Does brain react on Indian music? - A functional magnetic resonance imaging study. - J. Satheeshkumar 001; S. Arumugaperumal; Reghunadhan Rajesh; Chandrasekharan Kesavadas (IJCNN, 2008)

Focal Cortical Dysplasia (FCD) lesion analysis with complex diffusion approach. - Jeny Rajan; K. Kannan; Chandrasekharan Kesavadas; Bejoy Thomas (Comput. Medical Imaging Graph., 2009)

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 (FICTA, 2013)

Partial Fourier reconstruction using subspace projection. - Uma K.; Chandrasekharan Kesavadas; Joseph Suresh Paul (NCVPRIPG, 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 (SEMCCO (2), 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)

Application of Swarm Intelligence in Fuzzy Entropy Based Image Segmentation. - Krishna Priya Remamany; C. Thangaraj; Chandrasekharan Kesavadas; S. Kannan (Innovations in Intelligent Machines (5), 2014)

Nonlocal linear minimum mean square error methods for denoising MRI. - P. V. Sudeep; Palanisamy Ponnusamy; Chandrasekharan Kesavadas; Jeny Rajan (Biomed. Signal Process. Control., 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)

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)

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)

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)

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)

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)

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 001 (ICIP, 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)

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 001 (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)

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)

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)

Sub-cortical structure segmentation database for young population. - Jayanthi Sivaswamy; Alphin J. Thottupattu; Mythri V; Raghav Mehta; R. Sheelakumari; Chandrasekharan Kesavadas (CoRR, 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)

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 (ASMUS@MICCAI, 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)

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; et al. (CoRR, 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)

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)

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)

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., 2023)