Jayalakshmi Mangalagiri

According to our database, Jayalakshmi Mangalagiri authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images.

Sumeet Menon, Jayalakshmi Mangalagiri, Joshua Galita, Michael Morris, Babak Saboury, Yaacov Yesha, Yelena Yesha, Phuong Nguyen, Aryya Gangopadhyay, David Chapman

J. Digit. Imaging, August, 2023

2021

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

Kushal Mehta, Arshita Jain, Jayalakshmi Mangalagiri, Sumeet Menon, Phuong Nguyen, David R. Chapman

J. Digit. Imaging, 2021

CCS-GAN: COVID-19 CT-scan classification with very few positive training images.

Sumeet Menon, Jayalakshmi Mangalagiri, Joshua Galita, Michael Morris, Babak Saboury, Yaacov Yesha, Yelena Yesha, Phuong Nguyen, Aryya Gangopadhyay, David Chapman

CoRR, 2021

Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network.

Jayalakshmi Mangalagiri, David Chapman, Aryya Gangopadhyay, Yaacov Yesha, Joshua Galita, Sumeet Menon, Yelena Yesha, Babak Saboury, Michael Morris, Phuong Nguyen

CoRR, 2021

CT-Scan Denoising Using a Charbonnier Loss Generative Adversarial Network.

Binit Gajera, Siddhant Raj Kapil, Dorsa Ziaei, Jayalakshmi Mangalagiri, Eliot Siegel, David Chapman

IEEE Access, 2021

An Intelligent Parallel Distributed Streaming Framework for near Real-time Science Sensors and High-Resolution Medical Images.

Samit Shivadekar, Jayalakshmi Mangalagiri, Phuong Nguyen, David Chapman, Milton Halem, Rahul Gite

Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients Lungs.

Jayalakshmi Mangalagiri, Jones Sam Sugumar, Sumeet Menon, David Chapman, Yaacov Yesha, Aryya Gangopadhyay, Yelena Yesha, Phuong Nguyen

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN.

Sumeet Menon, Joshua Galita, David R. Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris

CoRR, 2020

Generating Realistic COVID-19 x-rays with a Mean Teacher + Transfer Learning GAN.

Sumeet Menon, Joshua Galita, David Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020