Enhancement of Images using morphological Transformations K Sreedhar International Journal of Computer Science & Information Technology 4 (1), 33-50, 2012 | 185 | 2012 |
A review of image denoising and segmentation methods based on medical images S Kollem International national journal of machine learning and computing 9 (3), 288-295, 2019 | 107 | 2019 |
Improved partial differential equation-based total variation approach to non-subsampled contourlet transform for medical image denoising S Kollem, KR Reddy, DS Rao Multimedia Tools and Applications 80 (2), 2663-2689, 2021 | 39 | 2021 |
Denoising and segmentation of MR images using fourth order non‐linear adaptive PDE and new convergent clustering S Kollem, KRL Reddy, DS Rao International Journal of Imaging Systems and Technology 29 (3), 195-209, 2019 | 31 | 2019 |
An optimized SVM based possibilistic fuzzy c-means clustering algorithm for tumor segmentation S Kollem, KR Reddy, DS Rao Multimedia Tools and Applications 80 (1), 409-437, 2021 | 30 | 2021 |
Modified transform-based gamma correction for MRI tumor image denoising and segmentation by optimized histon-based elephant herding algorithm S Kollem international journal of imaging systems and technology 30 (4), 1271-1293, 2020 | 26 | 2020 |
A comprehensive review on thin film amorphous silicon solar cells S Sreejith, J Ajayan, S Kollem, B Sivasankari Silicon 14 (14), 8277-8293, 2022 | 24 | 2022 |
Image denoising for magnetic resonance imaging medical images using improved generalized cross‐validation based on the diffusivity function S Kollem, K Ramalinga Reddy, D Srinivasa Rao, C Rajendra Prasad, ... International Journal of imaging systems and technology 32 (4), 1263-1285, 2022 | 21 | 2022 |
Brain tumor MRI image segmentation using an optimized multi-kernel FCM method with a pre-processing stage S Kollem, CR Prasad, J Ajayan, V Malathy, A Subbarao Multimedia Tools and Applications 82 (14), 20741-20770, 2023 | 20 | 2023 |
Towards a more theory-driven BCI using source reconstructed dynamics of EEG time-series R Janapati, V Dalal, R Sengupta, U Desai, PV Raja Shekar, S Kollem Nano Life 12 (02), 2250005, 2022 | 19 | 2022 |
AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation S Kollem, KR Reddy, CR Prasad, A Chakraborty, J Ajayan, S Sreejith, ... International Journal of Imaging Systems and Technology 33 (4), 1306-1322, 2023 | 18 | 2023 |
Enlargement of Image Based upon Interpolation Techniques KS Dr. K.R.L Reddy International Journal of Advanced Research in Computer and Communication …, 2013 | 18 | 2013 |
Image denoising by using modified SGHP algorithm S Kollem, KRL Reddy, DS Rao International Journal of Electrical and Computer Engineering 8 (2), 971, 2018 | 16 | 2018 |
Image Retrieval Techniques: A Survey K Sreedhar International Journal of Electronics and Communication Engineering 9 (1), 19-27, 2016 | 16* | 2016 |
Ferroelectric field effect transistors (FeFETs): advancements, challenges and exciting prospects for next generation non-volatile memory (NVM) applications J Ajayan, P Mohankumar, D Nirmal, LMIL Joseph, S Bhattacharya, ... Materials Today Communications 35, 105591, 2023 | 13 | 2023 |
Telugu Optical Character Recognition Using Deep Learning G Suresh, CR Prasad, S Kollem 2022 3rd International Conference for Emerging Technology (INCET), 1-6, 2022 | 12 | 2022 |
A novel diffusivity function-based image denoising for MRI medical images S Kollem, KR Reddy, DS Rao Multimedia Tools and Applications 82 (21), 32057-32089, 2023 | 11 | 2023 |
INCNet: Brain Tumor Detection using Inception and Optimization Techniques S Kollem, LMIL Joseph, U Desai, S Tayal, J Ajayan, S Bhattacharya, ... 2022 International Conference on Emerging Techniques in Computational …, 2022 | 11 | 2022 |
Biodegradable sensors: A comprehensive review S Sreejith, LMIL Joseph, S Kollem, VT Vijumon, J Ajayan Measurement, 113261, 2023 | 9 | 2023 |
Breast cancer classification using CNN with transfer learning models CR Prasad, B Arun, S Amulya, P Abboju, S Kollem, S Yalabaka 2023 International Conference for Advancement in Technology (ICONAT), 1-5, 2023 | 8 | 2023 |