Published on in Vol 22, No 6 (2020): June
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/19569, first published
.
Journals
- Ozsahin I, Sekeroglu B, Musa M, Mustapha M, Uzun Ozsahin D. Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence. Computational and Mathematical Methods in Medicine 2020;2020:1 View
- Tayarani N. M. Applications of artificial intelligence in battling against covid-19: A literature review. Chaos, Solitons & Fractals 2021;142:110338 View
- Wang S, Govindaraj V, Górriz J, Zhang X, Zhang Y. Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network. Information Fusion 2021;67:208 View
- Owais M, Arsalan M, Mahmood T, Kang J, Park K. Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation. Journal of Medical Internet Research 2020;22(11):e18563 View
- Syeda H, Syed M, Sexton K, Syed S, Begum S, Syed F, Prior F, Yu Jr F. Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review. JMIR Medical Informatics 2021;9(1):e23811 View
- Yoo S, Goo J, Yoon S. Role of Chest Radiographs and CT Scans and the Application of Artificial Intelligence in Coronavirus Disease 2019. Journal of the Korean Society of Radiology 2020;81(6):1334 View
- Wei C. Research on university laboratory management and maintenance framework based on computer aided technology. Microprocessors and Microsystems 2020:103617 View
- Sitaula C, Hossain M. Attention-based VGG-16 model for COVID-19 chest X-ray image classification. Applied Intelligence 2021;51(5):2850 View
- Wang S, Nayak D, Guttery D, Zhang X, Zhang Y. COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis. Information Fusion 2021;68:131 View
- Li D, Zhang Q, Tan Y, Feng X, Yue Y, Bai Y, Li J, Li J, Xu Y, Chen S, Xiao S, Sun M, Li X, Zhu F. Prediction of COVID-19 Severity Using Chest Computed Tomography and Laboratory Measurements: Evaluation Using a Machine Learning Approach. JMIR Medical Informatics 2020;8(11):e21604 View
- Xu M, Ouyang L, Han L, Sun K, Yu T, Li Q, Tian H, Safarnejad L, Zhang H, Gao Y, Bao F, Chen Y, Robinson P, Ge Y, Zhu B, Liu J, Chen S. Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach. Journal of Medical Internet Research 2021;23(1):e25535 View
- Elmuogy S, Hikal N, Hassan E. An efficient technique for CT scan images classification of COVID-19. Journal of Intelligent & Fuzzy Systems 2021;40(3):5225 View
- Ho T, Park J, Kim T, Park B, Lee J, Kim J, Kim K, Choi S, Kim Y, Lim J, Choi S. Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study. JMIR Medical Informatics 2021;9(1):e24973 View
- Homayounieh F, Bezerra Cavalcanti Rockenbach M, Ebrahimian S, Doda Khera R, Bizzo B, Buch V, Babaei R, Karimi Mobin H, Mohseni I, Mitschke M, Zimmermann M, Durlak F, Rauch F, Digumarthy S, Kalra M. Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome. Journal of Digital Imaging 2021;34(2):320 View
- Abbasi W, Abbas S, Andleeb S, ul Islam G, Ajaz S, Arshad K, Khalil S, Anjam A, Ilyas K, Saleem M, Chughtai J, Abbas A. COVIDC: An expert system to diagnose COVID-19 and predict its severity using chest CT scans: Application in radiology. Informatics in Medicine Unlocked 2021;23:100540 View
- Rasheed J, Jamil A, Hameed A, Al-Turjman F, Rasheed A. COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review. Interdisciplinary Sciences: Computational Life Sciences 2021;13(2):153 View
- Mohammad-Rahimi H, Nadimi M, Ghalyanchi-Langeroudi A, Taheri M, Ghafouri-Fard S. Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review. Frontiers in Cardiovascular Medicine 2021;8 View
- Han C, Kim M, Kwak J, Ortega-Martorell S. Semi-supervised learning for an improved diagnosis of COVID-19 in CT images. PLOS ONE 2021;16(4):e0249450 View
- Glangetas A, Hartley M, Cantais A, Courvoisier D, Rivollet D, Shama D, Perez A, Spechbach H, Trombert V, Bourquin S, Jaggi M, Barazzone-Argiroffo C, Gervaix A, Siebert J. Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case–control and prospective cohort study. BMC Pulmonary Medicine 2021;21(1) View
- Roberts M, Driggs D, Thorpe M, Gilbey J, Yeung M, Ursprung S, Aviles-Rivero A, Etmann C, McCague C, Beer L, Weir-McCall J, Teng Z, Gkrania-Klotsas E, Ruggiero A, Korhonen A, Jefferson E, Ako E, Langs G, Gozaliasl G, Yang G, Prosch H, Preller J, Stanczuk J, Tang J, Hofmanninger J, Babar J, Sánchez L, Thillai M, Gonzalez P, Teare P, Zhu X, Patel M, Cafolla C, Azadbakht H, Jacob J, Lowe J, Zhang K, Bradley K, Wassin M, Holzer M, Ji K, Ortet M, Ai T, Walton N, Lio P, Stranks S, Shadbahr T, Lin W, Zha Y, Niu Z, Rudd J, Sala E, Schönlieb C. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. Nature Machine Intelligence 2021;3(3):199 View
