| 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 | 73* | 2022 |
| 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 | 65 | 2022 |
| 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 | 59 | 2023 |
| 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 | 55 | 2023 |
| AI‐Assisted Tuberculosis Detection and Classification from Chest X‐Rays Using a Deep Learning Normalization‐Free Network Model V Acharya, G Dhiman, K Prakasha, P Bahadur, A Choraria, S Prabhu, ... Computational Intelligence and Neuroscience 2022 (1), 2399428, 2022 | 51 | 2022 |
| 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 | 49 | 2022 |
| 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 | 45 | 2023 |
| Classification of malaria using object detection models P Krishnadas, K Chadaga, N Sampathila, S Rao, S Prabhu Informatics 9 (4), 76, 2022 | 42 | 2022 |
| 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 7, 100246, 2023 | 38 | 2023 |
| 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 | 35 | 2023 |
| Supervised learning models for the preliminary detection of COVID-19 in patients using demographic and epidemiological parameters A Pradhan, S Prabhu, K Chadaga, S Sengupta, G Nath Information 13 (7), 330, 2022 | 35 | 2022 |
| Battling COVID-19 using machine learning: A review K Chadaga, S Prabhu, BK Vivekananda, S Niranjana, S Umakanth Cogent Engineering 8 (1), 1958666, 2021 | 32 | 2021 |
| 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 | 27 | 2022 |
| 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 | 27 | 2022 |
| 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 (10), 221-233, 2021 | 27 | 2021 |
| Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers K Chadaga, S Prabhu, N Sampathila, R Chadaga, S Umakanth, D Bhat, ... Scientific Reports 14 (1), 1783, 2024 | 24 | 2024 |
| Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers K Chadaga, S Prabhu, V Bhat, N Sampathila, S Umakanth, R Chadaga Annals of Medicine 55 (1), 2233541, 2023 | 21 | 2023 |
| A decision support system for osteoporosis risk prediction using machine learning and explainable artificial intelligence VV Khanna, K Chadaga, N Sampathila, R Chadaga, S Prabhu, KS Swathi, ... Heliyon 9 (12), 2023 | 21 | 2023 |
| Detection of Monkeypox from skin lesion images using deep learning networks and explainable artificial intelligence T Nayak, K Chadaga, N Sampathila, H Mayrose, G Muralidhar Bairy, ... Applied Mathematics in Science and Engineering 31 (1), 2225698, 2023 | 19 | 2023 |
| IoT-based greenhouse technologies for enhanced crop production: A comprehensive study of monitoring, control, and communication techniques N Singh, AK Sharma, I Sarkar, S Prabhu, K Chadaga Systems Science & Control Engineering 12 (1), 2306825, 2024 | 15 | 2024 |
Dr. Niranjana SampathilaProfessor and Head, Dept. of BME, MIT, Manipal Academy of Higher Education, ManipalE-mail megerősítve itt: manipal.edu