Niranjana Sampathila

28 papers Journal 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explainable AI-Integrated Stacked Machine-Learning Model for Detection of Infectious Conditions Utilizing Vital Signs and Hematological Biomarkers.
Inf.
Savithri Prabhu, Giliyar Muralidhar Bairy, Niranjana Sampathila, Dhruva Darshan Brp Siddarama
2026 J jnl
Significance of essential vital signs for analysis of risk level of critical care patients - a review.
J. Intell. Syst.
Savithri Prabhu, Giliyar Muralidhar Bairy, Niranjana Sampathila
2025 J jnl
AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction.
IEEE Access
Sreeni Chadalavada, Süleyman Yaman, Abdulkadir Sengür, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya
2025 J jnl
Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System.
IEEE Access
Bedriye Dogan, Hursit Burak Mutlu, Muhammed Yildirim, Sercan Yalçin, Serpil Aslan, Niranjana Sampathila, Özal Yildirim, Edward J. Ciaccio, Ru-San Tan, U. Rajendra Acharya
2024 J jnl
Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach.
IEEE Access
Meera Radhakrishnan, Niranjana Sampathila, H. Muralikrishna, Swathi Katta S.
2024 J jnl
An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning.
IEEE Access
Hilda Mayrose, Niranjana Sampathila, Giliyar Muralidhar Bairy, Tushar Nayak, Sushma Belurkar, Kavitha Saravu
2024 J jnl
An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas.
IEEE Access
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth
2024 J jnl
Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health.
IEEE Access
Venkatesh A. Bhandage, Srikanth Prabhu, Balachandra S. Hadimani, Krishnaraj Chadaga, Niranjana Sampathila, Sucharitha Shetty
2024 J jnl
Corrections to "Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach".
IEEE Access
Meera Radhakrishnan, Niranjana Sampathila, H. Muralikrishna, Swathi Katta S.
2024 J jnl
Corrections to "An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning".
IEEE Access
Hilda Mayrose, Niranjana Sampathila, Giliyar Muralidhar Bairy, Tushar Nayak, Sushma Belurkar, Kavitha Saravu
2024 J jnl
Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence.
J. Intell. Syst.
Krishnaraj Chadaga, Varada Vivek Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Anisha Palkar
2024 J jnl
Detection of sickle cell disease using deep neural networks and explainable artificial intelligence.
J. Intell. Syst.
Neelankit Gautam Goswami, Anushree Goswami, Niranjana Sampathila, Giliyar Muralidhar Bairy, Krishnaraj Chadaga, Sushma Belurkar
2024 J jnl
Digital Pathology in Healthcare: Current Trends and Future Perspective.
Int. J. Online Biomed. Eng.
Neelankit Gautam Goswami, Niranjana Sampathila, Giliyar Muralidhar Bairy, Krishnaraj Chadaga, Anushree Goswami, Sushma Belurkar
2024 J jnl
Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI.
IEEE Access
Anisha Palkar, Cifha Crecil Dias, Krishnaraj Chadaga, Niranjana Sampathila
2024 J jnl
Explainable Artificial Intelligence and Deep Learning Methods for the Detection of Sickle Cell by Capturing the Digital Images of Blood Smears.
Inf.
Neelankit Gautam Goswami, Niranjana Sampathila, Giliyar Muralidhar Bairy, Anushree Goswami, Dhruva Darshan Brp Siddarama, Sushma Belurkar
2024 J jnl
Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases.
IEEE Access
Roshan Kumar, V. Srirama, Krishnaraj Chadaga, H. Muralikrishna, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga
2024 J jnl
Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy.
Int. J. Imaging Syst. Technol.
Liora Rosvin Dsilva, Shivani Harish Tantri, Niranjana Sampathila, Hilda Mayrose, Giliyar Muralidhar Bairy, Sushma Belurkar, Kavitha Saravu, Krishnaraj Chadaga, Abdul Hafeez-Baig
2023 J jnl
Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals.
IEEE Access
Manish Sharma, Harsh Lodhi, Rishita Yadav, Niranjana Sampathila, Swathi Katta S., U. Rajendra Acharya
2023 J jnl
Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings.
Comput.
Anusha Krishnamoorthy, Giliyar Muralidhar Bairy, Siddeshappa Nandish, Hilda Mayrose, Niranjana Sampathila, Krishnaraj Chadaga
2023 J jnl
Intelligent algorithm for detection of dengue using mobilenetv2-based deep features with lymphocyte nucleus.
Expert Syst. J. Knowl. Eng.
Hilda Mayrose, Niranjana Sampathila, Giliyar Muralidhar Bairy, Sushma Belurkar, Kavitha Saravu, Akash Basu, Saman Khan
2023 J jnl
Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence.
Inf.
Susmita S., Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga, Swathi Katta S.
2023 J jnl
Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach.
Intell. Decis. Technol.
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga
2022 J jnl
Classification of Malaria Using Object Detection Models.
Informatics
Padmini Krishnadas, Krishnaraj Chadaga, Niranjana Sampathila, Santhosha Rao, Swathi Katta S., Srikanth Prabhu
2022 J jnl
Computational approach for content-based image retrieval of K-similar images from brain MR image database.
Expert Syst. J. Knowl. Eng.
Niranjana Sampathila, Pavithra, Roshan Joy Martis
2022 J jnl
Diagnosing COVID-19 using artificial intelligence: a comprehensive review.
Netw. Model. Anal. Health Informatics Bioinform.
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga, Shashikiran Umakanth
2022 J jnl
Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals.
Comput.
Shashi Kumar G. S., Ahalya Arun, Niranjana Sampathila, R. Vinoth
2021 J jnl
Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis.
Biomed. Signal Process. Control.
Rohan Khandekar, Prakhya Shastry, Smruthi Jaishankar, Oliver Faust, Niranjana Sampathila
2021 J jnl
X-ray versus computerized tomography (CT) images for detection of COVID-19 using deep learning.
F1000Research
Siddeshappa Nandish, Tejashri Varur, Krithika Subramani, Siddhi Puranik, Niranjana Sampathila