Kumaradevan Punithakumar

116 papers A* 1B 2C 3Journal 57Unranked 53

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy. IEEE Trans. Medical Imaging Rina Bao, Anna N. Foster, Ya'Nan Song, Rutvi Vyas, Ankush Kesri, Imad Eddine Toubal, Elham Soltani Kazemi, Gani Rahmon, Taci Kucukpinar, Mohamed Almansour, Mai-Lan Ho, Kannappan Palaniappan, Dean Ninalga, Chiranjeewee Prasad Koirala, Sovesh Mohapatra, Gottfried Schlaug, Marek Wodzinski, Henning Müller, David G. Ellis, Michele R. Aizenberg, M. Arda Aydin, Elvin Abdinli, Gozde Unal, Nazanin Tahmasebi, Kumaradevan Punithakumar, Tian Song, Yun Peng, Sara V. Bates, Randy Hirschtick, Patricia Ellen Grant, Yangming Ou
2026	J	`jnl`	Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge. Medical Image Anal. Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2026	J	`jnl`	Speckle Noise Reduction Techniques in Ultrasound Imaging: A comprehensive review of the last two decades (2005-2024). Comput. Methods Programs Biomed. Anparasy Sivaanpu, Kumaradevan Punithakumar, Rui Zheng, Kim-Cuong T. Nguyen, Michelle Noga, Dean Ta, Edmond H. M. Lou, Lawrence H. Le
2025	—	`conf`	A Comparison of Deep Learning Models for Automatic Left-Ventricular Segmentation in 3D Echocardiography. ISBI Ishani DasGupta, Nilanjan Ray, Kumaradevan Punithakumar
2025	J	`jnl`	A Survey of Autonomous Robotic Ultrasound Scanning Systems. IEEE Access Khushboo Munir, Abdullah F. Al-Battal, Ammar Alsheghri, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
2025	J	`jnl`	Accelerated 3D-3D rigid registration of echocardiographic images obtained from apical window using particle filter. CoRR Thanuja Uruththirakodeeswaran, Harald Becher, Michelle Noga, Lawrence H. Le, Pierre Boulanger, Jonathan Windram, Kumaradevan Punithakumar
2025	—	`conf`	Adaptive Collaborative Learning Polyp Segmentation Framework Based on Contour-Driven Parallel Attention Network. ISBI Jingwen Cong, Kumaradevan Punithakumar, Lixin Tang, Michelle Noga
2025	J	`jnl`	Computerized Diagnosis Methods for Pediatric Cardiology: A Review. IEEE Access R. Shantha Selvakumari, Kumaradevan Punithakumar, D. Selvathi, S. Chrisilla, R. Sri Abinaya, Nilanjan Ray
2025	J	`jnl`	Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. CoRR Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2025	B	`conf`	Glasses-Free Holographic Visualization of Pediatric Computed Tomography DICOM Data on Looking Glass 16" OLED. CBMS Qianyu Xie, Michelle Noga, Kumaradevan Punithakumar
2025	C	`conf`	Improving Right Ventricle Segmentation in Cardiac Magnetic Resonance Imaging Through Transfer Learning. BIBE Abbas Rizvi, Ampatishan Sivalingam, Ramesh Mahdavifar, Liang Zhong, Michelle Noga, Kumaradevan Punithakumar
2025	—	`conf`	OralSAM: One-Shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy. MICCAI (7) Logiraj Kumaralingam, Anparasy Sivaanpu, Manh-Hai Hoang, Javaneh Alavi, Kim-Cuong T. Nguyen, Kumaradevan Punithakumar, Edmond H. M. Lou, Paul W. Major, Lawrence H. Le
2024	J	`jnl`	3D-3D Rigid Registration of Echocardiographic Images With Significant Overlap Using Particle Filter. IEEE Access Thanuja Uruththirakodeeswaran, Michelle Noga, Lawrence H. Le, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar
2024	—	`conf`	Denoising Echocardiography with an Improved Diffusion Model. EMBC Anparasy Sivaanpu, Michelle Noga, Harald Becher, Kumaradevan Punithakumar, Lawrence H. Le
2024	J	`jnl`	DetSegDiff: A joint periodontal landmark detection and segmentation in intraoral ultrasound using edge-enhanced diffusion-based network. Comput. Biol. Medicine Logiraj Kumaralingam, Hoang B. V. Dinh, Kim-Cuong T. Nguyen, Kumaradevan Punithakumar, Thanh-Giang La, Edmond H. M. Lou, Paul W. Major, Lawrence H. Le
2024	—	`conf`	Final Stroke Infarct Segmentation Using Deep Neural Networks. SWITCH/ISLES@MICCAI Luan Matheus Trindade Dalmazo, Kumaradevan Punithakumar
2024	—	`conf`	Force Controlled Operation of Robotic Arm for Echocardiography Scanning. RobCE Kumaradevan Punithakumar, Ahmed Ahmed, Pierre Boulanger, Jonathan Windram, Michelle Noga, Harald Becher
2024	J	`jnl`	High-Resolution Stereoscopic Visualization of Pediatric Echocardiography Data on Microsoft HoloLens 2. IEEE Access Meruja Selvamanikkam, Michelle Noga, Nee Scze Khoo, Kumaradevan Punithakumar