- Ghaderzadeh M, Asadi F, Maietta S. Deep Learning in the Detection and Diagnosis of COVID-19 Using Radiology Modalities: A Systematic Review. Journal of Healthcare Engineering 2021;2021:1 View
- Chung H, Ko H, Kang W, Kim K, Lee H, Park C, Song H, Choi T, Seo J, Lee J. Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation. Journal of Medical Internet Research 2021;23(4):e27060 View
- Moezzi M, Shirbandi K, Shahvandi H, Arjmand B, Rahim F. The diagnostic accuracy of Artificial Intelligence-Assisted CT imaging in COVID-19 disease: A systematic review and meta-analysis. Informatics in Medicine Unlocked 2021;24:100591 View
- Adamidi E, Mitsis K, Nikita K. Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review. Computational and Structural Biotechnology Journal 2021;19:2833 View
- Helwan A, Ma’aitah M, Hamdan H, Ozsahin D, Tuncyurek O, Bangyal W. Radiologists versus Deep Convolutional Neural Networks: A Comparative Study for Diagnosing COVID-19. Computational and Mathematical Methods in Medicine 2021;2021:1 View
- Alhasan M, Hasaneen M. Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic. Computerized Medical Imaging and Graphics 2021;91:101933 View
- Athavale A, Hart P, Itteera M, Cimbaluk D, Patel T, Alabkaa A, Arruda J, Singh A, Rosenberg A, Kulkarni H. Development and Validation of a Deep Learning Model to Quantify Interstitial Fibrosis and Tubular Atrophy From Kidney Ultrasonography Images. JAMA Network Open 2021;4(5):e2111176 View
- Kumar V, Singh D, Kaur M, Damaševičius R. Overview of current state of research on the application of artificial intelligence techniques for COVID-19. PeerJ Computer Science 2021;7:e564 View
- Rehouma R, Buchert M, Chen Y. Machine learning for medical imaging‐based COVID‐19 detection and diagnosis. International Journal of Intelligent Systems 2021;36(9):5085 View
- Santosh K, Ghosh S. Covid-19 Imaging Tools: How Big Data is Big?. Journal of Medical Systems 2021;45(7) View
- Oyelade O, Ezugwu A, Chiroma H. CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection. IEEE Access 2021;9:77905 View
- Kato S, Ishiwata Y, Aoki R, Iwasawa T, Hagiwara E, Ogura T, Utsunomiya D. Imaging of COVID-19: An update of current evidences. Diagnostic and Interventional Imaging 2021;102(9):493 View
- Arora V, Ng E, Leekha R, Darshan M, Singh A. Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan. Computers in Biology and Medicine 2021;135:104575 View
- CANBAY Y, İSMETOĞLU A, CANBAY P. COVİD-19 HASTALIĞININ TEŞHİSİNDE DERİN ÖĞRENME VE VERİ MAHREMİYETİ. Mühendislik Bilimleri ve Tasarım Dergisi 2021;9(2):701 View
- Dey S, Bhattacharya R, Malakar S, Mirjalili S, Sarkar R. Choquet fuzzy integral-based classifier ensemble technique for COVID-19 detection. Computers in Biology and Medicine 2021;135:104585 View
- Rahman M, Nooruddin S, Hasan K, Dey N. HOG + CNN Net: Diagnosing COVID-19 and Pneumonia by Deep Neural Network from Chest X-Ray Images. SN Computer Science 2021;2(5) View
- Hasan N. A Hybrid Method of Covid-19 Patient Detection from Modified CT-Scan/Chest-X-Ray Images Combining Deep Convolutional Neural Network And Two- Dimensional Empirical Mode Decomposition. Computer Methods and Programs in Biomedicine Update 2021;1:100022 View
- Karthik R, Menaka R, Hariharan M, Kathiresan G. AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions. IRBM 2022;43(5):486 View
- Wang S, Satapathy S, Anderson D, Chen S, Zhang Y. RETRACTED: Deep Fractional Max Pooling Neural Network for COVID-19 Recognition. Frontiers in Public Health 2021;9 View
- Liu J, Zhao J, Zhang L, Miao Y, He W, Shi W, Li Y, Ji B, Zhang K, Jiang Z, Kaluri R. DAFLNet: Dual Asymmetric Feature Learning Network for COVID-19 Disease Diagnosis in X-Rays. Computational and Mathematical Methods in Medicine 2022;2022:1 View
- Meraihi Y, Gabis A, Mirjalili S, Ramdane-Cherif A, Alsaadi F. Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey. SN Computer Science 2022;3(4) View
- Nazir S, Dickson D, Akram M. Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks. Computers in Biology and Medicine 2023;156:106668 View
