All Relations between Alzheimer Disease and representation

Publication Sentence Publish Date Extraction Date Species
Yiqi Zhu, Soobin Park, Ramana Kolady, Wenqing Zha, Ying Ma, Amanda Dias, Katherine McGuire, Angela Hardi, Sunny Lin, Zahinoor Ismail, Paris B Adkins-Jackson, Jean-Francois Trani, Ganesh M Babula. A systematic review/meta-analysis of prevalence and incidence rates illustrates systemic underrepresentation of individuals racialized as Asian and/or Asian-American in ADRD research. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2024-05-06. PMID:38708587. we investigate alzheimer's disease and related dementia (adrd) prevalence, incidence rate, and risk factors in individuals racialized as asian and/or asian-american and assess sample representation. 2024-05-06 2024-05-08 Not clear
b' Jaroslava Hasmanov\\xc3\\xa1 Marh\\xc3\\xa1nkov\\xc3\\xa1, Michaela Honelov\\xc3\\xa. Making sense of dementia: Older adults\' subjective representations of dementia and Alzheimer\'s disease. The journals of gerontology. Series B, Psychological sciences and social sciences. 2024-04-04. PMID:38572717.' making sense of dementia: older adults' subjective representations of dementia and alzheimer's disease. 2024-04-04 2024-04-06 Not clear
Diane Xue, Elizabeth E Blue, Matthew P Conomos, Alison E Fohne. The power of representation: Statistical analysis of diversity in US Alzheimer's disease genetics data. Alzheimer's & dementia (New York, N. Y.). vol 10. issue 1. 2024-03-19. PMID:38500778. the power of representation: statistical analysis of diversity in us alzheimer's disease genetics data. 2024-03-19 2024-03-21 human
Chuanzhen Zhu, Honglun Li, Zhiwei Song, Minbo Jiang, Limei Song, Lin Li, Xuan Wang, Qiang Zhen. Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer's disease on routinely acquired T1-weighted imaging-based brain network. Health information science and systems. vol 12. issue 1. 2024-03-11. PMID:38464465. jointly constrained group sparse connectivity representation improves early diagnosis of alzheimer's disease on routinely acquired t1-weighted imaging-based brain network. 2024-03-11 2024-03-14 Not clear
Minjoon Kim, Sejoon Huh, Hyung Joon Park, Seunghee H Cho, Min-Young Lee, Sungho Jo, Yeon Sik Jun. Surface-functionalized SERS platform for deep learning-assisted diagnosis of Alzheimer's disease. Biosensors & bioelectronics. vol 251. 2024-02-17. PMID:38367567. ultimately, sers spectra of blood plasma of alzheimer's disease patients and human controls are measured on the substrates and classified via advanced deep learning techniques that automatically extract informative features to learn generalizable representations. 2024-02-17 2024-02-20 human
Zhi Yang, Kang Li, Haitao Gan, Zhongwei Huang, Ming Shi, Ran Zho. An Alzheimer's Disease classification network based on MRI utilizing diffusion maps for multi-scale feature fusion in graph convolution. Mathematical biosciences and engineering : MBE. vol 21. issue 1. 2024-02-02. PMID:38303477. graph convolutional networks (gcn) have been widely utilized in alzheimer's disease (ad) classification research due to its ability to automatically learn robust and powerful feature representations. 2024-02-02 2024-02-04 Not clear
Mehar Sahu, Neetu Rani, Pravir Kuma. Simulation and Computational Study of RING Domain Mutants of BRCA1 and Ube2k in AD/PD Pathophysiology. Molecular biotechnology. 2024-01-03. PMID:38172369. graphical representation of all the steps involved to study mutation in the ring domain of brca1 which is a common e3 ligase observed in alzheimer's disease and parkinson's disease. 2024-01-03 2024-01-06 Not clear
Rubing Wang, Linlin Gao, Xiaoling Zhang, Jinming Ha. SVFR: A novel slice-to-volume feature representation framework using deep neural networks and a clustering model for the diagnosis of Alzheimer's disease. Heliyon. vol 10. issue 1. 2023-12-27. PMID:38148809. svfr: a novel slice-to-volume feature representation framework using deep neural networks and a clustering model for the diagnosis of alzheimer's disease. 2023-12-27 2023-12-29 Not clear
Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P DeRamus, Margaux Luck, Maria Misiura, Girish Mittapalle, R Devon Hjelm, Sergey M Plis, Vince D Calhou. Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links. NeuroImage. 2023-12-18. PMID:38110045. our self-supervised representations demonstrate promising capabilities in predicting the presence of brain disorders across a spectrum of alzheimer's phenotypes. 2023-12-18 2023-12-21 Not clear
Haniyeh Marefat, Zahra Vahabi, Neda Afzalian, Mahdiyeh Khanbagi, Hamed Karimi, Fatemeh Ebrahiminia, Chris Kalafatis, Mohammad Hadi Modarres, Seyed-Mahdi Khaligh-Razav. Brain Representation of Animal and Non-Animal Images in Patients with Mild Cognitive Impairment and Alzheimer's Disease. Journal of Alzheimer's disease reports. vol 7. issue 1. 2023-12-01. PMID:38025804. brain representation of animal and non-animal images in patients with mild cognitive impairment and alzheimer's disease. 2023-12-01 2023-12-10 Not clear
