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Rajeev Kumar Singh
Rajeev Kumar Singh
Associate Professor, Computer Science, Shiv Nadar University
Verified email at snu.edu.in
Title
Cited by
Cited by
Year
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
952021
DMENet: diabetic macular edema diagnosis using hierarchical ensemble of CNNs
RK Singh, R Gorantla
Plos one 15 (2), e0220677, 2020
682020
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
27*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
222021
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
112017
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
10*2022
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
62023
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
42022
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
32018
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
32018
Analysis of compiler optimization techniques by using feature mining technique
T Kumar, RK Singh
2015 39th National Systems Conference (NSC), 1-6, 2015
22015
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
12023
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
12019
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 (in press)
E Panwar, S Deb, SK Ghosh, RK Singh
IEEE Future Network World Forum (IEEE FNWF 2023), Baltimore, USA, 13-15th …, 2023
2023
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
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