- Hatamleh W, Tarazi H, Subbalakshmi C, Tiwari B, Hashmi M. Analysis of Chest X-Ray Images for the Recognition of COVID-19 Symptoms Using CNN. Wireless Communications and Mobile Computing 2022;2022:1 View
- Senan E, Alzahrani A, Alzahrani M, Alsharif N, Aldhyani T, Hemanth J. Automated Diagnosis of Chest X-Ray for Early Detection of COVID-19 Disease. Computational and Mathematical Methods in Medicine 2021;2021:1 View
- Demko I, Korchagin E, Cherkashin O, Gordeeva N, Anikin D, Anikina D. Possibilities of information systems for prediction of outcomes of new coronavirus infection COVID-19. Meditsinskiy sovet = Medical Council 2022;(4):42 View
- Rezayi S, Ghazisaeedi M, Kalhori S, Saeedi S. Artificial Intelligence Approaches on X-ray-oriented Images Process for Early Detection of COVID-19. Journal of Medical Signals & Sensors 2022;12(3):233 View
- Roy P, Kumar A. Early prediction of COVID-19 using ensemble of transfer learning. Computers and Electrical Engineering 2022;101:108018 View
- Xu F, Lou K, Chen C, Chen Q, Wang D, Wu J, Zhu W, Tan W, Zhou Y, Liu Y, Wang B, Zhang X, Zhang Z, Zhang J, Sun M, Zhang G, Dai G, Hu H. An original deep learning model using limited data for COVID‐19 discrimination: A multicenter study. Medical Physics 2022;49(6):3874 View
- Hertel R, Benlamri R. Deep Learning Techniques for COVID-19 Diagnosis and Prognosis Based on Radiological Imaging. ACM Computing Surveys 2023;55(12):1 View
- Hassan H, Ren Z, Zhou C, Khan M, Pan Y, Zhao J, Huang B. Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review. Computer Methods and Programs in Biomedicine 2022;218:106731 View
- Özbilge E, Sanlidag T, Ozbilge E, Baddal B. Artificial Intelligence-Assisted RT-PCR Detection Model for Rapid and Reliable Diagnosis of COVID-19. Applied Sciences 2022;12(19):9908 View
- Murillo-González A, González D, Jaramillo L, Galeano C, Tavera F, Mejía M, Hernández A, Rivera D, Paniagua J, Ariza-Jiménez L, Garcés Echeverri J, Diaz León C, Serna-Higuita D, Barrios W, Arrázola W, Mejía M, Arango S, Marín Ramírez D, Salinas-Miranda E, Quintero O. Medical decision support system using weakly-labeled lung CT scans. Frontiers in Medical Technology 2022;4 View
- Khan M, Alhaisoni M, Tariq U, Hussain N, Majid A, Damaševičius R, Maskeliūnas R. COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion. Sensors 2021;21(21):7286 View
- Alizadehsani R, Sharifrazi D, Izadi N, Joloudari J, Shoeibi A, Gorriz J, Hussain S, Arco J, Sani Z, Khozeimeh F, Khosravi A, Nahavandi S, Islam S, Acharya U. Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Transactions on Multimedia Computing, Communications, and Applications 2021;17(3s):1 View
- Irkham I, Ibrahim A, Nwekwo C, Al-Turjman F, Hartati Y. Current Technologies for Detection of COVID-19: Biosensors, Artificial Intelligence and Internet of Medical Things (IoMT): Review. Sensors 2022;23(1):426 View
- Wang R, Ji C, Zhang Y, Li Y. Focus, Fusion, and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation. IEEE Transactions on Neural Networks and Learning Systems 2022;33(1):12 View
- van der Velden B, Kuijf H, Gilhuijs K, Viergever M. Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. Medical Image Analysis 2022;79:102470 View
- Nagaoka T, Kozuka T, Yamada T, Habe H, Nemoto M, Tada M, Abe K, Handa H, Yoshida H, Ishii K, Kimura Y. A Deep Learning System to Diagnose COVID-19 Pneumonia Using Masked Lung CT Images to Avoid AI-generated COVID-19 Diagnoses that Include Data outside the Lungs. Advanced Biomedical Engineering 2022;11(0):76 View
- Negrini D, Danese E, Henry B, Lippi G, Montagnana M. Artificial intelligence at the time of COVID-19: who does the lion’s share?. Clinical Chemistry and Laboratory Medicine (CCLM) 2022;60(12):1881 View
- Park S, Ko T, Park C, Kim Y, Choi I. Deep Learning Model Based on 3D Optical Coherence Tomography Images for the Automated Detection of Pathologic Myopia. Diagnostics 2022;12(3):742 View
- Wang L, Zhang Y, Wang D, Tong X, Liu T, Zhang S, Huang J, Zhang L, Chen L, Fan H, Clarke M. Artificial Intelligence for COVID-19: A Systematic Review. Frontiers in Medicine 2021;8 View
- Min Kim H, Ko T, Young Choi I, Myong J. Asbestosis diagnosis algorithm combining the lung segmentation method and deep learning model in computed tomography image. International Journal of Medical Informatics 2022;158:104667 View
