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% Source: https://alzhub.org/research?category=digital&about=brain-scans
% 139 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{jo2019-31481890,
  author  = {Jo, T. and Nho, K. and Saykin, A. J.},
  title   = {{Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data}},
  journal = {Frontiers in aging neuroscience},
  year    = {2019},
  doi     = {10.3389/fnagi.2019.00220},
  pmid    = {31481890},
  url     = {https://doi.org/10.3389/fnagi.2019.00220}
}

@article{borchert2023-37563912,
  author  = {Borchert, R. J. and Azevedo, T. and Badhwar, A. and Bernal, J. and Betts, M. and Bruffaerts, R. and Burkhart, M. C. and Dewachter, I. and others},
  title   = {{Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review}},
  journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
  year    = {2023},
  doi     = {10.1002/alz.13412},
  pmid    = {37563912},
  url     = {https://doi.org/10.1002/alz.13412}
}

@article{ansart2021-33091740,
  author  = {Ansart, M. and Epelbaum, S. and Bassignana, G. and Bône, A. and Bottani, S. and Cattai, T. and Couronné, R. and Faouzi, J. and others},
  title   = {{Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review}},
  journal = {Medical image analysis},
  year    = {2021},
  doi     = {10.1016/j.media.2020.101848},
  pmid    = {33091740},
  url     = {https://doi.org/10.1016/j.media.2020.101848}
}

@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}},
  journal = {Behavioural brain research},
  year    = {2018},
  doi     = {10.1016/j.bbr.2018.02.017},
  pmid    = {29454006},
  url     = {https://doi.org/10.1016/j.bbr.2018.02.017}
}

@article{grueso2021-34583745,
  author  = {Grueso, S. and Viejo-Sobera, R.},
  title   = {{Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer's disease dementia: a systematic review}},
  journal = {Alzheimer's research \& therapy},
  year    = {2021},
  doi     = {10.1186/s13195-021-00900-w},
  pmid    = {34583745},
  url     = {https://doi.org/10.1186/s13195-021-00900-w}
}

@article{lin2014-24412398,
  author  = {Lin, F. R. and Ferrucci, L. and An, Y. and Goh, J. O. and Doshi, J. and Metter, E. J. and Davatzikos, C. and Kraut, M. A. and others},
  title   = {{Association of hearing impairment with brain volume changes in older adults}},
  journal = {NeuroImage},
  year    = {2014},
  doi     = {10.1016/j.neuroimage.2013.12.059},
  pmid    = {24412398},
  url     = {https://doi.org/10.1016/j.neuroimage.2013.12.059}
}

@article{govindarajan2025-40108173,
  author  = {Govindarajan, Sindhuja Tirumalai and Mamourian, Elizabeth and Erus, Güray and Abdulkadir, Ahmed and Melhem, Randa and Doshi, Jimit J. and Pomponio, Raymond and Tosun, Duygu and others},
  title   = {{Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals}},
  journal = {Nature Communications},
  year    = {2025},
  doi     = {10.1038/s41467-025-57867-7},
  pmid    = {40108173},
  url     = {https://doi.org/10.1038/s41467-025-57867-7}
}

@article{wang2020-32962744,
  author  = {Wang, X. and Huang, W. and Su, L. and Xing, Y. and Jessen, F. and Sun, Y. and Shu, N. and Han, Y.},
  title   = {{Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease}},
  journal = {Molecular neurodegeneration},
  year    = {2020},
  doi     = {10.1186/s13024-020-00395-3},
  pmid    = {32962744},
  url     = {https://doi.org/10.1186/s13024-020-00395-3}
}

@article{frizzell2022-35358720,
  author  = {Frizzell, T. O. and Glashutter, M. and Liu, C. C. and Zeng, A. and Pan, D. and Hajra, S. G. and D'Arcy, R. C. N. and Song, X.},
  title   = {{Artificial intelligence in brain MRI analysis of Alzheimer's disease over the past 12 years: A systematic review}},
  journal = {Ageing research reviews},
  year    = {2022},
  doi     = {10.1016/j.arr.2022.101614},
  pmid    = {35358720},
  url     = {https://doi.org/10.1016/j.arr.2022.101614}
}

@article{li2014-25320813,
  author  = {Li, R. and Zhang, W. and Suk, H. I. and Wang, L. and Li, J. and Shen, D. and Ji, S.},
  title   = {{Deep learning based imaging data completion for improved brain disease diagnosis}},
  journal = {Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year    = {2014},
  doi     = {10.1007/978-3-319-10443-0_39},
  pmid    = {25320813},
  url     = {https://doi.org/10.1007/978-3-319-10443-0_39}
}

