| Speckle reduction in medical ultrasound images using an unbiased non-local means method PV Sudeep, P Palanisamy, J Rajan, H Baradaran, L Saba, A Gupta, ... Biomedical Signal Processing and Control 28, 1-8, 2016 | 116 | 2016 |
| Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering PV Sudeep, SI Niwas, P Palanisamy, J Rajan, Y Xiaojun, X Wang, Y Luo, ... Computers in biology and medicine 71, 97-107, 2016 | 49 | 2016 |
| Nonlocal linear minimum mean square error methods for denoising MRI PV Sudeep, P Palanisamy, C Kesavadas, J Rajan Biomedical Signal Processing and Control 20, 125-134, 2015 | 40 | 2015 |
| Transformer models for enhancing AttnGAN based text to image generation S Naveen, MSSR Kiran, M Indupriya, TV Manikanta, PV Sudeep Image and Vision Computing 115, 104284, 2021 | 27 | 2021 |
| Image denoising using DnCNN: An exploration study V Murali, PV Sudeep Advances in Communication Systems and Networks: Select Proceedings of ComNet …, 2020 | 18 | 2020 |
| Non-Local Means Image Denoising using Shapiro-Wilk Similarity Measure W Yamanappa, PV Sudeep, MK Sabu, J Rajan IEEE Access 6 (1), 1-9, 2018 | 18 | 2018 |
| A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography b-scans GN Girish, VA Anima, AR Kothari, PV Sudeep, S Roychowdhury, J Rajan Computer Methods and Programs in Biomedicine 153, 105-114, 2018 | 16 | 2018 |
| Image captioning encoder–decoder models using cnn-rnn architectures: A comparative study KR Suresh, A Jarapala, PV Sudeep Circuits, Systems, and Signal Processing 41 (10), 5719-5742, 2022 | 12 | 2022 |
| An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels PV Sudeep, P Palanisamy, C Kesavadas, J Rajan Pattern Recognition Letters 139, 34-41, 2020 | 12 | 2020 |
| Despeckling algorithms for optical coherence tomography images: a review BN Anoop, GN Girish, PV Sudeep, J Rajan Advanced Classification Techniques for Healthcare Analysis, 286-310, 2019 | 8 | 2019 |
| A hybrid low-light image enhancement method using Retinex decomposition and deep light curve estimation N Krishnan, SJ Shone, CS Sashank, TS Ajay, PV Sudeep Optik 260, 169023, 2022 | 7 | 2022 |
| A Novel Datahiding Method in Spatial Domain PV Sudeep, KA Navas, VS Sheeba | 7 | 2010 |
| An improved deep persistent memory network for Rician noise reduction in MR images AM Augustin, C Kesavadas, PV Sudeep Biomedical Signal Processing and Control 77, 103736, 2022 | 6 | 2022 |
| A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps PV Sudeep, P Palanisamy, C Kesavadas, J Sijbers, AJ Den Dekker, ... Signal, Image and Video Processing 11, 913-920, 2017 | 4 | 2017 |
| A hybrid model for Rician noise reduction in MRI PV Sudeep, P Palanisamy, J Rajan 2013 2nd International Conference on Advanced Computing, Networking and …, 2013 | 3 | 2013 |
| U-shaped Transformer for Enhancing Low-Dose CT Images A Unnikrishnan, A Pavithran, AG Naik, AP Jiju, PV Sudeep Communication and Intelligent Systems: Proceedings of ICCIS 2021, 1031-1042, 2022 | 2 | 2022 |
| Hardware implementation of sign language to text converter using deep neural networks HV Guda, S Guntur, K Gupta, P Volam, S PV Proceedings of the International Conference on Advances in Electronics …, 2019 | 2 | 2019 |
| ADMM based Deep Denoiser Prior for Enhancing Single Coil Magnitude MR images A Christopher, R Harikishan, PV Sudeep 2021 Advanced Communication Technologies and Signal Processing (ACTS), 1-6, 2021 | 1 | 2021 |
| Deep Learning based Spoof Detection: An Experimental Study J Basu, W Ahmad, PV Sudeep 2023 IEEE Silchar Subsection Conference (SILCON), 1-6, 2023 | | 2023 |
| Image Reconstruction Using Deep Learning A Christopher, R Hari Kishan, PV Sudeep Machine Learning Algorithms for Signal and Image Processing, 65-87, 2022 | | 2022 |
Jeny RajanNational Institute of Technology Karnataka, India在 nitk.ac.in 的电子邮件经过验证
