12 citations · 15 across the 4 of their papers we have counts for
4 papers
Motion-related Artefact Classification Using Patch-based Ensemble and Transfer Learning in Cardiac MRI
Ruizhe Li, Xin Chen
Cardiac Magnetic Resonance Imaging (MRI) plays an important role in the analysis of cardiac function. However, the acquisition is often accompanied by motion artefacts because of t…
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI
Ruizhe Li, Matteo Bastiani, Dorothee Auer +2
Brain age estimation based on magnetic resonance imaging (MRI) is an active research area in early diagnosis of some neurodegenerative diseases (e.g. Alzheimer, Parkinson, Huntingt…
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net
Mina Jafari, Ruizhe Li, Yue Xing +4
In this paper, we present a generic deep convolutional neural network (DCNN) for multi-class image segmentation. It is based on a well-established supervised end-to-end DCNN model,…
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation
Ruizhe Li, Dorothee Auer, Christian Wagner +1
Deep learning based image segmentation has achieved the state-of-the-art performance in many medical applications such as lesion quantification, organ detection, etc. However, most…