Yinzhe Wu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Learning Models

Recent Advances

Top Venues

Publications

Jiahao Huang, Pedro F. Ferreira, Lichao Wang, Yinzhe Wu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Ramyah Rajakulasingam, Ranil De Silva, Dudley J. Pennell, Sonia Nielles-Vallespin, Guang Yang
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study. CoRR (2023)
Jiahao Huang, Yingying Fang, Yinzhe Wu, Huanjun Wu, Zhifan Gao, Yang Li, Javier Del Ser, Jun Xia, Guang Yang
Swin Transformer for Fast MRI. CoRR (2022)
Xiaodan Xing, Javier Del Ser, Yinzhe Wu, Yang Li, Jun Xia, Lei Xu, David N. Firmin, Peter Gatehouse, Guang Yang
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis. CoRR (2022)
Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang
: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention. CoRR (2022)
Jiahao Huang, Yingying Fang, Yinzhe Wu, Huanjun Wu, Zhifan Gao, Yang Li, Javier Del Ser, Jun Xia, Guang Yang
Swin transformer for fast MRI. Neurocomputing 493 (2022)
Jiahao Huang, Yinzhe Wu, Huanjun Wu, Guang Yang
Fast MRI Reconstruction: How Powerful Transformers Are? CoRR (2022)
Jiahao Huang, Yingying Fang, Yang Nan, Huanjun Wu, Yinzhe Wu, Zhifan Gao, Yang Li, Zidong Wang, Pietro Liò, Daniel Rueckert, Yonina C. Eldar, Guang Yang
Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers. CoRR (2022)
Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang
: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention. MICCAI (8) (2022)
Jiahao Huang, Yinzhe Wu, Huanjun Wu, Guang Yang
Fast MRI Reconstruction: How Powerful Transformers Are? EMBC (2022)
Mengmeng Kuang, Yinzhe Wu, Diego Alonso-Álvarez, David N. Firmin, Jennifer Keegan, Peter Gatehouse, Guang Yang
Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping. FIMH (2021)
Xiaodan Xing, Yinzhe Wu, David N. Firmin, Peter Gatehouse, Guang Yang
Synthetic Velocity Mapping Cardiac MRI Coupled with Automated Left Ventricle Segmentation. CoRR (2021)
Mengmeng Kuang, Yinzhe Wu, Diego Alonso-Álvarez, David N. Firmin, Jennifer Keegan, Peter Gatehouse, Guang Yang
Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping. CoRR (2021)
Yinzhe Wu, Zeyu Tang, Binghuan Li, David N. Firmin, Guang Yang
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives. CoRR (2021)
Yinzhe Wu, Suzan Hatipoglu, Diego Alonso-Álvarez, Peter Gatehouse, David N. Firmin, Jennifer Keegan, Guang Yang
Automated Multi-Channel Segmentation for the 4D Myocardial Velocity Mapping Cardiac MR. CoRR (2020)
Yinzhe Wu, Jie Zhong, Ling Liu
Global mean square exponential synchronization of stochastic neural networks with time-varying delays. ICACI (2017)