Published on in Vol 20, No 10 (2018): October
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/11936, first published
.
Journals
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- Sitaru S, Zink A. Digitalisierung in der Dermatoonkologie: künstliche Intelligenz zur Diagnostik. best practice onkologie 2023;18(1-2):20 View
- Vishwajeet Jadhav , Shivani Mane , Pranay Allepally , Neha Sonawane , Prof. Santosh Kale . Effect of Image Enhancement on Early Detection of Skin Cancer. International Journal of Advanced Research in Science, Communication and Technology 2022:11 View
- Snyder A, Zhang D, Dreesen S, Baltimore C, Lopez-Garcia D, Akers J, Metts C, Madory J, Chang P, Doan L, Elston D, Valdebran M, Luo F, Forcucci J. Histologic Screening of Malignant Melanoma, Spitz, Dermal and Junctional Melanocytic Nevi Using a Deep Learning Model. The American Journal of Dermatopathology 2022;44(9):650 View
- Huang K, Jiang Z, Li Y, Wu Z, Wu X, Zhu W, Chen M, Zhang Y, Zuo K, Li Y, Yu N, Liu S, Huang X, Su J, Yin M, Qian B, Wang X, Chen X, Zhao S. The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence. Journal of Medical Internet Research 2021;23(9):e26025 View
- Mujahid M, Rustam F, Álvarez R, Luis Vidal Mazón J, Díez I, Ashraf I. Pneumonia Classification from X-ray Images with Inception-V3 and Convolutional Neural Network. Diagnostics 2022;12(5):1280 View
- Kshatri S, Singh D. Convolutional Neural Network in Medical Image Analysis: A Review. Archives of Computational Methods in Engineering 2023;30(4):2793 View
- Huang H, Hsiao Y, Mukundan A, Tsao Y, Chang W, Wang H. Classification of Skin Cancer Using Novel Hyperspectral Imaging Engineering via YOLOv5. Journal of Clinical Medicine 2023;12(3):1134 View
- Pati N, Asish Y, Manoj Kumar K, Prusty M. Oversampled Two-dimensional Deep Learning Model for Septenary Classification of Skin Lesion Disease. National Academy Science Letters 2023;46(2):159 View
- Pacheco A, Krohling R. An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification. IEEE Journal of Biomedical and Health Informatics 2021;25(9):3554 View
- Chalkidou A, Shokraneh F, Kijauskaite G, Taylor-Phillips S, Halligan S, Wilkinson L, Glocker B, Garrett P, Denniston A, Mackie A, Seedat F. Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening. The Lancet Digital Health 2022;4(12):e899 View
- Hussain D, Ali Naqvi R, Loh W, Lee J. Deep Learning in DXA Image Segmentation. Computers, Materials & Continua 2021;66(3):2587 View
- Popescu D, El-Khatib M, El-Khatib H, Ichim L. New Trends in Melanoma Detection Using Neural Networks: A Systematic Review. Sensors 2022;22(2):496 View
- Jones O, Matin R, van der Schaar M, Prathivadi Bhayankaram K, Ranmuthu C, Islam M, Behiyat D, Boscott R, Calanzani N, Emery J, Williams H, Walter F. Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review. The Lancet Digital Health 2022;4(6):e466 View
- Palananda A, Kimpan W. Classification of Adulterated Particle Images in Coconut Oil Using Deep Learning Approaches. Applied Sciences 2022;12(2):656 View
- Park S, Chien A, Lin B, Li K. FACES: A Deep-Learning-Based Parametric Model to Improve Rosacea Diagnoses. Applied Sciences 2023;13(2):970 View
- Saranya S , Vivekanandan S J , Vignesh K , Sai Anand K , Surya Prakash R . Skin Cancer Classification using Tensorflow and Keras. International Journal of Advanced Research in Science, Communication and Technology 2022:916 View
- Duong D, Waikel R, Hu P, Tekendo-Ngongang C, Solomon B. Neural network classifiers for images of genetic conditions with cutaneous manifestations. Human Genetics and Genomics Advances 2022;3(1):100053 View
