Chandrasekharan Kesavadas

According to our database, Chandrasekharan Kesavadas authored at least 29 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Resting-State Functional Connectivity in Relapsing-Remitting Multiple Sclerosis with Mild Disability: A Data-Driven, Whole-Brain Multivoxel Pattern Analysis Study.

Gowthami Nair, Sruthi S. Nair, Karumattu Manattu Arun, Paúl Camacho, Elshal Bava, Priya Ajayaghosh, Ramshekhar N. Menon, Muralidharan Nair, Chandrasekharan Kesavadas, Sheeba Arnold Anteraper

Brain Connect., March, 2023

Unsupervised Multi-Latent Space RL Framework for Video Summarization in Ultrasound Imaging.

Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Chandrasekharan Kesavadas, Greeta Mathews

IEEE J. Biomed. Health Informatics, 2023

2022

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.

Shyna A., Ushadevi Amma C., Ansamma John, Chandrasekharan Kesavadas, Bejoy Thomas

J. Comput. Sci., 2022

covEcho Resource constrained lung ultrasound image analysis tool for faster triaging and active learning.

Jinu Joseph, Mahesh Raveendranatha Panicker, Yale Tung Chen, Kesavadas Chandrasekharan, Vimal Chacko Mondy, Anoop Ayyappan, Jineesh Valakkada, Kiran Vishnu Narayan

CoRR, 2022

Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network.

Sandeep Kaushik, Mikael Bylund, Cristina Cozzini, Dattesh Shanbhag, Steven F. Petit, Jonathan J. Wyatt, Marion I. Menzel, Carolin M. Pirkl, Bhairav Mehta, Vikas Chauhan, Kesavadas Chandrasekharan, Joakim Jonsson, Tufve Nyholm, Florian Wiesinger, Bjoern H. Menze

CoRR, 2022

An Improved Deep Persistent Memory Network for Rician Noise Reduction in MR Images.

Anate Mary Augustin, Chandrasekharan Kesavadas, P. V. Sudeep

Biomed. Signal Process. Control., 2022

RL Based Unsupervised Video Summarization Framework for Ultrasound Imaging.

Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Kesavadas Chandrasekharan, Greeta Mathews

Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

2021

Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images.

Edwin Thomas, Pawan S. Jogi, Shushant Kumar, Anmol Horo, S. Niyas, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan

IEEE J. Biomed. Health Informatics, 2021

Sub-cortical structure segmentation database for young population.

Jayanthi Sivaswamy, Alphin J. Thottupattu, Mythri V, Raghav Mehta, R. Sheelakumari, Chandrasekharan Kesavadas

CoRR, 2021

Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging.

Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker, Jack Zhang, Naveenjyote Boora, Jessica Knight, Jacob L. Jaremko, Yale Tung Chen, Kiran Vishnu Narayan, Kesavadas C

CoRR, 2021

Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging.

Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Kesavadas C, Greeta Mathews

CoRR, 2021

Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos.

Arpan Tripathi, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Kiran Vishnu Narayan, Kesavadas C

CoRR, 2021

An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19.

Mahesh Raveendranatha Panicker, Yale Tung Chen, Gayathri Malamal, Madhavanunni A. N, Kiran Vishnu Narayan, Chandrasekharan Kesavadas, A. P. Vinod

CoRR, 2021

Segmentation of focal cortical dysplasia lesions from magnetic resonance images using 3D convolutional neural networks.

S. Niyas, S. Chethana Vaisali, Iwrin Show, T. G. Chandrika, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan

Biomed. Signal Process. Control., 2021

Employing Acoustic Features To Aid Neural Networks Towards Platform Agnostic Learning In Lung Ultrasound Imaging.

Mahesh Raveendranatha Panicker, Yale Tung Chen, M. Gayathri, A. N. Madhavanunni, Kiran Vishnu Narayan, Chandrasekharan Kesavadas, A. P. Vinod

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels.

P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jeny Rajan

Pattern Recognit. Lett., 2020

2019

SWI post processing using granularity controlled edge-preserved denoising of multichannel GRE images.

Sreekanth Madhusoodhanan, Chandrasekharan Kesavadas, Joseph Suresh Paul

Int. J. Imaging Syst. Technol., 2019

Automatic detection and localization of Focal Cortical Dysplasia lesions in MRI using fully convolutional neural network.

K. M. Bijay Dev, Pawan S. Jogi, S. Niyas, S. Vinayagamani, Chandrasekharan Kesavadas, Jeny Rajan

Biomed. Signal Process. Control., 2019

Functional Connectivity of Language Regions of Stroke Patients with Expressive Aphasia During Real-Time Functional Magnetic Resonance Imaging Based Neurofeedback.

Sreedharan Sujesh, Karumattu Manattu Arun, P. N. Sylaja, Chandrasekharan Kesavadas, Ranganatha Sitaram

Brain Connect., 2019

2017

A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps.

P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jan Sijbers, Arnold J. den Dekker, Jeny Rajan

Signal Image Video Process., 2017

2015

Brain tumor segmentation in MRI images using integrated modified PSO-fuzzy approach.

Krishna Priya Remamany, Thanga Raj Chelliah, Kesavadas Chandrasekharan, Kannan Subraman

Int. Arab J. Inf. Technol., 2015

Nonlocal linear minimum mean square error methods for denoising MRI.

P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jeny Rajan

Biomed. Signal Process. Control., 2015

2014

Application of Swarm Intelligence in Fuzzy Entropy Based Image Segmentation.

Krishna Priya Remamany, C. Thangaraj, Chandrasekharan Kesavadas, S. Kannan

Proceedings of the Innovations in Intelligent Machines-5, 2014

2013

Fuzzy entropy-based MR brain image segmentation using modified particle swarm optimization.

Krishna Priya Remamany, C. Thangaraj, Chandrasekharan Kesavadas, S. Kannan

Int. J. Imaging Syst. Technol., 2013

A Genetic Algorithm Optimized Artificial Neural Network for the Segmentation of MR Images in Frontotemporal Dementia.

R. Sheela Kumari, Tinu Varghese, Chandrasekharan Kesavadas, N. Albert Singh, P. S. Mathuranath

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

Partial Fourier reconstruction using subspace projection.

Uma K., Chandrasekharan Kesavadas, Joseph Suresh Paul

Proceedings of the Fourth National Conference on Computer Vision, 2013

Longitudinal Evaluation of Structural Changes in Frontotemporal Dementia Using Artificial Neural Networks.

R. Sheela Kumari, Tinu Varghese, Chandrasekharan Kesavadas, N. Albert Singh, P. S. Mathuranath

Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013, 2013

2009

Focal Cortical Dysplasia (FCD) lesion analysis with complex diffusion approach.

Jeny Rajan, K. Kannan, Chandrasekharan Kesavadas, Bejoy Thomas

Comput. Medical Imaging Graph., 2009

2008

Does brain react on Indian music? - A functional magnetic resonance imaging study.

J. Satheeshkumar, S. Arumugaperumal, Reghunadhan Rajesh, Chandrasekharan Kesavadas

Proceedings of the International Joint Conference on Neural Networks, 2008