-b01fb94a,
  author  = {Cheng, Y. and Medina, A. and Korponay, C. and Beckmann, C. F. and Harper, D. and Nickerson, L. and {the Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{Investigating the Amyloid-Tau-Neurodegeneration Framework in Alzheimer’s Disease Using Semi-Supervised Multimodal Imaging Data Fusion}},
  journal = {medRxiv},
  year    = {2025},
  doi     = {10.64898/2025.12.11.25341830},
  url     = {https://doi.org/10.64898/2025.12.11.25341830}
}

@article{park2025-41068341,
  author  = {Park, Ingyu and Lee, Sang-Kyu and Choi, Hui-Chul and Ahn, Moo-Eob and Ryu, Ohk-Hyun and Park, Yong Soon and Kim, Dong-Kyu and Lee, Unjoo and others},
  title   = {{Machine learning-based estimation of the mild cognitive impairment stage using multimodal physical and behavioral measures}},
  journal = {Scientific reports},
  year    = {2025},
  doi     = {10.1038/s41598-025-19364-1},
  pmid    = {41068341},
  url     = {https://doi.org/10.1038/s41598-025-19364-1}
}

@article{chen2025-40822978,
  author  = {Chen, Yanxi and Su, Yi and Dumitrascu, Celine and Chen, Kewei and Weidman, David and Caselli, Richard J and Ashton, Nicholas and Reiman, Eric M and others},
  title   = {{PLASMA-CYCLEGAN: PLASMA BIOMARKER-GUIDED MRI TO PET CROSS-MODALITY TRANSLATION USING CONDITIONAL CYCLEGAN}},
  journal = {Proceedings. IEEE International Symposium on Biomedical Imaging},
  year    = {2025},
  doi     = {10.1109/isbi60581.2025.10980900},
  pmid    = {40822978},
  url     = {https://doi.org/10.1109/isbi60581.2025.10980900}
}

@article{fereshtehnejad2025-39968562,
  author  = {Fereshtehnejad, Seyed-Mohammad and Keshavjee, Karim and Zavar, Abbas},
  title   = {{Personalized Multi-Domain Digital Platform for Dementia Prevention}},
  journal = {Studies in health technology and informatics},
  year    = {2025},
  doi     = {10.3233/shti250030},
  pmid    = {39968562},
  url     = {https://doi.org/10.3233/shti250030}
}

@article{karlsson2025-39985487,
  author  = {Karlsson, Linda and Vogel, Jacob and Arvidsson, Ida and Åström, Kalle and Strandberg, Olof and Seidlitz, Jakob and Bethlehem, Richard A I and Stomrud, Erik and others},
  title   = {{Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data}},
  journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
  year    = {2025},
  doi     = {10.1002/alz.14600},
  pmid    = {39985487},
  url     = {https://doi.org/10.1002/alz.14600}
}

@article{heydari2025-39789117,
  author  = {Heydari, Kimia and Enichen, Elizabeth J and Wang, Serena and Nickel, Grace C and Kvedar, Joseph C},
  title   = {{A novel model for retinal imaging in the diagnosis of Alzheimer's disease}},
  journal = {NPJ digital medicine},
  year    = {2025},
  doi     = {10.1038/s41746-025-01437-0},
  pmid    = {39789117},
  url     = {https://doi.org/10.1038/s41746-025-01437-0}
}

@article{aljuhani2024-39682713,
  author  = {Aljuhani, M. and Ashraf, A. and Edison, P.},
  title   = {{Use of Artificial Intelligence in Imaging Dementia}},
  journal = {Cells},
  year    = {2024},
  doi     = {10.3390/cells13231965},
  pmid    = {39682713},
  url     = {https://doi.org/10.3390/cells13231965}
}

@article{hao2024-39428420,
  author  = {Hao, Jinkui and Kwapong, William R and Shen, Ting and Fu, Huazhu and Xu, Yanwu and Lu, Qinkang and Liu, Shouyue and Zhang, Jiong and others},
  title   = {{Early detection of dementia through retinal imaging and trustworthy AI}},
  journal = {NPJ digital medicine},
  year    = {2024},
  doi     = {10.1038/s41746-024-01292-5},
  pmid    = {39428420},
  url     = {https://doi.org/10.1038/s41746-024-01292-5}
}

