Sudip Paul
Orcid: 0000-0001-9856-539X
According to our database1,
Sudip Paul
authored at least 14 papers
between 2017 and 2025.
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Bibliography
2025
Attention-based hybrid deep learning models and its scientific validation for cardiovascular disease risk stratification.
Biomed. Signal Process. Control., 2025
2024
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
Proceedings of the International Conference on Machine Learning and Data Engineering, 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
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