| Research methodology: A practical and scientific approach V Bairagi, MV Munot CRC Press, 2019 | 305 | 2019 |
| Detection and moderation of detrimental content on social media platforms: current status and future directions VU Gongane, MV Munot, AD Anuse Social Network Analysis and Mining 12 (1), 129, 2022 | 61 | 2022 |
| An efficient approach to fruit classification and grading using deep convolutional neural network A Pande, M Munot, R Sreeemathy, RV Bakare 2019 IEEE 5th International Conference for Convergence in Technology (I2CT), 1-7, 2019 | 29 | 2019 |
| R'G'B'to Y'CbCr color space conversion using FPGA AM Sapkal, M Munot, MA Joshi IET Digital Library, 2008 | 27 | 2008 |
| An efficient approach for detection of autism spectrum disorder using electroencephalography signal T Sinha, MV Munot, R Sreemathy IETE Journal of Research 68 (2), 824-832, 2022 | 26 | 2022 |
| A novel approach for efficient extrication of overlapping chromosomes in automated karyotyping MV Munot, J Mukherjee, M Joshi Medical & biological engineering & computing 51, 1325-1338, 2013 | 23 | 2013 |
| Efficient karyotyping of metaphase chromosomes using incremental learning P Joshi, M Munot, P Kulkarni, M Joshi IET Science, Measurement & Technology 7 (5), 287-295, 2013 | 16 | 2013 |
| Automated karyotyping of metaphase cells with touching chromosomes M Munot, M Joshi, N Sharma Int J Comput Appl 29 (12), 14-20, 2011 | 15 | 2011 |
| Development of computerized systems for automated chromosome analysis: current status and future prospects MV Munot International Journal of Advanced Research in Computer Science 9 (1), 782-791, 2018 | 13 | 2018 |
| Automated detection of diabetes from exhaled human breath using deep hybrid architecture N Bhaskar, V Bairagi, E Boonchieng, MV Munot IEEE Access 11, 51712-51722, 2023 | 9 | 2023 |
| A novel and intelligent vision-based tutor for Yogāsana: e-YogaGuru G Kale, V Patil, M Munot Machine Vision and Applications 32, 1-17, 2021 | 9 | 2021 |
| Automated detection of cut-points for disentangling overlapping chromosomes MV Munot, M Joshi, N Sharma, G Ahuja 2013 IEEE Point-of-Care Healthcare Technologies (PHT), 120-123, 2013 | 9 | 2013 |
| Pruning for compression of visual pattern recognition networks: a survey from deep neural networks perspective SA Bhalgaonkar, MV Munot, AD Anuse Pattern recognition and data analysis with applications, 675-687, 2022 | 8 | 2022 |
| Automated detection of the cut-points for the separation of overlapping chromosomes MA Joshi, MV Munot, MA Joshi, KR Shah, K Soni 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 820-825, 2012 | 8 | 2012 |
| Efficient pairing of chromosomes in metaphase image for automated karyotyping MV Munot, PM Joshi, P Kulkarni, MA Joshi 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 916-921, 2012 | 7 | 2012 |
| A reliable and an efficient approach for diagnosis of brain tumor using transfer learning SA Panwar, MV Munot, S Gawande, PS Deshpande Biomed Pharmacol J 14 (1), 283-294, 2021 | 6 | 2021 |
| Machine learning approaches for rumor detection on social media platforms: a comprehensive survey VU Gongane, MV Munot, A Anuse Advanced machine intelligence and signal processing, 649-663, 2022 | 5 | 2022 |
| Deep learning models for tomato plant disease detection V Kathole, M Munot Advanced Machine Intelligence and Signal Processing, 679-686, 2022 | 4 | 2022 |
| Automated Metaphase Chromosome Image Selection Techniques for Karyotyping: Current Status and Future Prospects SA Bhalegaonkar, MV Munot, AD Anuse, RS Kute Turkish Journal of Computer and Mathematics Education 12 (6(2021)), 3258-3266, 2021 | 4 | 2021 |
| An incremental approach for efficient karyotyping systems M Munot, P Joshi, M Joshi, P Kulkarni Journal of Medical Imaging and Health Informatics 6 (1), 221-225, 2016 | 4 | 2016 |
