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Chandrasekharan Kesavadas
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2020 – today
- 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) - [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 - [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
- [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) - [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 - [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) - 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)
2010 – 2019
- 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) - 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 - 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) - [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
2000 – 2009
- 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) - 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
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last updated on 2024-08-05 20:21 CEST by the dblp team
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