| Brain Tumor Segmentation and Survival Prediction R Agravat, M Raval Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 66 | 2020 |
| Object detection using deep neural networks M Shah, R Kapdi 2017 International Conference on Intelligent Computing and Control Systems …, 2017 | 51 | 2017 |
| Deep Learning for Automated Brain Tumor Segmentation in MRI Images R Agravat, M Raval Soft Computing Based Medical Image Analysis, 183 - 201, 2018 | 41 | 2018 |
| 3D semantic segmentation of brain tumor for overall survival prediction RR Agravat, MS Raval International MICCAI Brainlesion Workshop, 215-227, 2020 | 40 | 2020 |
| Prediction of Overall Survival for Brain Tumor Patients R Agravat, M Raval TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), 31-35, 2019 | 27 | 2019 |
| A survey and analysis on automated glioma brain tumor segmentation and overall patient survival prediction RR Agravat, MS Raval Archives of Computational Methods in Engineering 28 (5), 4117-4152, 2021 | 23 | 2021 |
| Simulated annealing for location area planning in cellular networks NB Prajapati, RR Agravat, MI Hasan arXiv preprint arXiv:1003.3553, 2010 | 18 | 2010 |
| Brain Tumor Segmentation Using K-means–FCM Hybrid Technique P Vaibhavi, K Rupal Ambient Communications and Computer Systems 696, 341-352, 2018 | 12 | 2018 |
| Interpretable machine learning model to predict survival days of malignant brain tumor patients S Rajput, RA Kapdi, MS Raval, M Roy Machine Learning: Science and Technology 4 (2), 025025, 2023 | 11 | 2023 |
| Glioblastoma multiforme patient survival prediction S Rajput, R Agravat, M Roy, MS Raval Proceedings of 2021 International Conference on Medical Imaging and Computer …, 2022 | 11 | 2022 |
| Copy Move Forgery Detection Using SIFT and GMM N Yadav, R Kapdi | 9 | 2015 |
| Explainable AI in healthcare: Unboxing machine learning for biomedicine MS Raval, M Roy, T Kaya, R Kapdi CRC Press, 2023 | 6 | 2023 |
| Brain Tumor Segmentation: Towards a better life RR Agravat, MS Raval CSI Communications 40 (9), 31-35, 2016 | 6* | 2016 |
| Image-based seat belt fastness detection using deep learning RA Kapdi, P Khanpara, R Modi, M Gupta Scalable Computing: Practice and Experience 23 (4), 441-455, 2022 | 5 | 2022 |
| Comparative study of various cooling schedules for location area planning in cellular networks using simulated annealing NB Prajapati, RR Agravat, MI Hasan 2009 First International Conference on Networks & Communications, 146-150, 2009 | 5 | 2009 |
| Multi-view brain tumor segmentation (MVBTS): An ensemble of planar and triplanar attention UNets S Rajput, R Kapdi, M RAVAL, M Roy Turkish Journal of Electrical Engineering and Computer Sciences 31 (6), 908-927, 2023 | 4 | 2023 |
| A triplanar ensemble model for brain tumor segmentation with volumetric multiparametric magnetic resonance images S Rajput, R Kapdi, M Roy, MS Raval Healthcare Analytics 5, 100307, 2024 | 3 | 2024 |
| Brain tumor disease identification using random forest classifiers M Oza, R Kapdi, B Student Brain 7 (1), 2015 | 2 | 2015 |
| Interpretability of Segmentation and Overall Survival for Brain Tumors R Kapdi, S Rajput, M Roy, MS Raval Explainable AI in Healthcare, 111-130, 2023 | 1 | 2023 |
| Deriving and interpreting robust features for survival prediction of brain tumor patients S Rajput, RA Kapdi, MS Raval, M Roy, JM Bhalodiya International Journal of Imaging Systems and Technology 34 (3), e23105, 2024 | | 2024 |
Mehul S RavalProfessor - CSE, Ahmedabad University (Current) | (Past) PDPU, AU, DAIICT, SCET)在 ahduni.edu.in 的电子邮件经过验证