@article{alarjani2024-39650470,
  author  = {Alarjani, Maitha and Almarri, Badar},
  title   = {{fMRI-based Alzheimer's disease detection via functional connectivity analysis: a systematic review}},
  journal = {PeerJ. Computer science},
  year    = {2024},
  doi     = {10.7717/peerj-cs.2302},
  pmid    = {39650470},
  url     = {https://doi.org/10.7717/peerj-cs.2302}
}

@article{dumitrascu2024-39748801,
  author  = {Dumitrascu, Oana M and Li, Xin and Zhu, Wenhui and Woodruff, Bryan K and Nikolova, Simona and Sobczak, Jacob and Youssef, Amal and Saxena, Siddhant and others},
  title   = {{Color Fundus Photography and Deep Learning Applications in Alzheimer Disease}},
  journal = {Mayo Clinic proceedings. Digital health},
  year    = {2024},
  doi     = {10.1016/j.mcpdig.2024.08.005},
  pmid    = {39748801},
  url     = {https://doi.org/10.1016/j.mcpdig.2024.08.005}
}

@article{oyama2024-39206296,
  author  = {Oyama, Katsunori and Isogai, Toshiki and Nakayama, Yohei and Kobayashi, Ryoki and Kitano, Daisuke and Karako, Kenji and Sakatani, Kaoru},
  title   = {{Enhancing dementia risk screening with GAN-synthesized periodontal examination and general blood test data}},
  journal = {Frontiers in neurology},
  year    = {2024},
  doi     = {10.3389/fneur.2024.1379916},
  pmid    = {39206296},
  url     = {https://doi.org/10.3389/fneur.2024.1379916}
}

@article{choi2024-41059393,
  author  = {Choi, Yoon Seong and Ngam, Pei Ing and Lee, Jeong Ryong and Hwang, Dosik and Tan, Eng-King and {Harvard Aging Brain Study} and {Australian Imaging Biomarkers and Lifestyle Study of Aging} and {Japanese Alzheimer’s Disease Neuroimaging Initiative} and others},
  title   = {{Deep learning-based amyloid PET harmonization to predict cognitive decline in non-demented elderly}},
  journal = {Radiology advances},
  year    = {2024},
  doi     = {10.1093/radadv/umae019},
  pmid    = {41059393},
  url     = {https://doi.org/10.1093/radadv/umae019}
}

@article{richardson2024-39136960,
  author  = {Richardson, Alexander and Kundu, Anita and Henao, Ricardo and Lee, Terry and Scott, Burton L and Grewal, Dilraj S and Fekrat, Sharon},
  title   = {{Multimodal Retinal Imaging Classification for Parkinson's Disease Using a Convolutional Neural Network}},
  journal = {Translational vision science \& technology},
  year    = {2024},
  doi     = {10.1167/tvst.13.8.23},
  pmid    = {39136960},
  url     = {https://doi.org/10.1167/tvst.13.8.23}
}

@article{leem2024-40040194,
  author  = {Leem, Seowung and Yang, Yunchao and Woods, Adam J and Fang, Ruogu},
  title   = {{Deep Learning Analysis of Retinal Structures and Risk Factors of Alzheimer's Disease}},
  journal = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference},
  year    = {2024},
  doi     = {10.1109/embc53108.2024.10782580},
  pmid    = {40040194},
  url     = {https://doi.org/10.1109/embc53108.2024.10782580}
}

@article{duan2024-38740448,
  author  = {Duan, Sixuan and Cai, Tianyu and Liu, Fuyuan and Li, Yifan and Yuan, Hang and Yuan, Wenwen and Huang, Kaizhu and Hoettges, Kai and others},
  title   = {{Automatic offline-capable smartphone paper-based microfluidic device for efficient biomarker detection of Alzheimer's disease}},
  journal = {Analytica chimica acta},
  year    = {2024},
  doi     = {10.1016/j.aca.2024.342575},
  pmid    = {38740448},
  url     = {https://doi.org/10.1016/j.aca.2024.342575}
}

