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Longitudinal MRI analysis using a hybrid DenseNet-BiLSTM method for Alzheimer's disease prediction

Research article (Behavioural Brain Research, 2024) · cited 12× · AI/ML
academia openalex:W4391655462
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Longitudinal MRI analysis using a hybrid DenseNet-BiLSTM method for Alzheimer's disease prediction

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Longitudinal MRI analysis using a hybrid DenseNet-BiLSTM method for Alzheimer's disease prediction is a scholarly article[1].

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  • Longitudinal MRI analysis using a hybrid DenseNet-BiLSTM method for Alzheimer's disease prediction's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Longitudinal MRI analysis using a hybrid DenseNet-BiLSTM method for Alzheimer's disease prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/longitudinal-mri-analysis-using-a-hybrid-densenet-bilstm-method-for-alzheimer-s-disease-prediction
MLA “Longitudinal MRI analysis using a hybrid DenseNet-BiLSTM method for Alzheimer's disease prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/longitudinal-mri-analysis-using-a-hybrid-densenet-bilstm-method-for-alzheimer-s-disease-prediction.
BibTeX @misc{4ortxyz_longitudinal-mri-analysis-using-a-hybrid-densenet-bilstm-method-for-alzheimer-s-disease-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Longitudinal MRI analysis using a hybrid DenseNet-BiLSTM method for Alzheimer's disease prediction}}, year = {2026}, url = {https://4ort.xyz/entity/longitudinal-mri-analysis-using-a-hybrid-densenet-bilstm-method-for-alzheimer-s-disease-prediction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Longitudinal MRI analysis using a hybrid DenseNet-BiLSTM method for Alzheimer's disease prediction — https://4ort.xyz/entity/longitudinal-mri-analysis-using-a-hybrid-densenet-bilstm-method-for-alzheimer-s-disease-prediction (retrieved 2026-05-24)

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