most citedData and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers

4 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2022★ 4 cited

Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers

Jiahao Huang, Yingying Fang, Yang Nan +9

Research studies have shown no qualms about using data driven deep learning models for downstream tasks in medical image analysis, e.g., anatomy segmentation and lesion detection,…

eess.IV2022

HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis

Xiaodan Xing, Javier Del Ser, Yinzhe Wu +6

Synthetic digital twins based on medical data accelerate the acquisition, labelling and decision making procedure in digital healthcare. A core part of digital healthcare twins is…

eess.IV2022★ 2 cited

Swin Transformer for Fast MRI

Jiahao Huang, Yingying Fang, Yinzhe Wu +6

Magnetic resonance imaging (MRI) is an important non-invasive clinical tool that can produce high-resolution and reproducible images. However, a long scanning time is required for…