@article{chen2020-31901155,
  author  = {Chen, H. F. and Huang, L. L. and Li, H. Y. and Qian, Y. and Yang, D. and Qing, Z. and Luo, C. M. and Li, M. C. and others},
  title   = {{Microstructural disruption of the right inferior fronto-occipital and inferior longitudinal fasciculus contributes to WMH-related cognitive impairment}},
  journal = {CNS neuroscience \& therapeutics},
  year    = {2020},
  doi     = {10.1111/cns.13283},
  pmid    = {31901155},
  url     = {https://doi.org/10.1111/cns.13283}
}

@article{beck2022-34626047,
  author  = {Beck, D. and de Lange, A. G. and Pedersen, M. L. and Alnaes, D. and Maximov, II. and Voldsbekk, I. and Richard, G. and Sanders, A. M. and others},
  title   = {{Cardiometabolic risk factors associated with brain age and accelerate brain ageing}},
  journal = {Human brain mapping},
  year    = {2022},
  doi     = {10.1002/hbm.25680},
  pmid    = {34626047},
  url     = {https://doi.org/10.1002/hbm.25680}
}

@article{meyer2017-28348957,
  author  = {Meyer, S. and Mueller, K. and Stuke, K. and Bisenius, S. and Diehl-Schmid, J. and Jessen, F. and Kassubek, J. and Kornhuber, J. and others},
  title   = {{Predicting behavioral variant frontotemporal dementia with pattern classification in multi-center structural MRI data}},
  journal = {NeuroImage. Clinical},
  year    = {2017},
  doi     = {10.1016/j.nicl.2017.02.001},
  pmid    = {28348957},
  url     = {https://doi.org/10.1016/j.nicl.2017.02.001}
}

@article{turner1996-8967747,
  author  = {Turner, R. S. and Kenyon, L. C. and Trojanowski, J. Q. and Gonatas, N. and Grossman, M.},
  title   = {{Clinical, neuroimaging, and pathologic features of progressive nonfluent aphasia}},
  journal = {Annals of neurology},
  year    = {1996},
  doi     = {10.1002/ana.410390205},
  pmid    = {8967747},
  url     = {https://doi.org/10.1002/ana.410390205}
}

@article{lee2022-37118071,
  author  = {Lee, J. and Burkett, B. J. and Min, H. K. and Senjem, M. L. and Lundt, E. S. and Botha, H. and Graff-Radford, J. and Barnard, L. R. and others},
  title   = {{Deep learning-based brain age prediction in normal aging and dementia}},
  journal = {Nature aging},
  year    = {2022},
  doi     = {10.1038/s43587-022-00219-7},
  pmid    = {37118071},
  url     = {https://doi.org/10.1038/s43587-022-00219-7}
}

@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}},
  journal = {Computer methods and programs in biomedicine},
  year    = {2020},
  doi     = {10.1016/j.cmpb.2019.105242},
  pmid    = {31837630},
  url     = {https://doi.org/10.1016/j.cmpb.2019.105242}
}

@article{arnaldi2024-38466158,
  author  = {Arnaldi, D. and Mattioli, P. and Raffa, S. and Pardini, M. and Massa, F. and Iranzo, A. and Perissinotti, A. and Niñerola-Baizán, A. and others},
  title   = {{Presynaptic Dopaminergic Imaging Characterizes Patients with REM Sleep Behavior Disorder Due to Synucleinopathy}},
  journal = {Annals of neurology},
  year    = {2024},
  doi     = {10.1002/ana.26902},
  pmid    = {38466158},
  url     = {https://doi.org/10.1002/ana.26902}
}

@article{barnard2025-40577677,
  author  = {Barnard, Leland and Botha, Hugo and Corriveau‐Lecavalier, Nick and Graff‐Radford, Jonathan and Dicks, Ellen and Gogineni, Venkatsampath and Zhang, Gemeng and Burkett, Brian J. and others},
  title   = {{An FDG-PET–Based Machine Learning Framework to Support Neurologic Decision-Making in Alzheimer Disease and Related Disorders}},
  journal = {Neurology},
  year    = {2025},
  doi     = {10.1212/wnl.0000000000213831},
  pmid    = {40577677},
  url     = {https://doi.org/10.1212/wnl.0000000000213831}
}

