Ruizhe Li

24 papers A* 1Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework.
AAAI
Jinge Wu, Zhaolong Wu, Ruizhe Li, Tong Chen, Abul Hasan, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu
2026 J jnl
Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge.
Medical Image Anal.
Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2026 J jnl
Standardizing Longitudinal Radiology Report Evaluation via Large Language Model Annotation.
CoRR
Xinyi Wang, Grazziela P. Figueredo, Ruizhe Li, Xin Chen
2025 — conf
A Unified Framework for Semi-Supervised Image Segmentation and Registration.
ISBI
Ruizhe Li, Grazziela Patrocinio Figueredo, Dorothee Auer, Rob A. Dineen, Paul S. Morgan, Xin Chen
2025 J jnl
A Unified Framework for Semi-Supervised Image Segmentation and Registration.
CoRR
Ruizhe Li, Grazziela P. Figueredo, Dorothee Auer, Robert A. Dineen, Paul S. Morgan, Xin Chen
2025 J jnl
A survey of deep-learning-based radiology report generation using multimodal inputs.
Medical Image Anal.
Xinyi Wang, Grazziela P. Figueredo, Ruizhe Li, Wei Emma Zhang, Weitong Chen, Xin Chen
2025 J jnl
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge.
CoRR
Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2025 J jnl
Helix 1.0: An Open-Source Framework for Reproducible and Interpretable Machine Learning on Tabular Scientific Data.
CoRR
Eduardo Aguilar-Bejarano, Daniel Lea, Karthikeyan Sivakumar, Jimiama Mafeni Mase, Reza Omidvar, Ruizhe Li, Troy Kettle, James Mitchell-White, Morgan R. Alexander, David A. Winkler, Grazziela Patrocinio Figueredo
2025 J jnl
Towards deployment-centric multimodal AI beyond vision and language.
CoRR
Xianyuan Liu, Jiayang Zhang, Shuo Zhou, Thijs L. van der Plas, Avish Vijayaraghavan, Anastasiia Grishina, Mengdie Zhuang, Daniel Schofield, Christopher Tomlinson, Yuhan Wang, Ruizhe Li, Louisa van Zeeland, Sina Tabakhi, Cyndie Demeocq, Xiang Li, Arunav Das, Orlando Timmerman, Thomas Baldwin-McDonald, Jinge Wu, Peizhen Bai, Zahraa Al Sahili, Omnia Alwazzan, Thao N. Do, Mohammod Naimul Islam Suvon, Angeline Wang, Lucia Cipolina-Kun, Luigi A. Moretti, Lucas Farndale, Nitisha Jain, Natalia Efremova, Yan Ge, Marta Varela, Hak-Keung Lam, Oya Çeliktutan, Ben R. Evans, Alejandro Coca-Castro, Honghan Wu, Zahraa S. Abdallah, Chen Chen, Valentin Danchev, Nataliya Tkachenko, Lei Lu, Tingting Zhu, Gregory G. Slabaugh, Roger K. Moore, William K. Cheung, Peter H. Charlton, Haiping Lu
2024 J jnl
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data.
CoRR
Xinyi Wang, Grazziela P. Figueredo, Ruizhe Li, Wei Emma Zhang, Weitong Chen, Xin Chen
2024 J jnl
Llettuce: An Open Source Natural Language Processing Tool for the Translation of Medical Terms into Uniform Clinical Encoding.
CoRR
James Mitchell-White, Reza Omidvar, Esmond Neil Urwin, Karthikeyan Sivakumar, Ruizhe Li, Andy Rae, Xiaoyan Wang, Theresia Mina, John Chambers, Grazziela Patrocinio Figueredo, Philip Roy Quinlan
2024 — conf
MrRegNet: Multi-Resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations.
ISBI
Ruizhe Li, Grazziela P. Figueredo, Dorothee Auer, Christian Wagner, Xin Chen
2024 J jnl
MrRegNet: Multi-resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations.
CoRR
Ruizhe Li, Grazziela P. Figueredo, Dorothee Auer, Christian Wagner, Xin Chen
2023 J jnl
Accuracy Improvement of Braking Force via Deceleration Feedback Functions Applied to Braking Systems.
Sensors
Yuzhu Wang, Xiyuan Wen, Hongfang Meng, Xiang Zhang, Ruizhe Li, Roger Serra
2022 J jnl
An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field.
Comput. Methods Programs Biomed.
Ruizhe Li, Xin Chen
2022 — conf
Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss.
ISBI
Golnar K. Mahani, Ruizhe Li, Nikolaos Evangelou, Stamatios Sotiropolous, Paul S. Morgan, Andrew P. French, Xin Chen
2022 — conf
Motion-Related Artefact Classification Using Patch-Based Ensemble and Transfer Learning in Cardiac MRI.
STACOM@MICCAI
Ruizhe Li, Xin Chen
2022 J jnl
Motion-related Artefact Classification Using Patch-based Ensemble and Transfer Learning in Cardiac MRI.
CoRR
Ruizhe Li, Xin Chen
2021 — conf
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI.
MIUA
Ruizhe Li, Matteo Bastiani, Dorothee Auer, Christian Wagner, Xin Chen
2021 J jnl
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI.
CoRR
Ruizhe Li, Matteo Bastiani, Dorothee Auer, Christian Wagner, Xin Chen
2020 — conf
A Generic Ensemble Based Deep Convolutional Neural Network for Semi-Supervised Medical Image Segmentation.
ISBI
Ruizhe Li, Christian Wagner, Xin Chen, Dorothee Auer
2020 J jnl
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation.
CoRR
Ruizhe Li, Dorothee Auer, Christian Wagner, Xin Chen
2020 J jnl
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net.
CoRR
Mina Jafari, Ruizhe Li, Yue Xing, Dorothee Auer, Susan T. Francis, Jonathan M. Garibaldi, Xin Chen
2019 — conf
FU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net.
ICIG (2)
Mina Jafari, Ruizhe Li, Yue Xing, Dorothee Auer, Susan T. Francis, Jonathan M. Garibaldi, Xin Chen