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Snehal Rajput
Snehal Rajput
PH.D., Pandit Deendayal Energy University
Verified email at sot.pdpu.ac.in
Title
Cited by
Cited by
Year
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
182023
Exploring the possibility of machine learning for predicting ionic conductivity of solid-state electrolytes
AK Mishra, S Rajput, M Karamta, I Mukhopadhyay
ACS omega 8 (18), 16419-16427, 2023
172023
A review on end-to-end methods for brain tumor segmentation and overall survival prediction
S Rajput, MS Raval
arXiv preprint arXiv:2006.01632, 2020
142020
Glioblastoma multiforme patient survival prediction
S Rajput, R Agravat, M Roy, MS Raval
Proceedings of 2021 International Conference on Medical Imaging and Computer …, 2022
132022
Enhancing data security using aes encryption algorithm in cloud computing
S Rajput, JS Dhobi, LJ Gadhavi
Proceedings of First International Conference on Information and …, 2016
132016
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
92024
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
72023
Interpretability of Segmentation and Overall Survival for Brain Tumors
R Kapdi, S Rajput, M Roy, MS Raval
Explainable AI in Healthcare, 111-130, 2023
42023
U-Net: A Versatile Deep Learning Architecture for Multi-Disease Detection
S Rajput, R Kapdi, M Roy, MS Raval
Biomedical Imaging: Advances in Artificial Intelligence and Machine Learning …, 2024
2024
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
U-Net: A Versatile Deep Learning
S Rajput, R Kapdi, M Roy, MS Raval
Biomedical Imaging: Advances in Artificial Intelligence and Machine Learning …, 2024
2024
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