COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays RK Singh, R Pandey, RN Babu Neural Computing and Applications 33, 8871-8892, 2021 | 107 | 2021 |
DMENet: diabetic macular edema diagnosis using hierarchical ensemble of CNNs RK Singh, R Gorantla Plos one 15 (2), e0220677, 2020 | 76 | 2020 |
Cervical Cancer Diagnosis using CervixNet - A Deep Learning Approach G Rohan, S Rajeev Kumar, P Rohan, J Mayank IEEE 19th International Conference on Bioinformatics and Bioengineering …, 2019 | 37* | 2019 |
SHEG: summarization and headline generation of news articles using deep learning RK Singh, S Khetarpaul, R Gorantla, SG Allada Neural Computing and Applications 33, 3251-3265, 2021 | 24 | 2021 |
SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability RK Singh, R Gorantla, SGR Allada, P Narra Plos one 17 (10), e0276836, 2022 | 20* | 2022 |
A novel approximation for K distribution: closed-form BER using DPSK modulation in free-space optical communication RK Singh, S Kumar IEEE Photonics Journal 9 (5), 1-14, 2017 | 11 | 2017 |
Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies S Aja-Fernández, C Martín-Martín, Á Planchuelo-Gómez, A Faiyaz, ... NeuroImage: Clinical 39, 103483, 2023 | 7 | 2023 |
A New Approximation for PDF of K Distribution: Analytical Study of QoS Parameters in Free Space Optical Communication RK Singh, S Kumar, Karmeshu IET communications, 2018 | 5 | 2018 |
Performance, Trust, or both? COVID-19 Diagnosis and Prognosis using Deep Ensemble Transfer Learning on X-ray Images✱ A Tiwari, RK Singh Proceedings of the thirteenth indian conference on computer vision, graphics …, 2022 | 4 | 2022 |
Exact analytical BER expression in FSO using α-μ distribution proposed as an approximation of gamma-gamma PDF RK Singh 2018 27th Wireless and Optical Communication Conference (WOCC), 1-5, 2018 | 3 | 2018 |
Analysis of compiler optimization techniques by using feature mining technique T Kumar, RK Singh 2015 39th National Systems Conference (NSC), 1-6, 2015 | 2 | 2015 |
SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data A Tiwari, RK Singh, S Saurabh Neural computing and applications, 2023 | 1 | 2023 |
Exact distributions for bit error rate and channel capacity in free-space optical communication S Kumar, RK Singh, Karmeshu IET communications 13 (18), 2966-2972, 2019 | 1 | 2019 |
Performance evaluation of conditional handover in 5G systems under fading scenario S Deb, M Rathod, R Balamurugan, SK Ghosh, RK Singh, S Sanyal arXiv preprint arXiv:2403.04379, 2024 | | 2024 |
Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures A Tiwari, A Singhal, SJ Shigwan, RK Singh Asian Conference on Machine Learning, 1369-1384, 2024 | | 2024 |
Analysing blackout probability for RIS assisted cellular network E Panwar, SK Ghosh, RK Singh, S Deb 2023 IEEE Future Networks World Forum (FNWF), Baltimore, USA, 13-15th …, 2024 | | 2024 |
Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia A Tiwari, A Singhal, SJ Shigwan, RK Singh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |