% alzhub.org library filter % Source: https://alzhub.org/research?category=imaging&about=digital-tools % 56 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{corbin2022-35388080, author = {Corbin, Denis and Lesage, Frédéric}, title = {{Assessment of the predictive potential of cognitive scores from retinal images and retinal fundus metadata via deep learning using the CLSA database}}, journal = {Scientific reports}, year = {2022}, doi = {10.1038/s41598-022-09719-3}, pmid = {35388080}, url = {https://doi.org/10.1038/s41598-022-09719-3} } @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{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{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{kim2021-32990807, author = {Kim, Ji-Young and Oh, Dongkyu and Sung, Kiyoung and Choi, Hongyoon and Paeng, Jin Chul and Cheon, Gi Jeong and Kang, Keon Wook and Lee, Dong Young and others}, title = {{Visual interpretation of [18F]Florbetaben PET supported by deep learning-based estimation of amyloid burden}}, journal = {European journal of nuclear medicine and molecular imaging}, year = {2021}, doi = {10.1007/s00259-020-05044-x}, pmid = {32990807}, url = {https://doi.org/10.1007/s00259-020-05044-x} } @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}}, journal = {BMC Bioinformatics}, year = {2020}, doi = {10.1186/s12859-020-03848-0}, pmid = {33371874}, url = {https://doi.org/10.1186/s12859-020-03848-0} } @article{manook2012-22427802, author = {Manook, A. and Yousefi, B. 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