- Wang S, Attique Khan M, Govindaraj V, L. Fernandes S, Zhu Z, Zhang Y. Deep Rank-Based Average Pooling Network for Covid-19 Recognition. Computers, Materials & Continua 2022;70(2):2797 View
- Sri Kavya N, shilpa T, Veeranjaneyulu N, Divya Priya D. Detecting Covid19 and pneumonia from chest X-ray images using deep convolutional neural networks. Materials Today: Proceedings 2022;64:737 View
- Wang S, Fernandes S, Zhu Z, Zhang Y. AVNC: Attention-Based VGG-Style Network for COVID-19 Diagnosis by CBAM. IEEE Sensors Journal 2022;22(18):17431 View
- Xu G, Liu C, Liu J, Ding Z, Shi F, Guo M, Zhao W, Li X, Wei Y, Gao Y, Ren C, Shen D. Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation. IEEE Transactions on Medical Imaging 2022;41(1):88 View
- Jalali Moghaddam M, Ghavipour M. Towards smart diagnostic methods for COVID-19: Review of deep learning for medical imaging. IPEM-Translation 2022;3-4:100008 View
- Javidi M, Abbaasi S, Naybandi Atashi S, Jampour M. COVID-19 early detection for imbalanced or low number of data using a regularized cost-sensitive CapsNet. Scientific Reports 2021;11(1) View
- A-Alam N, Khan M, Nasir M. Using fused Contourlet transform and neural features to spot COVID19 infections in CT scan images. Intelligent Systems with Applications 2023;17:200182 View
- Chen J, Li Y, Guo L, Zhou X, Zhu Y, He Q, Han H, Feng Q. Machine learning techniques for CT imaging diagnosis of novel coronavirus pneumonia: a review. Neural Computing and Applications 2024;36(1):181 View
- Abugabah A, Mehmood A, Ali AL Zubi A, Sanzogni L. Smart COVID-3D-SCNN: A Novel Method to Classify X-ray Images of COVID-19. Computer Systems Science and Engineering 2022;41(3):997 View
- Pintelas E, Pintelas P. A 3D-CAE-CNN model for Deep Representation Learning of 3D images. Engineering Applications of Artificial Intelligence 2022;113:104978 View
- Siddiqui S, Arifeen M, Hopgood A, Good A, Gegov A, Hossain E, Rahman W, Hossain S, Al Jannat S, Ferdous R, Masum S. Deep Learning Models for the Diagnosis and Screening of COVID-19: A Systematic Review. SN Computer Science 2022;3(5) View
- Ishiwata Y, Miura K, Kishimoto M, Nomura K, Sawamura S, Magami S, Ikawa M, Yamashiro T, Utsunomiya D. Comparison of CO-RADS Scores Based on Visual and Artificial Intelligence Assessments in a Non-Endemic Area. Diagnostics 2022;12(3):738 View
- Teodoro A, Silva D, Saadi M, Okey O, Rosa R, Otaibi S, Rodríguez D. An Analysis of Image Features Extracted by CNNs to Design Classification Models for COVID-19 and Non-COVID-19. Journal of Signal Processing Systems 2023;95(2-3):101 View
- Al Rahhal M, Bazi Y, Jomaa R, AlShibli A, Alajlan N, Mekhalfi M, Melgani F. COVID-19 Detection in CT/X-ray Imagery Using Vision Transformers. Journal of Personalized Medicine 2022;12(2):310 View
- Yaşar H, Ceylan M, Cebeci H, Kılınçer A, Kanat F, Koplay M. A novel study to increase the classification parameters on automatic three-class COVID-19 classification from CT images, including cases from Turkey. Journal of Experimental & Theoretical Artificial Intelligence 2024;36(4):563 View
- Ko H, Huh J, Kim K, Chung H, Ko Y, Kim J, Lee J, Lee J. A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation. Journal of Medical Internet Research 2022;24(1):e34415 View
- Ho T, Kim G, Kim T, Choi S, Park E. Classification of rotator cuff tears in ultrasound images using deep learning models. Medical & Biological Engineering & Computing 2022;60(5):1269 View
- Shankar K, Perumal E, Díaz V, Tiwari P, Gupta D, Saudagar A, Muhammad K. An optimal cascaded recurrent neural network for intelligent COVID-19 detection using Chest X-ray images. Applied Soft Computing 2021;113:107878 View
- Fusco R, Grassi R, Granata V, Setola S, Grassi F, Cozzi D, Pecori B, Izzo F, Petrillo A. Artificial Intelligence and COVID-19 Using Chest CT Scan and Chest X-ray Images: Machine Learning and Deep Learning Approaches for Diagnosis and Treatment. Journal of Personalized Medicine 2021;11(10):993 View
- Abiyev R, Ismail A, Ahmadian A. COVID-19 and Pneumonia Diagnosis in X-Ray Images Using Convolutional Neural Networks. Mathematical Problems in Engineering 2021;2021:1 View