2024	J	`jnl`	Neural implicit surface reconstruction of freehand 3D ultrasound volume with geometric constraints. Medical Image Anal. Hongbo Chen, Logiraj Kumaralingam, Shuhang Zhang, Sheng Song, Fayi Zhang, Haibin Zhang, Thanh-Tu Pham, Kumaradevan Punithakumar, Edmond H. M. Lou, Yuyao Zhang, Lawrence H. Le, Rui Zheng
2024	J	`jnl`	Speckle Noise Reduction for Medical Ultrasound Images Using Hybrid CNN-Transformer Network. IEEE Access Anparasy Sivaanpu, Kumaradevan Punithakumar, Rui Zheng, Michelle Noga, Dean Ta, Edmond H. M. Lou, Lawrence H. Le
2024	J	`jnl`	Two-Step Rigid and Non-Rigid Image Registration for the Alignment of Three-Dimensional Echocardiography Sequences From Multiple Views. IEEE Access Srivathsan Shanmuganathan, Michelle Noga, Pierre Boulanger, Bernadette Foster, Harald Becher, Kumaradevan Punithakumar
2023	—	`conf`	A Deep Learning Approach for the Segmentation of Kidney, Tumor and Cyst in Computed Tomography Scans. KiTS@MICCAI Kartik Narayan Sahoo, Kumaradevan Punithakumar
2023	—	`conf`	A Deep Neural Network Approach for the Lesion Segmentation from Neonatal Brain Magnetic Resonance Imaging. BONBID-HIE@MICCAI Nazanin Tahmasebi, Kumaradevan Punithakumar
2023	J	`jnl`	A Novel 3D-to-3D Diffeomorphic Registration Algorithm With Applications to Left Ventricle Segmentation in MR and Ultrasound Sequences. IEEE Access Deepa Krishnaswamy, Michelle Noga, Harald Becher, Pierre Boulanger, Kumaradevan Punithakumar
2023	J	`jnl`	ACU2E-Net: A novel predict-refine attention network for segmentation of soft-tissue structures in ultrasound images. Comput. Biol. Medicine Sharanya Balachandran, Xuebin Qin, Chen Jiang, Ehsan Seyed Blouri, Amir Forouzandeh, Masood Dehghan, Dornoosh Zonoobi, Jeevesh Kapur, Jacob L. Jaremko, Kumaradevan Punithakumar
2023	J	`jnl`	Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 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
2023	J	`jnl`	Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge. CoRR 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
2023	J	`jnl`	GMCNet: A Generative Multi-Resolution Framework for Cardiac Registration. IEEE Access Ameneh Sheikhjafari, Michelle Noga, Ahmed Ahmed, Nilanjan Ray, Kumaradevan Punithakumar
2023	C	`conf`	Image Registration for Multi-View Three-Dimensional Echocardiography Sequences. BIBE Srivathsan Shanmuganathan, Michelle Noga, Bernadette Foster, Harald Becher, Kumaradevan Punithakumar
2023	—	`conf`	Integration of Robotic Technology for Combining Multiple Views in Three-Dimensional Echocardiography. ICAC Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger, Harald Becher
2023	J	`jnl`	MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 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
2023	J	`jnl`	Pediatric patient-specific three-dimensional virtual models for surgical decision making in resection of hepatic and retroperitoneal tumors. Int. J. Comput. Assist. Radiol. Surg. Jonathan Hampshire, Bryan J. Dicken, Thanuja Uruththirakodeeswaran, Kumaradevan Punithakumar, Michelle Noga
2022	J	`jnl`	A training-free recursive multiresolution framework for diffeomorphic deformable image registration. Appl. Intell. Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray
2022	J	`jnl`	A training-free recursive multiresolution framework for diffeomorphic deformable image registration. CoRR Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray
2022	—	`conf`	Automated Segmentation of the Left Atrium and Scar Using Deep Convolutional Neural Networks. LAScarQS@MICCAI Kumaradevan Punithakumar, Michelle Noga
2022	—	`conf`	Deep Learning Based Classification and Segmentation for Cardiac Magnetic Resonance Imaging with Respiratory Motion Artifacts. STACOM@MICCAI Alejandro Mora-Rubio, Michelle Noga, Kumaradevan Punithakumar
2022	—	`conf`	Deep Learning Based Parametrization of Diffeomorphic Image Registration for the Application of Cardiac Image Segmentation. BIBM Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar
2022	—	`conf`	Deep Learning using Pre-Brachytherapy MRI to Automatically Predict Applicator Induced Complex Uterine Deformation. EMBC Shrimanti Ghosh, Kumaradevan Punithakumar, Fleur Huang, Geetha Menon, Pierre Boulanger
2022	J	`jnl`	MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR 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
