Birendra Biswal

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Shell-Net: A robust deep neural network for the joint segmentation of retinal fragments.

Geetha Pavani Pappu, Prashanth Gowri Shankar Uppudi, Birendra Biswal, Srinivasa Rao Kandula, Meher Savedasa Dhavala, Giri Madhav Potturi, Paila Sai Sharat, Sridevi Polapragada, Nagadhara Harini Datti

Int. J. Imaging Syst. Technol., January, 2024

Robust semantic segmentation of retinal fluids from SD-OCT images using FAM-U-Net.

Geetha Pavani Pappu, Birendra Biswal, Tapan K. Gandhi, Anaji Rao Kota

Biomed. Signal Process. Control., January, 2024

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

Geetha Pavani Pappu, Birendra Biswal, Srinivasa Rao Kandula, Pradyut Kumar Biswal, G. Siddartha, T. Niranjan, N. BalaSubrahmanyam

Neurocomputing, 2024

2023

Simultaneous multiclass retinal lesion segmentation using fully automated RILBP-YNet in diabetic retinopathy.

Geetha Pavani Pappu, Birendra Biswal, Tapan Kumar Gandhi

Biomed. Signal Process. Control., September, 2023

EANet: Multiscale autoencoder based edge attention network for fluid segmentation from SD-OCT images.

Geetha Pavani Pappu, Sreekar Tankala, Krishna Talabhaktula, Birendra Biswal

Int. J. Imaging Syst. Technol., May, 2023

SAF-NET: Split Attention Fusion Network for retinal vessel segmentation from fundus images.

Geetha Pavani Pappu, Birendra Biswal, Tapan Kumar Gandhi

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.

Geetha Pavani Pappu, Talabhakthula Krishna, Birendra Biswal, Prakash Kumar Karn, Pradyut Kumar Biswal, Shazia Hasan, Debasish Nayak

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.

Susanta Kumar Rout, Mrutyunjaya Sahani, Chinmayee Dora, Pradyut Kumar Biswal, Birendra Biswal

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.

Geetha Pavani Pappu, Birendra Biswal, Metta Venkata Satya Sairam, N. BalaSubrahmanyam

Int. J. Imaging Syst. Technol., 2021

Classification of neovascularization on retinal images using extreme learning machine.

Geetha Pavani Pappu, Birendra Biswal, Tapan K. Gandhi, Metta Venkata Satya Sairam

Int. J. Imaging Syst. Technol., 2021

An exclusive-disjunction-based detection of neovascularisation using multi-scale CNN.

Geetha Pavani Pappu, Birendra Biswal, M. V. S. Sairam, Pradyut Kumar Biswal

IET Image Process., 2021

Robust segmentation of vascular network using deeply cascaded AReN-UNet.

Aamer Abdul Rahman, Birendra Biswal, Geetha Pavani Pappu, Shazia Hasan, Metta Venkata Satya Sairam

Biomed. Signal Process. Control., 2021

Robust classification of neovascularization using random forest classifier via convoluted vascular network.

Geetha Pavani Pappu, Birendra Biswal, Pradyut Kumar Biswal

Biomed. Signal Process. Control., 2021

Robust segmentation of exudates from retinal surface using M-CapsNet via EM routing.

Birendra Biswal, Geetha Pavani Pappu, Prasanna T, Prakash Kumar Karn

Biomed. Signal Process. Control., 2021

2020

Robust segmentation of optic disc and optic cup using statistical Kurtosis test.

Birendra Biswal, Eadara Vyshnavi, Dwiti Krishna Bebarta, Gupteswar Sahu

Int. J. Imaging Syst. Technol., 2020

Robust retinal optic disc and optic cup segmentation via stationary wavelet transform and maximum vessel pixel sum.

Birendra Biswal, Eadara Vyshnavi, Metta Venkata Satya Sairam, Pravat Kumar Rout

IET Image Process., 2020

2019

Robust retinal blood vessel segmentation using hybrid active contour model.

Prakash Kumar Karn, Birendra Biswal, Subhransu Ranjan Samantaray

IET Image Process., 2019

2018

Robust retinal blood vessel segmentation using line detectors with multiple masks.

Birendra Biswal, Thotakura Pooja, N. BalaSubrahmanyam

IET Image Process., 2018

2015

Polynomial Based Functional Link Artificial Recurrent Neural Network adaptive System for predicting Indian Stocks.

Dwiti Krishna Bebarta, Birendra Biswal, Pradipta Kishore Dash

Int. J. Comput. Intell. Syst., 2015

2014

Automatic Classification of Power Quality Events Using Balanced Neural Tree.

Birendra Biswal, M. K. Biswal, S. Mishra, R. Jalaja

IEEE Trans. Ind. Electron., 2014

A hybrid FLANN and adaptive differential evolution model for forecasting of stock market indices.

Ajit Kumar Rout, Birendra Biswal, Pradipta Kishore Dash

Int. J. Knowl. Based Intell. Eng. Syst., 2014

Nonstationary power signal time series data classification using LVQ classifier.

Birendra Biswal, Milan Biswal, Shazia Hasan, Pradipta K. Dash

Appl. Soft Comput., 2014

2012

Detection and power quality disturbance classification based on wavelet packet decomposition and modified immune optimization algorithm.

Birendra Biswal, S. Mishra, Pradyut Kumar Biswal, Telagarapu Prabhakar

Int. J. Knowl. Based Intell. Eng. Syst., 2012

Time frequency analysis and power signal disturbance classification using support vector machine and differential evolution algorithm.

Birendra Biswal, M. K. Biswal, Pradipta K. Dash, S. Mishra

Int. J. Knowl. Based Intell. Eng. Syst., 2012

Comparative study of stock market forecasting using different functional link artificial neural networks.

Dwiti Krishna Bebarta, Birendra Biswal, Pradipta K. Dash

Int. J. Data Anal. Tech. Strateg., 2012

2009

Power Quality Disturbance Classification Using Fuzzy C-Means Algorithm and Adaptive Particle Swarm Optimization.

Birendra Biswal, Pradipta K. Dash, Bijaya K. Panigrahi

IEEE Trans. Ind. Electron., 2009

TT-ACO based Power Signal Classifier.

Birendra Biswal, M. K. Biswal, Pradipta K. Dash, Milan V. Nageswara Rao

Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009