- Liang H, Guo Y, Chen X, Ang K, He Y, Jiang N, Du Q, Zeng Q, Lu L, Gao Z, Li L, Li Q, Nie F, Ding G, Huang G, Chen A, Li Y, Guan W, Sang L, Xu Y, Chen H, Chen Z, Li S, Zhang N, Chen Y, Huang D, Li R, Li J, Cheng B, Zhao Y, Li C, Xiong S, Wang R, Liu J, Wang W, Huang J, Cui F, Xu T, Lure F, Zhan M, Huang Y, Yang Q, Dai Q, Liang W, He J, Zhong N. Artificial intelligence for stepwise diagnosis and monitoring of COVID-19. European Radiology 2022;32(4):2235 View
- Khan A, Khan S, Saif M, Batool A, Sohail A, Waleed Khan M. A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron. Journal of Experimental & Theoretical Artificial Intelligence 2024;36(8):1779 View
- Ren Q, Zhou B, Tian L, Guo W. Detection of COVID-19 With CT Images Using Hybrid Complex Shearlet Scattering Networks. IEEE Journal of Biomedical and Health Informatics 2022;26(1):194 View
- Florescu L, Streba C, Şerbănescu M, Mămuleanu M, Florescu D, Teică R, Nica R, Gheonea I. Federated Learning Approach with Pre-Trained Deep Learning Models for COVID-19 Detection from Unsegmented CT images. Life 2022;12(7):958 View
- Fallahpoor M, Chakraborty S, Heshejin M, Chegeni H, Horry M, Pradhan B. Generalizability assessment of COVID-19 3D CT data for deep learning-based disease detection. Computers in Biology and Medicine 2022;145:105464 View
- Alhaj T, Idris I, Elhaj F, Elhassan T, Remli M, Siraj M, Mohd Rahim M. Preliminary Stages for COVID-19 Detection Using Image Processing. Diagnostics 2022;12(12):3171 View
- Lasker A, Obaidullah S, Chakraborty C, Roy K. Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review. SN Computer Science 2022;4(1) View
- Sufian M, Moung E, Hijazi M, Yahya F, Dargham J, Farzamnia A, Sia F, Mohd Naim N. COVID-19 Classification through Deep Learning Models with Three-Channel Grayscale CT Images. Big Data and Cognitive Computing 2023;7(1):36 View
- Derevitskii I, Mramorov N, Usoltsev S, Kovalchuk S. Hybrid Bayesian Network-Based Modeling: COVID-19-Pneumonia Case. Journal of Personalized Medicine 2022;12(8):1325 View
- Shiri I, Arabi H, Salimi Y, Sanaat A, Akhavanallaf A, Hajianfar G, Askari D, Moradi S, Mansouri Z, Pakbin M, Sandoughdaran S, Abdollahi H, Radmard A, Rezaei‐Kalantari K, Ghelich Oghli M, Zaidi H. COLI‐Net: Deep learning‐assisted fully automated COVID‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images. International Journal of Imaging Systems and Technology 2022;32(1):12 View
- Mulrenan C, Rhode K, Fischer B. A Literature Review on the Use of Artificial Intelligence for the Diagnosis of COVID-19 on CT and Chest X-ray. Diagnostics 2022;12(4):869 View
- Li S, Liu Y, Kumar V. Deep Learning-Based Mental Health Model on Primary and Secondary School Students’ Quality Cultivation. Computational Intelligence and Neuroscience 2022;2022:1 View
- Lan T, Cai Z, Ye B. A Novel Spline Algorithm Applied to COVID-19 Computed Tomography Image Reconstruction. IEEE Transactions on Industrial Informatics 2022;18(11):7804 View
- Chen D. Analysis of Machine Learning Methods for COVID-19 Detection Using Serum Raman Spectroscopy. Applied Artificial Intelligence 2021;35(14):1147 View
- Yang L, Wang S, Zhang Y. EDNC: Ensemble Deep Neural Network for COVID-19 Recognition. Tomography 2022;8(2):869 View
- Tzeng I, Hsieh P, Su W, Hsieh T, Chang S. Artificial Intelligence-Assisted Chest X-ray for the Diagnosis of COVID-19: A Systematic Review and Meta-Analysis. Diagnostics 2023;13(4):584 View
- Wang Y, Tsai D, Yen L, Yao Y, Chiang T, Chiu C, Lin T, Yeh K, Chang F. Clinical Characteristics of COVID-19 Patients and Application to an Artificial Intelligence System for Disease Surveillance. Journal of Clinical Medicine 2022;11(5):1437 View
- Aria M, Nourani E, Golzari Oskouei A, Liu J. ADA-COVID: Adversarial Deep Domain Adaptation-Based Diagnosis of COVID-19 from Lung CT Scans Using Triplet Embeddings. Computational Intelligence and Neuroscience 2022;2022:1 View
- Monday H, Li J, Nneji G, Nahar S, Hossin M, Jackson J, Ejiyi C. COVID-19 Diagnosis from Chest X-ray Images Using a Robust Multi-Resolution Analysis Siamese Neural Network with Super-Resolution Convolutional Neural Network. Diagnostics 2022;12(3):741 View
- Hasan M, Jawad M, Hasan K, Partha S, Masba M, Saha S, Moni M. COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing. Informatics in Medicine Unlocked 2021;26:100709 View
- Arco J, Ortiz A, Ramírez J, Zhang Y, Górriz J. Tiled Sparse Coding in Eigenspaces for Image Classification. International Journal of Neural Systems 2022;32(03) View
