| 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 | 30 | 2021 |
| 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 | 19 | 2020 |
| Active semi-supervised expectation maximization learning for lung cancer detection from Computerized Tomography (CT) images with minimally label training data P Nguyen, D Chapman, S Menon, M Morris, Y Yesha Medical Imaging 2020: Computer-Aided Diagnosis 11314, 113142E, 2020 | 9 | 2020 |
| Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening S Menon, D Chapman, P Nguyen, Y Yesha, M Morris, B Saboury SIGKDD DCCL, https://arxiv.org/pdf/2010.01173.pdf, 2019 | 9 | 2019 |
| 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 | 8 | 2020 |
| 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 | 3 | 2021 |
| Active Semi-Supervised Learning via Bayesian Experimental Design for Lung Cancer Classification Using Low Dose Computed Tomography Scans P Nguyen, A Rathod, D Chapman, S Prathapan, S Menon, M Morris, ... Applied Sciences. 2023; 13(6):3752. https://doi.org/10.3390/app13063752 …, 2023 | 2 | 2023 |
| 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 | 1 | 2023 |
| 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 | 1 | 2021 |
| Method and system for semi-supervised state transition detection for object tracking MA Shreve, RR Price, J Subramanian, S Menon US Patent App. 17/940,884, 2024 | | 2024 |
| Semi-supervised Contrastive Outlier removal for Pseudo Expectation Maximization (SCOPE) S Menon, D Chapman arXiv preprint arXiv:2206.14261, 2022 | | 2022 |
| Semi-Supervised Expectation Maximization with Contrastive Outlier Removal S Menon University of Maryland, Baltimore County, 2022 | | 2022 |
| Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network PN Jayalakshmi Mangalagiri, David Chapman, Aryya Gangopadhyay, Yaacov Yesha ... CSCI 2020, https://arxiv.org/abs/2104.02060, 2021 | | 2021 |
| Generating Realistic COVID-19 x-rays with a Mean Teacher + Transfer Learning GAN MM Sumeet Menon, Joshua Galita, David Chapman, Aryya Gangopadhyay ... IEEE International Conference on Big Data || https://ieeexplore.ieee.org …, 2020 | | 2020 |
| Lung Nodule Malignancy Estimation of CT Scans Combining Image Biomarkers with 3D CNNs PD David R. Champan, PD Phuong Nguyen, S Menon, J Mangalagiri, ... https://arxiv.org/abs/2010.11682, 2020 | | 2020 |
| Arduino Based Guitar Fretboard for Beginners S Menon, A Nair, M Farkade, A Ranshinge International Journal of Innovative Research in Science, Engineering and …, 2016 | | 2016 |
Phuong Nguyen, PhDUniversity of Maryland Baltimore CountyVerified email at umbc.edu