2022	J	`jnl`	Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field. CoRR Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar
2021	J	`jnl`	A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences. CoRR Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
2021	—	`conf`	Automated Segmentation of the Right Ventricle from Magnetic Resonance Imaging Using Deep Convolutional Neural Networks. STACOM@MICCAI Kumaradevan Punithakumar, Adam Carscadden, Michelle Noga
2021	J	`jnl`	Automatic spinal cord segmentation from axial-view MRI slices using CNN with grayscale regularized active contour propagation. Comput. Biol. Medicine Xiaoran Zhang, Yan Li, Yicun Liu, Shu-Xia Tang, Xiaoguang Liu, Kumaradevan Punithakumar, Dawei Shi
2021	J	`jnl`	Fully automated left atrium segmentation from anatomical cine long-axis MRI sequences using deep convolutional neural network with unscented Kalman filter. Medical Image Anal. Xiaoran Zhang, Michelle Noga, David Glynn Martin, Kumaradevan Punithakumar
2021	—	`conf`	Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation. EMBC Rajshree Daulatabad, Roberto Vega, Jacob L. Jaremko, Jeevesh Kapur, Abhilash Rakkunedeth Hareendranathan, Kumaradevan Punithakumar
2021	J	`jnl`	Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 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. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir
2021	—	`conf`	TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection. MICCAI (1) Atefeh Shahroudnejad, Xuebin Qin, Sharanya Balachandran, Masood Dehghan, Dornoosh Zonoobi, Jacob L. Jaremko, Jeevesh Kapur, Martin Jägersand, Michelle Noga, Kumaradevan Punithakumar
2021	—	`conf`	Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers. EMBC Atefeh Shahroudnejad, Roberto Vega, Amir Forouzandeh, Sharanya Balachandran, Jacob L. Jaremko, Michelle Noga, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Kumaradevan Punithakumar
2020	—	`conf`	A Deep Convolutional Neural Network Approach for the Segmentation of Cardiac Structures from MRI Sequences. M&Ms and EMIDEC/STACOM@MICCAI Adam Carscadden, Michelle Noga, Kumaradevan Punithakumar
2020	J	`jnl`	A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future. CoRR Fatemeh Abdolali, Atefeh Shahroudnejad, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko, Michelle Noga, Kumaradevan Punithakumar
2020	J	`jnl`	ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 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
2020	—	`conf`	Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with Autoencoder. ISBI Shrimanti Ghosh, Nilanjan Ray, Pierre Boulanger, Kumaradevan Punithakumar, Michelle Noga
2020	J	`jnl`	Automated integration of facial and intra-oral images of anterior teeth. Comput. Biol. Medicine Mengxun Li, Xiangyang Xu, Kumaradevan Punithakumar, Lawrence H. Le, Neelambar R. Kaipatur, Bin Shi
2020	J	`jnl`	Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks. Comput. Biol. Medicine Fatemeh Abdolali, Jeevesh Kapur, Jacob L. Jaremko, Michelle Noga, Abhilash Rakkunedeth Hareendranathan, Kumaradevan Punithakumar
2020	J	`jnl`	Esophagus Segmentation in Computed Tomography Images Using a U-Net Neural Network With a Semiautomatic Labeling Method. IEEE Access Xiao Lou, Youzhe Zhu, Kumaradevan Punithakumar, Lawrence H. Le, Baosheng Li
2020	—	`conf`	Fully Automated Deep Learning Based Segmentation of Normal, Infarcted and Edema Regions from Multiple Cardiac MRI Sequences. MyoPS@MICCAI Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar
2020	J	`jnl`	Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter. CoRR Xiaoran Zhang, Michelle Noga, David Glynn Martin, Kumaradevan Punithakumar
2020	J	`jnl`	Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences. CoRR Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar
2020	C	`conf`	Interactive Data Driven Visualization for COVID-19 with Trends, Analytics and Forecasting. IV Frincy Clement, Asket Kaur, Maryam Sedghi, Deepa Krishnaswamy, Kumaradevan Punithakumar
2020	—	`conf`	Machine Learning and Graph Based Approach to Automatic Right Atrial Segmentation from Magnetic Resonance Imaging. ISBI Matthew Regehr, Andrew Volk, Michelle Noga, Kumaradevan Punithakumar
2020	—	`conf`	Multiview 3-D Echocardiography Image Fusion with Mutual Information Neural Estimation. BIBM Juiwen Ting, Kumaradevan Punithakumar, Nilanjan Ray
