A Hybrid Model for Rician Noise Reduction in MRI. - P. V. Sudeep; Palanisamy Ponnusamy; Jeny Rajan (ADCONS, 2013)

Nonlocal linear minimum mean square error methods for denoising MRI. - P. V. Sudeep; Palanisamy Ponnusamy; Chandrasekharan Kesavadas; Jeny Rajan (Biomed. Signal Process. Control., 2015)

Speckle reduction in medical ultrasound images using an unbiased non-local means method. - P. V. Sudeep; Palanisamy Ponnusamy; Jeny Rajan; Hediyeh Baradaran; Luca Saba; Ajay Gupta; Jasjit S. Suri (Biomed. Signal Process. Control., 2016)

Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering. - P. V. Sudeep; S. Issac Niwas; Palanisamy Ponnusamy; Jeny Rajan; Yu Xiaojun; Xianghong Wang; Yuemei Luo; Linbo Liu (Comput. Biol. Medicine, 2016)

A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps. - P. V. Sudeep; Palanisamy Ponnusamy; Chandrasekharan Kesavadas; Jan Sijbers; Arnold J. den Dekker; Jeny Rajan (Signal Image Video Process., 2017)

Non-Local Means Image Denoising Using Shapiro-Wilk Similarity Measure. - Wadageri Yamanappa; P. V. Sudeep; M. K. Sabu; Jeny Rajan (IEEE Access, 2018)

A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans. - G. N. Girish; V. A. Anima; Abhishek R. Kothari; P. V. Sudeep; Sohini Roychowdhury; Jeny Rajan (Comput. Methods Programs Biomed., 2018)

An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels. - P. V. Sudeep; Palanisamy Ponnusamy; Chandrasekharan Kesavadas; Jeny Rajan (Pattern Recognit. Lett., 2020)

Transformer models for enhancing AttnGAN based text to image generation. - S. Naveen; M. S. S. Ram Kiran; M. Indupriya; T. V. Manikanta; P. V. Sudeep (Image Vis. Comput., 2021)

An Improved Deep Persistent Memory Network for Rician Noise Reduction in MR Images. - Anate Mary Augustin; Chandrasekharan Kesavadas; P. V. Sudeep (Biomed. Signal Process. Control., 2022)

Image Captioning Encoder-Decoder Models Using CNN-RNN Architectures: A Comparative Study. - K. Revati Suresh; Arun Jarapala; P. V. Sudeep (Circuits Syst. Signal Process., 2022)

An Improved AttnGAN Model for Text-to-Image Synthesis. - Remya Gopalakrishnan; Naveen Sambagni; P. V. Sudeep (CVIP (3), 2023)

Self-Attention-Based Text Encoder for Enhancing DMGAN Text-to-Image Generation. - Remya Gopalakrishnan; Sambangi Naveen; Shaeen Kalathil; P. V. Sudeep (IEEE Access, 2025)

Motor imagery task classification using spatial-time-frequency features of EEG signals: a deep learning approach for improved performance. - Muhamed Jishad Thrikkannoor Kolathod; P. V. Sudeep; M. Sanjay (Evol. Syst., 2025)