Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography

Zhang, Kang, Liu, Xiaohong, Shen, Jun, Li, Zhihuan, Sang, Ye, Wu, Xingwang, Zha, Yunfei, Liang, Wenhua +37 more·2020·Cell

Cited by (916)

Items 801–900 of 916

  1. MedPipe: End-to-End Joint Search of Data Augmentation and Neural Architecture for 3D Medical Image Classification
    Xin James He, Xiaowen Chu · 2022
  2. COVID-19 Prediction, Diagnosis and Prevention Through Computer Vision
    Sajid Iqbal, Hareem Ayesha, Muhammad Farooq Khan Niazi, Noor Ayesha, Khawaja Tehseen Ahmad · 2022 · Studies in big data
  3. A practical Deep Learning approach to assist COVID-19 detection based on Chest X-ray images
    Thiago Fellipe Ortiz de Camargo, Paulo Victor dos Santos, Sthefanie Monica Premebida, Guilherme Ribeiro, Mayler Olombrada, Vinicios R. Soares, Rommel Barbosa, Wesley Pacheco Calixto, Cleomar de Sousa Rocha, Cristhiane Gonçalves et al. · 2021 · IEEE Latin American Conference on Computational Intelligence (LA-CCI)
  4. A computed tomography image recognition method of pulmonary nodules
    Ling Guo, Sheng Liu · 2022 · 2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA)
  5. A Shallow Learning Investigation for COVID-19 Classification
    Luca Zedda, Andrea Loddo, Cecilia Di Ruberto · 2022 · Lecture notes in computer science
  6. SSL-MedImNet: Self-Supervised Pre-training of Deep Neural Network for COVID-19 Diagnosis
    Tran Nhat Minh Hoang, Tran The Son, Nguyen Duy Nghiem, Le Minh Tuan · 2022 · Lecture notes on data engineering and communications technologies
  7. Significance of Artificial Intelligence in COVID-19 Detection and Control
    Abhishek Shrivastava, Vijay Kumar Dalla · 2022 · Algorithms for intelligent systems
  8. Well-Aerated Lung and Mean Lung Density Quantified by CT at Discharge to Predict Pulmonary Diffusion Function 5 Months after COVID-19
    Leqing Chen, Feihong Wu, Jia Ming Huang, Jinrong Yang, Wenliang Fan, Zhuang Nie, Hongwei Jiang, Jiazheng Wang, Wenfang Xia, Fan Yang · 2022 · Diagnostics
  9. COVID-19 Radiography Using ConvNets
    Aryaman Gokarn, Khushi Navin Patni, Yuvraj Purohit, Reena Sonkusare · 2022 · International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)
  10. A Tri-light Warning System for Hospitalized COVID-19 Patients: Credibility-based Risk Stratification under Data Shift
    Chuanjun Xu, Qinmei Xu, Li Liu, Mu Zhou, Zijian Xing, Zhen Zhou, Changsheng Zhou, Xiao Li, Rong Wang, Yanjun Wu et al. · 2022 · medRxiv
  11. AI and Point of Care Image Analysis for COVID-19
    Michael T. Roberts, Oz Frank, Shai Bagon, Yonina C. Eldar, Carola‐Bibiane Schönlieb · 2022 · Springer eBooks
  12. COVID-19 Diagnosis with Artificial Intelligence
    Rassa Ghavami Modegh, Ahmad Salimi, Sepehr Ilami, Amir H. Dehqan, Hamed Dashti, Shaghayegh Haghjooy Javanmard, Hossein Ghanaati, Hamid Reza Rabiee · 2022 · Springer series on bio- and neurosystems
  13. An automatic COVID-19 CT segmentation based on Progressive encoder and decoder U-Net++ with attention mechanism
    Xiaokang Ren, Jianwei Yang · 2022 · International Symposium on Artificial Intelligence for Medicine Sciences (ISAIMS)
  14. A CNN Model for Detection of Covid 19 Disease Using Lungs CT - Scan
    Dasu Dasari, Syed Sapura, K. N. V. S. Vijaya Lakshmi · 2022 · International Journal of Advanced Research in Science Communication and Technology
  15. COVID-19 Detection Using Deep Learning Based Medical Image Segmentation
    Sanika Walvekar, Swati V. Shinde · 2022 · Communications in computer and information science
  16. A Novel Machine Learning Framework for Covid-19 Image Classification with Bio-heuristic Optimization
    Prathap Siddavaatam, Reza Sedaghat, Nahid Sahelgozin · 2022 · Lecture notes in computer science
  17. AIAT: Adaptive Iteration Adversarial Training for Robust Pulmonary Nodule Detection
    Guoxing Yang, Xiaohong Liu, Jianyu Shi, Xianchao Zhang, Guangyu Wang · 2022 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  18. AI applications in routine clinical imaging
    Akshayaa Vaidyanathan · 2023
  19. Analysis of High-Resolution CT Images of COVID-19 Patients
    A. Joy Christy, A. Umamakeswari · 2023 · EAI/Springer Innovations in Communication and Computing
  20. Robust framework for COVID-19 identication from a multicenter dataset of chest CT scans
    Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Akbar Shafiee, Faranak Babaki Fard, Konstantinos N. Plataniotis et al. · 2023 · PLoS ONE
  21. Computer-Aided System for COVID-19 Using Semi-supervised-based Ensemble Learning and Reinforcement Learning
    Minghui Liu, Yi Gao Yuan, Meiyi Yang, Hong Pu, Xiaomin Wang, Ming Liu · 2022 · IEEE International Conference on Computer and Communications (ICCC)
  22. COVID-19: artificial intelligence solutions, prediction with country cluster analysis, and time-series forecasting
    Sreekantha Desai Karanam, Rajani Sudhir Kamath, Raja Vittal Rao Kulkarni · 2023 · Elsevier eBooks
  23. Application of Artificial Intelligence Technology in COVID-19 Imaging
    菲 刘 · 2023 · Advances in Clinical Medicine
  24. COVID-19 Classification Using CT Scans with Convolutional Neural Networks
    Pedro Crosara Motta, Paulo César Cortez, Jao Alexandre Lobo Marques · 2023 · Springer eBooks
  25. How deep learning techniques are relevant in a COVID-19 world
    Lucas Jia Chen Liu · 2023 · Applied and Computational Engineering
  26. A Competent Deep Learning Model to Detect COVID-19 Using Chest CT Images
    Somenath Chakraborty, Beddhu Murali · 2023 · Lecture notes in networks and systems
  27. A Survey on COVID-19 Lesion Segmentation Techniques from Chest CT Images
    Kaushiki Roy, Debotosh Bhattacharjee, Ondřej Krejcar · 2023 · Lecture notes in networks and systems
  28. Diagnosis of Covid-19 Via Multi-Layer Multi-Center Graph Attention Network
    Pingkang Li, Haijun Lei, Xuegang Song, Jia Zhao, Jialan Tang, Yukang Lei, Baiying Lei · 2023 · IEEE International Symposium on Biomedical Imaging (ISBI)
  29. COVID-19 severity stratification using quantitative computed tomography analysis
    Akın Çinkooğlu, Habib Ahmad Esmat, Mustafa Bozdağ, Selen Bayraktaroğlu, Naim Ceylan, Mehmet Soylu, Recep Savaş · 2023 · Ege Tıp Dergisi
  30. Deep Learning Approach for Advanced COVID-19 Analysis
    Rania Alhalaseh, Mohammad Ali Abbadi, Sura Kassasbeh · 2023 · International Journal of Innovative Technology and Exploring Engineering
  31. Parenting Patterns in Nurturing Children's Character in the Era of Covid-19
    Adam Mudinillah, Lusiana Rahmadani Putri · 2023 · AGENDA Jurnal Analisis Gender dan Agama
  32. COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism
    Yunlong Sun, Yiyao Liu, Junlong Qu, Dong Xiang, Xuegang Song, Baiying Lei · 2023 · Lecture notes in computer science
  33. COVID-19
    Sudipto Saha, Sreyashi Majumdar, Parthasarathi Bhattacharyya · 2023 · Springer eBooks
  34. MedPipe: End-to-End Joint Search of Data Augmentation and Neural Architecture for 3D Medical Image Classification
    Xiaowen Chu, Xin He · 2023
  35. A Multi-modality Driven Promptable Transformer for Automated Parapneumonic Effusion Staging
    Yan Chen, Qing Liu, Yao Xiang · 2023 · Lecture notes in computer science
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    Sam Hermansyah · 2023 · Al-Hijr Journal of Adulearn World
  37. Binary Classification of Medical Images by Symbolic Regression
    Ezekiel Allison · 2024 · Advances in intelligent systems and computing
  38. Artificial intelligence-based quantification of COVID-19 pneumonia burden using chest CT
    Chiara Nardocci, Judit Simon, Bettina Katalin Budai · 2024 · Imaging
  39. A Summary of the Research Methods of Artificial Intelligence in Teaching
    Huiyao Ge, Xiaoxiao Zhu, Xiaoyan Jiang · 2024 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  40. Investigations on Artificial Intelligence with Its Application to Diagnosis of Drug-Resistant Pulmonary Tuberculosis
    Qiuting Zheng, Lin Guo, Fleming Y. M. Lure, Yingyu Huo, Yong Wen Zhong, Wen-feng Wu, Stefan Jaeger · 2023 · Springer eBooks
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    Sai Sunil Kumar RK, M. Ananthi, T. Mangayarkarasi, Jaya Darshini G, U V Kalaivani · 2023 · International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)
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    Garima Mathur, Anjana Pandey, Sachin Goyal · 2023 · IGI Global eBooks
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    Qi Mao, Yan Zhang, Yi Tian, Wenfeng Wang, Lijia Ren, Haibo Li · 2024 · SSRN Electronic Journal
  45. [Identifying Novel Coronavirus Pneumonia With CT Images: A Deep Learning Approach With Detail Upsampling and Attention Guidance].
