| Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image J Aparajeeta, PK Nanda, N Das Applied Soft Computing 41, 104-119, 2016 | 65 | 2016 |
| Variable Variance Adaptive Mean-Shift and possibilistic fuzzy C-means based recursive framework for brain MR image segmentation J Aparajeeta, S Mahakud, PK Nanda, N Das Expert Systems with Applications 92, 317-333, 2018 | 13 | 2018 |
| Diagnosis of Alzheimer’s Disease using Convolutional Neural Network with Select Slices by Landmark on Hippocampus in MRI Images Y Pusparani, CY Lin, YK Jan, FY Lin, BY Liau, P Ardhianto, I Farady, ... IEEE Access, 2023 | 4 | 2023 |
| Bias field estimation and segmentation of MR image using modified fuzzy-C means algorithms J Aparajeeta, PK Nanda, N Das 2015 Eighth International Conference on Advances in Pattern Recognition …, 2015 | 3 | 2015 |
| Deep Learning Approach to Predict Alzheimer's Disease through Magnetic Resonance Images GT Ramadhan, Y Pusparani, I Farady, EN Furqon, CY Lin, WH Chao, ... 2023 International Conference on Consumer Electronics-Taiwan (ICCE-Taiwan …, 2023 | | 2023 |
| Automated Crowd Size Estimation in Dense Crowd Images—Application in Detecting COVID-19 Guideline Violations N Ganesh, V Kedawat, J Aparajeet Cognitive Informatics and Soft Computing, 531-537, 2022 | | 2022 |
| Deep Phenotypic Cell Classification using Capsule Neural Network S Chattoraj, A Chakraborty, A Gupta, Y Vishwakarma, K Vishwakarma, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | | 2021 |
| A recursive framework for bias field estimation and segmentation of noisy brain MR images J Aparajeeta, S Mahakud, PK Nanda, N Das 2017 4th International Conference on Signal Processing and Integrated …, 2017 | | 2017 |
Pradipta Kumar NandaSiksha O Anusandhan UniversityVerified email at soa.ac.in
Pradipta Kumar NandaSiksha O Anusandhan UniversityVerified email at soa.ac.in