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Chapter and Conference Paper
Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion
Predicted brain age could be used to measure individual brain status over development and degeneration, which could also indicate the potential risk of age-related brain disorders. Although various techniques ...
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Article
Open AccessA generalized dual-domain generative framework with hierarchical consistency for medical image reconstruction and synthesis
Medical image reconstruction and synthesis are critical for imaging quality, disease diagnosis and treatment. Most of the existing generative models ignore the fact that medical imaging usually occurs in the a...
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Article
Open AccessTransport pathways and kinetics of cerebrospinal fluid tracers in mouse brain observed by dynamic contrast-enhanced MRI
Recent studies have suggested the glymphatic system as a key mechanism of waste removal in the brain. Dynamic contrast-enhanced MRI (DCE-MRI) using intracisternally administered contrast agents is a promising ...
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Chapter and Conference Paper
SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
Systolic and diastolic registration of coronary arteries is a critical yet challenging step in coronary artery disease analysis. Most existing methods ignore the important relationship between vascular geometr...
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Chapter and Conference Paper
Develo** Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images
Early detection and diagnosis of breast cancer using ultrasound images are crucial for timely diagnostic decision and treatment in clinical application. However, the similarity between tumors and background an...
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Chapter and Conference Paper
Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites
In clinical practice, a segmentation network is often required to continually learn on a sequential data stream from multiple sites rather than a consolidated set, due to the storage cost and privacy restricti...
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Chapter and Conference Paper
Deep-Learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals
In human MRI studies, magnetic resonance fingerprinting (MRF) allows simultaneous T1 and T2 map** in 10 s using 48-fold undersampled data. However, when “reverse translated” to preclinical research involving sm...
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Article
Open AccessDynamic, Simultaneous Concentration Map** of Multiple MRI Contrast Agents with Dual Contrast - Magnetic Resonance Fingerprinting
Synchronous assessment of multiple MRI contrast agents in a single scanning session would provide a new “multi-color” imaging capability similar to fluorescence imaging but with high spatiotemporal resolution ...
