Kumaradevan Punithakumar

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 70

Top Topics

Convolutional Neural Network

Magnetic Resonance

Left Ventricular

Ultrasound Images

Top Venues

Publications

Kumaradevan Punithakumar, Ahmed Ahmed, Pierre Boulanger, Jonathan Windram, Michelle Noga, Harald Becher
Force Controlled Operation of Robotic Arm for Echocardiography Scanning. RobCE (2024)
Meruja Selvamanikkam, Michelle Noga, Nee Scze Khoo, Kumaradevan Punithakumar
High-Resolution Stereoscopic Visualization of Pediatric Echocardiography Data on Microsoft HoloLens 2. IEEE Access 12 (2024)
Srivathsan Shanmuganathan, Michelle Noga, Pierre Boulanger, Bernadette Foster, Harald Becher, Kumaradevan Punithakumar
Two-Step Rigid and Non-Rigid Image Registration for the Alignment of Three-Dimensional Echocardiography Sequences From Multiple Views. IEEE Access 12 (2024)
Thanuja Uruththirakodeeswaran, Michelle Noga, Lawrence H. Le, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar
3D-3D Rigid Registration of Echocardiographic Images With Significant Overlap Using Particle Filter. IEEE Access 12 (2024)
Jonathan Hampshire, Bryan J. Dicken, Thanuja Uruththirakodeeswaran, Kumaradevan Punithakumar, Michelle Noga
Pediatric patient-specific three-dimensional virtual models for surgical decision making in resection of hepatic and retroperitoneal tumors. Int. J. Comput. Assist. Radiol. Surg. 18 (10) (2023)
Srivathsan Shanmuganathan, Michelle Noga, Bernadette Foster, Harald Becher, Kumaradevan Punithakumar
Image Registration for Multi-View Three-Dimensional Echocardiography Sequences. BIBE (2023)
Sharanya Balachandran, Xuebin Qin, Chen Jiang, Ehsan Seyed Blouri, Amir Forouzandeh, Masood Dehghan, Dornoosh Zonoobi, Jeevesh Kapur, Jacob L. Jaremko, Kumaradevan Punithakumar
ACU2E-Net: A novel predict-refine attention network for segmentation of soft-tissue structures in ultrasound images. Comput. Biol. Medicine 157 (2023)
Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger, Harald Becher
Integration of Robotic Technology for Combining Multiple Views in Three-Dimensional Echocardiography. ICAC (2023)
Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 87 (2023)
Kartik Narayan Sahoo, Kumaradevan Punithakumar
A Deep Learning Approach for the Segmentation of Kidney, Tumor and Cyst in Computed Tomography Scans. KiTS@MICCAI (2023)
Deepa Krishnaswamy, Michelle Noga, Harald Becher, Pierre Boulanger, Kumaradevan Punithakumar
A Novel 3D-to-3D Diffeomorphic Registration Algorithm With Applications to Left Ventricle Segmentation in MR and Ultrasound Sequences. IEEE Access 11 (2023)
Ameneh Sheikhjafari, Michelle Noga, Ahmed Ahmed, Nilanjan Ray, Kumaradevan Punithakumar
GMCNet: A Generative Multi-Resolution Framework for Cardiac Registration. IEEE Access 11 (2023)
Gongning Luo, Kuanquan Wang, Jun Liu, Shuo Li, Xinjie Liang, Xiangyu Li, Shaowei Gan, Wei Wang, Suyu Dong, Wenyi Wang, Pengxin Yu, Enyou Liu, Hongrong Wei, Na Wang, Jia Guo, Huiqi Li, Zhao Zhang, Ziwei Zhao, Na Gao, Nan An, Ashkan Pakzad, Bojidar Rangelov, Jiaqi Dou, Song Tian, Zeyu Liu, Yi Wang, Ampatishan Sivalingam, Kumaradevan Punithakumar, Zhaowen Qiu, Xin Gao
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge. CoRR (2023)
Kumaradevan Punithakumar, Michelle Noga
Automated Segmentation of the Left Atrium and Scar Using Deep Convolutional Neural Networks. LAScarQS@MICCAI (2022)
Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray
A training-free recursive multiresolution framework for diffeomorphic deformable image registration. CoRR (2022)
Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar
Deep Learning Based Parametrization of Diffeomorphic Image Registration for the Application of Cardiac Image Segmentation. BIBM (2022)
Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field. CoRR (2022)
Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR (2022)
Alejandro Mora-Rubio, Michelle Noga, Kumaradevan Punithakumar
Deep Learning Based Classification and Segmentation for Cardiac Magnetic Resonance Imaging with Respiratory Motion Artifacts. STACOM@MICCAI (2022)
Shrimanti Ghosh, Kumaradevan Punithakumar, Fleur Huang, Geetha Menon, Pierre Boulanger
Deep Learning using Pre-Brachytherapy MRI to Automatically Predict Applicator Induced Complex Uterine Deformation. EMBC (2022)
Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray
A training-free recursive multiresolution framework for diffeomorphic deformable image registration. Appl. Intell. 52 (11) (2022)
Xiaoran Zhang, Michelle Noga, David Glynn Martin, Kumaradevan Punithakumar
Fully automated left atrium segmentation from anatomical cine long-axis MRI sequences using deep convolutional neural network with unscented Kalman filter. Medical Image Anal. 68 (2021)
Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences. CoRR (2021)
Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40 (12) (2021)
Kumaradevan Punithakumar, Adam Carscadden, Michelle Noga
Automated Segmentation of the Right Ventricle from Magnetic Resonance Imaging Using Deep Convolutional Neural Networks. STACOM@MICCAI (2021)
Atefeh Shahroudnejad, Roberto Vega, Amir Forouzandeh, Sharanya Balachandran, Jacob L. Jaremko, Michelle Noga, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Kumaradevan Punithakumar
Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers. EMBC (2021)
Rajshree Daulatabad, Roberto Vega, Jacob L. Jaremko, Jeevesh Kapur, Abhilash Rakkunedeth Hareendranathan, Kumaradevan Punithakumar
Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation. EMBC (2021)
Atefeh Shahroudnejad, Xuebin Qin, Sharanya Balachandran, Masood Dehghan, Dornoosh Zonoobi, Jacob L. Jaremko, Jeevesh Kapur, Martin Jägersand, Michelle Noga, Kumaradevan Punithakumar
TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection. MICCAI (1) (2021)
Xiaoran Zhang, Yan Li, Yicun Liu, Shu-Xia Tang, Xiaoguang Liu, Kumaradevan Punithakumar, Dawei Shi
Automatic spinal cord segmentation from axial-view MRI slices using CNN with grayscale regularized active contour propagation. Comput. Biol. Medicine 132 (2021)
Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar
Fully Automated Deep Learning Based Segmentation of Normal, Infarcted and Edema Regions from Multiple Cardiac MRI Sequences. MyoPS@MICCAI (2020)
Juiwen Ting, Kumaradevan Punithakumar, Nilanjan Ray
Multiview 3-D Echocardiography Image Fusion with Mutual Information Neural Estimation. BIBM (2020)
Shrimanti Ghosh, Nilanjan Ray, Pierre Boulanger, Kumaradevan Punithakumar, Michelle Noga
Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with Autoencoder. ISBI (2020)
Fatemeh Abdolali, Atefeh Shahroudnejad, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko, Michelle Noga, Kumaradevan Punithakumar
A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future. CoRR (2020)
Frincy Clement, Asket Kaur, Maryam Sedghi, Deepa Krishnaswamy, Kumaradevan Punithakumar
Interactive Data Driven Visualization for COVID-19 with Trends, Analytics and Forecasting. IV (2020)
Matthew Regehr, Andrew Volk, Michelle Noga, Kumaradevan Punithakumar
Machine Learning and Graph Based Approach to Automatic Right Atrial Segmentation from Magnetic Resonance Imaging. ISBI (2020)
Xiaoran Zhang, Michelle Noga, David Glynn Martin, Kumaradevan Punithakumar
Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter. CoRR (2020)
Fatemeh Abdolali, Jeevesh Kapur, Jacob L. Jaremko, Michelle Noga, Abhilash Rakkunedeth Hareendranathan, Kumaradevan Punithakumar
Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks. Comput. Biol. Medicine 122 (2020)
Mengxun Li, Xiangyang Xu, Kumaradevan Punithakumar, Lawrence H. Le, Neelambar R. Kaipatur, Bin Shi
