Kumaradevan Punithakumar
Orcid: 0000-0003-3835-1079
According to our database1,
Kumaradevan Punithakumar
authored at least 91 papers
between 2008 and 2024.
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Bibliography
2024
High-Resolution Stereoscopic Visualization of Pediatric Echocardiography Data on Microsoft HoloLens 2.
IEEE Access, 2024
2023
Pediatric patient-specific three-dimensional virtual models for surgical decision making in resection of hepatic and retroperitoneal tumors.
Int. J. Comput. Assist. Radiol. Surg., October, 2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023
ACU2E-Net: A novel predict-refine attention network for segmentation of soft-tissue structures in ultrasound images.
Comput. Biol. Medicine, May, 2023
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal., 2023
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.
CoRR, 2023
IEEE Access, 2023
A Novel 3D-to-3D Diffeomorphic Registration Algorithm With Applications to Left Ventricle Segmentation in MR and Ultrasound Sequences.
IEEE Access, 2023
A Deep Learning Approach for the Segmentation of Kidney, Tumor and Cyst in Computed Tomography Scans.
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023
Integration of Robotic Technology for Combining Multiple Views in Three-Dimensional Echocardiography.
Proceedings of the 28th International Conference on Automation and Computing, 2023
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
2022
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field.
CoRR, 2022
A training-free recursive multiresolution framework for diffeomorphic deformable image registration.
Appl. Intell., 2022
Deep Learning Based Classification and Segmentation for Cardiac Magnetic Resonance Imaging with Respiratory Motion Artifacts.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Automated Segmentation of the Left Atrium and Scar Using Deep Convolutional Neural Networks.
Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022
Deep Learning using Pre-Brachytherapy MRI to Automatically Predict Applicator Induced Complex Uterine Deformation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Deep Learning Based Parametrization of Diffeomorphic Image Registration for the Application of Cardiac Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
IEEE Trans. Medical Imaging, 2021
Fully automated left atrium segmentation from anatomical cine long-axis MRI sequences using deep convolutional neural network with unscented Kalman filter.
Medical Image Anal., 2021
A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences.
CoRR, 2021
Automatic spinal cord segmentation from axial-view MRI slices using CNN with grayscale regularized active contour propagation.
Comput. Biol. Medicine, 2021
Automated Segmentation of the Right Ventricle from Magnetic Resonance Imaging Using Deep Convolutional Neural Networks.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
IEEE Trans. Medical Imaging, 2020
A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future.
CoRR, 2020
Comput. Biol. Medicine, 2020
Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks.
Comput. Biol. Medicine, 2020
Esophagus Segmentation in Computed Tomography Images Using a U-Net Neural Network With a Semiautomatic Labeling Method.
IEEE Access, 2020
Fully Automated Deep Learning Based Segmentation of Normal, Infarcted and Edema Regions from Multiple Cardiac MRI Sequences.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020
A Deep Convolutional Neural Network Approach for the Segmentation of Cardiac Structures from MRI Sequences.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Interactive Data Driven Visualization for COVID-19 with Trends, Analytics and Forecasting.
Proceedings of the 24th International Conference on Information Visualisation, 2020
Machine Learning and Graph Based Approach to Automatic Right Atrial Segmentation from Magnetic Resonance Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with Autoencoder.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Validation of a diffeomorphic registration algorithm using true deformation computed from thin plate spline interpolation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Validation of Diffeomorphic Registration on Cine Cardiac MR via Direct Frame-to-Frame Comparison with HARP Tracking on Tagged MR.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Multiview 3-D Echocardiography Image Fusion with Mutual Information Neural Estimation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Registration of Ultrasound and CBCT Images for Enhancing Tooth-Periodontinum Visualization: a Feasibility Study.
Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Fully Automated Segmentation of Alveolar Bone Using Deep Convolutional Neural Networks from Intraoral Ultrasound Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Comput. Methods Programs Biomed., 2018
A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography.
IEEE Access, 2018
Proceedings of the Smart Multimedia - First International Conference, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Multiview Three-Dimensional Echocardiography Image Fusion Using a Passive Measurement Arm.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Fully Automated Left Atrial Segmentation from MR Image Sequences Using Deep Convolutional Neural Network and Unscented Kalman Filter.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Int. J. Comput. Assist. Radiol. Surg., 2017
Semiautomatic classification of acetabular shape from three-dimensional ultrasound for diagnosis of infant hip dysplasia using geometric features.
Int. J. Comput. Assist. Radiol. Surg., 2017
A GPU-Accelerated Deformable Image Registration Algorithm With Applications to Right Ventricular Segmentation.
IEEE Access, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Parallel implementation of a nonrigid image registration algorithm for lung tumor boundary tracking in quasi real-time MRI.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences.
Comput. Methods Programs Biomed., 2016
Toward automated classification of acetabular shape in ultrasound for diagnosis of DDH: Contour alpha angle and the rounding index.
Comput. Methods Programs Biomed., 2016
A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia.
Int. J. Comput. Assist. Radiol. Surg., 2016
Lung tumor boundary tracking in MRI with moving mesh correspondences for adaptive radio therapy.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Hip segmentation from MRI volumes in infants for DDH diagnosis and treatment planning.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Comput. Medical Imaging Graph., 2015
A GPU accelerated moving mesh correspondence algorithm with applications to RV segmentation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features.
IEEE Trans. Medical Imaging, 2014
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
Medical Image Anal., 2013
Medical Image Anal., 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
SIAM J. Imaging Sci., 2012
Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure.
Medical Image Anal., 2012
J. Adv. Inf. Fusion, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2011
IEEE Trans. Aerosp. Electron. Syst., 2011
A neural network learned information measures for heart motion abnormality detection.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI.
Proceedings of the Information Processing in Medical Imaging, 2011
Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2011
2010
Detection of left ventricular motion abnormality via information measures and Bayesian filtering.
IEEE Trans. Inf. Technol. Biomed., 2010
IEEE Trans. Biomed. Eng., 2010
Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering.
Proceedings of the Computer Vision, 2009
2008
IEEE Trans. Signal Process., 2008
Approximate Conditional Mean Particle Filtering for Linear/Nonlinear Dynamic State Space Models.
IEEE Trans. Signal Process., 2008