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20222026
most citedSRNR: Training neural networks for Super-Resolution MRI using Noisy high-resolution Reference data

2 citations · 2 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Generalizable fetal brain biometry via adaptive artificial intelligence

Yijin Li, Mingxuan Liu, Yi Liao +24

Reliable fetal brain biometry on magnetic resonance imaging (MRI) is essential for diagnosing congenital brain anomalies, but artificial intelligence models often lose accuracy und…

eess.IV2026

A physics-informed foundation model for quantitative diffusion MRI

Zihan Li, Jialan Zheng, Ziyu Li +18

Understanding the human brain requires access to its microscopic tissue architecture. Diffusion magnetic resonance imaging (MRI) provides the only noninvasive window into whole-bra…

cs.CV2026

CoilDrop-MRI: Self-supervised physics-guided MRI reconstruction with coil dropout

Tongxi Song, Ziyu Li, Zihan Li +6

Self-supervised deep learning-based methods have shown great promise for accelerated magnetic resonance imaging (MRI) reconstruction, achieving high image quality without requiring…

cs.CV2026

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study

Yuhan Wang, Zihan Li, Han Liu +7

Voxel-wise dose prediction is a critical yet challenging task in practical radiotherapy (RT) planning, as bespoke models trained from scratch often struggle to generalize across di…

cs.CV2026

INFANiTE: Implicit Neural representation for high-resolution Fetal brain spatio-temporal Atlas learNing from clinical Thick-slicE MRI

Xiaotian Hu, Mingxuan Liu, Hongjia Yang +10

Spatio-temporal fetal brain atlases are important for characterizing normative neurodevelopment and identifying congenital anomalies. However, existing atlas construction pipelines…

eess.IV2026

Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI

Mingxuan Liu, Yingqi Hao, Yi Liao +17

Prenatal germinal matrix-intraventricular hemorrhage (GMH-IVH) is a leading cause of infant mortality and neurodevelopmental impairment, yet its manual diagnosis and lesion segment…

cs.CV2026

FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis

Xiaotian Hu, Junwei Huang, Mingxuan Liu +9

Fetal ultrasound (US) is the primary imaging modality for prenatal screening, yet its interpretation relies heavily on the expertise of the clinician. Despite advances in deep lear…