RHLNet: Robust Hybrid Loss-Based Network for Low-Dose CT Image Denoising. - Naragoni Saidulu; Priya Ranjan Muduli; Anirban Dasgupta 002 (IEEE Trans. Instrum. Meas., 2024)

Design of a two-stage ASCII recognizer for the case-sensitive inputs in handwritten and gesticulation mode of the text-entry interface. - Anish Monsley Kirupakaran; Kuldeep Singh Yadav; Naragoni Saidulu; Saharul Alom Barlaskar; Rabul Hussain Laskar (Multim. Tools Appl., 2024)

Voxel-sensitive Wavelet-based Approach for Structural Distortion in Low-Dose CT Images. - Naragoni Saidulu; Vinit Kumar; Priya Ranjan Muduli (ICASSP, 2025)

Asymmetric Convolution-based GAN Framework for Low-Dose CT Image Denoising. - Naragoni Saidulu; Priya Ranjan Muduli (Comput. Biol. Medicine, 2025)

Voxel-Sensitive Attention-Based Lattice Structure Residual Network for Low-Dose CT Image Denoising Using Wavelet-Based Structure Loss. - Naragoni Saidulu; Vinit Kumar; Priya Ranjan Muduli (IEEE Trans. Instrum. Meas., 2025)

Exploiting Computational-Efficient Hybrid-Scale Self-Similarity for Low-Dose CT Image Denoising. - Naragoni Saidulu; Priya Ranjan Muduli (IEEE Trans. Instrum. Meas., 2025)

Dynamic Perception-oriented Low-dose CT Image Denoising Network using Structure-aware Self-similarity. - Naragoni Saidulu; Priya Ranjan Muduli (Circuits Syst. Signal Process., 2025)