@article{vimbi2024-38578524,
  author  = {Vimbi, V. and Shaffi, N. and Mahmud, M.},
  title   = {{Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection}},
  journal = {Brain informatics},
  year    = {2024},
  doi     = {10.1186/s40708-024-00222-1},
  pmid    = {38578524},
  url     = {https://doi.org/10.1186/s40708-024-00222-1}
}

@article{yousefzadeh2024-38565579,
  author  = {Yousefzadeh, Nooshin and Tran, Charlie and Ramirez-Zamora, Adolfo and Chen, Jinghua and Fang, Ruogu and Thai, My T},
  title   = {{Neuron-level explainable AI for Alzheimer's Disease assessment from fundus images}},
  journal = {Scientific reports},
  year    = {2024},
  doi     = {10.1038/s41598-024-58121-8},
  pmid    = {38565579},
  url     = {https://doi.org/10.1038/s41598-024-58121-8}
}

@article{jain2024-38160285,
  author  = {Jain, Ayush and Charpignon, Marie-Laure and Chen, Irene Y and Philippakis, Anthony and Alaa, Ahmed},
  title   = {{Generating new drug repurposing hypotheses using disease-specific hypergraphs}},
  journal = {Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing},
  year    = {2024},
  pmid    = {38160285}
}

@article{sakatani2024-39400834,
  author  = {Sakatani, Kaoru},
  title   = {{Relationship Between Dementia and Systemic Metabolic Disorders}},
  journal = {Advances in experimental medicine and biology},
  year    = {2024},
  doi     = {10.1007/978-3-031-67458-7_44},
  pmid    = {39400834},
  url     = {https://doi.org/10.1007/978-3-031-67458-7_44}
}

@article{schafer2024-38427201,
  author  = {Schäfer, Simona and Herrmann, Janna and Tovar, Sol and Linz, Nicklas and Tröger, Johannes},
  title   = {{Speech-Based Digital Biomarkers for Alzheimer's Research}},
  journal = {Methods in molecular biology (Clifton, N.J.)},
  year    = {2024},
  doi     = {10.1007/978-1-0716-3774-6_18},
  pmid    = {38427201},
  url     = {https://doi.org/10.1007/978-1-0716-3774-6_18}
}

@article{oh2023-38057571,
  author  = {Oh, H. S. and Rutledge, J. and Nachun, D. and Pálovics, R. and Abiose, O. and Moran-Losada, P. and Channappa, D. and Urey, D. Y. and others},
  title   = {{Organ aging signatures in the plasma proteome track health and disease}},
  journal = {Nature},
  year    = {2023},
  doi     = {10.1038/s41586-023-06802-1},
  pmid    = {38057571},
  url     = {https://doi.org/10.1038/s41586-023-06802-1}
}

@article{gende2023-37682646,
  author  = {Gende, Mateo and Mallen, Victor and de Moura, Joaquim and Cordon, Beatriz and Garcia-Martin, Elena and Sanchez, Clara I and Novo, Jorge and Ortega, Marcos},
  title   = {{Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios}},
  journal = {IEEE journal of biomedical and health informatics},
  year    = {2023},
  doi     = {10.1109/jbhi.2023.3313392},
  pmid    = {37682646},
  url     = {https://doi.org/10.1109/jbhi.2023.3313392}
}

@article{vivek2023-37926392,
  author  = {Vivek, Sithara and Faul, Jessica and Thyagarajan, Bharat and Guan, Weihua},
  title   = {{Explainable variational autoencoder (E-VAE) model using genome-wide SNPs to predict dementia}},
  journal = {Journal of biomedical informatics},
  year    = {2023},
  doi     = {10.1016/j.jbi.2023.104536},
  pmid    = {37926392},
  url     = {https://doi.org/10.1016/j.jbi.2023.104536}
}

