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Dr. P.V. Sudeep
Dr. P.V. Sudeep
Assistant Professor, Department of E & C Engineering, National Institute of Technology, Calicut
Geverifieerd e-mailadres voor nitc.ac.in - Homepage
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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
1122016
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
482016
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
382015
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
222021
Image denoising using DnCNN: An exploration study
V Murali, PV Sudeep
Advances in Communication Systems and Networks: Select Proceedings of ComNet …, 2020
182020
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
182018
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
152018
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
122020
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
92022
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
82019
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
72022
A Novel Datahiding Method in Spatial Domain
PV Sudeep, KA Navas, VS Sheeba
72010
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
52022
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
42017
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
32013
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
22019
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
12022
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
12021
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
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Artikelen 1–20