Yu-Dong Zhang (Yudong Zhang)

ResearcherID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 64

Top Venues

Technology in cancer research & treatment

Biomimetics (Basel, Switzerland)

Journal of imaging

IEEE open journal of engineering in medicine and biology

Nanjing Normal University

Southeast University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Nanjing Normal University Jun 01 2013 - Jul 31 2017

China

Faculty/Professor :: School of Computer Science and Technology

Columbia University Medical Center Apr 01 2012 - Jun 01 2013

United States

Assistant Research Scientist :: Child Psychiatry

Columbia University Medical Center Apr 01 2010 - Apr 01 2012

United States

Postdoc :: Child Psychiatry

Education History

Southeast University Mar 01 2007 - Mar 01 2010

China

PHD :: School of Information Science and Engineering

Nanjing University of Aeronautics and Astronautics Sep 01 2000 - Jul 01 2004

China

BSC :: School of Information Science

Publications

Yu-Dong Zhang
Guest Editorial Introduction to the Special Section on Weakly-Supervised Deep Learning and Its Applications. IEEE open journal of engineering in medicine and biology 5 (2024)
Zeyu Ren, Yu-Dong Zhang, Shuihua Wang
Large Foundation Model for Cancer Segmentation. Technology in cancer research & treatment 23 (2024)
Zhe Liu, Zichen Li, Yu-Dong Zhang, Anthony N Mutukumira, Yichen Feng, Yangjie Cui, Shuzhe Wang, Jiaji Wang, Shuihua Wang
Comparing Business, Innovation, and Platform Ecosystems: A Systematic Review of the Literature. Biomimetics (Basel, Switzerland) 9 (4) (2024)
Zhe Liu, Zichen Li, Yu-Dong Zhang, Anthony N Mutukumira, Yichen Feng, Yangjie Cui, Shuzhe Wang, Jiaji Wang, Shuihua Wang
Comparing Business, Innovation, and Platform Ecosystems: A Systematic Review of the Literature. Biomimetics (Basel, Switzerland) 9 (4) (2024)
Yu-Dong Zhang
Guest Editorial Introduction to the Special Section on Weakly-Supervised Deep Learning and Its Applications. IEEE open journal of engineering in medicine and biology 5 (2024)
Zeyu Ren, Yu-Dong Zhang, Shuihua Wang
Large Foundation Model for Cancer Segmentation. Technology in cancer research & treatment 23 (2024)
Zhe Liu, Zichen Li, Yu-Dong Zhang, Anthony N Mutukumira, Yichen Feng, Yangjie Cui, Shuzhe Wang, Jiaji Wang, Shuihua Wang
Comparing Business, Innovation, and Platform Ecosystems: A Systematic Review of the Literature. Biomimetics (Basel, Switzerland) 9 (4) (2024)
Zeyu Ren, Xiangyu Kong, Yu-Dong Zhang
UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification. IEEE open journal of engineering in medicine and biology 5 (2023)
Shaiju Panchikkil, Vazhora Malayil Manikandan, Yu-Dong Zhang, Shuihua Wang
A Multi-Directional Pixel-Swapping Approach ( MPSA ) for Entropy-Retained Reversible Data Hiding in Encrypted Images. Entropy (Basel, Switzerland) 25 (4) (2023)
Daniele Roberto Giacobbe, Yu-Dong Zhang, José Miguel Urra
Explainable artificial intelligence and machine learning: novel approaches to face infectious diseases challenges. Annals of medicine 55 (2) (2023)
Yu-Dong Zhang, Jin Hong
Challenges of Deep Learning in Cancers. Technology in cancer research & treatment 22 (2023)
Jiaji Wang, Suresh Chandra Satapathy, Shuihua Wang, Yu-Dong Zhang
LCCNN: a Lightweight Customized CNN-Based Distance Education App for COVID-19 Recognition. Mobile networks and applications : MONET 28 (3) (2023)