@article{kelly2023-37821485,
  author  = {Kelly, Jack and Moyeed, Rana and Carroll, Camille and Luo, Shouqing and Li, Xinzhong},
  title   = {{Blood biomarker-based classification study for neurodegenerative diseases}},
  journal = {Scientific reports},
  year    = {2023},
  doi     = {10.1038/s41598-023-43956-4},
  pmid    = {37821485},
  url     = {https://doi.org/10.1038/s41598-023-43956-4}
}

@article{hasan2024-37674264,
  author  = {Hasan, Md Mahmudul and Phu, Jack and Sowmya, Arcot and Meijering, Erik and Kalloniatis, Michael},
  title   = {{Artificial intelligence in the diagnosis of glaucoma and neurodegenerative diseases}},
  journal = {Clinical \& experimental optometry},
  year    = {2024},
  doi     = {10.1080/08164622.2023.2235346},
  pmid    = {37674264},
  url     = {https://doi.org/10.1080/08164622.2023.2235346}
}

@article{mao2023-37429512,
  author  = {Mao, C. and Xu, J. and Rasmussen, L. and Li, Y. and Adekkanattu, P. and Pacheco, J. and Bonakdarpour, B. and Vassar, R. and others},
  title   = {{AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease}},
  journal = {Journal of biomedical informatics},
  year    = {2023},
  doi     = {10.1016/j.jbi.2023.104442},
  pmid    = {37429512},
  url     = {https://doi.org/10.1016/j.jbi.2023.104442}
}

@article{lin2023-37350918,
  author  = {Lin, K. H. and Hsieh, K. L. and Jiang, X. and Kim, Y.},
  title   = {{Integrating Comorbidity Knowledge for Alzheimer's Disease Drug Repurposing using Multi-task Graph Neural Network}},
  journal = {AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science},
  year    = {2023},
  doi     = {10.1101/2020.04.30.069690},
  pmid    = {37350918},
  url     = {https://doi.org/10.1101/2020.04.30.069690}
}

@article{iglesias2023-36724222,
  author  = {Iglesias, J. E. and Billot, B. and Balbastre, Y. and Magdamo, C. and Arnold, S. E. and Das, S. and Edlow, B. L. and Alexander, D. C. and others},
  title   = {{SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry}},
  journal = {Science advances},
  year    = {2023},
  doi     = {10.1126/sciadv.add3607},
  pmid    = {36724222},
  url     = {https://doi.org/10.1126/sciadv.add3607}
}

@article{ozkaraca2023-36836705,
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  title   = {{Multiple Brain Tumor Classification with Dense CNN Architecture Using Brain MRI Images}},
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  year    = {2023},
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@article{hui2023-37212112,
  author  = {Hui, Herbert Y H and Ran, An Ran and Dai, Jia Jia and Cheung, Carol Y},
  title   = {{Deep Reinforcement Learning-Based Retinal Imaging in Alzheimer's Disease: Potential and Perspectives}},
  journal = {Journal of Alzheimer's disease : JAD},
  year    = {2023},
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@article{hajjar2023-36777093,
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  title   = {{Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease}},
  journal = {Alzheimer's \& dementia (Amsterdam, Netherlands)},
  year    = {2023},
  doi     = {10.1002/dad2.12393},
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@article{study2023-d70e3f0a,
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  title   = {{DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals}},
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@article{ryu2022-36539779,
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@article{richardson2022-35916570,
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  title   = {{Artificial intelligence in dementia}},
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@article{cheung2022-36043139,
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  title   = {{Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementia}},
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@article{qiu2022-35725739,
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@article{zhu2022-35667639,
  author  = {Zhu, Xi and Liu, Yi and Habeck, Christian G and Stern, Yaakov and Lee, Seonjoo and {For-The-Alzheimer's-Disease-Neuroimaging-Initiative}},
  title   = {{Transfer learning for cognitive reserve quantification}},
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@article{zhu2022-35765655,
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  title   = {{Drug repositioning in drug discovery of T2DM and repositioning potential of antidiabetic agents}},
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@article{lee2022-37118071,
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  title   = {{Deep learning-based brain age prediction in normal aging and dementia}},
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@article{corbin2022-35388080,
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  title   = {{Deep residual inception encoder-decoder network for amyloid PET harmonization}},
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  year    = {2022},
  doi     = {10.1002/alz.12564},
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@article{jiang2022-35061824,
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@article{kumar2023-35039756,
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  title   = {{RETRACTED ARTICLE: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda}},
  journal = {Journal of ambient intelligence and humanized computing},
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}

