Manish Kumar Bajpai

Expert Syst. Appl., March, 2024

Patient centric trustworthy AI in medical analysis and disease prediction: A Comprehensive survey and taxonomy.

[BibT_eX]

[DOI]

Avaneesh Singh

Krishna Kumar Sharma

Antonio Sarasa Cabezuelo

Appl. Soft Comput., 2024

A priority-based self-guided serial-parallel genetic algorithm for low-dose computed tomography.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2024

2023

Efficient Machine Learning and Factional Calculus Based Mathematical Model for Early COVID Prediction.

[BibT_eX]

[DOI]

Hum. Centric Intell. Syst., December, 2023

2022

A Deep Learning-Based Approach to Detect Correct Suryanamaskara Pose.

[BibT_eX]

[DOI]

Ujjayanta Bhaumik

Akbar Sheikh Akbari

SN Comput. Sci., 2022

Hybrid multiagent based adaptive genetic algorithm for limited view tomography using oppositional learning.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2022

Deep neural network for beam hardening artifacts removal in image reconstruction.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Classification of Lung Nodules based on Transfer Learning with K-Nearest Neighbor (KNN).

[BibT_eX]

[DOI]

Trishna Saikia

Malho Hansdah

Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2022

2021

Design of Fractional Calculus based differentiator for edge detection in color images.

[BibT_eX]

[DOI]

Santosh Kumar Mishra

Richa Dixit

Multim. Tools Appl., 2021

Kalman filter based short term prediction model for COVID-19 spread.

[BibT_eX]

[DOI]

Suraj Kumar

Prachi Dixit

Appl. Intell., 2021

A priority based genetic algorithm for limited view tomography.

[BibT_eX]

[DOI]

Appl. Intell., 2021

2020

RecDNN: deep neural network for image reconstruction from limited view projection data.

[BibT_eX]

[DOI]

Kailash Wamanrao Kalare

Soft Comput., 2020

Brain tumor detection and segmentation using mesh-free super-diffusive model.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2020

Fractional Crank-Nicolson finite difference method for benign brain tumor detection and segmentation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2020

Fractional mesh-free linear diffusion method for image enhancement and segmentation for automatic tumor classification.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2020

2019

Mesh free alternate directional implicit method based three dimensional super-diffusive model for benign brain tumor segmentation.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2019

Fractional Order Savitzky-Golay Differentiator based Approach for Mammogram Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Classification of Breast Tissue Density.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

2018

An efficient algorithm for mass detection and shape analysis of different masses present in digital mammograms.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2018

Mesh-free approach for enhancement of mammograms.

[BibT_eX]

[DOI]

IET Image Process., 2018

A novel approach for enhancement of geometric and contrast resolution properties of low contrast images.

[BibT_eX]

[DOI]

Rajesh Kumar Pandey

IEEE CAA J. Autom. Sinica, 2018

EFFECTIVE ALGORITHM FOR BENIGN BRAIN TUMOR DETECTION USING FRACTIONAL CALCULUS.

[BibT_eX]

[DOI]

Proceedings of the TENCON 2018, 2018

2017

Globally supported radial basis function based collocation method for evolution of level set in mass segmentation using mammograms.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2017

Breast Tissue Density Classification in Mammograms Based on Supervised Machine Learning Technique.

[BibT_eX]

[DOI]

Proceedings of the 10th Annual ACM India Compute Conference, 2017

2015

Fast multi-processor multi-GPU based algorithm of tomographic inversion for 3D image reconstruction.

[BibT_eX]

[DOI]

Phalguni Gupta

Prabhat Munshi

Int. J. High Perform. Comput. Appl., 2015

Reconstruction of original signal from contaminated signal using fractional order differentiator.

[BibT_eX]

[DOI]