Rajeev Kumar Singh

Orcid: 0000-0003-1369-5377

Affiliations:
  • Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, India
  • Jawaharlal Nehru University, New Delhi, India (PhD 2016)


According to our database1, Rajeev Kumar Singh authored at least 11 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data.
Neural Comput. Appl., February, 2024

2023
Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures.
Proceedings of the Asian Conference on Machine Learning, 2023

2022
Performance, Trust, or both? COVID-19 Diagnosis and Prognosis using Deep Ensemble Transfer Learning on X-ray Images✱.
Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022

2021
COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays.
Neural Comput. Appl., 2021

SHEG: summarization and headline generation of news articles using deep learning.
Neural Comput. Appl., 2021

2020
SkiNet: A Deep Learning Solution for Skin Lesion Diagnosis with Uncertainty Estimation and Explainability.
CoRR, 2020

2019
Exact distributions for bit error rate and channel capacity in free-space optical communication.
IET Commun., 2019

Cervical Cancer Diagnosis using CervixNet - A Deep Learning Approach.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018
New approximation for pdf of K- distribution: analytical study of QoS parameters in free space optical communication.
IET Commun., 2018

Exact analytical BER expression in FSO using α-μ distribution proposed as an approximation of gamma-gamma PDF.
Proceedings of the 27th Wireless and Optical Communication Conference, 2018


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