@article{fang2022-35012639,
  author  = {Fang, Jiansong and Zhang, Pengyue and Wang, Quan and Chiang, Chien-Wei and Zhou, Yadi and Hou, Yuan and Xu, Jielin and Chen, Rui and others},
  title   = {{Artificial intelligence framework identifies candidate targets for drug repurposing in Alzheimer's disease}},
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  year    = {2022},
  doi     = {10.1186/s13195-021-00951-z},
  pmid    = {35012639},
  url     = {https://doi.org/10.1186/s13195-021-00951-z}
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@article{yamada2022-36155515,
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  title   = {{Characteristics of Drawing Process Differentiate Alzheimer's Disease and Dementia with Lewy Bodies}},
  journal = {Journal of Alzheimer's disease : JAD},
  year    = {2022},
  doi     = {10.3233/jad-220546},
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@article{chen2022-34904312,
  author  = {Chen, A. A. and Beer, J. C. and Tustison, N. J. and Cook, P. A. and Shinohara, R. T. and Shou, H. and {Alzheimer's Disease Neuroimaging Initiative}},
  title   = {{Mitigating site effects in covariance for machine learning in neuroimaging data}},
  journal = {Human brain mapping},
  year    = {2022},
  doi     = {10.1002/hbm.25688},
  pmid    = {34904312},
  url     = {https://doi.org/10.1002/hbm.25688}
}

@article{cai2021-34378011,
  author  = {Cai, Lijun and Lu, Changcheng and Xu, Junlin and Meng, Yajie and Wang, Peng and Fu, Xiangzheng and Zeng, Xiangxiang and Su, Yansen},
  title   = {{Drug repositioning based on the heterogeneous information fusion graph convolutional network}},
  journal = {Briefings in bioinformatics},
  year    = {2021},
  doi     = {10.1093/bib/bbab319},
  pmid    = {34378011},
  url     = {https://doi.org/10.1093/bib/bbab319}
}

@article{chen2021-34717542,
  author  = {Chen, Peng and Bao, Tianjiazhi and Yu, Xiaosheng and Liu, Zhongtu},
  title   = {{A drug repositioning algorithm based on a deep autoencoder and adaptive fusion}},
  journal = {BMC bioinformatics},
  year    = {2021},
  doi     = {10.1186/s12859-021-04406-y},
  pmid    = {34717542},
  url     = {https://doi.org/10.1186/s12859-021-04406-y}
}

@article{zhang2022-34706304,
  author  = {Zhang, Jiequan and Zhao, Qingyu and Adeli, Ehsan and Pfefferbaum, Adolf and Sullivan, Edith V and Paul, Robert and Valcour, Victor and Pohl, Kilian M},
  title   = {{Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment}},
  journal = {Medical image analysis},
  year    = {2022},
  doi     = {10.1016/j.media.2021.102246},
  pmid    = {34706304},
  url     = {https://doi.org/10.1016/j.media.2021.102246}
}

@article{urbina2021-34274565,
  author  = {Urbina, Fabio and Puhl, Ana C and Ekins, Sean},
  title   = {{Recent advances in drug repurposing using machine learning}},
  journal = {Current opinion in chemical biology},
  year    = {2021},
  doi     = {10.1016/j.cbpa.2021.06.001},
  pmid    = {34274565},
  url     = {https://doi.org/10.1016/j.cbpa.2021.06.001}
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@article{lin2021-33935634,
  author  = {Lin, W. and Chen, G. and Zhang, H. and Gao, Q. and Huang, Y. and Tong, T. and Du, M. and others},
  title   = {{Bidirectional Mapping of Brain MRI and PET With 3D Reversible GAN for the Diagnosis of Alzheimer's Disease}},
  journal = {Frontiers in neuroscience},
  year    = {2021},
  doi     = {10.3389/fnins.2021.646013},
  pmid    = {33935634},
  url     = {https://doi.org/10.3389/fnins.2021.646013}
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@article{geerts2021-80f66de5,
  author  = {Geerts, Hugo and van der Graaf, Piet},
  title   = {{Computational Approaches for Supporting Combination Therapy in the Post-Aducanumab Era in Alzheimer’s Disease}},
  journal = {Journal of Alzheimer's Disease Reports},
  year    = {2021},
  doi     = {10.3233/adr-210039},
  url     = {https://doi.org/10.3233/adr-210039}
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@article{chang2021-33803217,
  author  = {Chang, C. H. and Lin, C. H. and Lane, H. Y.},
  title   = {{Machine Learning and Novel Biomarkers for the Diagnosis of Alzheimer's Disease}},
  journal = {International journal of molecular sciences},
  year    = {2021},
  doi     = {10.3390/ijms22052761},
  pmid    = {33803217},
  url     = {https://doi.org/10.3390/ijms22052761}
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@article{roshanzamir2021-33750385,
  author  = {Roshanzamir, A. and Aghajan, H. and Soleymani Baghshah, M.},
  title   = {{Transformer-based deep neural network language models for Alzheimer's disease risk assessment from targeted speech}},
  journal = {BMC medical informatics and decision making},
  year    = {2021},
  doi     = {10.1186/s12911-021-01456-3},
  pmid    = {33750385},
  url     = {https://doi.org/10.1186/s12911-021-01456-3}
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@article{rodriguez2021-33589615,
  author  = {Rodriguez, S. and Hug, C. and Todorov, P. and Moret, N. and Boswell, S. A. and Evans, K. and Zhou, G. and Johnson, N. T. and others},
  title   = {{Machine learning identifies candidates for drug repurposing in Alzheimer's disease}},
  journal = {Nature communications},
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  pmid    = {33589615},
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@article{venugopalan2021-33547343,
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  title   = {{Multimodal deep learning models for early detection of Alzheimer's disease stage}},
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  year    = {2021},
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@article{luckett2021-33480178,
  author  = {Luckett, Patrick H and McCullough, Austin and Gordon, Brian A and Strain, Jeremy and Flores, Shaney and Dincer, Aylin and McCarthy, John and Kuffner, Todd and others},
  title   = {{Modeling autosomal dominant Alzheimer's disease with machine learning}},
  journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
  year    = {2021},
  doi     = {10.1002/alz.12259},
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  title   = {{DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Images}},
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  title   = {{Deep Convolutional Neural Networks and Transfer Learning for Measuring Cognitive Impairment Using Eye-Tracking in a Distributed Tablet-Based Environment}},
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  year    = {2021},
  doi     = {10.1109/tbme.2020.2990734},
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@article{sakatani2020-33381075,
  author  = {Sakatani, Kaoru and Oyama, Katsunori and Hu, Lizhen},
  title   = {{Deep Learning-Based Screening Test for Cognitive Impairment Using Basic Blood Test Data for Health Examination}},
  journal = {Frontiers in neurology},
  year    = {2020},
  doi     = {10.3389/fneur.2020.588140},
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@article{jo2020-33371874,
  author  = {Jo, Taeho and Nho, Kwangsik T. and Risacher, Shannon L. and Saykin, Andrew J. and {Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{Deep learning detection of informative features in tau PET for Alzheimer’s disease classification}},
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@article{wisely2022-33243829,
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  title   = {{Convolutional neural network to identify symptomatic Alzheimer's disease using multimodal retinal imaging}},
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@article{jiang2020-33166800,
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  year    = {2020},
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@article{laguarta2020-34812418,
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  title   = {{COVID-19 Artificial Intelligence Diagnosis Using Only Cough Recordings}},
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@article{kim2021-32990807,
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  title   = {{Visual interpretation of [18F]Florbetaben PET supported by deep learning-based estimation of amyloid burden}},
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@article{guo2020-32723713,
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  title   = {{Artificial Intelligence in Health Care: Bibliometric Analysis}},
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@article{landi2020-32699826,
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@article{li2020-33017977,
  author  = {Li, Yuling and Xiao, Shasha and Li, Yingjie and Li, Yunxia and Yang, Banghua},
  title   = {{Classification of Mild Cognitive Impairment from multi-domain features of resting-state EEG}},
  journal = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference},
  year    = {2020},
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@article{bashyam2020-32591831,
