Niranjana Sampathila

Orcid: 0000-0002-3345-360X

According to our database1, Niranjana Sampathila authored at least 23 papers between 2021 and 2024.

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

Timeline

2021
2022
2023
2024
0
5
10
12
5
4
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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

Digital Pathology in Healthcare: Current Trends and Future Perspective.
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

Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings.
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
Classification of Malaria Using Object Detection Models.
Informatics, December, 2022

Diagnosing COVID-19 using artificial intelligence: a comprehensive review.
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

Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis.
Biomed. Signal Process. Control., 2021


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