Chandrasekharan Kesavadas

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 12

Top Topics

Maximum Likelihood

Convolutional Neural Network

Magnetic Resonance

Top Venues

Biomed. Signal Process. Control.

IEEE J. Biomed. Health Informatics

Int. J. Imaging Syst. Technol.

Publications

Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Chandrasekharan Kesavadas, Greeta Mathews
Unsupervised Multi-Latent Space RL Framework for Video Summarization in Ultrasound Imaging. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Gowthami Nair, Sruthi S. Nair, Karumattu Manattu Arun, Paúl Camacho, Elshal Bava, Priya Ajayaghosh, Ramshekhar N. Menon, Muralidharan Nair, Chandrasekharan Kesavadas, Sheeba Arnold Anteraper
Resting-State Functional Connectivity in Relapsing-Remitting Multiple Sclerosis with Mild Disability: A Data-Driven, Whole-Brain Multivoxel Pattern Analysis Study. Brain Connect. 13 (2) (2023)
Shyna A, Ushadevi Amma C., Ansamma John, Chandrasekharan Kesavadas, Bejoy Thomas
Deep-ASL enhancement technique in arterial spin labeling MRI - A novel approach for the error reduction of partial volume correction technique with linear regression algorithm. J. Comput. Sci. 58 (2022)
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 (2022)
S. Niyas, S. Chethana Vaisali, Iwrin Show, T. G. Chandrika, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan
Segmentation of focal cortical dysplasia lesions from magnetic resonance images using 3D convolutional neural networks. Biomed. Signal Process. Control. 70 (2021)
Edwin Thomas, Pawan S. Jogi, Shushant Kumar, Anmol Horo, S. Niyas, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan
Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images. IEEE J. Biomed. Health Informatics 25 (5) (2021)
Jayanthi Sivaswamy, Alphin J. Thottupattu, Mythri V, Raghav Mehta, R. Sheelakumari, Chandrasekharan Kesavadas
Sub-cortical structure segmentation database for young population. CoRR (2021)
P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jeny Rajan
An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels. Pattern Recognit. Lett. 139 (2020)
Sreedharan Sujesh, K. M. Arun, P. N. Sylaja, Chandrasekharan Kesavadas, Ranganatha Sitaram
Functional Connectivity of Language Regions of Stroke Patients with Expressive Aphasia During Real-Time Functional Magnetic Resonance Imaging Based Neurofeedback. Brain Connect. 9 (8) (2019)
K. M. Bijay Dev, Pawan S. Jogi, S. Niyas, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan
Automatic detection and localization of Focal Cortical Dysplasia lesions in MRI using fully convolutional neural network. Biomed. Signal Process. Control. 52 (2019)
Sreekanth Madhusoodhanan, Chandrasekharan Kesavadas, Joseph Suresh Paul
SWI post processing using granularity controlled edge-preserved denoising of multichannel GRE images. Int. J. Imaging Syst. Technol. 29 (3) (2019)
P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jan Sijbers, Arnold Jan den Dekker, Jeny Rajan
A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps. Signal Image Video Process. 11 (5) (2017)
P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jeny Rajan
Nonlocal linear minimum mean square error methods for denoising MRI. Biomed. Signal Process. Control. 20 (2015)
R. Sheela Kumari, Tinu Varghese, Chandrasekharan Kesavadas, N. Albert Singh, P. S. Mathuranath
Longitudinal Evaluation of Structural Changes in Frontotemporal Dementia Using Artificial Neural Networks. FICTA (2013)
Krishna Priya Remamany, C. Thangaraj, Chandrasekharan Kesavadas, S. Kannan
Fuzzy entropy-based MR brain image segmentation using modified particle swarm optimization. Int. J. Imaging Syst. Technol. 23 (4) (2013)
Uma K., Chandrasekharan Kesavadas, Joseph Suresh Paul
Partial Fourier reconstruction using subspace projection. NCVPRIPG (2013)
R. Sheela Kumari, Tinu Varghese, Chandrasekharan Kesavadas, N. Albert Singh, P. S. Mathuranath
A Genetic Algorithm Optimized Artificial Neural Network for the Segmentation of MR Images in Frontotemporal Dementia. SEMCCO (2) (2013)
Jeny Rajan, K. Kannan, Chandrasekharan Kesavadas, Bejoy Thomas
Focal Cortical Dysplasia (FCD) lesion analysis with complex diffusion approach. Comput. Medical Imaging Graph. 33 (7) (2009)
J. Satheeshkumar, S. Arumugaperumal, Reghunadhan Rajesh, Chandrasekharan Kesavadas
Does brain react on Indian music? - A functional magnetic resonance imaging study. IJCNN (2008)