most citedLearning Apparent Diffusion Coefficient Maps from Accelerated Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2023

HNAS-reg: hierarchical neural architecture search for deformable medical image registration

Jiong Wu, Yong Fan

Convolutional neural networks (CNNs) have been widely used to build deep learning models for medical image registration, but manually designed network architectures are not necessa…

eess.IV2022★ 3 cited

Learning Apparent Diffusion Coefficient Maps from Accelerated Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model

Yuemeng Li, Miguel Romanello Joaquim, Stephen Pickup +3

Purpose: To accelerate radially sampled diffusion weighted spin-echo (Rad-DW-SE) acquisition method for generating high quality apparent diffusion coefficient (ADC) maps. Methods:…