    Junren Chen, Rui Chen, Jiajun Qiu, Yin Jin, Lei Zhang · 2024 · PubMed Central
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    Abed al Hadi Krisht, Kévin Grapin, Romain Chauvot de Beauchene, Benjamin Bonnet, L. Cassagnes, Bertrand Evrard, Mireille Adda, Bertrand Souweine, Claire Dupuis · 2024 · PLoS ONE
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    Osama Dasa, Chen Bai, Ruba Sajdeya, Stephen E. Kimmel, Carl J. Pepine, Matthew J. Gurka, Reinhard Laubenbacher, Thomas A Pearson, Mamoun Mardini · 2024 · JMIR Public Health and Surveillance
  52. Integration of volumetric visualization of lung tissue affected by COVID-19 based image processing
    Hiba Khalid Hameed, Aws Alazawi, Abbas Fadhal Humadi, Huda Farooq Jameel · 2024 · AIP conference proceedings
  53. Detection of Emerging Infectious Diseases in Lung CT Based on Spatial Anomaly Patterns
    Branko Mitic, Philipp Seeböck, Jennifer Straub, Helmut Prosch, Georg Langs · 2024 · Lecture notes in computer science
  54. Introduction
    Wenmin Wang · 2024 · Springer eBooks
  55. A deep-learning-based diagnostic system for lobar, lobular, and interstitial pneumonia CT patterns
    Jiayue Li, Peishuai Che, Wenyu Yin, Xiaohua Wang, Xiaohe Chen · 2026 · Biomedical Signal Processing and Control
  56. FML loss improves the classification performance of deep learning models for uncertainty pathologies in chest radiographs
    Shenyun Tang · 2024 · International Conference on Smart Healthcare and Wearable Intelligent Devices (SHWID)
  57. Compressed VGGNet for Automatic COVID-19 Disease Detection from CT Scan Images
    R. Vinothini, Niranjana Govindan, Inge Dhamanti, Syifaul Lailiyah, Fitri Yakub · 2024 · IFIP advances in information and communication technology
  58. Development of an Accurate AI/ML-Driven COVID-19 Patient Stratification Model Predicting Disease Outcomes from Disproportionate and Scarce Clinical Datasets
    Maksim Khotimchenko, Yogesh Bundey, Roshan Bhave, Szczepan W. Baran, Kaushik Chakravarty, Jyotika Varshney · 2024 · SSRN Electronic Journal
  59. Deep Learning-Based COVID-19 Detection in CT Images.
    Ilyas Lahsaini, Ismail Hadj Ahmed · 2024 · International Conference on Advances in Electrical and Communication Technologies (ICAECOT)
  60. Revolutionizing Bladder Cancer Detection: Harnessing Advanced AI-Driven Learning Techniques for Enhanced Early Diagnosis and Effective Treatment Strategies
    Gurpreet Singh Panesar, Aman Kaushik, A. Goel · 2024 · 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS)
  61. From pixels to prognosis: Attention‐CNN model for COVID‐19 diagnosis using chest CT images
    S Suba, Nita Parekh · 2025 · IET Image Processing
  62. Impact of COVID-19 Variants Using Multi-Criteria Selection Approach
    Shrddha Sagar, Avadhesh Kumar, Sofia Singh, Garima Shukla, Diwakar Upadhyay · 2024 · International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA)
  63. AI in Medicine: CNN Techniques for Pneumonia and Pandemic Pathogen Identification
    Ganji Ramanjaiah, Nagendar Yamsani, Smritilekha Das, Balajee Maram, Ananda Babu Rudrubati, Katakam Venkateswara Rao · 2024 · International Conference on Advanced Computing & Communication Technologies (ICACCTech)
  64. Deep learning for classification and localization of multiple abnormalities on chest X-ray images
    Abdussalam Elhanashi, Sergio Saponara · 2025 · Elsevier eBooks
  65. Advanced CNN-Based Approaches for COVID-19 Diagnosis and Multiclass Classification: An Experimental Review
    Lalini Chandra, Mithilesh Atulkar, Priyanka Tripathi · 2025 · International Conference on Ambient Intelligence in Health Care (ICAIHC)
  66. An effective COVID-19 diagnosis and clinical guidelines management system
    Rusul Faiq Zidan, Triva Fawzi Ibrahim, Khamis A. Zidan · 2025 · AIP conference proceedings
  67. Application of deep learning to automated diagnosis of computed tomography images of pulmonary infections
    Beibei Meng, Changyu Lei, Qingjia Chi, Zhenhong Hu, Haichao Liu, Congzheng Mao, Ai Guoping, Fang Yao · 2025 · Research Square