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  title   = {{MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide}},
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  year    = {2020},
  doi     = {10.1093/brain/awaa160},
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@article{pan2020-32477040,
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  title   = {{Early Detection of Alzheimer's Disease Using Magnetic Resonance Imaging: A Novel Approach Combining Convolutional Neural Networks and Ensemble Learning}},
  journal = {Frontiers in neuroscience},
  year    = {2020},
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@article{wen2020-32417716,
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@article{castillobarnes2020-32284705,
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  title   = {{Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning}},
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  year    = {2020},
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@article{oh2019-31796817,
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  year    = {2019},
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@article{zeng2019-31116390,
  author  = {Zeng, X. and Zhu, S. and Liu, X. and Zhou, Y. and Nussinov, R. and Cheng, F.},
  title   = {{deepDR: a network-based deep learning approach to in silico drug repositioning}},
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  year    = {2019},
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@article{ebrahimighahnavieh2020-31837630,
  author  = {Ebrahimighahnavieh, M. A. and Luo, S. and Chiong, R.},
  title   = {{Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review}},
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  year    = {2020},
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@article{ly2020-31843257,
  author  = {Ly, Maria and Yu, Gary Z and Karim, Helmet T and Muppidi, Nishita R and Mizuno, Akiko and Klunk, William E and Aizenstein, Howard J and {Alzheimer's Disease Neuroimaging Initiative}},
  title   = {{Improving brain age prediction models: incorporation of amyloid status in Alzheimer's disease}},
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@article{jo2019-31481890,
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  title   = {{Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data}},
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@article{bohle2019-31417397,
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@article{kobayashi2019-31289248,
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@article{huang2019-31213967,
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  year    = {2019},
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  title   = {{Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study}},
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@article{shatte2019-30744717,
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@article{standel2019-30669406,
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  title   = {{A Review on a Deep Learning Perspective in Brain Cancer Classification}},
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@article{yan2019-30958352,
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  title   = {{Early-Stage Identification and Pathological Development of Alzheimer's Disease Using Multimodal MRI}},
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  year    = {2019},
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@article{lian2020-30582529,
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  year    = {2020},
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@article{basaia2019-30584016,
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  title   = {{Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks}},
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  year    = {2019},
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@article{venkatraghavan2019-30471388,
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  title   = {{Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling}},
  journal = {NeuroImage},
  year    = {2019},
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@article{lau2019-30656187,
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  title   = {{Retinal image analytics detects white matter hyperintensities in healthy adults}},
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  year    = {2019},
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@article{ding2019-30398430,
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  title   = {{A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18 F-FDG PET of the Brain}},
  journal = {Radiology},
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@article{lin2018-30455622,
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  title   = {{Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer's Disease Prediction From Mild Cognitive Impairment}},
  journal = {Frontiers in neuroscience},
  year    = {2018},
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@article{liu2018-29572601,
  author  = {Liu, M. and Cheng, D. and Wang, K. and Wang, Y. and {Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis}},
  journal = {Neuroinformatics},
  year    = {2018},
  doi     = {10.1007/s12021-018-9370-4},
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@article{liu2019-30222548,
  author  = {Liu, M. and Zhang, J. and Adeli, E. and Shen, D.},
  title   = {{Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis}},
  journal = {IEEE transactions on bio-medical engineering},
  year    = {2019},
  doi     = {10.1109/tbme.2018.2869989},
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@article{mateosperez2018-30167371,
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  title   = {{Structural neuroimaging as clinical predictor: A review of machine learning applications}},
  journal = {NeuroImage. Clinical},
  year    = {2018},
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@article{liu2018-29970996,
  author  = {Liu, M. and Cheng, D. and Yan, W. and {Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{Classification of Alzheimer's Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images}},
  journal = {Frontiers in neuroinformatics},
  year    = {2018},