Automated integration of facial and intra-oral images of anterior teeth. Comput. Biol. Medicine 122 (2020)
Jirí Borovec, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao Chang, Stefan Heldmann, Kimmo Kartasalo, Leena Latonen, Johannes Lotz, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul A. Yushkevich, Shengyu Zhao, Arrate Muñoz-Barrutia
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39 (10) (2020)
Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar
Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences. CoRR (2020)
Adam Carscadden, Michelle Noga, Kumaradevan Punithakumar
A Deep Convolutional Neural Network Approach for the Segmentation of Cardiac Structures from MRI Sequences. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Xiao Lou, Youzhe Zhu, Kumaradevan Punithakumar, Lawrence H. Le, Baosheng Li
Esophagus Segmentation in Computed Tomography Images Using a U-Net Neural Network With a Semiautomatic Labeling Method. IEEE Access 8 (2020)
Ahmed Ahmed, Deepa Krishnaswamy, Kumaradevan Punithakumar, Michelle Noga
Validation of Diffeomorphic Registration on Cine Cardiac MR via Direct Frame-to-Frame Comparison with HARP Tracking on Tagged MR. EMBC (2020)
Deepa Krishnaswamy, Michelle Noga, Kumaradevan Punithakumar
Validation of a diffeomorphic registration algorithm using true deformation computed from thin plate spline interpolation. EMBC (2020)
Kim-Cuong T. Nguyen, Neelambar R. Kaipatur, Edmond H. M. Lou, Paul W. Major, Kumaradevan Punithakumar, Lawrence H. Le
Registration of Ultrasound and CBCT Images for Enhancing Tooth-Periodontinum Visualization: a Feasibility Study. MAPR (2019)
Dat Q. Duong, Kim-Cuong T. Nguyen, Neelambar R. Kaipatur, Edmond H. M. Lou, Michelle Noga, Paul W. Major, Kumaradevan Punithakumar, Lawrence H. Le
Fully Automated Segmentation of Alveolar Bone Using Deep Convolutional Neural Networks from Intraoral Ultrasound Images. EMBC (2019)
Hakimeh Purmehdi, Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Kumaradevan Punithakumar
Right Ventricular Segmentation from MRI Using Deep Convolutional Neural Networks. EMBC (2019)
Nazanin Tahmasebi, Pierre Boulanger, Jihyun Yun, B. Gino Fallone, Kumaradevan Punithakumar
Tracking tumor boundary using point correspondence for adaptive radio therapy. Comput. Methods Programs Biomed. 165 (2018)
Kumaradevan Punithakumar, Andrew Whittle, Marina Choy, Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Pierre Boulanger, Harald Becher
Multiview Three-Dimensional Echocardiography Image Fusion Using a Passive Measurement Arm. EMBC (2018)
Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography. EMBC (2018)
Nazanin Tahmasebi, Pierre Boulanger, Michelle Noga, Kumaradevan Punithakumar
A Fully Convolutional Deep Neural Network for Lung Tumor Boundary Tracking in MRI. EMBC (2018)
Xiaoran Zhang, David Glynn Martin, Michelle Noga, Kumaradevan Punithakumar
Fully Automated Left Atrial Segmentation from MR Image Sequences Using Deep Convolutional Neural Network and Unscented Kalman Filter. BIBM (2018)
Kim-Cuong T. Nguyen, Danni Shi, Neelambar R. Kaipatur, Edmond H. M. Lou, Paul W. Major, Kumaradevan Punithakumar, Lawrence H. Le
Graph Cuts-based Segmentation of Alveolar Bone in Ultrasound Imaging. BIBM (2018)
Sadegh Charmchi, Kumaradevan Punithakumar, Pierre Boulanger
Optimizing U-Net to Segment Left Ventricle from Magnetic Resonance Imaging. BIBM (2018)
Navaneeth Kamballur Kottayil, Irene Cheng, Kumaradevan Punithakumar, Anup Basu
Adapting Texture Compression to Perceptual Quality Metric for Textured 3D Models. ICSM (2018)
Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar
Random Walker Framework for Sensor-Based Echocardiography Fusion. IEEE Access 6 (2018)
Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography. IEEE Access 6 (2018)