Shui-Hua Wang, Suresh Chandra Satapathy, Man-Xia Xie, Yu-Dong Zhang
ELUCNN for explainable COVID-19 diagnosis. Soft computing (2023)
Ziquan Zhu, Shui-Hua Wang, Yu-Dong Zhang
ReRNet: A Deep Learning Network for Classifying Blood Cells. Technology in cancer research & treatment 22 (2023)
Xiang Yu, Zeyu Ren, David S Guttery, Yu-Dong Zhang
DF-dRVFL: A novel deep feature based classifier for breast mass classification. Multimedia tools and applications 83 (5) (2023)
Shams Ur Rehman, Muhamamd Attique Khan, Anum Masood, Nouf Abdullah Almujally, Jamel Baili, Majed Alhaisoni, Usman Tariqe, Yu-Dong Zhang
BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images. Diagnostics (Basel, Switzerland) 13 (9) (2023)
Zhe Liu, Shuzhe Wang, Yu-Dong Zhang, Yichen Feng, Jiajia Liu, Hengde Zhu
Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis. Foods (Basel, Switzerland) 12 (6) (2023)
Shaiju Panchikkil, Vazhora Malayil Manikandan, Yu-Dong Zhang, Shuihua Wang
A Multi-Directional Pixel-Swapping Approach ( MPSA ) for Entropy-Retained Reversible Data Hiding in Encrypted Images. Entropy (Basel, Switzerland) 25 (4) (2023)
Shuihua Wang, Hui-Ling Chen, Yu-Dong Zhang
Bionic Artificial Neural Networks in Medical Image Analysis. Biomimetics (Basel, Switzerland) 8 (2) (2023)
Yu-Dong Zhang, Jiaji Wang, Juan-Manuel Gorriz Saez, Shuihua Wang
Deep Learning and Vision Transformer for Medical Image Analysis. Journal of imaging 9 (7) (2023)
Xiang Yu, Zeyu Ren, David S Guttery, Yu-Dong Zhang
DF-dRVFL: A novel deep feature based classifier for breast mass classification. Multimedia tools and applications 83 (5) (2023)
Ziquan Zhu, Shui-Hua Wang, Yu-Dong Zhang
ReRNet: A Deep Learning Network for Classifying Blood Cells. Technology in cancer research & treatment 22 (2023)
Yaoyao Lin, Ali Asghar Heidari, Shuihua Wang, Hui-Ling Chen, Yu-Dong Zhang
An Enhanced Hunger Games Search Optimization with Application to Constrained Engineering Optimization Problems. Biomimetics (Basel, Switzerland) 8 (5) (2023)
Wei Zhu, Zhihui Li, Ali Asghar Heidari, Shuihua Wang, Hui-Ling Chen, Yu-Dong Zhang
An Enhanced RIME Optimizer with Horizontal and Vertical Crossover for Discriminating Microseismic and Blasting Signals in Deep Mines. Sensors (Basel, Switzerland) 23 (21) (2023)
Zhe Liu, Shuzhe Wang, Yu-Dong Zhang, Yichen Feng, Jiajia Liu, Hengde Zhu
Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis. Foods (Basel, Switzerland) 12 (6) (2023)
Jiaji Wang, Suresh Chandra Satapathy, Shuihua Wang, Yu-Dong Zhang
LCCNN: a Lightweight Customized CNN-Based Distance Education App for COVID-19 Recognition. Mobile networks and applications : MONET 28 (3) (2023)
Anitha Rani Inturi, Vazhora Malayil Manikandan, Mahamkali Naveen Kumar, Shui-Hua Wang, Yu-Dong Zhang
Synergistic Integration of Skeletal Kinematic Features for Vision-Based Fall Detection. Sensors (Basel, Switzerland) 23 (14) (2023)
Shams Ur Rehman, Muhamamd Attique Khan, Anum Masood, Nouf Abdullah Almujally, Jamel Baili, Majed Alhaisoni, Usman Tariqe, Yu-Dong Zhang
BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images. Diagnostics (Basel, Switzerland) 13 (9) (2023)
Hongliang Zhang, Zhennao Cai, Lei Xiao, Ali Asghar Heidari, Hui-Ling Chen, Dong Zhao, Shuihua Wang, Yu-Dong Zhang
Face Image Segmentation Using Boosted Grey Wolf Optimizer. Biomimetics (Basel, Switzerland) 8 (6) (2023)
Shui-Hua Wang, Suresh Chandra Satapathy, Man-Xia Xie, Yu-Dong Zhang