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@article{parisot2018-29890408,
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  title   = {{Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease}},
  journal = {Medical image analysis},
  year    = {2018},
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@article{islam2018-29881892,
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  title   = {{Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks}},
  journal = {Brain informatics},
  year    = {2018},
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@article{kang2018-29752765,
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  title   = {{Adaptive template generation for amyloid PET using a deep learning approach}},
  journal = {Human brain mapping},
  year    = {2018},
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@article{lu2018-29632364,
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  title   = {{Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images}},
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  year    = {2018},
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@article{wang2018-29577169,
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  title   = {{Classification of Alzheimer's Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling}},
  journal = {Journal of medical systems},
  year    = {2018},
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@article{choi2018-29454006,
  author  = {Choi, H. and Jin, K. H. and {Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging}},
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  year    = {2018},
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@article{cheng2017-27928657,
  author  = {Cheng, Bo and Liu, Mingxia and Shen, Dinggang and Li, Zuoyong and Zhang, Daoqiang and {Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease}},
  journal = {Neuroinformatics},
  year    = {2017},
  doi     = {10.1007/s12021-016-9318-5},
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@article{hojjati2017-28286064,
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  title   = {{Predicting conversion from MCI to AD using resting-state fMRI, graph theoretical approach and SVM}},
  journal = {Journal of neuroscience methods},
  year    = {2017},
  doi     = {10.1016/j.jneumeth.2017.03.006},
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@article{suk2017-28167394,
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  year    = {2017},
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@article{shi2018-28113353,
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  journal = {IEEE journal of biomedical and health informatics},
  year    = {2018},
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@article{gao2017-27886714,
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@article{ortiz2016-27478060,
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  year    = {2016},
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@article{fraser2016-26484921,
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  year    = {2016},
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@article{cui2015-092e5e5d,
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  title   = {{Analysis of entropies based on empirical mode decomposition in amnesic mild cognitive impairment of diabetes mellitus}},
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  year    = {2015},
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  year    = {2015},
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@article{dyrba2015-25664619,
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  year    = {2015},
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@article{liu2015-25423647,
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  year    = {2015},
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@article{moradi2015-25312773,
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  title   = {{Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects}},
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  year    = {2015},
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@article{suk2014-25042445,
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  journal = {NeuroImage},
  year    = {2014},
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@article{shamonin2013-24474917,
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  title   = {{Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease}},
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  year    = {2013},
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@article{li2014-25320813,
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@article{suk2015-24363140,
  author  = {Suk, H. I. and Lee, S. W. and Shen, D. and {Alzheimer’s Disease Neuroimaging Initiative}},
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@article{young2013-24179825,
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  title   = {{Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment}},
  journal = {NeuroImage. Clinical},
  year    = {2013},
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@article{suk2013-24579188,
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  year    = {2013},
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@article{gray2013-23041336,
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  title   = {{Random forest-based similarity measures for multi-modal classification of Alzheimer's disease}},
  journal = {NeuroImage},
  year    = {2013},
  doi     = {10.1016/j.neuroimage.2012.09.065},
  pmid    = {23041336},
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@article{orru2012-22305994,
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  title   = {{Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review}},
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  year    = {2012},
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  pmid    = {22305994},
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@article{chu2012-22166797,
  author  = {Chu, C. and Hsu, A. L. and Chou, K. H. and Bandettini, P. and Lin, C. and {Alzheimer's Disease Neuroimaging Initiative}},
  title   = {{Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images}},
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