@article{leng2019-30553098,
  author  = {Leng, M. and Liu, P. and Zhang, P. and Hu, M. and Zhou, H. and Li, G. and Yin, H. and Chen, L.},
  title   = {{Pet robot intervention for people with dementia: A systematic review and meta-analysis of randomized controlled trials}},
  journal = {Psychiatry research},
  year    = {2019},
  doi     = {10.1016/j.psychres.2018.12.032},
  pmid    = {30553098},
  url     = {https://doi.org/10.1016/j.psychres.2018.12.032}
}

@article{gill2020-32250302,
  author  = {Gill, S. and Mouches, P. and Hu, S. and Rajashekar, D. and MacMaster, F. P. and Smith, E. E. and Forkert, N. D. and Ismail, Z. and others},
  title   = {{Using Machine Learning to Predict Dementia from Neuropsychiatric Symptom and Neuroimaging Data}},
  journal = {Journal of Alzheimer's disease : JAD},
  year    = {2020},
  doi     = {10.3233/jad-191169},
  pmid    = {32250302},
  url     = {https://doi.org/10.3233/jad-191169}
}

@article{kim2019-30981204,
  author  = {Kim, J. P. and Kim, J. and Park, Y. H. and Park, S. B. and Lee, J. S. and Yoo, S. and Kim, E. J. and Kim, H. J. and others},
  title   = {{Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease}},
  journal = {NeuroImage. Clinical},
  year    = {2019},
  doi     = {10.1016/j.nicl.2019.101811},
  pmid    = {30981204},
  url     = {https://doi.org/10.1016/j.nicl.2019.101811}
}

@article{birba2022-35491275,
  author  = {Birba, A. and Santamaría-García, H. and Prado, P. and Cruzat, J. and Ballesteros, A. S. and Legaz, A. and Fittipaldi, S. and Duran-Aniotz, C. and others},
  title   = {{Allostatic-Interoceptive Overload in Frontotemporal Dementia}},
  journal = {Biological psychiatry},
  year    = {2022},
  doi     = {10.1016/j.biopsych.2022.02.955},
  pmid    = {35491275},
  url     = {https://doi.org/10.1016/j.biopsych.2022.02.955}
}

@article{wagen2022-36102775,
  author  = {Wagen, A. Z. and Coath, W. and Keshavan, A. and James, S. N. and Parker, T. D. and Lane, C. A. and Buchanan, S. M. and Keuss, S. E. and others},
  title   = {{Life course, genetic, and neuropathological associations with brain age in the 1946 British Birth Cohort: a population-based study}},
  journal = {The lancet. Healthy longevity},
  year    = {2022},
  doi     = {10.1016/s2666-7568(22)00167-2},
  pmid    = {36102775},
  url     = {https://doi.org/10.1016/s2666-7568(22)00167-2}
}

@article{gupta2019-31680923,
  author  = {Gupta, Y. and Lama, R. K. and Kwon, G. R. and {Alzheimer's Disease Neuroimaging Initiative}},
  title   = {{Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers}},
  journal = {Frontiers in computational neuroscience},
  year    = {2019},
  doi     = {10.3389/fncom.2019.00072},
  pmid    = {31680923},
  url     = {https://doi.org/10.3389/fncom.2019.00072}
}

@article{jin2020-32714766,
  author  = {Jin, D. and Zhou, B. and Han, Y. and Ren, J. and Han, T. and Liu, B. and Lu, J. and Song, C. and others},
  title   = {{Generalizable, Reproducible, and Neuroscientifically Interpretable Imaging Biomarkers for Alzheimer's Disease}},
  journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
  year    = {2020},
  doi     = {10.1002/advs.202000675},
  pmid    = {32714766},
  url     = {https://doi.org/10.1002/advs.202000675}
}

@article{sorbyadams2024-39622805,
  author  = {Sorby-Adams, A. J. and Guo, J. and Laso, P. and Kirsch, J. E. and Zabinska, J. and Garcia Guarniz, A. L. and Schaefer, P. W. and Payabvash, S. and others},
  title   = {{Portable, low-field magnetic resonance imaging for evaluation of Alzheimer's disease}},
  journal = {Nature communications},
  year    = {2024},
  doi     = {10.1038/s41467-024-54972-x},
  pmid    = {39622805},
  url     = {https://doi.org/10.1038/s41467-024-54972-x}
}

@article{bashyam2020-32591831,
  author  = {Bashyam, V. M. and Erus, G. and Doshi, J. and Habes, M. and Nasrallah, I. and Truelove-Hill, M. and Srinivasan, D. and Mamourian, L. and others},
  title   = {{MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide}},
  journal = {Brain : a journal of neurology},
  year    = {2020},
  doi     = {10.1093/brain/awaa160},
  pmid    = {32591831},
  url     = {https://doi.org/10.1093/brain/awaa160}
}

