Prashant Jindal

Orcid: 0000-0002-3844-3494

According to our database1, Prashant Jindal authored at least 19 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Retraction Note: Prostate classification network (PC-Net) for automated classification of Prostate cancer in Magnetic resonance imaging.
Multim. Tools Appl., April, 2026

2025
SCAI-Net: An AI-driven framework for optimized, fast, and resource-efficient skull implant generation for cranioplasty using CT images.
Comput. Biol. Medicine, 2025

2024
Statistical Machine and Deep Learning Methods for Forecasting of Covid-19.
Wirel. Pers. Commun., September, 2024

Application of Convolutional Neural Networks for Dentistry Occlusion Classification.
Wirel. Pers. Commun., June, 2024

Denoising techniques for cephalometric x-ray images: A comprehensive review.
Multim. Tools Appl., May, 2024

Denoising of magnetic resonance images of brain tumor using BT-Autonet.
Biomed. Signal Process. Control., January, 2024

2023
Autoencoder-based dense denoiser and block-based wiener filter for noise reduction of optical coherence tomography.
Comput. Electr. Eng., May, 2023

2022
PC-SNet for automated detection of prostate cancer in multiparametric-magnetic resonance imaging.
Int. J. Imaging Syst. Technol., 2022

Denoising of computed tomography using bilateral median based autoencoder network.
Int. J. Imaging Syst. Technol., 2022

Fused framework for glaucoma diagnosis using Optical Coherence Tomography (OCT) images.
Expert Syst. Appl., 2022

Deep learning-based classification network for glaucoma in retinal images.
Comput. Electr. Eng., 2022

2021
Survey of denoising, segmentation and classification of magnetic resonance imaging for prostate cancer.
Multim. Tools Appl., 2021

Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach.
Biomed. Signal Process. Control., 2021

A review on cephalometric landmark detection techniques.
Biomed. Signal Process. Control., 2021

2020
DC-Gnet for detection of glaucoma in retinal fundus imaging.
Mach. Vis. Appl., 2020

GC-NET for classification of glaucoma in the retinal fundus image.
Mach. Vis. Appl., 2020

OCLU-NET for occlusal classification of 3D dental models.
Mach. Vis. Appl., 2020

Automated detection of Glaucoma using deep learning convolution network (G-net).
Multim. Tools Appl., 2020

2016
Supply Chain Coordination Under Service Level Constraint and Controllable Lead Time.
Int. J. Oper. Res. Inf. Syst., 2016


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