Author

Rui Li

Observed name: Li, Rui

Institution: United Imaging Intelligence (China)

Observed institutions: University of Southern California, Anhui University of Science and Technology, Vanderbilt University, University of California, Irvine, Chongqing Institute of Green and Intelligent Technology, Shenzhen Technology University, United Imaging Intelligence (China), Tsinghua University

ORCID: 0000-0001-7577-8528

Observed ORCID: 0000-0001-7577-8528

OpenAlex ID: A5100448361

A systematic review for transformer-based long-term series forecasting

2025 · Liyilei Su, Xumin Zuo, et al. · Artificial Intelligence Review · 249

Resonant acoustic radiation force optical coherence elastography

2013 · Wenjuan Qi, Rui Li, et al. · Applied Physics Letters · 75

Phantom validation of coregistration of PET and CT for image‐guided radiotherapy

2004 · William C. Lavely, Christopher Scarfone, et al. · Medical Physics · 70

Multi-scale detection of pulmonary nodules by integrating attention mechanism

2023 · Zhenguan Cao, Rui Li, et al. · Scientific Reports · 21

NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model

2024 · Shangru Li, Xiangpeng Meng, et al. · BMC Bioinformatics · 18

Automated longitudinal registration of high resolution structural MRI brain sub-volumes in non-human primates

2011 · Jérémy Lecoeur, Feng Wang, et al. · Journal of Neuroscience Methods · 8

Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation

2022 · Wang, Shuai, Li, Rui · arXiv (Cornell University) · 5

Predicting cerebral small vessel disease through retinal scans and demographic data with Bayesian feature selection

2024 · Changkai Ji, Jing Li, et al. · SPIE Medical Imaging: Computer-Aided Diagnosis · 4

Long Short-Term Memory Based Framework for Longitudinal Assessment of COVID-19 Using CT Imaging and Laboratory Data

2022 · Chong Chen, Rui Li, et al. · IEEE Access · 3

Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation

2023 · Wang, Shuai, Yan, Zipei, et al. · arXiv (Cornell University) · 2

Optoacoustic elastography for tissue biomechanical property characterization using a ring transducer

2013 · Teng Ma, Wenjuan Qi, et al. · IEEE International Ultrasonics Symposium · 2

Co-registration of high resolution MRI sub-volumes in non-human primates

2011 · Jérémy Lecoeur, Feng Wang, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2

Dual-Phase CT Radiomics with Deep Learning Segmentation for Classifying Lipid-Poor Adrenal Adenomas from malignant lesions: A multi-center study

2026 · Jianing Liu, Xuelian Gao, et al. · Research Square

TravelNet: A Recursive Decomposition-Based Time Series Forecasting Framework for Bus Travel Time Estimation

2025 · Bolin Chen, Yi Li, et al. · International Joint Conference on Neural Networks (IJCNN)

Unsupervised 4D-Flow MRI reconstruction with Deep Image Prior and Graph Convolution Neural-Network

2024 · Zhongsen Li, Aiqi Sun, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

Nanotope: A Graph Neural Network-Based Model for Nanobody paratope prediction

2023 · Xiangpeng Meng, Shangru Li, et al. · bioRxiv (Cold Spring Harbor Laboratory)

Real-time free-running cardiac imaging with ultra-fast reconstruction technique

2023 · Zhongsen Li, Hanyu Wei, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

Deeping-Learning based acceleration for Serial MR imaging using Transformer (SMR-Transformer): Comparison with CNN on Three Datasets

2023 · Chuyu Liu, Shuo Chen, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

Artificial Neural Network application on non-invasive uroflowmetry parameters and flow shape for discriminating DU from BOO in males

2019 · Rui Li, Andrew Gammie, et al. · Neurourology and Urodynamics

Works count: 21

Citation count: 459

H-index: 6

I10-index: 5