Simón Oxenford, Ana Sofía Ríos, Barbara Hollunder, Clemens Neudorfer, Alexandre Boutet, Gavin J B Elias, Jurgen Germann, Aaron Loh, Wissam Deeb, Bryan Salvato, Leonardo Almeida, Kelly D Foote, Robert Amaral, Paul B Rosenberg, David F Tang-Wai, David A Wolk, Anna D Burke, Marwan N Sabbagh, Stephen Salloway, M Mallar Chakravarty, Gwenn S Smith, Constantine G Lyketsos, Michael S Okun, William S Anderson, Zoltan Mari, Francisco A Ponce, Andres Lozano, Wolf-Julian Neumann, Bassam Al-Fatly, Andreas Hor. WarpDrive: Improving spatial normalization using manual refinements. Medical image analysis. vol 91. 2023-11-26. PMID:38007978. we show that the tool applied in a cohort of patients with alzheimer's disease who underwent deep brain stimulation surgery helps create more accurate representations of the data as well as meaningful models to explain patient outcomes. 2023-11-26 2023-11-28 human
Umit Murat Akkaya, Habil Kalka. A New Approach for Multimodal Usage of Gene Expression and Its Image Representation for the Detection of Alzheimer's Disease. Biomolecules. vol 13. issue 11. 2023-11-25. PMID:38002245. a new approach for multimodal usage of gene expression and its image representation for the detection of alzheimer's disease. 2023-11-25 2023-11-28 Not clear
Shana D Stites, Kimberly Halberstadter, Rosalie Schumann, Nisha Patel, Dawn Mechanic-Hamilto. A - 38 Variance in Educational Experiences among Older Adults Enrolled in an Alzheimer's Disease Research Cohort. Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists. 2023-10-09. PMID:37807162. we examine educational experiences in an alzheimer's disease (ad) research cohort to understand how the representation and distribution of these experiences may affect the generalizability of conclusions in ad research. 2023-10-09 2023-10-15 Not clear
Haoliang Duan, Huabin Wang, Yonglin Chen, Fei Liu, Liang Ta. EAMNet: an Alzheimer's disease prediction model based on representation learning. Physics in medicine and biology. 2023-09-29. PMID:37774713. eamnet: an alzheimer's disease prediction model based on representation learning. 2023-09-29 2023-10-07 Not clear
Na Gao, Zhiyuan Liu, Yuesheng Deng, Hantao Chen, Chenfei Ye, Qi Yang, Ting M. MR-based spatiotemporal anisotropic atrophy evaluation of hippocampus in Alzheimer's disease progression by multiscale skeletal representation. Human brain mapping. 2023-08-23. PMID:37608620. mr-based spatiotemporal anisotropic atrophy evaluation of hippocampus in alzheimer's disease progression by multiscale skeletal representation. 2023-08-23 2023-09-07 human
Na Gao, Zhiyuan Liu, Yuesheng Deng, Hantao Chen, Chenfei Ye, Qi Yang, Ting M. MR-based spatiotemporal anisotropic atrophy evaluation of hippocampus in Alzheimer's disease progression by multiscale skeletal representation. Human brain mapping. 2023-08-23. PMID:37608620. to map histological distinctive measurements onto medical magnetic resonance (mr) images, we propose a multiscale skeletal representation (m-s-rep) to quantify focal hippocampal atrophy during ad progression in longitudinal cohorts from the alzheimer's disease neuroimaging initiative (adni). 2023-08-23 2023-09-07 human
Aaron C Lim, Lisa L Barnes, Gali H Weissberger, Melissa Lamar, Annie L Nguyen, Laura Fenton, Jennifer Herrera, S Duke Ha. Quantification of race/ethnicity representation in Alzheimer's disease neuroimaging research in the USA: a systematic review. Communications medicine. vol 3. issue 1. 2023-07-25. PMID:37491471. quantification of race/ethnicity representation in alzheimer's disease neuroimaging research in the usa: a systematic review. 2023-07-25 2023-08-14 Not clear
Erratum to "A call to address structural barriers to Hispanic/Latino representation in clinical trials on Alzheimer's disease and related dementias: A micro-meso-macro perspective". Alzheimer's & dementia (New York, N. Y.). vol 9. issue 3. 2023-07-24. PMID:37484737. erratum to "a call to address structural barriers to hispanic/latino representation in clinical trials on alzheimer's disease and related dementias: a micro-meso-macro perspective". 2023-07-24 2023-08-14 Not clear
Chengsheng Mao, Jie Xu, Luke Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Lu. AD-BERT: Using Pre-trained Language Model to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. Journal of biomedical informatics. 2023-07-10. PMID:37429512. we develop a deep learning framework based on the pre-trained bidirectional encoder representations from transformers (bert) model using unstructured clinical notes from electronic health records (ehrs) to predict the risk of disease progression from mild cognitive impairment (mci) to alzheimer's disease (ad). 2023-07-10 2023-08-14 Not clear
María P Aranda, David X Marquez, Dolores Gallagher-Thompson, Adriana Pérez, Julio C Rojas, Carl V Hill, Yarissa Reyes, Peggye Dilworth-Anderson, Elena Portacolone. A call to address structural barriers to Hispanic/Latino representation in clinical trials on Alzheimer's disease and related dementias: A micro-meso-macro perspective. Alzheimer's & dementia (New York, N. Y.). vol 9. issue 2. 2023-06-08. PMID:37287471. a call to address structural barriers to hispanic/latino representation in clinical trials on alzheimer's disease and related dementias: a micro-meso-macro perspective. 2023-06-08 2023-08-14 Not clear