ELUCNN for explainable COVID-19 diagnosis. Soft computing (2023)
Masayuki Tsuneki, Yu-Dong Zhang
Novel Applications of Artificial Intelligence in Cancer Research. Technology in cancer research & treatment 22 (2023)
Zeyu Ren, Xiangyu Kong, Yu-Dong Zhang
UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification. IEEE open journal of engineering in medicine and biology 5 (2023)
Ziquan Zhu, Shui-Hua Wang, Yu-Dong Zhang
ReRNet: A Deep Learning Network for Classifying Blood Cells. Technology in cancer research & treatment 22 (2023)
Yu-Dong Zhang, Jin Hong
Challenges of Deep Learning in Cancers. Technology in cancer research & treatment 22 (2023)
Xinxin He, Weifeng Shan, Ruilei Zhang, Ali Asghar Heidari, Hui-Ling Chen, Yu-Dong Zhang
Improved Colony Predation Algorithm Optimized Convolutional Neural Networks for Electrocardiogram Signal Classification. Biomimetics (Basel, Switzerland) 8 (3) (2023)
Yu-Dong Zhang, Jin Hong
Challenges of Deep Learning in Cancers. Technology in cancer research & treatment 22 (2023)
Abdullah Alqahtani, Shtwai Alsubai, Mohamudha Parveen Rahamathulla, Abdu H Gumaei, Mohemmed Sha, Yu-Dong Zhang, Muhammad Attique Khan
Empowering Foot Health: Harnessing the Adaptive Weighted Sub-Gradient Convolutional Neural Network for Diabetic Foot Ulcer Classification. Diagnostics (Basel, Switzerland) 13 (17) (2023)
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang, Yu-Dong Zhang
Deep Learning for Medical Image-Based Cancer Diagnosis. Cancers 15 (14) (2023)
Xue Han, Zuojin Hu, Shuihua Wang, Yu-Dong Zhang
A Survey on Deep Learning in COVID-19 Diagnosis. Journal of imaging 9 (1) (2022)
Lin Yang, Shui-Hua Wang, Yu-Dong Zhang
EDNC: Ensemble Deep Neural Network for COVID-19 Recognition. Tomography (Ann Arbor, Mich.) 8 (2) (2022)
Xiaosheng Wu, Shuangshuang Gao, Junding Sun, Yu-Dong Zhang, Shuihua Wang
Classification of Alzheimer's Disease Based on Weakly Supervised Learning and Attention Mechanism. Brain sciences 12 (12) (2022)
Xue Han, Zuojin Hu, Shuihua Wang, Yu-Dong Zhang
A Survey on Deep Learning in COVID-19 Diagnosis. Journal of imaging 9 (1) (2022)
Kiran Jabeen, Muhammad Attique Khan, Majed Alhaisoni, Usman Tariqe, Yu-Dong Zhang, Ameer Hamza, Artūras Mickus, Robertas Damasevicius
Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion. Sensors (Basel, Switzerland) 22 (3) (2022)
Xiaosheng Wu, Shuangshuang Gao, Junding Sun, Yu-Dong Zhang, Shuihua Wang
Classification of Alzheimer's Disease Based on Weakly Supervised Learning and Attention Mechanism. Brain sciences 12 (12) (2022)
Xue Han, Zuojin Hu, Shuihua Wang, Yu-Dong Zhang
A Survey on Deep Learning in COVID-19 Diagnosis. Journal of imaging 9 (1) (2022)
Xiang Yu, Shui-Hua Wang, Juan-Manuel Gorriz Saez, Xian-Wei Jiang, David S Guttery, Yu-Dong Zhang
PeMNet for Pectoral Muscle Segmentation. Biology 11 (1) (2022)
Xue Han, Zuojin Hu, Shuihua Wang, Yu-Dong Zhang
A Survey on Deep Learning in COVID-19 Diagnosis. Journal of imaging 9 (1) (2022)
Zeyu Ren, Yu-Dong Zhang, Shuihua Wang
LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification. Technology in cancer research & treatment 21 (2022)
Shui-Hua Wang, Suresh Chandra Satapathy, Qinghua Zhou, Xin Zhang, Yu-Dong Zhang
Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder. Journal of grid computing 20 (1) (2021)
Yan Yan, Xu-Jing Yao, Shui-Hua Wang, Yu-Dong Zhang