- Liu J, Sun W, Zhao X, Zhao J, Jiang Z. Deep feature fusion classification network (DFFCNet): Towards accurate diagnosis of COVID-19 using chest X-rays images. Biomedical Signal Processing and Control 2022;76:103677 View
- Costa Y, Silva S, Teixeira L, Pereira R, Bertolini D, Britto A, Oliveira L, Cavalcanti G. COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers. Sensors 2022;22(19):7303 View
- Bhosale Y, Patnaik K. Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review. Neural Processing Letters 2023;55(3):3551 View
- Li W, Deng X, Zhao H, Shao H, Jiang Y. COVID-19 diagnosis prediction using classical-to-quantum ensemble model with transfer learning for CT scan images. The Imaging Science Journal 2021;69(5-8):319 View
- Liao J, Liu L, Duan H, Huang Y, Zhou L, Chen L, Wang C. Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation. JMIR Medical Informatics 2022;10(3):e28880 View
- Akl A, Hosny K, Fouda M, Salah A, Son L. A hybrid CNN and ensemble model for COVID-19 lung infection detection on chest CT scans. PLOS ONE 2023;18(3):e0282608 View
- Liu J, Feng Q, Miao Y, He W, Shi W, Jiang Z. COVID-19 disease identification network based on weakly supervised feature selection. Mathematical Biosciences and Engineering 2023;20(5):9327 View
- Karbasi Z, Gohari S, Sabahi A. Bibliometric analysis of the use of artificial intelligence in COVID‐19 based on scientific studies. Health Science Reports 2023;6(5) View
- Dabbagh R, Jamal A, Bhuiyan Masud J, Titi M, Amer Y, Khayat A, Alhazmi T, Hneiny L, Baothman F, Alkubeyyer M, Khan S, Temsah M. Harnessing Machine Learning in Early COVID-19 Detection and Prognosis: A Comprehensive Systematic Review. Cureus 2023 View
- Mano L, Torres A, Morales A, Cruz C, Cardoso F, Alves S, Faria C, Lanzillotti R, Cerceau R, da Costa R, Figueiredo K, Werneck V. Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period. International Journal of Computational Intelligence Systems 2023;16(1) View
- Yamada A, Kamagata K, Hirata K, Ito R, Nakaura T, Ueda D, Fujita S, Fushimi Y, Fujima N, Matsui Y, Tatsugami F, Nozaki T, Fujioka T, Yanagawa M, Tsuboyama T, Kawamura M, Naganawa S. Clinical applications of artificial intelligence in liver imaging. La radiologia medica 2023;128(6):655 View
- Shu L, Zhong K, Chen N, Gu W, Shang W, Liang J, Ren J, Hong H. Predicting the severity of white matter lesions among patients with cerebrovascular risk factors based on retinal images and clinical laboratory data: a deep learning study. Frontiers in Neurology 2023;14 View
- CİVİL D, OZTİMUR KARADAG O. X-RAY GÖĞÜS GÖRÜNTÜLERİNİN GÖRÜNTÜ DÖNÜŞTÜRÜCÜLER İLE SINIFLANDIRILMASI VE COVİD-19 TESPİTİ. Uludağ University Journal of The Faculty of Engineering 2023:349 View
- Zhang J, Liu Y, Lei B, Sun D, Wang S, Zhou C, Ding X, Chen Y, Chen F, Wang T, Huang R, Chen K. GIONet: Global information optimized network for multi-center COVID-19 diagnosis via COVID-GAN and domain adversarial strategy. Computers in Biology and Medicine 2023;163:107113 View
- Tan M, Xia J, Luo H, Meng G, Zhu Z. Applying the digital data and the bioinformatics tools in SARS-CoV-2 research. Computational and Structural Biotechnology Journal 2023;21:4697 View
- Mohammadian Takaloo V, Hashemzadeh M, Ghavidel Neycharan J. DiagCovidPNA: diagnosing and differentiating COVID-19, viral and bacterial pneumonia from chest X-ray images using a hybrid specialized deep learning approach. Soft Computing 2023 View
- Xie P, Zhao X, He X. Improve the performance of CT-based pneumonia classification via source data reweighting. Scientific Reports 2023;13(1) View
- Talaat M, Si X, Xi J. Multi-Level Training and Testing of CNN Models in Diagnosing Multi-Center COVID-19 and Pneumonia X-ray Images. Applied Sciences 2023;13(18):10270 View
- Lee Y, Shin H, Kim J, Lee J. A Convolutional Neural Network for Classification of Stimuli Based on Stretchable Mechanical Sensor. IEEE Sensors Journal 2023;23(17):20338 View
- Santosh K, GhoshRoy D, Nakarmi S. A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022. Healthcare 2023;11(17):2388 View
- Farhat F, Sohail S, Alam M, Ubaid S, Shakil , Ashhad M, Madsen D. COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control. Frontiers in Artificial Intelligence 2023;6 View
