Ruizhe Li

According to our database, Ruizhe Li authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Llettuce: An Open Source Natural Language Processing Tool for the Translation of Medical Terms into Uniform Clinical Encoding.

James Mitchell-White, Reza Omdivar, Esmond Urwin, Karthikeyan Sivakumar, Ruizhe Li, Andy Rae, Xiaoyan Wang, Theresia Mina, John Chambers, Grazziela Patrocinio Figueredo, Philip Roy Quinlan

CoRR, 2024

A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data.

Xinyi Wang, Grazziela P. Figueredo, Ruizhe Li, Wei Emma Zhang, Weitong Chen, Xin Chen

CoRR, 2024

MrRegNet: Multi-Resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations.

Ruizhe Li, Grazziela P. Figueredo, Dorothee Auer, Christian Wagner, Xin Chen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Accuracy Improvement of Braking Force via Deceleration Feedback Functions Applied to Braking Systems.

Yuzhu Wang, Xiyuan Wen, Hongfang Meng, Xiang Zhang, Ruizhe Li, Roger Serra

Sensors, July, 2023

2022

An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field.

Ruizhe Li, Xin Chen

Comput. Methods Programs Biomed., 2022

Motion-Related Artefact Classification Using Patch-Based Ensemble and Transfer Learning in Cardiac MRI.

Ruizhe Li, Xin Chen

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss.

Golnar K. Mahani, Ruizhe Li, Nikolaos Evangelou, Stamatios Sotiropolous, Paul S. Morgan, Andrew P. French, Xin Chen

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI.

Ruizhe Li, Matteo Bastiani, Dorothee Auer, Christian Wagner, Xin Chen

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2020

A Generic Ensemble Based Deep Convolutional Neural Network for Semi-Supervised Medical Image Segmentation.

Ruizhe Li, Christian Wagner, Xin Chen, Dorothee Auer

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

FU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net.

Mina Jafari, Ruizhe Li, Yue Xing, Dorothee Auer, Susan T. Francis, Jonathan M. Garibaldi, Xin Chen

Proceedings of the Image and Graphics - 10th International Conference, 2019