Ruizhe Li

Orcid: 0000-0003-4697-8947

Affiliations:
  • University of Nottingham, Intelligent Modelling and Analysis Group, School of Computer Science, IMA/LUCID Group, UK


According to our database1, Ruizhe Li authored at least 18 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Standardizing Longitudinal Radiology Report Evaluation via Large Language Model Annotation.
CoRR, January, 2026

Helix 1.0: An open-source framework for reproducible and interpretable machine learning on tabular scientific data.
Patterns, 2026

Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge.
Medical Image Anal., 2026

Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge.
CoRR, July, 2025

Towards deployment-centric multimodal AI beyond vision and language.
CoRR, April, 2025

A survey of deep-learning-based radiology report generation using multimodal inputs.
Medical Image Anal., 2025

A Unified Framework for Semi-Supervised Image Segmentation and Registration.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
Llettuce: An Open Source Natural Language Processing Tool for the Translation of Medical Terms into Uniform Clinical Encoding.
CoRR, 2024

A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data.
CoRR, 2024

MrRegNet: Multi-Resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Accuracy Improvement of Braking Force via Deceleration Feedback Functions Applied to Braking Systems.
Sensors, July, 2023

2022
An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field.
Comput. Methods Programs Biomed., 2022

Motion-Related Artefact Classification Using Patch-Based Ensemble and Transfer Learning in Cardiac MRI.
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.
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.
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.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
FU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net.
Proceedings of the Image and Graphics - 10th International Conference, 2019


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