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ORCIDNiranjana Sampathila
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2020 – today
- 2024
[j20]Anisha Palkar
, Cifha Crecil Dias, Krishnaraj Chadaga, Niranjana Sampathila:
Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI. IEEE Access 12: 31697-31718 (2024)- [j19]Hilda Mayrose, Niranjana Sampathila, Giliyar 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: 41750-41762 (2024) - [j18]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: 75010-75033 (2024) - [j17]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: 102027-102034 (2024) - [j16]Hilda Mayrose, Niranjana Sampathila, Giliyar Muralidhar Bairy, Tushar Nayak, Sushma Belurkar, Kavitha Saravu:
Corrections to "An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning". IEEE Access 12: 116040 (2024) - [j15]Meera Radhakrishnan, Niranjana Sampathila, H. Muralikrishna, Swathi Katta S.:
Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach. IEEE Access 12: 116968-116986 (2024) - [j14]Neelankit Gautam Goswami, Niranjana Sampathila, Giliyar Muralidhar Bairy, Krishnaraj Chadaga, Anushree Goswami, Sushma Belurkar:
Digital Pathology in Healthcare: Current Trends and Future Perspective. Int. J. Online Biomed. Eng. 20(9): 65-82 (2024) - [j13]Liora Rosvin Dsilva, Shivani Harish Tantri, Niranjana Sampathila, Hilda Mayrose, Giliyar 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) - [j12]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): 403 (2024) - [j11]Neelankit Gautam Goswami, Anushree Goswami, Niranjana Sampathila, Giliyar Muralidhar Bairy, Krishnaraj Chadaga, Sushma Belurkar:
Detection of sickle cell disease using deep neural networks and explainable artificial intelligence. J. Intell. Syst. 33(1) (2024) - 2023
- [j10]Manish Sharma, Harsh Lodhi, Rishita Yadav, Niranjana Sampathila, Swathi Katta 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: 50946-50961 (2023) - [j9]Anusha Krishnamoorthy, Giliyar 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): 43 (2023) - [j8]Hilda Mayrose, Niranjana Sampathila, Giliyar 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) - [j7]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): 959-982 (2023) - [j6]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): 435 (2023) - 2022
- [j5]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): 152 (2022) - [j4]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) - [j3]Padmini Krishnadas, Krishnaraj Chadaga, Niranjana Sampathila, Santhosha Rao, Swathi Katta S., Srikanth Prabhu:
Classification of Malaria Using Object Detection Models. Informatics 9(4): 76 (2022) - [j2]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): 25 (2022) - 2021
- [j1]Rohan Khandekar, Prakhya Shastry, Smruthi Jaishankar, Oliver Faust, Niranjana Sampathila:
Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis. Biomed. Signal Process. Control. 68: 102690 (2021) - [i1]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: 1292 (2021)
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