Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis. - Rohan Khandekar; Prakhya Shastry; Smruthi Jaishankar; Oliver Faust; Niranjana Sampathila (Biomed. Signal Process. Control., 2021)

X-ray versus computerized tomography (CT) images for detection of COVID-19 using deep learning. - Siddeshappa Nandish; Tejashri Varur; Krithika Subramani; Siddhi Puranik; Niranjana Sampathila (F1000Research, 2021)

Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals. - Shashi Kumar G. S.; Ahalya Arun; Niranjana Sampathila; R. Vinoth (Comput., 2022)

Computational approach for content-based image retrieval of K-similar images from brain MR image database. - Niranjana Sampathila; Pavithra; Roshan Joy Martis (Expert Syst. J. Knowl. Eng., 2022)

Diagnosing COVID-19 using artificial intelligence: a comprehensive review. - Varada Vivek Khanna; Krishnaraj Chadaga; Niranjana Sampathila; Srikanth Prabhu; Rajagopala Chadaga; Shashikiran Umakanth (Netw. Model. Anal. Health Informatics Bioinform., 2022)

Classification of Malaria Using Object Detection Models. - Padmini Krishnadas; Krishnaraj Chadaga; Niranjana Sampathila; Santhosha Rao; Swathi Katta S.; Srikanth Prabhu (Informatics, 2022)

Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals. - Manish Sharma 001; Harsh Lodhi; Rishita Yadav; Niranjana Sampathila; Swathi Katta S.; U. Rajendra Acharya (IEEE Access, 2023)

Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach. - Krishnaraj Chadaga; Srikanth Prabhu; Niranjana Sampathila; Rajagopala Chadaga (Intell. Decis. Technol., 2023)

Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence. - Susmita S.; Krishnaraj Chadaga; Niranjana Sampathila; Srikanth Prabhu; Rajagopala Chadaga; Swathi Katta S. (Inf., 2023)

Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings. - Anusha Krishnamoorthy; Giliyar Muralidhar Bairy; Siddeshappa Nandish; Hilda Mayrose; Niranjana Sampathila; Krishnaraj Chadaga (Comput., 2023)

Intelligent algorithm for detection of dengue using mobilenetv2-based deep features with lymphocyte nucleus. - Hilda Mayrose; Niranjana Sampathila; Giliyar Muralidhar Bairy; Sushma Belurkar; Kavitha Saravu; Akash Basu; Saman Khan (Expert Syst. J. Knowl. Eng., 2023)

Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health. - Venkatesh A. Bhandage; Srikanth Prabhu; Balachandra S. Hadimani; Krishnaraj Chadaga; Niranjana Sampathila; Sucharitha Shetty (IEEE Access, 2024)

An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas. - Krishnaraj Chadaga; Srikanth Prabhu; Niranjana Sampathila; Rajagopala Chadaga; Shashikiran Umakanth (IEEE Access, 2024)

Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases. - Roshan Kumar; V. Srirama; Krishnaraj Chadaga; H. Muralikrishna; Niranjana Sampathila; Srikanth Prabhu; Rajagopala Chadaga (IEEE Access, 2024)

An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning. - Hilda Mayrose; Niranjana Sampathila; Giliyar Muralidhar Bairy; Tushar Nayak; Sushma Belurkar; Kavitha Saravu (IEEE Access, 2024)

Corrections to "An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning". - Hilda Mayrose; Niranjana Sampathila; Giliyar Muralidhar Bairy; Tushar Nayak; Sushma Belurkar; Kavitha Saravu (IEEE Access, 2024)

Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI. - Anisha Palkar; Cifha Crecil Dias; Krishnaraj Chadaga; Niranjana Sampathila (IEEE Access, 2024)

Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach. - Meera Radhakrishnan; Niranjana Sampathila; H. Muralikrishna; Swathi Katta S. (IEEE Access, 2024)

Corrections to "Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach". - Meera Radhakrishnan; Niranjana Sampathila; H. Muralikrishna; Swathi Katta S. (IEEE Access, 2024)

Digital Pathology in Healthcare: Current Trends and Future Perspective. - Neelankit Gautam Goswami; Niranjana Sampathila; Giliyar Muralidhar Bairy; Krishnaraj Chadaga; Anushree Goswami; Sushma Belurkar (Int. J. Online Biomed. Eng., 2024)

Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy. - Liora Rosvin Dsilva; Shivani Harish Tantri; Niranjana Sampathila; Hilda Mayrose; Giliyar Muralidhar Bairy; Sushma Belurkar; Kavitha Saravu; Krishnaraj Chadaga; Abdul Hafeez-Baig (Int. J. Imaging Syst. Technol., 2024)

Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence. - Krishnaraj Chadaga; Varada Vivek Khanna; Srikanth Prabhu; Niranjana Sampathila; Rajagopala Chadaga; Anisha Palkar (J. Intell. Syst., 2024)

Detection of sickle cell disease using deep neural networks and explainable artificial intelligence. - Neelankit Gautam Goswami; Anushree Goswami; Niranjana Sampathila; Giliyar Muralidhar Bairy; Krishnaraj Chadaga; Sushma Belurkar (J. Intell. Syst., 2024)

Explainable Artificial Intelligence and Deep Learning Methods for the Detection of Sickle Cell by Capturing the Digital Images of Blood Smears. - Neelankit Gautam Goswami; Niranjana Sampathila; Giliyar Muralidhar Bairy; Anushree Goswami; Dhruva Darshan Brp Siddarama; Sushma Belurkar (Inf., 2024)

AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction. - Sreeni Chadalavada; Süleyman Yaman; Abdulkadir Sengür; Ravinesh C. Deo; Abdul Hafeez-Baig; Tracy Kolbe-Alexander; Niranjana Sampathila; U. Rajendra Acharya (IEEE Access, 2025)

Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System. - Bedriye Dogan; Hursit Burak Mutlu; Muhammed Yildirim; Sercan Yalçin; Serpil Aslan; Niranjana Sampathila; Özal Yildirim; Edward J. Ciaccio; Ru-San Tan; U. Rajendra Acharya (IEEE Access, 2025)