Sudip Paul

Orcid: 0000-0001-9856-539X

According to our database1, Sudip Paul authored at least 12 papers between 2017 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
Artificial intelligence bias in medical system designs: a systematic review.
Multim. Tools Appl., February, 2024

COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography.
Frontiers Artif. Intell., 2024

2023
Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine and deep learning framework.
Neural Comput. Appl., June, 2023

UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias.
IEEE Access, 2023

2022
An Exhaustive Analytical Study of U-Net Architecture on Two Diverse Biomedical Imaging Datasets of Electron Microscopy Drosophila ssTEM and Brain MRI BraTS-2021 for Segmentation.
SN Comput. Sci., 2022

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review.
Comput. Biol. Medicine, 2022

2021
Biopolymer and Biomaterial Conjugated Iron Oxide Nanomaterials as Prostate Cancer Theranostic Agents: A Comprehensive Review.
Symmetry, 2021

Design and Optimization of Direct Drive Motor Alloy Wheel for Manual Wheelchair.
Int. J. Syst. Dyn. Appl., 2021

2020
Comprehensive Review on Deep Learning for Neuronal Disorders: Applications of Deep Learning.
Int. J. Nat. Comput. Res., 2020

2018
A Survey on Smart Homes for Aging in Place: Toward Solutions to the Specific Needs of the Elderly.
IEEE Signal Process. Mag., 2018

2017
In silico analysis of nonsynonymous single nucleotide polymorphisms of the human adiponectin receptor 2 (ADIPOR2) gene.
Comput. Biol. Chem., 2017

Teager energy operated perceptual wavelet packet transform coefficients for arithmetic task classification from EEG signals.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017


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