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P. V. Sudeep
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2020 – today
- 2023
- [c2]Remya Gopalakrishnan
, Naveen Sambagni
An Improved AttnGAN Model for Text-to-Image Synthesis. CVIP (3) 2023: 139-151 - 2022
- [j10]Anate Mary Augustin, Chandrasekharan Kesavadas, P. V. Sudeep
An Improved Deep Persistent Memory Network for Rician Noise Reduction in MR Images. Biomed. Signal Process. Control. 77: 103736 (2022) - [j9]K. Revati Suresh, Arun Jarapala, P. V. Sudeep:
Image Captioning Encoder-Decoder Models Using CNN-RNN Architectures: A Comparative Study. Circuits Syst. Signal Process. 41(10): 5719-5742 (2022) - 2021
- [j8]S. Naveen
Transformer models for enhancing AttnGAN based text to image generation. Image Vis. Comput. 115: 104284 (2021) - 2020
- [j7]P. V. Sudeep, Palanisamy Ponnusamy
An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels. Pattern Recognit. Lett. 139: 34-41 (2020)
2010 – 2019
- 2018
- [j6]Wadageri Yamanappa
Non-Local Means Image Denoising Using Shapiro-Wilk Similarity Measure. IEEE Access 6: 66914-66922 (2018) - [j5]G. N. Girish
A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans. Comput. Methods Programs Biomed. 153: 105-114 (2018) - 2017
- [j4]P. V. Sudeep
A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps. Signal Image Video Process. 11(5): 913-920 (2017) - 2016
- [j3]P. V. Sudeep
Speckle reduction in medical ultrasound images using an unbiased non-local means method. Biomed. Signal Process. Control. 28: 1-8 (2016) - [j2]P. V. Sudeep
Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering. Comput. Biol. Medicine 71: 97-107 (2016) - 2015
- [j1]P. V. Sudeep
Nonlocal linear minimum mean square error methods for denoising MRI. Biomed. Signal Process. Control. 20: 125-134 (2015) - 2013
- [c1]P. V. Sudeep
A Hybrid Model for Rician Noise Reduction in MRI. ADCONS 2013: 56-61
Coauthor Index
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