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Dr. K Sreedhar Reddy
Dr. K Sreedhar Reddy
Professor, Department of ECE, SR University
Verified email at sru.edu.in
Title
Cited by
Cited by
Year
Enhancement of images using morphological transformation
K Sreedhar, B Panlal
arXiv preprint arXiv:1203.2514, 2012
2042012
A review of image denoising and segmentation methods based on medical images
S Kollem, KRL Reddy, DS Rao
International Journal of Machine Learning and Computing 9 (3), 288-295, 2019
1152019
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
452021
A comprehensive review on thin film amorphous silicon solar cells
S Sreejith, J Ajayan, S Kollem, B Sivasankari
Silicon 14 (14), 8277-8293, 2022
392022
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
372019
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
352023
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
332021
Modified transform‐based gamma correction for MRI tumor image denoising and segmentation by optimized histon‐based elephant herding algorithm
S Kollem, K Rama Linga Reddy, D Srinivasa Rao
International Journal of Imaging Systems and Technology 30 (4), 1271-1293, 2020
292020
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
272022
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
262023
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
232023
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
192022
Enlargement of image based upon interpolation techniques
KS Reddy, KRL Reddy
International Journal of Advanced Research in Computer and Communication …, 2013
182013
Image denoising by using modified SGHP algorithm
S Kollem, KRL Reddy, DS Rao
International Journal of Electrical and Computer Engineering 8 (2), 971, 2018
172018
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
162023
Biodegradable sensors: A comprehensive review
S Sreejith, LMIL Joseph, S Kollem, VT Vijumon, J Ajayan
Measurement, 113261, 2023
162023
Image Retrieval Techniques: A Survey
K Sreedhar
International Journal of Electronics and Communication Engineering 9 (1), 19-27, 2016
16*2016
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
152022
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
132023
A novel hybrid deep CNN model for breast cancer classification using Lipschitz-based image augmentation and recursive feature elimination
S Kollem, C Sirigiri, S Peddakrishna
Biomedical Signal Processing and Control 95, 106406, 2024
122024
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