Denoising and segmentation of MR images using fourth order non-linear adaptive PDE and new convergent clustering. - Sreedhar Kollem; Katta Rama Linga Reddy; Duggirala Srinivasa Rao (Int. J. Imaging Syst. Technol., 2019)

Modified transform-based gamma correction for MRI tumor image denoising and segmentation by optimized histon-based elephant herding algorithm. - Sreedhar Kollem; Katta Rama Linga Reddy; Duggirala Srinivasa Rao (Int. J. Imaging Syst. Technol., 2020)

An optimized SVM based possibilistic fuzzy c-means clustering algorithm for tumor segmentation. - Sreedhar Kollem; Katta Rama Linga Reddy; Duggirala Srinivasa Rao (Multim. Tools Appl., 2021)

Improved partial differential equation-based total variation approach to non-subsampled contourlet transform for medical image denoising. - Sreedhar Kollem; Katta Rama Linga Reddy; Duggirala Srinivasa Rao (Multim. Tools Appl., 2021)

Image denoising for magnetic resonance imaging medical images using improved generalized cross-validation based on the diffusivity function. - Sreedhar Kollem; Katta Rama Linga Reddy; Duggirala Srinivasa Rao; Chintha Rajendra Prasad; V. Malathy; J. Ajayan; Deboraj Muchahary (Int. J. Imaging Syst. Technol., 2022)

Brain tumor MRI image segmentation using an optimized multi-kernel FCM method with a pre-processing stage. - Sreedhar Kollem; Chintha Rajendra Prasad; J. Ajayan; V. Malathy; Akkala Subbarao (Multim. Tools Appl., 2023)

AlexNet-NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz-based data augmentation. - Sreedhar Kollem; Katta Rama Linga Reddy; Chintha Rajendra Prasad; Avishek Chakraborty; J. Ajayan; S. Sreejith; Sandip Bhattacharya; L. Maria Irudaya Leo Joseph; Ravichander Janapati (Int. J. Imaging Syst. Technol., 2023)

A novel diffusivity function-based image denoising for MRI medical images. - Sreedhar Kollem; Katta Rama Linga Reddy; Duggirala Srinivasa Rao (Multim. Tools Appl., 2023)

Lane Detection with U-Net Optimization through Hyperparameter Tuning and Cross Validation. - Dontabhaktuni Jayakumar; Simran Saikia; Shaik Yasmin Roshni; Samineni Peddakrishna; Sreedhar Kollem; M. Naresh; Modugu Krishnaiah (ICCCNT, 2024)

A novel hybrid deep CNN model for breast cancer classification using Lipschitz-based image augmentation and recursive feature elimination. - Sreedhar Kollem; Chandrasekhar Sirigiri; Samineni Peddakrishna (Biomed. Signal Process. Control., 2024)

A fast computational technique based on a novel tangent sigmoid anisotropic diffusion function for image-denoising. - Sreedhar Kollem (Soft Comput., 2024)

An efficient method for MRI brain tumor tissue segmentation and classification using an optimized support vector machine. - Sreedhar Kollem (Multim. Tools Appl., 2024)

Distended pixel replacement method for enhancing visual quality of low-light images. - Ganapathy Sekar; Arun Sekar Rajasekaran; Sreedhar Kollem; Babji Prasad Chapa (Signal Image Video Process., 2025)