Niranjana Sampathila
Orcid: 0000-0002-3345-360X
According to our database1,
Niranjana Sampathila
authored at least 23 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2021
2022
2023
2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
On csauthors.net:
Bibliography
2024
Explainable Artificial Intelligence and Deep Learning Methods for the Detection of Sickle Cell by Capturing the Digital Images of Blood Smears.
Inf., July, 2024
Detection of sickle cell disease using deep neural networks and explainable artificial intelligence.
J. Intell. Syst., February, 2024
Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy.
Int. J. Imaging Syst. Technol., January, 2024
Int. J. Online Biomed. Eng., 2024
Corrections to "Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach".
IEEE Access, 2024
Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach.
IEEE Access, 2024
Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI.
IEEE Access, 2024
Corrections to "An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning".
IEEE Access, 2024
An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning.
IEEE Access, 2024
Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases.
IEEE Access, 2024
An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas.
IEEE Access, 2024
Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health.
IEEE Access, 2024
2023
Intelligent algorithm for detection of dengue using mobilenetv2-based deep features with lymphocyte nucleus.
Expert Syst. J. Knowl. Eng., May, 2023
Comput., February, 2023
Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence.
Inf., 2023
Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach.
Intell. Decis. Technol., 2023
Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals.
IEEE Access, 2023
2022
Netw. Model. Anal. Health Informatics Bioinform., 2022
Computational approach for content-based image retrieval of K-similar images from brain MR image database.
Expert Syst. J. Knowl. Eng., 2022
Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals.
Comput., 2022
2021
X-ray versus computerized tomography (CT) images for detection of COVID-19 using deep learning.
F1000Research, 2021
Biomed. Signal Process. Control., 2021