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23 та иш

Иш: Generating and Evaluating Synthetic Medical Images

  1. Comparative Analysis of the Results of Algorithms for Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy Using Deep Learning

    Nigorakhon Nasimova, Bahodir Muminov, Rashid Nasimov +2

    МақолаEngineering Education and Technology2021 International Conference on Information Science and Communications Technologies (ICISCT)202110 иқтибос
    ABI

  2. Artificial Intelligence in Medicine for Chronic Disease Classification Using Machine Learning

    Mekhriddin Rakhimov, Ravshanjon Akhmadjonov, Shakhzod Javliev

    МақолаArtificial Intelligence in Healthcare202210 иқтибос
    ABI

  3. New Approach for Generating Synthetic Medical Data to Predict Type 2 Diabetes

    Zarnigor Tagmatova, Akmalbek Abdusalomov, Rashid Nasimov +3

    МақолаArtificial Intelligence in HealthcareBioengineering202310 иқтибос
    ABI

  4. Classification Of Some Sensitive Motion Of Fingers To Create Modern Biointerface

    Kudratjon Zohirov

    МақолаMuscle activation and electromyography studies20229 иқтибос
    ABI

  5. A New Approach to Classifying Myocardial Infarction and Cardiomyopathy Using Deep Learning

    Rashid Nasimov, Bahodir Muminov, Sanjar Mirzahalilov +1

    МақолаECG Monitoring and Analysis2020 International Conference on Information Science and Communications Technologies (ICISCT)20208 иқтибос
    ABI

  6. Hybrid Method for Evaluating Feature Importance for Predicting Chronic Heart Diseases

    Rashid Nasimov, Nigorakhon Nasimova, Bahodir Muminov

    МақолаArtificial Intelligence in Healthcare20227 иқтибос
    ABI

  7. Interactive Translation in Echocardiography Training System With Enhanced Cycle-GAN

    Long Teng, Zhongliang Fu, Yu Yao

    Мақола20205 иқтибос
    ABI

  8. Enhancing Automated Brain Tumor Detection Accuracy Using Artificial Intelligence Approaches for Healthcare Environments

    Akmalbek Abdusalomov, Mekhriddin Rakhimov, Jakhongir Karimberdiyev +2

    МақолаBrain Tumor Detection and ClassificationBioengineering20244 иқтибос
    ABI

  9. Development of Fully Synthetic Medical Database Shuffling Method

    Rashid Nasimov, Nigorakhon Nasimova, Bahodir Mumimov +3

    БобAdvanced Computing and AlgorithmsLecture notes in computer science20244 иқтибос
    ABI

  10. Checkerboard artifacts free convolutional neural networks

    Yusuke Sugawara, Sayaka Shiota, Hitoshi Kiya

    Мақола20193 иқтибос
    ABI

  11. A Real-Time Medical Ultrasound Simulator Based on a Generative Adversarial Network Model

    Bo Peng, Xing Huang, Shiyuan Wang +1

    Мақола20193 иқтибос
    ABI

  12. Deep attentional GAN-based high-resolution ultrasound imaging

    Xiuxiu He, Yang Lei, Yingzi Liu +5

    Мақола20203 иқтибос
    ABI

  13. AUE-Net: Automated Generation of Ultrasound Elastography Using Generative Adversarial Network

    Qingjie Zhang, Junjuan Zhao, Xiangmeng Long +4

    Мақола20223 иқтибос
    ABI

  14. SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

    Lennart Bargsten, Alexander Schlaefer

    Мақола20202 иқтибос
    ABI

  15. Medical Image Generation Using Generative Adversarial Networks: A Review

    Nripendra Kumar Singh, Khalid Raza

    Шарҳ мақола20212 иқтибос
    ABI

  16. Removal of speckle noises from ultrasound images using five different deep learning networks

    Onur Karaoğlu, Hasan Şakir Bılge, İhsan Uluer

    Мақола20212 иқтибос
    ABI

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