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Research and scientific contributions advancing medical imaging

Deep learning based generation of 3D-maximum Intensity Projection (MIP) of MRA from T1-weighted MRI scans for Cerebrovascular Abnormalities Characterization

Deep LearningMRI SynthesisCerebrovascular Disease

This groundbreaking research demonstrates the application of deep learning techniques to synthesize susceptibility-weighted imaging (SWI) from multi-contrast MRI scans, enabling more accurate detection of cerebrovascular diseases without the need for additional scanning sequences.

Published: PubMed • PMID: 41335960

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Method for reconceptualization of deep learning-based translation of t1-weighted image to magnetic resonance angiography (mra) and a system for deep learning-based translation of t1-weighted image to vasculature image of a brain

PatentMRI TechnologyInnovation

Our patented method of reconceptualization for Maximum Intensity Projection (MIP) represents a significant advancement in MRI imaging technology, enabling more efficient and accurate visualization of cerebrovascular structures.

Published: Google Patents • US20250245956A1

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More publications coming soon. Stay tuned for our latest research findings.

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