  68. MFTrans: An Extensible Transformer-Based Medical Multimodal Data Fusion Method for Clinical Diagnosis
    Xinlong Liu, Chunping Li · 2025 · Communications in computer and information science
  69. Identification of Interstitial Lung Disease: Breaking Barriers with SB-ID Net
    Somrita Bakshi, Sarbani Palit, Ujjwal Bhattacharya, Saumitra Baksi · 2025 · Communications in computer and information science
  70. Optimising strategies for artificial intelligence-assisted classification of viral pneumonias on CT imaging: a comparative study of selective and default approaches
    Francesco Rizzetto, Luca Berta, Giulia Zorzi, Francesca Travaglini, Diana Artioli, Luca Alessandro Carbonaro, Silvia Nerini Molteni, Chiara Vismara, A. Torresin, Paola Enrica Colombo et al. · 2025 · Polish Journal of Radiology
  71. Advancing automated diagnosis of active pulmonary tuberculosis in multi-center settings through domain generalization and multi-scale convolution fusion
    Zhangxin Hong, Mudan Zhang, Bangkang Fu, Zhenliang Xiong, Rongpin Wang · 2025 · Biomedical Signal Processing and Control
  72. Telemedicine
    Zhe Liu, Yu Shi, Wei He · 2025 · Elsevier eBooks
  73. Explainable COVID-19 Diagnosis from CT Images Using Grad-CAM and LIME with a Custom CNN
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  74. An interpretable machine learning approach to prognosis of melioidosis pneumonia via computed tomography quantification and clinical data
    Yehua Wu, Yuefu Zhan, Dehuai He, Shixuan Zhao, Yang Chen, Hua Yang, Hong Zhou Lu · 2025 · Scientific Reports
  75. Consolidation-to-ground-glass opacity ratio on chest CT as a prognostic marker for critical outcomes in COVID-19: a retrospective cohort study
    Hiromu Tanaka, Naoya Tanabe, Shotaro Chubachi, Tomoki Maetani, Yusuke Shiraishi, Ho Namkoong, Takanori Asakura, Takashi Shimada, Shuhei Azekawa, Shiro Otake et al. · 2025 · BMC Pulmonary Medicine
  76. Hybrid CNN-ViT with ICD-U-Net for COVID-19 Detection and Classification
    G Ashwini, Tirumala Ramashri, Mohammad Rasheed Ahmed · 2025 · IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)
  77. Additional file 1 of Quantitative CT for detecting COVID‑19 pneumonia in suspected cases
    Lu, Weiping, Wei, Jianguo, Xu, Tingting, Ding, Miao, Li, Xiaoyan, He, Mengxue, Chen, Kai, Yang, Xiaodan, She, Huiyuan, Huang, Bingcang · 2021 · Figshare
  78. Additional file 1 of Semi-supervised COVID-19 CT image segmentation using deep generative models
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  79. Additional file 1 of Artificial intelligence-based analysis of the spatial distribution of abnormal computed tomography patterns in SARS-CoV-2 pneumonia: association with disease severity
    Kataoka, Yusuke, Naoya Tanabe, Masahiro Shirata, Nobuyoshi Hamao, Oi, Issei, Tomoki Maetani, Shiraishi, Yusuke, Hashimoto, Kentaro, Yamazoe, Masatoshi, Hiroshi Shima et al. · 2024 · Figshare
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  81. Additional file 1 of Automated peripheral nerve segmentation for MR-neurography
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  82. Additional file 1 of Prediction of short-term progression of COVID-19 pneumonia based on chest CT artificial intelligence: during the Omicron epidemic
    Xinjing Lou, Chen Gao, Linyu Wu, Ting Wu, He, Linyang, Jiahao Shen, Meiqi Hua, Xu, Maosheng · 2024 · Figshare
  83. Additional file 1 of Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography – a multicenter retrospective cohort study in Japan
    Tanaka, Hiromu, Tomoki Maetani, Shotaro Chubachi, Naoya Tanabe, Shiraishi, Yusuke, Takanori Asakura, Namkoong, Ho, Shimada, Takashi, Shuhei Azekawa, Shiro Otake et al. · 2023 · Figshare
  84. Early Detection and Classification of Pneumonia and Pulmonary Fibrosis using Deep Learning Algorithms
    Mithun Raja P, Sujitha S, K. Vishal, Gowri.S · 2025 · International Conference on Sustainable Communication Networks and Application (ICSCNA)
  85. Large Language Models Reshaping the Future of Surgery—Advances in the Application of Large Language Models in the Field of Surgery
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