World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
11825
World Ranking
3293
National Ranking
131

Research.com Recognitions

  • 2025 - School of Engineering Research Award, Case Western Reserve University
  • 2025 - Member, National Academy of Inventors
  • 2025 - SPIE Fellow
  • 2025 - Fellow of the International Academy of Medical and Biological Engineering (IAMBE)
  • 2025 - Fellow of the American Institute for Medical and Biological Engineering (AIMBE)

Overview

Shuo Li is affiliated with Case Western Reserve University in the United States and has a significant body of research spanning multiple disciplines, primarily in medicine and engineering. Their work encompasses several subfields, including computer vision and pattern recognition, radiology, nuclear medicine and imaging, materials chemistry, electrical and electronic engineering, and biomedical engineering.

The scientist has contributed to key topics such as advanced photocatalysis techniques, radiomics and machine learning in medical imaging, advanced neural network applications, medical image segmentation techniques, medical imaging and analysis, AI in cancer detection, and electrocatalysts for energy conversion.

Frequent collaborators in their research include Heshan Zheng, Yuting He, Guanyu Yang, Yang Chen, and Jo-Shu Chang.

Shuo Li's recent papers include the following:

  • The development of carbon dots: From the perspective of materials chemistry, 2021, Materials Today
  • Recent progress on electrolyte additives for stable lithium metal anode, 2020, Energy Storage Materials
  • Antibiotics degradation by advanced oxidation process (AOPs): Recent advances in ecotoxicity and antibiotic-resistance genes induction of degradation products, 2022, Chemosphere

In addition to journal articles, Shuo Li has contributed to book publications, with two titles published by Springer Science+Business Media in 2020:

  • Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges
  • Computational Methods and Clinical Applications for Spine Imaging

The frequent venues where Shuo Li has published include Medical Image Analysis, IEEE Journal of Biomedical and Health Informatics, arXiv (Cornell University), SSRN Electronic Journal, and Chemical Engineering Journal.

Best Publications

  • Incremental Support Vector Learning for Ordinal Regression

    Bin Gu;Victor S. Sheng;Keng Yeow Tay;Walter Romano

  • Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model.

    Zhongyi Han;Benzheng Wei;Yuanjie Zheng;Yilong Yin

  • Incremental learning for ν -Support Vector Regression

    Bin Gu;Victor S. Sheng;Zhijie Wang;Derek Ho

  • Spine-GAN: Semantic segmentation of multiple spinal structures.

    Zhongyi Han;Benzheng Wei;Ashley Mercado;Stephanie Leung

  • Image Projection Network: 3D to 2D Image Segmentation in OCTA Images

    Mingchao Li;Yerui Chen;Zexuan Ji;Keren Xie

  • Current trends in the development of intelligent unmanned autonomous systems

    Tao Zhang;Qing Li;Chang-shui Zhang;Hua-wei Liang

  • Full left ventricle quantification via deep multitask relationships learning.

    Wufeng Xue;Gary Brahm;Sachin Pandey;Stephanie Leung

  • PM2.5 Data Reliability, Consistency and Air Quality Assessment in Five Chinese Cities†

    Xuan Liang;Shuo Li;Shuyi Zhang;Hui Huang

  • Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net

    Hongbo Wu;Chris Bailey;Parham Rasoulinejad;Shuo Li

  • Multi-Target Regression via Robust Low-Rank Learning

    Xiantong Zhen;Mengyang Yu;Xiaofei He;Shuo Li

  • Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNet

    Hongbo Wu;Chris Bailey;Parham Rasoulinejad;Shuo Li

  • Direct estimation of spinal cobb angles by structured multi-output regression

    Haoliang Sun;Haoliang Sun;Xiantong Zhen;Chris Bailey;Parham Rasoulinejad

  • Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation

    Xiantong Zhen;Zhijie Wang;Ali Islam;Mousumi Bhaduri

  • A multi-center milestone study of clinical vertebral CT segmentation

    Jianhua Yao;Joseph E. Burns;Daniel Forsberg;Alexander Seitel

  • Motion Tracking of the Carotid Artery Wall From Ultrasound Image Sequences: a Nonlinear State-Space Approach

    Zhifan Gao;Yanjie Li;Yuanyuan Sun;Jiayuan Yang

  • An Automatic Cardiac Arrhythmia Classification System With Wearable Electrocardiogram

    Yufa Xia;Huailing Zhang;Lin Xu;Zhifan Gao

  • Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture.

    Chenchu Xu;Chenchu Xu;Lei Xu;Zhifan Gao;Shen Zhao

  • Multi-modal vertebrae recognition using Transformed Deep Convolution Network.

    Yunliang Cai;Mark Landis;David T. Laidley;Anat Kornecki

  • Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network.

    Zhan Wu;Gonglei Shi;Yang Chen;Fei Shi

  • Embedding Overlap Priors in Variational Left Ventricle Tracking

    I. Ben Ayed;Shuo Li;I. Ross

  • Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features

    Mariam Afshin;Ismail Ben Ayed;Kumaradevan Punithakumar;Max Law

Frequent Co-Authors

Heye Zhang
Heye Zhang Sun Yat-sen University
Ismail Ben Ayed
Ismail Ben Ayed École de Technologie Supérieure
Xiantong Zhen
Xiantong Zhen University of Amsterdam
Terry M. Peters
Terry M. Peters University of Western Ontario
Adam Krzyżak
Adam Krzyżak Concordia University
Guoyan Zheng
Guoyan Zheng Shanghai Jiao Tong University
Yilong Yin
Yilong Yin Shandong University
Kuanquan Wang
Kuanquan Wang Harbin Institute of Technology
Huazhong Shu
Huazhong Shu Southeast University
Victor S. Sheng
Victor S. Sheng Texas Tech University

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