Nazanin Tahmasebi, Pierre Boulanger, Kumaradevan Punithakumar
Parallel implementation of a nonrigid image registration algorithm for lung tumor boundary tracking in quasi real-time MRI. EMBC (2017)
Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Chad Diederichs, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
Semiautomatic classification of acetabular shape from three-dimensional ultrasound for diagnosis of infant hip dysplasia using geometric features. Int. J. Comput. Assist. Radiol. Surg. 12 (3) (2017)
Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Dana Cobzas, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
Toward automatic diagnosis of hip dysplasia from 2D ultrasound. ISBI (2017)
Kumaradevan Punithakumar, Pierre Boulanger, Michelle Noga
A GPU-Accelerated Deformable Image Registration Algorithm With Applications to Right Ventricular Segmentation. IEEE Access 5 (2017)
Seyed-Parsa Hojjat, Ismail Ben Ayed, Gregory J. Garvin, Kumaradevan Punithakumar
Spine labeling in MRI via regularized distribution matching. Int. J. Comput. Assist. Radiol. Surg. 12 (11) (2017)
Abhilash Rakkunedeth Hareendranathan, Myles Mabee, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
Toward automated classification of acetabular shape in ultrasound for diagnosis of DDH: Contour alpha angle and the rounding index. Comput. Methods Programs Biomed. 129 (2016)
Kumaradevan Punithakumar, Abhilash Rakkunedeth Hareendranathan, Riitta Paakkanen, Nehan Khan, Michelle Noga, Pierre Boulanger, Harald Becher
Multiview echocardiography fusion using an electromagnetic tracking system. EMBC (2016)
Abhilash Rakkunedeth Hareendranathan, Michelle Hanbidge, Allen He, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar
Patient movement compensation for 3D echocardiography fusion. EMBC (2016)
Nazanin Tahmasebi, Pierre Boulanger, Kumaradevan Punithakumar
Lung tumor boundary tracking in MRI with moving mesh correspondences for adaptive radio therapy. EMBC (2016)
Abhilash Rakkunedeth Hareendranathan, Myles Mabee, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia. Int. J. Comput. Assist. Radiol. Surg. 11 (1) (2016)
Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Chad Diederichs, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
Hip segmentation from MRI volumes in infants for DDH diagnosis and treatment planning. EMBC (2016)
Kumaradevan Punithakumar, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li, Pierre Boulanger, Harald Becher, Michelle Noga
Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences. Comput. Methods Programs Biomed. 124 (2016)
Kumaradevan Punithakumar, Michelle Noga, Ismail Ben Ayed, Pierre Boulanger
Right ventricular segmentation in cardiac MRI with moving mesh correspondences. Comput. Medical Imaging Graph. 43 (2015)
Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger
A GPU accelerated moving mesh correspondence algorithm with applications to RV segmentation. EMBC (2015)
Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li
Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework. IEEE Trans. Pattern Anal. Mach. Intell. 37 (9) (2015)
Kumaradevan Punithakumar, Peter W. Wood, Marina Biamonte, Michelle Noga, Pierre Boulanger, Harald Becher
Cardiac ultrasound multiview fusion using a multicamera tracking system. BHI (2014)
Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Terry M. Peters, Shuo Li
Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features. IEEE Trans. Medical Imaging 33 (2) (2014)
Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li
Detecting left ventricular impaired relaxation using MR imaging. BHI (2014)
Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger
Cardiac right ventricular segmentation via point correspondence. EMBC (2013)
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Jaron Chong, Shuo Li