- Hao Y, Zhang C, Li X. DBM-ViT: A multiscale features fusion algorithm for health status detection in CXR / CT lungs images. Biomedical Signal Processing and Control 2024;87:105365 View
- Ahmad I, Merla A, Ali F, Shah B, AlZubi A, AlZubi M. A deep transfer learning approach for COVID-19 detection and exploring a sense of belonging with Diabetes. Frontiers in Public Health 2023;11 View
- Budak C, Mençik V, Varışlı O. Online diagnosis of COVID-19 from chest radiography images by using deep learning algorithms. Neural Computing and Applications 2023;35(28):20717 View
- Saha P, Nadeem S, Comellas A. A survey on artificial intelligence in pulmonary imaging. WIREs Data Mining and Knowledge Discovery 2023;13(6) View
- Pandey K. A Deep Learning based Solution (Covi-DeteCT) Amidst COVID-19. Current Medical Imaging Formerly Current Medical Imaging Reviews 2022;19(5):510 View
- Pintelas E, Livieris I, Pintelas P. Explainable Feature Extraction and Prediction Framework for 3D Image Recognition Applied to Pneumonia Detection. Electronics 2023;12(12):2663 View
- Hou Y, Navarro-Cía M. A computationally-inexpensive strategy in CT image data augmentation for robust deep learning classification in the early stages of an outbreak. Biomedical Physics & Engineering Express 2023;9(5):055003 View
- Amin J, Almas Anjum M, Gul N, Imran Sharif M, Irfan Sharif M, Kadry S. Localization model and rank-based features selection approach for the classification of GGO and consolidation stages of COVID-19. Expert Systems with Applications 2024;239:122317 View
- Zhang Y, Pei Y, Górriz J. SCNN: A Explainable Swish-based CNN and Mobile App for COVID-19 Diagnosis. Mobile Networks and Applications 2023;28(5):1936 View
- Mehrdad S, Shamout F, Wang Y, Atashzar S. Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs. Scientific Reports 2023;13(1) View
- Sreelakshmi S, Anoop V. A deep convolutional neural network model for medical data classification from computed tomography images. Expert Systems 2023 View
- Negreiros R, Silva I, Alves A, Valadares D, Perkusich A, Baptista C. COVID-19 Diagnosis Through Deep Learning Techniques and Chest X-Ray Images. SN Computer Science 2023;4(5) View
- Arunachalam A, Ravi V, Acharya V, Pham T. Toward Data-Model-Agnostic Autonomous Machine-Generated Data Labeling and Annotation Platform: COVID-19 Autoannotation Use Case. IEEE Transactions on Engineering Management 2023;70(8):2695 View
- Archana K, Kaur A, Gulzar Y, Hamid Y, Mir M, Soomro A. Deep learning models/techniques for COVID-19 detection: a survey. Frontiers in Applied Mathematics and Statistics 2023;9 View
- Nur-A-Alam M, Nasir M, Ahsan M, Based M, Haider J, Kowalski M. Ensemble classification of integrated CT scan datasets in detecting COVID-19 using feature fusion from contourlet transform and CNN. Scientific Reports 2023;13(1) View
- Jalloul M, Alkhulaifat D, Miranda-Schaeubinger M, De Leon Benedetti L, Otero H, Dako F. Artificial Intelligence in Chest Radiology: Advancements and Applications for Improved Global Health Outcomes. Current Pulmonology Reports 2024;13(1):1 View
- Shoeibi A, Khodatars M, Jafari M, Ghassemi N, Sadeghi D, Moridian P, Khadem A, Alizadehsani R, Hussain S, Zare A, Sani Z, Khozeimeh F, Nahavandi S, Acharya U, Gorriz J. Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing 2024;577:127317 View
- Hijazi M, Abdul Yazid N, Nohuddin P, Abdul Karim S, Syed Zainol Abidin S, Skala V. COVID-19 Detection using Deep Learning Classifiers with Histogram Equalization and Contour-Based X-Ray Images. ITM Web of Conferences 2024;63:01006 View
- Miah M, Venkatraman S. Artificial Intelligence for Early Detection and Diagnosis of COVID-19: Immense Potential of a Powerful Technology. Journal of Health Management 2024;26(2):369 View
- Xi Y, Zhang N, Li B. Small data-driven semantic segmentation of wear debris in ferrography images. Measurement Science and Technology 2024;35(6):066006 View
- Zaeri N. Artificial intelligence and machine learning responses to COVID-19 related inquiries. Journal of Medical Engineering & Technology 2023;47(6):301 View
- Singh K, Kaur N, Prabhu A. Combating COVID-19 Crisis using Artificial Intelligence (AI) Based Approach: Systematic Review. Current Topics in Medicinal Chemistry 2024;24(8):737 View
