activity
20232026
most citedA Novel Training Framework for Physics-informed Neural Networks: Towards Real-time Applications in Ultrafast Ultrasound Blood Flow Imaging

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Coherence-Guided Pyramid Self-Contrastive Disentanglement for Ultrasound Imaging via Single-Shot Test-Time Training

Jiajing Zhang, Bingze Dai, Xi Zhang +2

The inherent electronic noise, side lobes, and speckle noise complicate clinical interpretation of ultrasound images. Conventional denoising methods rely on explicit noise assumpti…

eess.SP2025

2D Sparse Array Design via Reweighted L1 Second Order Cone Programming for 3D Ultrasound Imaging

Xi Zhang, Miguel Bernal, Wei-Ning Lee

Two-dimensional (2D) fully-addressed arrays can conveniently realize three-dimensional (3D) ultrasound imaging while fully controlled such arrays usually demands thousands of indep…

eess.IV2025

Volumetric Ultrasound via 3D Null Subtraction Imaging with Circular and Spiral Apertures

Bingze Dai, Xi Zhang, Wei-Ning Lee

Volumetric ultrasound imaging faces a fundamental trade-off among image quality, frame rate, and hardware complexity. This study introduces three-dimensional Null Subtraction Imagi…

cs.CV2024

SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge

Andong Wang, Bo Wu, Sunli Chen +5

Learning commonsense reasoning from visual contexts and scenes in real-world is a crucial step toward advanced artificial intelligence. However, existing video reasoning benchmarks…

cs.CE2023★ 4 cited

A Novel Training Framework for Physics-informed Neural Networks: Towards Real-time Applications in Ultrafast Ultrasound Blood Flow Imaging

Haotian Guan, Jinping Dong, Wei-Ning Lee

Ultrafast ultrasound blood flow imaging is a state-of-the-art technique for depiction of complex blood flow dynamics in vivo through thousands of full-view image data (or, timestam…