- Cassidy B, Kendrick C, Brodzicki A, Jaworek-Korjakowska J, Yap M. Analysis of the ISIC image datasets: Usage, benchmarks and recommendations. Medical Image Analysis 2022;75:102305 View
- Mahbod A, Ellinger I. Special Issue on “Advances in Skin Lesion Image Analysis Using Machine Learning Approaches”. Diagnostics 2022;12(8):1928 View
- Lembhe A, Motarwar P, Patil R, Elias S. Enhancement in Skin Cancer Detection using Image Super Resolution and Convolutional Neural Network. Procedia Computer Science 2023;218:164 View
- Ali R, Hardie R, Narayanan B, Kebede T. IMNets: Deep Learning Using an Incremental Modular Network Synthesis Approach for Medical Imaging Applications. Applied Sciences 2022;12(11):5500 View
- Wu M, Wang S, Pan S, Terentis A, Strasswimmer J, Zhu X. Deep learning data augmentation for Raman spectroscopy cancer tissue classification. Scientific Reports 2021;11(1) View
- Hasan M, Elahi M, Alam M, Jawad M, Martí R. DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation. Informatics in Medicine Unlocked 2022;28:100819 View
- Aishwarya A , Prabhudeva S . Detection of Skin Cancer Based on Image Processing using Machine Learning. International Journal of Advanced Research in Science, Communication and Technology 2022:90 View
- Keerthana D, Venugopal V, Nath M, Mishra M. Hybrid convolutional neural networks with SVM classifier for classification of skin cancer. Biomedical Engineering Advances 2023;5:100069 View
- Pawuś D, Paszkiel S. BCI Wheelchair Control Using Expert System Classifying EEG Signals Based on Power Spectrum Estimation and Nervous Tics Detection. Applied Sciences 2022;12(20):10385 View
- Namburu A, Mohan S, Chakkaravarthy S, Selvaraj P. Skin Cancer Segmentation Based on Triangular Intuitionistic Fuzzy Sets. SN Computer Science 2023;4(3) View
- Adla D, Reddy G, Nayak P, Karuna G. A full-resolution convolutional network with a dynamic graph cut algorithm for skin cancer classification and detection. Healthcare Analytics 2023;3:100154 View
- Li H, Pan Y, Zhao J, Zhang L. Skin disease diagnosis with deep learning: A review. Neurocomputing 2021;464:364 View
- Wang Y, Wang Y, Cai J, Lee T, Miao C, Wang Z. SSD-KD: A self-supervised diverse knowledge distillation method for lightweight skin lesion classification using dermoscopic images. Medical Image Analysis 2023;84:102693 View
- Hartmann T, Perron R, Razavi M. Utilization of Nanoparticles, Nanodevices, and Nanotechnology in the Treatment Course of Cutaneous Melanoma. Advanced Therapeutics 2022;5(7) View
- Salma W, Eltrass A. Automated deep learning approach for classification of malignant melanoma and benign skin lesions. Multimedia Tools and Applications 2022;81(22):32643 View
- Takiddin A, Schneider J, Yang Y, Abd-Alrazaq A, Househ M. Artificial Intelligence for Skin Cancer Detection: Scoping Review. Journal of Medical Internet Research 2021;23(11):e22934 View
- Montalbo F. Automating mosquito taxonomy by compressing and enhancing a feature fused EfficientNet with knowledge distillation and a novel residual skip block. MethodsX 2023;10:102072 View
- Vidya Lakshmi V, S. Leena Jasmine J. A Hybrid Artificial Intelligence Model for Skin Cancer Diagnosis. Computer Systems Science and Engineering 2021;37(2):233 View
- Martinez-Millana A, Saez-Saez A, Tornero-Costa R, Azzopardi-Muscat N, Traver V, Novillo-Ortiz D. Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews. International Journal of Medical Informatics 2022;166:104855 View
