Birendra Biswal

Orcid: 0000-0002-6848-3729

According to our database1, Birendra Biswal authored at least 27 papers between 2009 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Shell-Net: A robust deep neural network for the joint segmentation of retinal fragments.
Int. J. Imaging Syst. Technol., January, 2024

Robust semantic segmentation of retinal fluids from SD-OCT images using FAM-U-Net.
Biomed. Signal Process. Control., January, 2024

A robust segmentation of retinal fluids from OCT images using MCFAR-net.
Neurocomputing, 2024

2023
Simultaneous multiclass retinal lesion segmentation using fully automated RILBP-YNet in diabetic retinopathy.
Biomed. Signal Process. Control., September, 2023

EANet: Multiscale autoencoder based edge attention network for fluid segmentation from SD-OCT images.
Int. J. Imaging Syst. Technol., May, 2023

SAF-NET: Split Attention Fusion Network for retinal vessel segmentation from fundus images.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
A deeply supervised maximum response texton based SegNet for simultaneous multi retinal lesion segmentation.
Int. J. Imaging Syst. Technol., 2022

An efficient epileptic seizure classification system using empirical wavelet transform and multi-fuse reduced deep convolutional neural network with digital implementation.
Biomed. Signal Process. Control., 2022

2021
A semantic contour based segmentation of lungs from chest x-rays for the classification of tuberculosis using Naïve Bayes classifier.
Int. J. Imaging Syst. Technol., 2021

Classification of neovascularization on retinal images using extreme learning machine.
Int. J. Imaging Syst. Technol., 2021

An exclusive-disjunction-based detection of neovascularisation using multi-scale CNN.
IET Image Process., 2021

Robust segmentation of vascular network using deeply cascaded AReN-UNet.
Biomed. Signal Process. Control., 2021

Robust classification of neovascularization using random forest classifier via convoluted vascular network.
Biomed. Signal Process. Control., 2021

Robust segmentation of exudates from retinal surface using M-CapsNet via EM routing.
Biomed. Signal Process. Control., 2021

2020
Robust segmentation of optic disc and optic cup using statistical Kurtosis test.
Int. J. Imaging Syst. Technol., 2020

Robust retinal optic disc and optic cup segmentation via stationary wavelet transform and maximum vessel pixel sum.
IET Image Process., 2020

2019
Robust retinal blood vessel segmentation using hybrid active contour model.
IET Image Process., 2019

2018
Robust retinal blood vessel segmentation using line detectors with multiple masks.
IET Image Process., 2018

2015
Polynomial Based Functional Link Artificial Recurrent Neural Network adaptive System for predicting Indian Stocks.
Int. J. Comput. Intell. Syst., 2015

2014
Automatic Classification of Power Quality Events Using Balanced Neural Tree.
IEEE Trans. Ind. Electron., 2014

A hybrid FLANN and adaptive differential evolution model for forecasting of stock market indices.
Int. J. Knowl. Based Intell. Eng. Syst., 2014

Nonstationary power signal time series data classification using LVQ classifier.
Appl. Soft Comput., 2014

2012
Detection and power quality disturbance classification based on wavelet packet decomposition and modified immune optimization algorithm.
Int. J. Knowl. Based Intell. Eng. Syst., 2012

Time frequency analysis and power signal disturbance classification using support vector machine and differential evolution algorithm.
Int. J. Knowl. Based Intell. Eng. Syst., 2012

Comparative study of stock market forecasting using different functional link artificial neural networks.
Int. J. Data Anal. Tech. Strateg., 2012

2009
Power Quality Disturbance Classification Using Fuzzy C-Means Algorithm and Adaptive Particle Swarm Optimization.
IEEE Trans. Ind. Electron., 2009

TT-ACO based Power Signal Classifier.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009


  Loading...