2 papers
eess.IV2025
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning
Chicago Y. Park, Weijie Gan, Zihao Zou +3
Model-based deep learning (MBDL) is a powerful methodology for designing deep models to solve imaging inverse problems. MBDL networks can be seen as iterative algorithms that estim…
eess.SP2024
TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy
Zihao Zou, Shirin Shoushtari, Jiaming Liu +6
Nuclear Magnetic Resonance (NMR) spectroscopy is a widely-used technique in the fields of bio-medicine, chemistry, and biology for the analysis of chemicals and proteins. The signa…