Niranjana Sampathila

According to our database, Niranjana Sampathila authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, G. Muralidhar Bairy, Sushma Belurkar, Kavitha Saravu, Krishnaraj Chadaga, Abdul Hafeez-Baig

Int. J. Imaging Syst. Technol., January, 2024

An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning.

Hilda Mayrose, Niranjana Sampathila, G. Muralidhar Bairy, Tushar Nayak, Sushma Belurkar, Kavitha Saravu

IEEE Access, 2024

2023

Intelligent algorithm for detection of dengue using mobilenetv2-based deep features with lymphocyte nucleus.

Hilda Mayrose, Niranjana Sampathila, G. Muralidhar Bairy, Sushma Belurkar, Kavitha Saravu, Akash Basu, Saman Khan

Expert Syst. J. Knowl. Eng., May, 2023

Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings.

Anusha Krishnamoorthy, G. Muralidhar Bairy, Siddeshappa Nandish, Hilda Mayrose, Niranjana Sampathila, Krishnaraj Chadaga

Comput., February, 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

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

Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals.

Manish Sharma, Harsh Lodhi, Rishita Yadav, Niranjana Sampathila, Swathi Katta S., U. Rajendra Acharya

IEEE Access, 2023

2022

Classification of Malaria Using Object Detection Models.

Padmini Krishnadas, Krishnaraj Chadaga, Niranjana Sampathila, Santhosha Rao, Swathi Katta S., Srikanth Prabhu

Informatics, December, 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

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

Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals.

Shashi Kumar G. S., Ahalya Arun, Niranjana Sampathila, R. Vinoth

Comput., 2022

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

Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis.

Rohan Khandekar, Prakhya Shastry, Smruthi Jaishankar, Oliver Faust, Niranjana Sampathila

Biomed. Signal Process. Control., 2021