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Работы, цитирующие эту работу

Работ: 7

  1. PixMed-Enhancer: An Efficient Approach for Medical Image Augmentation

    M. J. Aashik Rasool, Akmalbek Abdusalomov, Alpamis Kutlimuratov +4

    СтатьяAdvanced Neural Network ApplicationsBioengineering2025Цитирований: 2
    ABI

  2. Enhancing Medical Image Segmentation and Classification Using a Fuzzy-Driven Method

    Akmal Abduvaitov, Abror Shavkatovich Buriboev, Djamshid Sultanov +4

    СтатьяCOVID-19 diagnosis using AISensors2025Цитирований: 1
    ABI

  3. Bridging the gap between Natural and Medical Images through Deep Colorization

    Lia Morra, Luca Piano, Fabrizio Lamberti +1

    ПрепринтImage Enhancement Techniques2021Цитирований: 0
    ABI

  4. Domain-Adversarial Training of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery

    Mauro Martini, Vittorio Mazzia, Aleem Khaliq +1

    ПрепринтRemote Sensing in AgricultureRemote Sensing2021Цитирований: 0
    ABI

  5. Enhancing Breast Cancer Diagnosis Through Segmentation-Driven Generative Adversarial Networks for Synthetic Mammogram Generation

    Rajan Prasad Tripathi, Sunil Kumar Khatri, Darelle van Greunen +1

    СтатьяAI in cancer detection2023Цитирований: 0
    ABI

  6. Analysis and reconstruction of noise probability density functions in images

    Orif Khatamov, Sirojiddin Tavboyev

    СтатьяImage and Signal Denoising MethodsAIP conference proceedings2024Цитирований: 0
    ABI

  7. GAN-Based Cross-Modality Brain MRI Synthesis: Paired Versus Unpaired Training and Comparison with Diffusion and Transformer Models

    Behnam Kiani Kalejahi, Sebelan Danishvar, Mohammad Javad Rajabi

    СтатьяGenerative Adversarial Networks and Image SynthesisBiomimetics2026Цитирований: 0
    ABI