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Dr. Niranjana Sampathila
Dr. Niranjana Sampathila
Professor, Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal
Verified email at manipal.edu - Homepage
Title
Cited by
Cited by
Year
Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis
R Khandekar, P Shastry, S Jaishankar, O Faust, N Sampathila
Biomedical Signal Processing and Control 68, 102690, 2021
712021
Clinical and laboratory approach to diagnose COVID-19 using machine learning
K Chadaga, C Chakraborty, S Prabhu, S Umakanth, V Bhat, N Sampathila
Interdisciplinary sciences: Computational life sciences 14 (2), 452-470, 2022
442022
Diagnosing COVID-19 using artificial intelligence: A comprehensive review
VV Khanna, K Chadaga, N Sampathila, S Prabhu, R Chadaga, ...
Network Modeling Analysis in Health Informatics and Bioinformatics 11 (1), 25, 2022
362022
Customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images
N Sampathila, K Chadaga, N Goswami, RP Chadaga, M Pandya, ...
Healthcare 10 (10), 1812, 2022
312022
A distinctive explainable machine learning framework for detection of polycystic ovary syndrome
VV Khanna, K Chadaga, N Sampathila, S Prabhu, V Bhandage, ...
Applied System Innovation 6 (2), 32, 2023
282023
Battling COVID-19 using machine learning: A review
K Chadaga, S Prabhu, BK Vivekananda, S Niranjana, S Umakanth
Cogent Engineering 8 (1), 1958666, 2021
272021
Classification of malaria using object detection models
P Krishnadas, K Chadaga, N Sampathila, S Rao, SK S, S Prabhu
Informatics 9 (4), 76, 2022
262022
Application of artificial intelligence techniques for monkeypox: a systematic review
K Chadaga, S Prabhu, N Sampathila, S Nireshwalya, SS Katta, RS Tan, ...
Diagnostics 13 (5), 824, 2023
232023
A decision support system for diagnosis of COVID-19 from non-COVID-19 influenza-like illness using explainable artificial intelligence
K Chadaga, S Prabhu, V Bhat, N Sampathila, S Umakanth, R Chadaga
Bioengineering 10 (4), 439, 2023
222023
Medical diagnosis of COVID-19 using blood tests and machine learning
K Chadaga, S Prabhu, K Vivekananda Bhat, S Umakanth, N Sampathila
Journal of Physics: Conference Series 2161 (1), 012017, 2022
222022
Computational approach for content‐based image retrieval of K‐similar images from brain MR image database
N Sampathila, Pavithra, RJ Martis
Expert Systems 39 (7), e12652, 2022
202022
COVID-19 mortality prediction among patients using epidemiological parameters: an ensemble machine learning approach
K Chadaga, S Prabhu, S Umakanth, K Bhat, N Sampathila, R Chadaga
Engineered Science 16, 221-233, 2021
202021
Deep learning model for detection of COVID-19 utilizing the chest X-ray images
S Abdul Gafoor, N Sampathila, S KS
Cogent Engineering 9 (1), 2079221, 2022
182022
K-means clustering approach for segmentation of corpus callosum from brain magnetic resonance images
GV Bhalerao, N Sampathila
International conference on circuits, communication, control and computing …, 2014
182014
Automated detection of malaria implemented by deep learning in PyTorch
P Krishnadas, N Sampathila
2021 IEEE International Conference on Electronics, Computing and …, 2021
172021
Methodology for Classifying Objects in High-Resolution Optical Images Using Deep Learning Techniques
P Lalitha Kumari, S Das, B Kannadasan, N Sampathila, ...
Advances in Signal Processing, Embedded Systems and IoT: Proceedings of …, 2023
162023
Deep learning based detection of monkeypox virus using skin lesion images
T Nayak, K Chadaga, N Sampathila, H Mayrose, N Gokulkrishnan, ...
Medicine in Novel Technology and Devices 18, 100243, 2023
142023
Predicting cervical cancer biopsy results using demographic and epidemiological parameters: A custom stacked ensemble machine learning approach
K Chadaga, S Prabhu, N Sampathila, R Chadaga, S KS, S Sengupta
Cogent Engineering 9 (1), 2143040, 2022
142022
A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
VV Khanna, K Chadaga, N Sampathila, S Prabhu, R Chadaga
Decision Analytics Journal, 100246, 2023
132023
Raman spectroscopy and conductivity variation of nanocluster carbon thin films grown using a room temperature based cathodic arc process
S De, S Niranjana, BS Satyanarayana, KM Rao
Scientia Iranica 18 (3), 797-803, 2011
132011
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