Login / Signup
Pandia Rajan Jeyaraj
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 8
Top Topics
Image Reconstruction
Magnetic Resonance
Neural Network
Medical Image Annotation
Top Venues
Comput. Electr. Eng.
IET Image Process.
Multidimens. Syst. Signal Process.
Cogn. Comput. Syst.
</>
Publications
</>
Belqasem Aljafari
,
Pandia Rajan Jeyaraj
,
Aravind Chellachi Kathiresan
,
Thanikanti Sudhakar Babu
Electric vehicle optimum charging-discharging scheduling with dynamic pricing employing multi agent deep neural network.
Comput. Electr. Eng.
105 (2023)
Pandia Rajan Jeyaraj
,
Edward Rajan Samuel Nadar
MR image restoration and segmentation via denoising deep adversarial network for blood vessels accurate diagnosis.
Signal Process. Image Commun.
117 (2023)
Pandia Rajan Jeyaraj
,
Edward Rajan Samuel Nadar
Medical image annotation and classification employing pyramidal feature specific lightweight deep convolution neural network.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
11 (5) (2023)
Pandia Rajan Jeyaraj
,
Edward Rajan Samuel Nadar
High-performance dynamic magnetic resonance image reconstruction and synthesis employing deep feature learning convolutional networks.
Int. J. Imaging Syst. Technol.
30 (2) (2020)
Pandia Rajan Jeyaraj
,
Edward Rajan Samuel Nadar
Adaptive machine learning algorithm employed statistical signal processing for classification of ECG signal and myoelectric signal.
Multidimens. Syst. Signal Process.
31 (4) (2020)
Pandia Rajan Jeyaraj
,
S. Edward Rajan
,
Roshan Joy Martis
,
Bijaya K. Panigrahi
Fog Computing Employed Computer Aided Cancer Classification System Using Deep Neural Network in Internet of Things Based Healthcare System.
J. Medical Syst.
44 (2) (2020)
Pandia Rajan Jeyaraj
,
Edward Rajan Samuel Nadar
Dynamic image reconstruction and synthesis framework using deep learning algorithm.
IET Image Process.
14 (7) (2020)
Pandia Rajan Jeyaraj
,
Edward Rajan Samuel Nadar
Deep Boltzmann machine algorithm for accurate medical image analysis for classification of cancerous region.
Cogn. Comput. Syst.
1 (3) (2019)