BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling | ScienceToStartup | ScienceToStartup

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References (24)

[1]

A New Adaptive Sliding Window Method for fMRI Dynamic Functional Connectivity Analysis

2025Ning Jiang, Yuhu Shi

[2]

Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis

2024Guangqi Wen, Peng Cao et al.

[3]

MCDGLN: Masked Connection-based Dynamic Graph Learning Network for Autism Spectrum Disorder

Founder's Pitch

"BrainSTR offers a novel framework for interpretable dynamic brain network modeling to enhance neuropsychiatric diagnosis."

Medical AI•Score: 7•View PDF ↗

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BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling

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References (24)

Founder's Pitch

"BrainSTR offers a novel framework for interpretable dynamic brain network modeling to enhance neuropsychiatric diagnosis."

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BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling

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References (24)

Founder's Pitch

"BrainSTR offers a novel framework for interpretable dynamic brain network modeling to enhance neuropsychiatric diagnosis."

Commercial Viability Breakdown

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