- Pravin S, Rohith G, V K, Saranya J, Latha B, Vigneshwar K, Krishna S, Nambirajan H, Sumitra Y. PixNet for early diagnosis of COVID-19 using CT images. Multimedia Tools and Applications 2024 View
- Kule D, Elezaj O, Mehtre U. Socio-economic Challenges in COVID Detection using Transfer Learning-Based Methods. WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 2024;21:216 View
- Pradeep K, Vemuri R, N V. A Novel Approach to detect COVID-19 from chest X-ray images using CNN. International Journal of Computer Communication and Informatics 2023;5(1):51 View
- Ismetoglu A, Canbay Y. Detection of Covid‐19 disease by using privacy‐aware artificial intelligence system. SECURITY AND PRIVACY 2024;7(6) View
- Ahuja V, Nair L. Artificial Intelligence and technology in COVID Era. Journal of Anaesthesiology Clinical Pharmacology 2021;37(1):28 View
- Smilianets F, Finogenov O. Review of disease identification methods based on computed tomography imagery. Ukrainian Journal of Information Technology 2024;6(1):95 View
- Bhati D, Neha F, Amiruzzaman M. A Survey on Explainable Artificial Intelligence (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging. Journal of Imaging 2024;10(10):239 View
- Nanda M, Amaru K, Rosalinda S, Novianty I, Sholihah W, Mindara G, Faricha A, Park T. Higuchi fractal dimension and deep learning on near-infrared spectroscopy for determination of free fatty acid (FFA) content in oil palm fruit. Journal of Agriculture and Food Research 2024;18:101437 View
- Buriboev A, Muhamediyeva D, Primova H, Sultanov D, Tashev K, Jeon H. Concatenated CNN-Based Pneumonia Detection Using a Fuzzy-Enhanced Dataset. Sensors 2024;24(20):6750 View
- Raman R, Singhania M, Nedungadi P. Advancing the United Nations Sustainable Development Goals Through Digital Health Research: 25 Years of Contributions From the Journal of Medical Internet Research. Journal of Medical Internet Research 2024;26:e60025 View
- Hadj Bouzid A, Berrani S, Yahiaoui S, Belaid A, Belazzougui D, Djouad M, Bensalah K, Belbachir H, Naïli Q, Abdi M, Tliba S. Deep learning-based Covid-19 diagnosis: a thorough assessment with a focus on generalization capabilities. EURASIP Journal on Image and Video Processing 2024;2024(1) View
- Salama G, Mohamed A, Abd-Ellah M. Machine learning and deep learning covid-19 diagnosis system: key achievements, lessons learned, and a transfer learning algorithm. Soft Computing 2024 View
- Chen C, Mat Isa N, Liu X. A review of convolutional neural network based methods for medical image classification. Computers in Biology and Medicine 2025;185:109507 View
Books/Policy Documents
- Sugiura A. Bio-information for Hygiene. View
- Jayashree R. Understanding COVID-19: The Role of Computational Intelligence. View
- Tintín V, Florez H. Computational Science and Its Applications – ICCSA 2021. View
- Zaeri N. Simulation Modeling. View
- Gope B, Kohar R. Proceedings of Data Analytics and Management. View
- Escobar-Linero E, Muñoz-Saavedra L, Luna-Perejón F, Civit-Masot J, Rivas-Pérez M, Domínguez-Morales M, Balcells A. Recent Advancements in Smart Remote Patient Monitoring, Wearable Devices, and Diagnostics Systems. View
- Alquzi S, Alhichri H, Bazi Y. International Conference on Innovative Computing and Communications. View
- Kishore C, Pemula R, Vijaya Kumar S, Rao K, Chandra Sekhar S. Soft Computing: Theories and Applications. View
- Gurcan O, Atici U, Bicer M, Dogan O. Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. View
- Imanov E, Lakshitha Liyanagamage V. 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022. View
- Gunturu L, Dornadula G. Emerging Technologies During the Era of COVID-19 Pandemic. View
- Swapnarekha H, Behera H, Nayak J, Naik B. Computational Intelligence in Pattern Recognition. View
- Gunturu L, Dornadula G. Computational Intelligence for COVID-19 and Future Pandemics. View
- Grönvall E, Lundberg S. Pervasive Computing Technologies for Healthcare. View
- Hazela B, Khalid S, Asthana P. Medical Imaging and Health Informatics. View
- Motta P, Cesar Cortez P, Lobo Marques J. Computerized Systems for Diagnosis and Treatment of COVID-19. View
- Balavand A, Pahlevani S. Optimization Methods for Product and System Design. View
- Kumar A, Roy P, Mishra A, Das S. Big Data, Machine Learning, and Applications. View
- Vignesh U, Ratnakumar R. Bio-Inspired Optimization Techniques in Blockchain Systems. View