Regional heart motion abnormality detection: An information theoretic approach. Medical Image Anal. 17 (3) (2013)
Cyrus M. S. Nambakhsh, Jing Yuan, Kumaradevan Punithakumar, Aashish Goela, Martin Rajchl, Terry M. Peters, Ismail Ben Ayed
Left ventricle segmentation in MRI via convex relaxed distribution matching. Medical Image Anal. 17 (8) (2013)
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Shuo Li
Regional Heart Motion Abnormality Detection via Multiview Fusion. MICCAI (2) (2012)
Ismail Ben Ayed, Kumaradevan Punithakumar, Rashid Minhas, Rohit Joshi, Gregory J. Garvin
Vertebral Body Segmentation in MRI via Convex Relaxation and Distribution Matching. MICCAI (1) (2012)
Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian G. Ross, Shuo Li
Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure. Medical Image Anal. 16 (1) (2012)
Biruk K. Habtemariam, Ampikathasan Aravinthan, Ratnasingham Tharmarasa, Kumaradevan Punithakumar, Thomas Lang, Thia Kirubarajan
Distributed Tracking with a PHD Filter using Efficient Measurement Encoding. J. Adv. Inf. Fusion 7 (2) (2012)
Kumaradevan Punithakumar, Jing Yuan, Ismail Ben Ayed, Shuo Li, Yuri Boykov
A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation. SIAM J. Imaging Sci. 5 (4) (2012)
Nandakumaran Nadarajah, Thia Kirubarajan, Thomas Lang, Michael McDonald, Kumaradevan Punithakumar
Multitarget Tracking using Probability Hypothesis Density Smoothing. IEEE Trans. Aerosp. Electron. Syst. 47 (4) (2011)
Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters, Shuo Li
Assessment of Regional Myocardial Function via Statistical Features in MR Images. MICCAI (3) (2011)
Ismail Ben Ayed, Kumaradevan Punithakumar, Gregory J. Garvin, Walter Romano, Shuo Li
Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation. IPMI (2011)
Mohammad Saleh Nambakhsh, Kumaradevan Punithakumar, Ismail Ben Ayed, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li
A neural network learned information measures for heart motion abnormality detection. Medical Imaging: Image Processing (2011)
Mohammad Saleh Nambakhsh, Jing Yuan, Ismail Ben Ayed, Kumaradevan Punithakumar, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li
A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI. IPMI (2011)
Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian G. Ross, Shuo Li
Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure. CVPR (2010)
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li
Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering. MICCAI (1) (2010)
Kumaradevan Punithakumar, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong, Shuo Li
Detection of left ventricular motion abnormality via information measures and Bayesian filtering. IEEE Trans. Inf. Technol. Biomed. 14 (4) (2010)
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li
Tracking Endocardial Motion Via Multiple Model Filtering. IEEE Trans. Biomed. Eng. 57 (8) (2010)
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li
Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering. ACCV (3) (2009)
Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong
Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering. MICCAI (1) (2009)
Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li, Ali Islam, Jaron Chong
Left Ventricle Segmentation via Graph Cut Distribution Matching. MICCAI (1) (2009)
Amin Zia, Thiagalingam Kirubarajan, James P. Reilly, Derek Yee, Kumaradevan Punithakumar, Shahram Shirani
An EM Algorithm for Nonlinear State Estimation With Model Uncertainties. IEEE Trans. Signal Process. 56 (3) (2008)
Derek Yee, James P. Reilly, Thia Kirubarajan, Kumaradevan Punithakumar
Approximate Conditional Mean Particle Filtering for Linear/Nonlinear Dynamic State Space Models. IEEE Trans. Signal Process. 56 (12) (2008)