A Survey of Computer-Aided Tumor Diagnosis Based on Convolutional Neural Network. Biology 10 (11) (2021)
Siyuan Lu, Ziquan Zhu, Juan-Manuel Gorriz Saez, Shui-Hua Wang, Yu-Dong Zhang
NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network. International journal of intelligent systems 37 (2) (2021)
Si-Yuan Lu, Zheng Zhang, Yu-Dong Zhang, Shui-Hua Wang
CGENet: A Deep Graph Model for COVID-19 Detection Based on Chest CT. Biology 11 (1) (2021)
Shui-Hua Wang, Steven Lawrence Fernandes, Ziquan Zhu, Yu-Dong Zhang
AVNC: Attention-Based VGG-Style Network for COVID-19 Diagnosis by CBAM. IEEE sensors journal 22 (18) (2021)
Xu-Jing Yao, Zi-Quan Zhu, Shui-Hua Wang, Yu-Dong Zhang
CSGBBNet: An Explainable Deep Learning Framework for COVID-19 Detection. Diagnostics (Basel, Switzerland) 11 (9) (2021)
Siyuan Lu, Ziquan Zhu, Juan-Manuel Gorriz Saez, Shui-Hua Wang, Yu-Dong Zhang
NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network. International journal of intelligent systems 37 (2) (2021)
Yu-Dong Zhang, Suresh Chandra Satapathy, Xin Zhang, Shui-Hua Wang
COVID-19 Diagnosis via DenseNet and Optimization of Transfer Learning Setting. Cognitive computation (2021)
Siyuan Lu, Ziquan Zhu, Juan-Manuel Gorriz Saez, Shui-Hua Wang, Yu-Dong Zhang
NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network. International journal of intelligent systems 37 (2) (2021)
Shui-Hua Wang, Yin Zhang, Xiaochun Cheng, Xin Zhang, Yu-Dong Zhang
PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation. Computational and mathematical methods in medicine 2021 (2021)
Yu-Dong Zhang, Juan Manuel Gorriz, Zhengchao Dong
Deep Learning in Medical Image Analysis. Journal of imaging 7 (4) (2021)
Beiwei Zhang, Yu-Dong Zhang, Jinliang Liu, Bin Wang
FGFF Descriptor and Modified Hu Moment-Based Hand Gesture Recognition. Sensors (Basel, Switzerland) 21 (19) (2021)
Yu-Dong Zhang, Suresh Chandra Satapathy, Di Wu, David S Guttery, Juan Manuel Górriz, Shui-Hua Wang
Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling. Complex & intelligent systems 7 (3) (2020)
Yu-Dong Zhang, Suresh Chandra Satapathy, Li-Yao Zhu, Juan-Manuel Gorriz Saez, Shui-Hua Wang
A Seven-Layer Convolutional Neural Network for Chest CT-Based COVID-19 Diagnosis Using Stochastic Pooling. IEEE sensors journal 22 (18) (2020)
Shipeng Xie, Xinyu Zheng, Yang Chen, Lizhe Xie, Jin Liu, Yu-Dong Zhang, Jingjie Yan, Hu Zhu, Yining Hu
Artifact Removal using Improved GoogLeNet for Sparse-view CT Reconstruction. Scientific reports 8 (1) (2018)
Shui-Hua Wang, Hong Cheng, Preetha Phillips, Yu-Dong Zhang
Multiple Sclerosis Identification Based on Fractional Fourier Entropy and a Modified Jaya Algorithm. Entropy (Basel, Switzerland) 20 (4) (2018)
Yu-Dong Zhang, Bradley S Peterson, Genlin Ji, Zhengchao Dong
Energy preserved sampling for compressed sensing MRI. Computational and mathematical methods in medicine 2014 (2014)
Yi Sun, Qiaoyan Wen, Yu-Dong Zhang, Hua Zhang, Zhengping Jin, Wenmin Li
Two-cloud-servers-assisted secure outsourcing multiparty computation. TheScientificWorldJournal 2014 (2014)
Yu-Dong Zhang, Saeed Balochian, Vishal Bhatnagar
Emerging trends in soft computing models in bioinformatics and biomedicine. TheScientificWorldJournal 2014 (2014)

Yu-Dong Zhang.css-eqlu8i{font-size:small;padding-left:4px;} (Yudong Zhang)

Publication Activity (10 Years)

Top Topics

Top Venues

Yu-Dong Zhang (Yudong Zhang)