- Sun M, Kentley J, Mehta P, Dusza S, Halpern A, Rotemberg V. Accuracy of commercially available smartphone applications for the detection of melanoma. British Journal of Dermatology 2022;186(4):744 View
- Upadhyay A, Singh G, Mhatre S, Nadar P. Dog Skin Diseases Detection and Identification Using Convolutional Neural Networks. SN Computer Science 2023;4(3) View
- Pawuś D, Paszkiel S. Application of EEG Signals Integration to Proprietary Classification Algorithms in the Implementation of Mobile Robot Control with the Use of Motor Imagery Supported by EMG Measurements. Applied Sciences 2022;12(11):5762 View
- Alzubaidi L, Duan Y, Al-Dujaili A, Ibraheem I, Alkenani A, Santamaría J, Fadhel M, Al-Shamma O, Zhang J. Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study. PeerJ Computer Science 2021;7:e715 View
- Patel M. Multi Class Skin Diseases Classification Based On Dermoscopic Skin Images Using Deep Learning. International Journal of Next-Generation Computing 2022 View
- Gottumukkala V, Kumaran N, Sekhar V. BLSNet: Skin lesion detection and classification using broad learning system with incremental learning algorithm. Expert Systems 2022;39(9) View
- Raju D, Shanmugasundaram H, Sasikumar R. Fuzzy segmentation and black widow–based optimal SVM for skin disease classification. Medical & Biological Engineering & Computing 2021;59(10):2019 View
- Ajmal M, Khan M, Akram T, Alqahtani A, Alhaisoni M, Armghan A, Althubiti S, Alenezi F. BF2SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification. Neural Computing and Applications 2023;35(30):22115 View
- Zafar M, Sharif M, Sharif M, Kadry S, Bukhari S, Rauf H. Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey. Life 2023;13(1):146 View
- Tian Y, Sun S, Qi Z, Liu Y, Wang Z. Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism. Neurocomputing 2022;483:370 View
- Shehzad K, Zhenhua T, Shoukat S, Saeed A, Ahmad I, Sarwar Bhatti S, Chelloug S. A Deep-Ensemble-Learning-Based Approach for Skin Cancer Diagnosis. Electronics 2023;12(6):1342 View
- Priyadharshini N, N. S, Hemalatha B, Sureshkumar C. A novel hybrid Extreme Learning Machine and Teaching–Learning-Based Optimization algorithm for skin cancer detection. Healthcare Analytics 2023;3:100161 View
- Liu S, Chen M. Wire Rope Defect Recognition Method Based on MFL Signal Analysis and 1D-CNNs. Sensors 2023;23(7):3366 View
- Naguib S, Hamza H, Hosny K, Saleh M, Kassem M. Classification of Cervical Spine Fracture and Dislocation Using Refined Pre-Trained Deep Model and Saliency Map. Diagnostics 2023;13(7):1273 View
- To H, Nguyen H, Le H, Le H, Quan T. MetaAttention model: a new approach for skin lesion diagnosis using AB features and attention mechanism. Biomedical Physics & Engineering Express 2023;9(4):045008 View
- Xu D, Zhou B, Zhang J, Li C, Guan C, Liu Y, Li L, Li H, Cui L, Xu L, Liu H, Zhen L, Xu Y. Prediction of hyperkalemia in ESRD patients by identification of multiple leads and multiple features on ECG. Renal Failure 2023;45(1) View
- Juan C, Su Y, Wu C, Yang C, Hsu C, Hung C, Chen Y. Deep convolutional neural network with fusion strategy for skin cancer recognition: model development and validation. Scientific Reports 2023;13(1) View
- Kuo K, Talley P, Chang C. The accuracy of artificial intelligence used for non-melanoma skin cancer diagnoses: a meta-analysis. BMC Medical Informatics and Decision Making 2023;23(1) View
- Liu Q, Zhang J, Bai Y. Mapping the landscape of artificial intelligence in skin cancer research: a bibliometric analysis. Frontiers in Oncology 2023;13 View
