No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space | ScienceToStartup | ScienceToStartup

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References (28)

[1]

Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond

2025Yundi Zhang, Paul Hager et al.

[2]

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging

2024Wenqi Huang, Veronika Spieker et al.

[3]

Classification, Regression and Segmentation directly from k-Space in Cardiac MRI

Founder's Pitch

"k-MTR is a novel framework for direct cardiac analysis from undersampled k-space data, enhancing diagnostic efficiency."

Medical AI•Score: 7•View PDF ↗

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No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space

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References (28)

Founder's Pitch

"k-MTR is a novel framework for direct cardiac analysis from undersampled k-space data, enhancing diagnostic efficiency."

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No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space

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References (28)

Founder's Pitch

"k-MTR is a novel framework for direct cardiac analysis from undersampled k-space data, enhancing diagnostic efficiency."

Commercial Viability Breakdown

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