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Raghesh Krishnan K
Raghesh Krishnan K
Assistant Professor (Computer Science and Engineering), Amrita School of Engineering, Amrita Vishwa
Verified email at cb.amrita.edu
Title
Cited by
Cited by
Year
Automatic classification of liver diseases from ultrasound images using GLRLM texture features
K Raghesh Krishnan, R Sudhakar
Soft Computing Applications: Proceedings of the 5th International Workshop …, 2013
302013
Hybrid approach to classification of focal and diffused liver disorders using ultrasound images with wavelets and texture features
K Raghesh Krishnan, S Radhakrishnan
IET Image Processing 11 (7), 530-538, 2017
292017
Focal and diffused liver disease classification from ultrasound images based on isocontour segmentation
R Krishnan K, S Radhakrishnan
IET Image Processing 9 (4), 261-270, 2015
292015
Tensor flow based analysis and classification of liver disorders from ultrasonography images
K Raghesh Krishnan, M Midhila, R Sudhakar
Computational vision and bio inspired computing, 734-743, 2018
112018
Particle swarm optimization‐based liver disorder ultrasound image classification using multi‐level and multi‐domain features
RK Krishnamurthy, S Radhakrishnan, MAK Kattuva
International Journal of Imaging Systems and Technology 31 (3), 1366-1385, 2021
92021
A study of the phases of classification of liver diseases from ultrasound images and gray level difference weights based segmentation
M Midhila, KR Krishnan, R Sudhakar
2017 International Conference on Communication and Signal Processing (ICCSP …, 2017
82017
Generative adversarial networks for facial image inpainting and super-resolution
G Aishwarya, KR Krishnan
Journal of Physics: Conference Series 2070 (1), 012103, 2021
72021
Analyzing underwater videos for fish detection, counting and classification
GD Lakshmi, KR Krishnan
Computational Vision and Bio-Inspired Computing: ICCVBIC 2019, 431-441, 2020
62020
Automatic isolation and classification of vehicles in a traffic video
KRK R Aarthi, C Arunkumar
2011 World Congress on Information and Communication Technologies (WICT …, 2011
5*2011
A segmentation based approach for improved detection of ships from SAR images using deep learning models
MNV Ajay, KK Raghesh
2021 2nd International Conference on Smart Electronics and Communication …, 2021
32021
Processing and Interpreting Water bodies and Road Networks from Satellite Images and storing them as QR Codes
RKK Mukund Sarma, Aiswarya Somanath
International Journal of Scientific & Engineering Research 5 (5), 1285 - 1291, 2014
32014
A hybrid approach to content based image retrieval using visual features and textual queries
R Sudhakar, KR Krishnan, S Muthukrishnan
2011 Third International Conference on Advanced Computing, 241-247, 2011
32011
Segmentation and Detection of Urban Objects from UAV Images Using Hybrid Deep Learning Combinations
BS Sashank
2023 Innovations in Power and Advanced Computing Technologies (i-PACT), 1-7, 2023
2023
Generation of IFS Codes for Unstructured Object Categorization
J Amudha, KR Krishnan, P Nagabhushan
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