| Raspberry Pi as Visual Sensor Nodes in Precision Agriculture: A Study. R Kamath, M Balachandra, S Prabhu Ieee Access 7 (0), 45110-45122, 2019 | 92 | 2019 |
| 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 | 70 | 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 | 58 | 2023 |
| A peer to peer money transfer using SHA256 and Merkle tree S Dhumwad, M Sukhadeve, C Naik, KN Manjunath, S Prabhu 2017 23RD Annual international conference in advanced computing and …, 2017 | 58 | 2017 |
| Improving the performance of convolutional neural network for the segmentation of optic disc in fundus images using attention gates and conditional random fields BJ Bhatkalkar, DR Reddy, S Prabhu, SV Bhandary IEEE Access 8, 29299-29310, 2020 | 57 | 2020 |
| 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 | 54 | 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 | 43 | 2022 |
| Paddy crop and weed discrimination: A multiple classifier system approach R Kamath, M Balachandra, S Prabhu International Journal of Agronomy 2020 (1), 6474536, 2020 | 39 | 2020 |
| 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 | 37 | 2023 |
| Crop and weed discrimination using Laws’ texture masks R Kamath, M Balachandra, S Prabhu International Journal of Agricultural and Biological Engineering 13 (1), 191-197, 2020 | 36 | 2020 |
| 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 | 34 | 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 | 32 | 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 | 29 | 2022 |
| Anomaly detection in panoramic dental x-rays using a hybrid Deep Learning and Machine Learning approach D Verma, S Puri, S Prabhu, K Smriti 2020 IEEE region 10 conference (TENCON), 263-268, 2020 | 29 | 2020 |
| 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 |
mamatha balachandraProfessor, Dept. of Computer Science and Engineering, MIT, MAHE, ManipalGeverifieerd e-mailadres voor manipal.edu