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Jayalakshmi Mangalagiri
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Lung nodule classification using biomarkers, volumetric radiomics, and 3D CNNs
K Mehta, A Jain, J Mangalagiri, S Menon, P Nguyen, DR Chapman
Journal of Digital Imaging, 1-20, 2021
302021
CT-scan denoising using a charbonnier loss generative adversarial network
B Gajera, SR Kapil, D Ziaei, J Mangalagiri, E Siegel, D Chapman
IEEE Access 9, 84093-84109, 2021
202021
Generating realistic covid-19 x-rays with a mean teacher+ transfer learning gan
S Menon, J Galita, D Chapman, A Gangopadhyay, J Mangalagiri, ...
2020 IEEE International Conference on Big Data (Big Data), 1216-1225, 2020
192020
An intelligent parallel distributed streaming framework for near real-time science sensors and high-resolution medical images
S Shivadekar, J Mangalagiri, P Nguyen, D Chapman, M Halem, R Gite
50th International Conference on Parallel Processing Workshop, 1-9, 2021
152021
Toward generating synthetic CT volumes using a 3D-conditional generative adversarial network
J Mangalagiri, D Chapman, A Gangopadhyay, Y Yesha, J Galita, ...
2020 International Conference on Computational Science and Computational …, 2020
82020
CCS-GAN: COVID-19 CT-scan classification with very few positive training images
S Menon, J Mangalagiri, J Galita, M Morris, B Saboury, Y Yesha, Y Yesha, ...
arXiv preprint arXiv:2110.01605, 2021
32021
CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images
S Menon, J Mangalagiri, J Galita, M Morris, B Saboury, Y Yesha, Y Yesha, ...
Journal of Digital Imaging 36 (4), 1376-1389, 2023
12023
Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients Lungs
J Mangalagiri, JS Sugumar, S Menon, D Chapman, Y Yesha, ...
2021 IEEE International Conference on Big Data (Big Data), 4387-4395, 2021
12021
AN INTELLIGENT PARALLEL DISTRIBUTED STREAMING FRAMEWORK (IPDSF) FOR NEAR REAL-TIME SCIENCE SENSORS AND HIGH-RESOLUTION MEDICAL IMAGES
S Shivadekar, J Mangalagiri, R Gite, M Halem, P Nguyen
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Articles 1–9