3 papers
eess.IV2026
A Proof-of-Concept Study of Multitask Learning for Cranial Synthetic CT Generation Across Heterogeneous MRI Field Strengths
Zhuoyao Xin, Yiren Zhang, Christopher Wu +6
Accurate synthesis of computed tomography (CT) images from magnetic resonance imaging (MRI) is clinically valuable for cranial applications such as attenuation correction, radiothe…
eess.IV2024
Enhancing brain age estimation with structural MRI and synthesized cerebral blood volume maps
Jordan Jomsky, Zongyu Li, Kay C. Igwe +8
BrainAGE is a promising imaging-derived biomarker of neurobiological ageing and disease risk, yet current approaches rely predominantly on T1-weighted structural MRI, overlooking f…
eess.IV2023
Deep Learning-based MRI Reconstruction with Artificial Fourier Transform Network (AFTNet)
Yanting Yang, Yiren Zhang, Zongyu Li +3
Deep complex-valued neural networks (CVNNs) provide a powerful way to leverage complex number operations and representations and have succeeded in several phase-based applications.…