- Kumar R, Sood P, Nirala R, Ade R, Sonaji A. Uses of AI in Field of Radiology- What is State of Doctor & Pateints Communication in Different Disease for Diagnosis Purpose. Journal for Research in Applied Sciences and Biotechnology 2023;2(5):51 View
- Shah A, Shah M, Pandya A, Sushra R, Sushra R, Mehta M, Patel K, Patel K. A comprehensive study on skin cancer detection using artificial neural network (ANN) and convolutional neural network (CNN). Clinical eHealth 2023;6:76 View
- Zhang L, Xu R, Zhao J. Learning technology for detection and grading of cancer tissue using tumour ultrasound images1. Journal of X-Ray Science and Technology 2024;32(1):157 View
- Shafi N, Costantine J, Kanj R, Tawk Y, Ramadan A, Kurban M, Rahal J, Eid A. A Portable Non-Invasive Electromagnetic Lesion-Optimized Sensing Device for the Diagnosis of Skin Cancer (SkanMD). IEEE Transactions on Biomedical Circuits and Systems 2023;17(3):558 View
- Hussain M, Fiza M, Khalil A, Siyal A, Dharejo F, Hyder W, Guzzo A, Krichen M, Fortino G. Transfer learning-based quantized deep learning models for nail melanoma classification. Neural Computing and Applications 2023;35(30):22163 View
- DİMİLİLER K, SEKEROGLU B. Skin Lesion Classification Using CNN-based Transfer Learning Model. Gazi University Journal of Science 2023;36(2):660 View
- Ogundokun R, Li A, Babatunde R, Umezuruike C, Sadiku P, Abdulahi A, Babatunde A. Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models. Bioengineering 2023;10(8):979 View
- AlSuwaidan L. Deep Learning Based Classification of Dermatological Disorders. Biomedical Engineering and Computational Biology 2023;14 View
- Singareddy S, SN V, Jaramillo A, Yasir M, Iyer N, Hussein S, Nath T. Artificial Intelligence and Its Role in the Management of Chronic Medical Conditions: A Systematic Review. Cureus 2023 View
- Ajuwon B, Awotundun O, Richardson A, Roper K, Sheel M, Rahman N, Salako A, Lidbury B. Machine learning prediction models for clinical management of blood-borne viral infections: a systematic review of current applications and future impact. International Journal of Medical Informatics 2023;179:105244 View
- Rostamzadeh-Renani R, Jasim D, Baghoolizadeh M, Rostamzadeh-Renani M, Andani H, Salahshour S, Baghaei S. Multi-objective optimization of rheological behavior of nanofluids containing CuO nanoparticles by NSGA II, MOPSO, and MOGWO evolutionary algorithms and group method of data handling artificial neural networks. Materials Today Communications 2024;38:107709 View
- Fernandes J, Teles A, Fernandes T, Lima L, Balhara S, Gupta N, Teixeira S. Artificial Intelligence on Diagnostic Aid of Leprosy: A Systematic Literature Review. Journal of Clinical Medicine 2023;13(1):180 View
- Lv J, Zhang R, Gu Q, Hemayet Uddin M, Jiang X, Qi J, Si G, Ou Q. Metasurfaces and their intelligent advances. Materials & Design 2024;237:112610 View
- Shakeel C, Khan S. Machine learning (ML) techniques as effective methods for evaluating hair and skin assessments: A systematic review. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2024;238(2):132 View
- Hossain M, Hossain M, Arefin M, Akhtar F, Blake J. Combining State-of-the-Art Pre-Trained Deep Learning Models: A Noble Approach for Skin Cancer Detection Using Max Voting Ensemble. Diagnostics 2023;14(1):89 View
- Keskenler M, Çelik E, Dal D. A New Multi-Layer Machine Learning (MLML) Architecture for Non-invasive Skin Cancer Diagnosis on Dermoscopic Images. Journal of Electrical Engineering & Technology 2024;19(4):2739 View
