DeepHoloBrain: From Geometric Deep Model to Computational Neuroscience

In practice, we evaluate the clinical value of our mixer model in (1) disease early diagnosis and (2) generality of adapting the pre-trained model to a new dataset. Our extensive experimental results affirm the model's effectiveness and practicality, marking a significant advancement in the field of neuroscience.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.089911
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
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article

DeepHoloBrain: From Geometric Deep Model to Computational Neuroscience

Tingting Dan, Guorong Wu
1 links
Alzheimer s & Dementia
Cell Image Analysis Techniques
article

DeepHoloBrain: From Geometric Deep Model to Computational Neuroscience

Tingting Dan, Guorong Wu
article en

Abstract

In practice, we evaluate the clinical value of our mixer model in (1) disease early diagnosis and (2) generality of adapting the pre-trained model to a new dataset. Our extensive experimental results affirm the model's effectiveness and practicality, marking a significant advancement in the field of neuroscience.

Alzheimer s & DementiaVol. 20(S1)
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 84%
Cell Image Analysis Techniques
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DeepHoloBrain: From Geometric Deep Model to Computational Neuroscience — Tingting Dan, Guorong Wu · Alzheimer s & Dementia (2024) | TGRS Research Map | TGRS