@article{habes2021-32920988,
  author  = {Habes, M. and Pomponio, R. and Shou, H. and Doshi, J. and Mamourian, E. and Erus, G. and Nasrallah, I. and Launer, L. J. and others},
  title   = {{The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans}},
  journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
  year    = {2021},
  doi     = {10.1002/alz.12178},
  pmid    = {32920988},
  url     = {https://doi.org/10.1002/alz.12178}
}

@article{stonnington2010-20347044,
  author  = {Stonnington, C. M. and Chu, C. and Klöppel, S. and Jack, C. R. and Ashburner, J. and Frackowiak, R. S. and {Alzheimer Disease Neuroimaging Initiative}},
  title   = {{Predicting clinical scores from magnetic resonance scans in Alzheimer's disease}},
  journal = {NeuroImage},
  year    = {2010},
  doi     = {10.1016/j.neuroimage.2010.03.051},
  pmid    = {20347044},
  url     = {https://doi.org/10.1016/j.neuroimage.2010.03.051}
}

@article{gao2023-35668045,
  author  = {Gao, F. and Lv, X. and Dai, L. and Wang, Q. and Wang, P. and Cheng, Z. and Xie, Q. and Ni, M. and others},
  title   = {{A combination model of AD biomarkers revealed by machine learning precisely predicts Alzheimer's dementia: China Aging and Neurodegenerative Initiative (CANDI) study}},
  journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
  year    = {2023},
  doi     = {10.1002/alz.12700},
  pmid    = {35668045},
  url     = {https://doi.org/10.1002/alz.12700}
}

@article{karim2022-35974140,
  author  = {Karim, H. T. and Aizenstein, H. J. and Mizuno, A. and Ly, M. and Andreescu, C. and Wu, M. and Hong, C. H. and Roh, H. W. and others},
  title   = {{Independent replication of advanced brain age in mild cognitive impairment and dementia: detection of future cognitive dysfunction}},
  journal = {Molecular psychiatry},
  year    = {2022},
  doi     = {10.1038/s41380-022-01728-y},
  pmid    = {35974140},
  url     = {https://doi.org/10.1038/s41380-022-01728-y}
}

@article{butler2020-32640168,
  author  = {Butler, L. K. and Kiran, S. and Tager-Flusberg, H.},
  title   = {{Functional Near-Infrared Spectroscopy in the Study of Speech and Language Impairment Across the Life Span: A Systematic Review}},
  journal = {American journal of speech-language pathology},
  year    = {2020},
  doi     = {10.1044/2020_ajslp-19-00050},
  pmid    = {32640168},
  url     = {https://doi.org/10.1044/2020_ajslp-19-00050}
}

@article{jahan2023-37972072,
  author  = {Jahan, S. and Abu Taher, K. and Kaiser, M. S. and Mahmud, M. and Rahman, M. S. and Hosen, A. S. M. S. and Ra, I. H.},
  title   = {{Explainable AI-based Alzheimer's prediction and management using multimodal data}},
  journal = {PloS one},
  year    = {2023},
  doi     = {10.1371/journal.pone.0294253},
  pmid    = {37972072},
  url     = {https://doi.org/10.1371/journal.pone.0294253}
}

@article{huang2019-31213967,
  author  = {Huang, Y. and Xu, J. and Zhou, Y. and Tong, T. and Zhuang, X.},
  title   = {{Diagnosis of Alzheimer's Disease via Multi-Modality 3D Convolutional Neural Network}},
  journal = {Frontiers in neuroscience},
  year    = {2019},
  doi     = {10.3389/fnins.2019.00509},
  pmid    = {31213967},
  url     = {https://doi.org/10.3389/fnins.2019.00509}
}

@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},
  doi     = {10.3389/fninf.2018.00035},
  pmid    = {29970996},
  url     = {https://doi.org/10.3389/fninf.2018.00035}
}

@article{cole2015-25623048,
  author  = {Cole, J. H. and Leech, R. and Sharp, D. J. and {Alzheimer's Disease Neuroimaging Initiative}},
  title   = {{Prediction of brain age suggests accelerated atrophy after traumatic brain injury}},
  journal = {Annals of neurology},
  year    = {2015},
  doi     = {10.1002/ana.24367},
  pmid    = {25623048},
  url     = {https://doi.org/10.1002/ana.24367}
}