- Benzyane M, Azrour M, Zeroual I, Agoujil S. Investigating the Influence of Convolutional Operations on LSTM Networks in Video Classification. Data and Metadata 2023;2:152 View
- M T, Koti M, B.A N, V G, K.P S, Mathivanan S, Dalu G. Lung cancer diagnosis based on weighted convolutional neural network using gene data expression. Scientific Reports 2024;14(1) View
- Rostamzadeh-Renani M, Baghoolizadeh M, Sajadi S, Rostamzadeh-Renani R, Azarkhavarani N, Salahshour S, Toghraie D. A multi-objective and CFD based optimization of roof-flap geometry and position for simultaneous drag and lift reduction. Propulsion and Power Research 2024 View
- Maneesha A, Anusha K, Kalyani B, Satyanarayana K, Bobba P, Perveen A, Debnath S. Adaptive dermascopy application using machine learning. MATEC Web of Conferences 2024;392:01159 View
- Mukhlif Y, Ramaha N, Hameed A, Salman M, Yon D, Fitriyani N, Syafrudin M, Lee S. Ant Colony and Whale Optimization Algorithms Aided by Neural Networks for Optimum Skin Lesion Diagnosis: A Thorough Review. Mathematics 2024;12(7):1049 View
- Ennaji A, Sabri M, Aarab A. Ensemble learning with weighted voting classifier for melanoma diagnosis. Multimedia Tools and Applications 2024 View
- Remya S, Anjali T, Sugumaran V. A Novel Transfer Learning Framework for Multimodal Skin Lesion Analysis. IEEE Access 2024;12:50738 View
- Uranbey Ö, Özbey F, Kaygısız Ö, Ayrancı F. Assessing ChatGPT's Diagnostic Accuracy and Therapeutic Strategies in Oral Pathologies: A Cross-Sectional Study. Cureus 2024 View
- Zaway L, Ben Amor N, Ktari J, Jallouli M, Chrifi Alaoui L, Delahoche L. Optimization of Wheelchair Control via Multi-Modal Integration: Combining Webcam and EEG. Future Internet 2024;16(5):158 View
- Liu P, Qian W, Li H, Cao J. A relationship-aware mutual learning method for lightweight skin lesion classification. Digital Communications and Networks 2024 View
- Heo E, Park C, Chang K, Shim J, Seo S, Kim D, Cho S, Kim C, Lee N, Lee S. Analytic validation of convolutional neural network-based classification of pigmented skin lesions (PSLs) using unseen PSL hyperspectral data for clinical applications. Journal of the Korean Physical Society 2024;84(11):889 View
- Jin W, Basem A, Baghoolizadeh M, Kamoon S, Al-Yasiri M, Salahshour S, Hekmatifar M. Regression modeling and multi-objective optimization of rheological behavior of non-Newtonian hybrid antifreeze: Using different neural networks and evolutionary algorithms. International Communications in Heat and Mass Transfer 2024;155:107578 View
- Salinas M, Sepúlveda J, Hidalgo L, Peirano D, Morel M, Uribe P, Rotemberg V, Briones J, Mery D, Navarrete-Dechent C. A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis. npj Digital Medicine 2024;7(1) View
- Kumar A, Kumar M, Bhardwaj V, Kumar S, Selvarajan S. A novel skin cancer detection model using modified finch deep CNN classifier model. Scientific Reports 2024;14(1) View
- Shukla M, Tripathi B, Dwivedi T, Tripathi A, Chaurasia B. A hybrid CNN with transfer learning for skin cancer disease detection. Medical & Biological Engineering & Computing 2024;62(10):3057 View
- Cataldo A, Cino L, Distante C, Maietta G, Masciullo A, Mazzeo P, Schiavoni R. Integrating microwave reflectometry and deep learning imaging for in-vivo skin cancer diagnostics. Measurement 2024;235:114911 View
- Spiesman B, Gratton C, Gratton E, Hines H, Cini A. Deep learning for identifying bee species from images of wings and pinned specimens. PLOS ONE 2024;19(5):e0303383 View
