most citedSynthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism

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eess.IV2023★ 2 cited

Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism

Tianyu Zhang, Luyi Han, Anna D'Angelo +7

Magnetic resonance imaging (MRI) is the most sensitive technique for breast cancer detection among current clinical imaging modalities. Contrast-enhanced MRI (CE-MRI) provides supe…

eess.IV2023

Deep-Learning-based Vasculature Extraction for Single-Scan Optical Coherence Tomography Angiography

Jinpeng Liao, Tianyu Zhang, Yilong Zhang +2

Optical coherence tomography angiography (OCTA) is a non-invasive imaging modality that extends the functionality of OCT by extracting moving red blood cell signals from surroundin…

eess.IV2023

IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data

Tianyu Zhang, Tao Tan, Luyi Han +5

Magnetic resonance imaging (MRI) is highly sensitive for lesion detection in the breasts. Sequences obtained with different settings can capture the specific characteristics of les…