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Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs.

, , , , , and . J. Digit. Imaging, 34 (3): 647-666 (2021)

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Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients Lungs., , , , , , , and . IEEE BigData, page 4387-4395. IEEE, (2021)CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images., , , , , , , , , and . J. Digit. Imaging, 36 (4): 1376-1389 (August 2023)CCS-GAN: COVID-19 CT-scan classification with very few positive training images., , , , , , , , , and . CoRR, (2021)Lung Nodule Classification Using Biomarkers, Volumetric Radiomics and 3D CNNs., , , , , and . CoRR, (2020)An Intelligent Parallel Distributed Streaming Framework for near Real-time Science Sensors and High-Resolution Medical Images., , , , , and . ICPP Workshops, page 7:1-7:9. ACM, (2021)Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs., , , , , and . J. Digit. Imaging, 34 (3): 647-666 (2021)Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network., , , , , , , , , and . CoRR, (2021)CT-Scan Denoising Using a Charbonnier Loss Generative Adversarial Network., , , , , and . IEEE Access, (2021)Generating Realistic COVID-19 x-rays with a Mean Teacher + Transfer Learning GAN., , , , , , , , , and . IEEE BigData, page 1216-1225. IEEE, (2020)