- Escalé-Besa A, Vidal-Alaball J, Miró Catalina Q, Gracia V, Marin-Gomez F, Fuster-Casanovas A. The Use of Artificial Intelligence for Skin Disease Diagnosis in Primary Care Settings: A Systematic Review. Healthcare 2024;12(12):1192 View
- Nielsen J, Kristiansen I, Thapa S. Increasing melanoma incidence with unchanged mortality: more sunshine, better treatment, increased diagnostic activity, overdiagnosis or lowered diagnostic threshold?. British Journal of Dermatology 2024;191(3):365 View
- Pradhan J, Singh A, Kumar A, Khan M. Skin lesion classification using modified deep and multi-directional invariant handcrafted features. Journal of Network and Computer Applications 2024;231:103949 View
- Natha P, RajaRajeswari P. Advancing Skin Cancer Prediction Using Ensemble Models. Computers 2024;13(7):157 View
- Raman R, Pattnaik D, Hughes L, Nedungadi P. Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling. Journal of Innovation & Knowledge 2024;9(3):100517 View
- Ye Z, Zhang D, Zhao Y, Chen M, Wang H, Seery S, Qu Y, Xue P, Jiang Y. Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis. Artificial Intelligence in Medicine 2024;155:102934 View
- Winkler J, Kommoss K, Vollmer A, Blum A, Stolz W, Kränke T, Hofmann-Wellenhof R, Enk A, Toberer F, Haenssle H. Computerizing the first step of the two-step algorithm in dermoscopy: A convolutional neural network for differentiating melanocytic from non-melanocytic skin lesions. European Journal of Cancer 2024;210:114297 View
- Philipp W, Yashwanthika R, Sikha O, Benitez R. Generation of Rule-Based Explanations of CNN Classifiers Using Regional Features. Neural Processing Letters 2024;56(5) View
- Soni U, Gupta J, Singh K, Khandelwal G. Screening and Analysis of Skin Cancer Treatment Using Biocomponents of Plants Using Backpropagation Neural Networks: A Comprehensive Review. Current Cancer Therapy Reviews 2024;20(6):555 View
- Jütte L, González-Villà S, Quintana J, Steven M, Garcia R, Roth B. Integrating generative AI with ABCDE rule analysis for enhanced skin cancer diagnosis, dermatologist training and patient education. Frontiers in Medicine 2024;11 View
- Li Q, Zhang Y, Wang L, Zhang H, Wang P, Gu M, Xu S. Lightweight skin cancer detection IP hardware implementation using cycle expansion and optimal computation arrays methods. Computers in Biology and Medicine 2024;183:109258 View
- Mavaddati S. Skin cancer classification based on a hybrid deep model and long short-term memory. Biomedical Signal Processing and Control 2025;100:107109 View
- Ibrahim S, Amin K, Ibrahim Alkanhel R, Abdallah H, Ibrahim M. Soft Attention Based Efficientnetv2b3 Model for Skin Cancer’s Disease Classification Using Dermoscopy Images. IEEE Access 2024;12:161283 View
Books/Policy Documents
- Singh N, Kaur A. Interdisciplinary Approaches to Altering Neurodevelopmental Disorders. View
- Martorell-Marugán J, Tabik S, Benhammou Y, del Val C, Zwir I, Herrera F, Carmona-Sáez P. Computational Biology. View
- El-khatib H, Popescu D, Ichim L. Advances in Computational Intelligence. View
- Young K, Booth G, Simpson B, Dutton R, Shrapnel S. Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support. View
- Sivasubramanian K, Xing L. LED-Based Photoacoustic Imaging. View
- Aldwgeri A, Abubacker N. Advances in Visual Informatics. View
- Janoria H, Minj J, Patre P. Intelligent Data Communication Technologies and Internet of Things. View
- Iglesias-Puzas Á, Boixeda P. Photography in Clinical Medicine. View
- Dwivedi P, Sandhu S, Zeeshan M, Sarkar P. Soft Computing Techniques and Applications. View
