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.IV2025
Enhancing Brain Age Estimation with a Multimodal 3D CNN Approach Combining Structural MRI and AI-Synthesized Cerebral Blood Volume Measures
Jordan Jomsky, Kay C. Igwe, Zongyu Li +5
Brain age gap estimation (BrainAGE) is a promising imaging-derived biomarker of neurobiological aging and disease risk, yet current approaches rely predominantly on T1-weighted str…
eess.IV2025
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.…