| 3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated … SS Skandha, SK Gupta, L Saba, VK Koppula, AM Johri, NN Khanna, ... Computers in Biology and Medicine 125, 103958, 2020 | 75 | 2020 |
| Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application L Saba, SS Sanagala, SK Gupta, VK Koppula, AM Johri, NN Khanna, ... Annals of translational medicine 9 (14), 2021 | 65 | 2021 |
| Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system L Saba, SS Sanagala, SK Gupta, VK Koppula, AM Johri, AM Sharma, ... The International Journal of Cardiovascular Imaging 37, 1511-1528, 2021 | 56 | 2021 |
| A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework SS Skandha, A Nicolaides, SK Gupta, VK Koppula, L Saba, AM Johri, ... Computers in biology and medicine 141, 105131, 2022 | 43 | 2022 |
| Ten fast transfer learning models for carotid ultrasound plaque tissue characterization in augmentation framework embedded with heatmaps for stroke risk stratification SS Sanagala, A Nicolaides, SK Gupta, VK Koppula, L Saba, S Agarwal, ... Diagnostics 11 (11), 2109, 2021 | 43 | 2021 |
| A multicenter study on carotid ultrasound plaque tissue characterization and classification using six deep artificial intelligence models: a stroke application L Saba, SS Sanagala, SK Gupta, VK Koppula, JR Laird, V Viswanathan, ... IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 42 | 2021 |
| Brain MRI‐based wilson disease tissue classification: an optimised deep transfer learning approach L Saba, M Agarwal, SS Sanagala, SK Gupta, GR Sinha, AM Johri, ... Electronics Letters 56 (25), 1395-1398, 2020 | 28 | 2020 |
| A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data SS Skandha, M Agarwal, K Utkarsh, SK Gupta, VK Koppula, JS Suri Neural Computing and Applications 34 (23), 20915-20937, 2022 | 22 | 2022 |
| A fast and light weight deep convolution neural network model for cancer disease identification in human lung (s) SS Sanagala, SK Gupta, VK Koppula, M Agarwal 2019 18th IEEE international conference on machine learning and applications …, 2019 | 16 | 2019 |
| Academic Projects on Certification Management Using Blockchain-A Review A Bathula, S Merugu, SS Skandha 2022 International Conference on Recent Trends in Microelectronics …, 2022 | 6 | 2022 |
| A comprehensive analysis of image forensics techniques: Challenges and future direction MD Ansari, E Rashid, SS Skandha, SK Gupta Recent Patents on Engineering 14 (3), 458-467, 2020 | 6 | 2020 |
| RAID technology for secured grid computing environments NS Chaitanya, S Ramachandram, K RamaKrishna, SS Skandha, ... 2012 National Conference on Communications (NCC), 1-5, 2012 | 6 | 2012 |
| Data privacy for grid systems NS Chaitanya, S Ramachandram, B Padmavathi, SS Skandha, GR Kumar Advances in Computing and Communications: First International Conference …, 2011 | 6 | 2011 |
| Deep learning paradigm and its bias for coronary artery wall segmentation in intravascular ultrasound scans: a closer look V Kumari, N Kumar, S Kumar K, A Kumar, SS Skandha, S Saxena, ... Journal of Cardiovascular Development and Disease 10 (12), 485, 2023 | 2 | 2023 |
| Authentication & Key Establishment in Grid Computing Environments Using GDC NS Chaitanya, S Ramachandram, R Suhasini, SS Skandha IJESAT) International Journal of Engineering Science & Advanced Technology 3 …, 2013 | 2 | 2013 |
| Artificial intelligence based carotid plaque tissue characterisation and classification from ultrasound images using a deep learning paradigm L Saba, SS Skandha, SK Gupta, A Puvvula, VK Koppula, AM Johri, ... Multimodality Imaging, Volume 1: Deep learning applications, 6-1-6-25, 2022 | 1 | 2022 |
| Characterization of COVID-19 severity in infected lungs via artificial intelligence transfer learning SS Skandha, L Saba, SK Gupta, VK Kumar, AM Johri, NN Khanna, ... Multimodality Imaging, Volume 1: Deep learning applications, 12-1-12-25, 2022 | 1 | 2022 |
| Preemptive Routing & Intrusion Detection for MANETs NS Chaitanya, V Ramesh, KV Kumar, SS Skandha, GR Kumar constraints 1, 2, 0 | 1 | |
| Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review A Bathula, SK Gupta, S Merugu, L Saba, NN Khanna, JR Laird, ... Artificial Intelligence Review 57 (9), 1-123, 2024 | | 2024 |
| Optimized intelligent 3D localization in Wireless Sensor Networks for Better Data Sharing P Sruthi, A Bathula, SS Skandha Journal of the Franklin Institute, 107200, 2024 | | 2024 |
Suneet K. Gupta, PhDProfessor, SMIEEE在 ieee.org 的电子邮件经过验证
