Niranjana Sampathila

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Machine Learning Models

Image Retrieval

Top Venues

Expert Syst. J. Knowl. Eng.

Publications

Neelankit Gautam Goswami, Niranjana Sampathila, G. Muralidhar Bairy, Krishnaraj Chadaga, Anushree Goswami, Sushma Belurkar
Digital Pathology in Healthcare: Current Trends and Future Perspective. Int. J. Online Biomed. Eng. 20 (9) (2024)
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth
An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas. IEEE Access 12 (2024)
Liora Rosvin Dsilva, Shivani Harish Tantri, Niranjana Sampathila, Hilda Mayrose, G. Muralidhar Bairy, Sushma Belurkar, Kavitha Saravu, Krishnaraj Chadaga, Abdul Hafeez-Baig
Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy. Int. J. Imaging Syst. Technol. 34 (1) (2024)
Hilda Mayrose, Niranjana Sampathila, G. Muralidhar Bairy, Tushar Nayak, Sushma Belurkar, Kavitha Saravu
An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning. IEEE Access 12 (2024)
Venkatesh A. Bhandage, Srikanth Prabhu, Balachandra S. Hadimani, Krishnaraj Chadaga, Niranjana Sampathila, Sucharitha Shetty
Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health. IEEE Access 12 (2024)
Neelankit Gautam Goswami, Niranjana Sampathila, Giliyar Muralidhar Bairy, Anushree Goswami, Dhruva Darshan Brp Siddarama, Sushma Belurkar
Explainable Artificial Intelligence and Deep Learning Methods for the Detection of Sickle Cell by Capturing the Digital Images of Blood Smears. Inf. 15 (7) (2024)
Susmita S., Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga, Swathi Katta S.
Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence. Inf. 14 (8) (2023)
Anusha Krishnamoorthy, G. Muralidhar Bairy, Siddeshappa Nandish, Hilda Mayrose, Niranjana Sampathila, Krishnaraj Chadaga
Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings. Comput. 12 (2) (2023)
Manish Sharma, Harsh Lodhi, Rishita Yadav, Niranjana Sampathila, Swathi K. S., U. Rajendra Acharya
Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals. IEEE Access 11 (2023)
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga
Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach. Intell. Decis. Technol. 17 (4) (2023)
Hilda Mayrose, Niranjana Sampathila, G. Muralidhar Bairy, Sushma Belurkar, Kavitha Saravu, Akash Basu, Saman Khan
Intelligent algorithm for detection of dengue using mobilenetv2-based deep features with lymphocyte nucleus. Expert Syst. J. Knowl. Eng. 40 (4) (2023)
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga, Shashikiran Umakanth
Diagnosing COVID-19 using artificial intelligence: a comprehensive review. Netw. Model. Anal. Health Informatics Bioinform. 11 (1) (2022)
Niranjana Sampathila, Pavithra, Roshan Joy Martis
Computational approach for content-based image retrieval of K-similar images from brain MR image database. Expert Syst. J. Knowl. Eng. 39 (7) (2022)
Shashi Kumar G. S., Ahalya Arun, Niranjana Sampathila, R. Vinoth
Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals. Comput. 11 (10) (2022)
Padmini Krishnadas, Krishnaraj Chadaga, Niranjana Sampathila, Santhosha Rao, Swathi K. S., Srikanth Prabhu
Classification of Malaria Using Object Detection Models. Informatics 9 (4) (2022)
Rohan Khandekar, Prakhya Shastry, Smruthi Jaishankar, Oliver Faust, Niranjana Sampathila
Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis. Biomed. Signal Process. Control. 68 (2021)
Siddeshappa Nandish, Tejashri Varur, Krithika Subramani, Siddhi Puranik, Niranjana Sampathila
X-ray versus computerized tomography (CT) images for detection of COVID-19 using deep learning. F1000Research 10 (2021)