@article{burnham2014-23628985,
  author  = {Burnham, S. C. and Faux, N. G. and Wilson, W. and Laws, S. M. and Ames, D. and Bedo, J. and Bush, A. I. and Doecke, J. D. and others},
  title   = {{A blood-based predictor for neocortical Aβ burden in Alzheimer's disease: results from the AIBL study}},
  journal = {Molecular psychiatry},
  year    = {2014},
  doi     = {10.1038/mp.2013.40},
  pmid    = {23628985},
  url     = {https://doi.org/10.1038/mp.2013.40}
}

@article{dyrba2013-23741425,
  author  = {Dyrba, M. and Ewers, M. and Wegrzyn, M. and Kilimann, I. and Plant, C. and Oswald, A. and Meindl, T. and Pievani, M. and others},
  title   = {{Robust automated detection of microstructural white matter degeneration in Alzheimer's disease using machine learning classification of multicenter DTI data}},
  journal = {PloS one},
  year    = {2013},
  doi     = {10.1371/journal.pone.0064925},
  pmid    = {23741425},
  url     = {https://doi.org/10.1371/journal.pone.0064925}
}

@article{adaszewski2013-23890839,
  author  = {Adaszewski, S. and Dukart, J. and Kherif, F. and Frackowiak, R. and Draganski, B. and {Alzheimer's Disease Neuroimaging Initiative}},
  title   = {{How early can we predict Alzheimer's disease using computational anatomy?}},
  journal = {Neurobiology of aging},
  year    = {2013},
  doi     = {10.1016/j.neurobiolaging.2013.06.015},
  pmid    = {23890839},
  url     = {https://doi.org/10.1016/j.neurobiolaging.2013.06.015}
}

@article{donnellykehoe2019-31497638,
  author  = {Donnelly-Kehoe, P. A. and Pascariello, G. O. and García, A. M. and Hodges, JR. and Miller, B. and Rosen, H. and Manes, F. and Landin-Romero, R. and others},
  title   = {{Robust automated computational approach for classifying frontotemporal neurodegeneration: Multimodal/multicenter neuroimaging}},
  journal = {Alzheimer's \& dementia (Amsterdam, Netherlands)},
  year    = {2019},
  doi     = {10.1016/j.dadm.2019.06.002},
  pmid    = {31497638},
  url     = {https://doi.org/10.1016/j.dadm.2019.06.002}
}

@article{kumfor2012-22577002,
  author  = {Kumfor, F. and Piguet, O.},
  title   = {{Disturbance of emotion processing in frontotemporal dementia: a synthesis of cognitive and neuroimaging findings}},
  journal = {Neuropsychology review},
  year    = {2012},
  doi     = {10.1007/s11065-012-9201-6},
  pmid    = {22577002},
  url     = {https://doi.org/10.1007/s11065-012-9201-6}
}

@article{pellegrini2018-30364671,
  author  = {Pellegrini, E. and Ballerini, L. and Hernandez, M. D. C. V. and Chappell, F. M. and González-Castro, V. and Anblagan, D. and Danso, S. and Muñoz-Maniega, S. and others},
  title   = {{Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review}},
  journal = {Alzheimer's \& dementia (Amsterdam, Netherlands)},
  year    = {2018},
  doi     = {10.1016/j.dadm.2018.07.004},
  pmid    = {30364671},
  url     = {https://doi.org/10.1016/j.dadm.2018.07.004}
}

@article{tong2014-24858570,
  author  = {Tong, T. and Wolz, R. and Gao, Q. and Guerrero, R. and Hajnal, J. V. and Rueckert, D. and {Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{Multiple instance learning for classification of dementia in brain MRI}},
  journal = {Medical image analysis},
  year    = {2014},
  doi     = {10.1016/j.media.2014.04.006},
  pmid    = {24858570},
  url     = {https://doi.org/10.1016/j.media.2014.04.006}
}

@article{liu2018-29352978,
  author  = {Liu, X. and Chen, K. and Wu, T. and Weidman, D. and Lure, F. and Li, J.},
  title   = {{Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease}},
  journal = {Translational research : the journal of laboratory and clinical medicine},
  year    = {2018},
  doi     = {10.1016/j.trsl.2018.01.001},
  pmid    = {29352978},
  url     = {https://doi.org/10.1016/j.trsl.2018.01.001}
}

@article{folego2020-33195111,
  author  = {Folego, G. and Weiler, M. and Casseb, R. F. and Pires, R. and Rocha, A.},
  title   = {{Alzheimer's Disease Detection Through Whole-Brain 3D-CNN MRI}},
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  year    = {2026},
  doi     = {10.20944/preprints202609.1729.v1},
  url     = {https://doi.org/10.20944/preprints202609.1729.v1}
}

@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}
}