- Mehra A, Bhati A, Kumar A, Malhotra R. Emerging Technologies in Data Mining and Information Security. View
- Dutta A, Kamrul Hasan M, Ahmad M. Proceedings of International Joint Conference on Advances in Computational Intelligence. View
- Gao Y, Tang Z, Zhou M, Metaxas D. Information Processing in Medical Imaging. View
- Das T, Kumar V, Prakash A, Lynn A. Skin Cancer: Pathogenesis and Diagnosis. View
- Nunnari F, Kadir M, Sonntag D. Machine Learning and Knowledge Extraction. View
- Jaworek-Korjakowska J, Yap M, Bhattacharjee D, Kleczek P, Brodzicki A, Gorgon M. State of the Art in Neural Networks and Their Applications. View
- Barbhuiya R, Ahmad N, Akram W. Computational Intelligence in Oncology. View
- Biswal P, Saha M, Jaiswal N, Rout M. The New Advanced Society. View
- Panigrahi A, Bhutia S, Sahu B, Galety M, Mohanty S. Disruptive Technologies for Big Data and Cloud Applications. View
- Orrin E, Cassidy P, Kulkarni R, Berry E, Leachman S. Melanoma in Clinical Practice. View
- Chauhan A, Hasija Y. Proceedings of Emerging Trends and Technologies on Intelligent Systems. View
- Kortała M, Jaworska T, Ganzha M, Paprzycki M. Big-Data-Analytics in Astronomy, Science, and Engineering. View
- Keerthana D, Nath M. Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences. View
- Agilandeeswari L, Bansal A, Sasank P, Yasasvi K. Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021). View
- Sai Venkatesh C, Meriga C, Geethika M, Lakshmi Gayatri T, Aruna V. High Performance Computing and Networking. View
- Pundhir A, Agarwal A, Dadhich S, Raman B. Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging. View
- Pike A, Benkli B, Gilani S, Hirani S. Substance Use and Addiction Research. View
- Dhiman A, Chauhan N. Proceedings of the International Health Informatics Conference. View
- Karpagam G, Keerthna M, Naresh K, Sairam Vaidya M, Karthikeyan T, Mohideen S. Artificial Intelligence for Sustainable Applications. View
- Singh C, Nischitha , Shetty S, Bekal A, Bhat S, Badiger M. Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems. View
- Deepa Nivethika S. , Srinivasan D, SenthilPandian M. , Paulraj P, Ashokkumar N, Hariharan K. , Maneesh Vijay V. I. , Raghuram T. . Neuromorphic Computing Systems for Industry 4.0. View
- Al-Qaisi A, George L. Proceedings of Eighth International Congress on Information and Communication Technology. View
- Goindi S, Thakur K, Kapoor D. Advances in IoT and Security with Computational Intelligence. View
- Surówka G. Artificial Intelligence and Soft Computing. View
- Shashidhara G, Agarwal R, Suryavamshi J. Intelligent Systems and Machine Learning. View
- Obaid A, Suman Rajest S, Silvia Priscila S, Shynu T, Ettyem S. Proceedings of Data Analytics and Management. View
- Benzyane M, Azrour M, Zeroual I, Agoujil S. Artificial Intelligence, Data Science and Applications. View
- Gupta A, Kuresan H, Talha A, Abhinav P, Dhanalakshmi S. Human-Centric Smart Computing. View
- King I, Meng H, Lam T. Artificial Intelligence in Medicine. View
- Siddarth C, Poreddy A, Kokil P. Computer Vision and Image Processing. View
- Dhage S, Chawan H, Hoskote A, Dabholkar A, Deshmukh V. Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation. View
- Borghesi A, Calegari R. AI for Health Equity and Fairness. View
- Haghshenas F, Krzyżak A, Osowski S. Artificial Neural Networks in Pattern Recognition. View
- Mahmud T, Barua K, Chakma K, Chakma R, Sharmen N, Kaiser M, Hossain M, Hossain M, Andersson K. Proceedings of Trends in Electronics and Health Informatics. View