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ORCIDChandrasekharan Kesavadas
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Journal Articles
- 2023
[j15]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): 89-96 (2023)- [j14]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): 227-238 (2023) - 2022
- [j13]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) - [j12]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: 101546 (2022) - 2021
- [j11]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: 102951 (2021) - [j10]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): 1724-1734 (2021) - 2020
- [j9]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: 34-41 (2020) - 2019
- [j8]Sreedharan Sujesh, Karumattu Manattu 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): 613-626 (2019) - [j7]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: 218-225 (2019) - [j6]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): 311-322 (2019) - 2017
- [j5]P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jan Sijbers, Arnold J. den Dekker, Jeny Rajan:
A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps. Signal Image Video Process. 11(5): 913-920 (2017) - 2015
- [j4]P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jeny Rajan:
Nonlocal linear minimum mean square error methods for denoising MRI. Biomed. Signal Process. Control. 20: 125-134 (2015) - [j3]Krishna Priya Remamany, Thanga Raj Chelliah, Kesavadas Chandrasekharan, Kannan Subraman:
Brain tumor segmentation in MRI images using integrated modified PSO-fuzzy approach. Int. Arab J. Inf. Technol. 12(6A): 797-805 (2015) - 2013
- [j2]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): 281-288 (2013) - 2009
- [j1]Jeny Rajan, K. Kannan, Chandrasekharan Kesavadas, Bejoy Thomas:
Focal Cortical Dysplasia (FCD) lesion analysis with complex diffusion approach. Comput. Medical Imaging Graph. 33(7): 553-558 (2009)
Conference and Workshop Papers
- 2022
- [c6]Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Kesavadas Chandrasekharan, Greeta Mathews:
RL Based Unsupervised Video Summarization Framework for Ultrasound Imaging. ASMUS@MICCAI 2022: 23-33 - 2021
- [c5]Mahesh Raveendranatha Panicker, Yale Tung Chen, M. Gayathri, A. N. Madhavanunni, Kiran Vishnu Narayan, Chandrasekharan Kesavadas, A. P. Vinod:
Employing Acoustic Features To Aid Neural Networks Towards Platform Agnostic Learning In Lung Ultrasound Imaging. ICIP 2021: 170-174 - 2013
- [c4]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: 165-172 - [c3]Uma K., Chandrasekharan Kesavadas, Joseph Suresh Paul:
Partial Fourier reconstruction using subspace projection. NCVPRIPG 2013: 1-4 - [c2]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: 268-276 - 2008
- [c1]J. Satheeshkumar, S. Arumugaperumal, Reghunadhan Rajesh, Chandrasekharan Kesavadas:
Does brain react on Indian music? - A functional magnetic resonance imaging study. IJCNN 2008: 2696-2702
Parts in Books or Collections
- 2014
- [p1]Krishna Priya Remamany, C. Thangaraj, Chandrasekharan Kesavadas, S. Kannan:
Application of Swarm Intelligence in Fuzzy Entropy Based Image Segmentation. Innovations in Intelligent Machines (5) 2014: 227-245
Informal and Other Publications
- 2022
- [i7]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:
Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network. CoRR abs/2203.16288 (2022) - [i6]Jinu Joseph, Mahesh Raveendranatha Panicker, Yale Tung Chen, Kesavadas Chandrasekharan, Vimal Chacko Mondy, Anoop Ayyappan, Jineesh Valakkada, Kiran Vishnu Narayan:
covEcho Resource constrained lung ultrasound image analysis tool for faster triaging and active learning. CoRR abs/2206.10183 (2022) - 2021
- [i5]Mahesh Raveendranatha Panicker, Yale Tung Chen, Gayathri Malamal, Madhavanunni A. N, Kiran Vishnu Narayan, Chandrasekharan Kesavadas, A. P. Vinod:
An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19. CoRR abs/2106.06980 (2021) - [i4]Arpan Tripathi, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Kiran Vishnu Narayan, Kesavadas C:
Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos. CoRR abs/2106.06987 (2021) - [i3]Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Kesavadas C, Greeta Mathews:
Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging. CoRR abs/2109.01309 (2021) - [i2]Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker, Jack Zhang, Naveenjyote Boora, Jessica Knight, Jacob L. Jaremko, Yale Tung Chen, Kiran Vishnu Narayan, Kesavadas C:
Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging. CoRR abs/2109.06346 (2021) - [i1]Jayanthi Sivaswamy, Alphin J. Thottupattu, Mythri V, Raghav Mehta, R. Sheelakumari, Chandrasekharan Kesavadas:
Sub-cortical structure segmentation database for young population. CoRR abs/2111.01561 (2021)
Coauthor Index
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