2020	—	`conf`	Validation of Diffeomorphic Registration on Cine Cardiac MR via Direct Frame-to-Frame Comparison with HARP Tracking on Tagged MR. EMBC Ahmed Ahmed, Deepa Krishnaswamy, Kumaradevan Punithakumar, Michelle Noga
2020	—	`conf`	Validation of a diffeomorphic registration algorithm using true deformation computed from thin plate spline interpolation. EMBC Deepa Krishnaswamy, Michelle Noga, Kumaradevan Punithakumar
2019	—	`conf`	Fully Automated Segmentation of Alveolar Bone Using Deep Convolutional Neural Networks from Intraoral Ultrasound Images. EMBC Dat Q. Duong, Kim-Cuong T. Nguyen, Neelambar R. Kaipatur, Edmond H. M. Lou, Michelle Noga, Paul W. Major, Kumaradevan Punithakumar, Lawrence H. Le
2019	—	`conf`	Registration of Ultrasound and CBCT Images for Enhancing Tooth-Periodontinum Visualization: a Feasibility Study. MAPR Kim-Cuong T. Nguyen, Neelambar R. Kaipatur, Edmond H. M. Lou, Paul W. Major, Kumaradevan Punithakumar, Lawrence H. Le
2019	—	`conf`	Right Ventricular Segmentation from MRI Using Deep Convolutional Neural Networks. EMBC Hakimeh Purmehdi, Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Kumaradevan Punithakumar
2018	—	`conf`	A Fully Convolutional Deep Neural Network for Lung Tumor Boundary Tracking in MRI. EMBC Nazanin Tahmasebi, Pierre Boulanger, Michelle Noga, Kumaradevan Punithakumar
2018	—	`conf`	A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography. EMBC Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
2018	J	`jnl`	A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography. IEEE Access Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
2018	—	`conf`	Adapting Texture Compression to Perceptual Quality Metric for Textured 3D Models. ICSM Navaneeth Kamballur Kottayil, Irene Cheng, Kumaradevan Punithakumar, Anup Basu
2018	—	`conf`	Fully Automated Left Atrial Segmentation from MR Image Sequences Using Deep Convolutional Neural Network and Unscented Kalman Filter. BIBM Xiaoran Zhang, David Glynn Martin, Michelle Noga, Kumaradevan Punithakumar
2018	—	`conf`	Graph Cuts-based Segmentation of Alveolar Bone in Ultrasound Imaging. BIBM Kim-Cuong T. Nguyen, Danni Shi, Neelambar R. Kaipatur, Edmond H. M. Lou, Paul W. Major, Kumaradevan Punithakumar, Lawrence H. Le
2018	—	`conf`	Multiview Three-Dimensional Echocardiography Image Fusion Using a Passive Measurement Arm. EMBC Kumaradevan Punithakumar, Andrew Whittle, Marina Choy, Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Pierre Boulanger, Harald Becher
2018	—	`conf`	Optimizing U-Net to Segment Left Ventricle from Magnetic Resonance Imaging. BIBM Sadegh Charmchi, Kumaradevan Punithakumar, Pierre Boulanger
2018	J	`jnl`	Random Walker Framework for Sensor-Based Echocardiography Fusion. IEEE Access Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar
2018	J	`jnl`	Tracking tumor boundary using point correspondence for adaptive radio therapy. Comput. Methods Programs Biomed. Nazanin Tahmasebi, Pierre Boulanger, Jihyun Yun, B. Gino Fallone, Kumaradevan Punithakumar
2017	J	`jnl`	A GPU-Accelerated Deformable Image Registration Algorithm With Applications to Right Ventricular Segmentation. IEEE Access Kumaradevan Punithakumar, Pierre Boulanger, Michelle Noga
2017	—	`conf`	Parallel implementation of a nonrigid image registration algorithm for lung tumor boundary tracking in quasi real-time MRI. EMBC Nazanin Tahmasebi, Pierre Boulanger, Kumaradevan Punithakumar
2017	J	`jnl`	Semiautomatic classification of acetabular shape from three-dimensional ultrasound for diagnosis of infant hip dysplasia using geometric features. Int. J. Comput. Assist. Radiol. Surg. Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Chad Diederichs, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
2017	J	`jnl`	Spine labeling in MRI via regularized distribution matching. Int. J. Comput. Assist. Radiol. Surg. Seyed-Parsa Hojjat, Ismail Ben Ayed, Gregory J. Garvin, Kumaradevan Punithakumar
2017	—	`conf`	Toward automatic diagnosis of hip dysplasia from 2D ultrasound. ISBI Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Dana Cobzas, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
2016	J	`jnl`	A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia. Int. J. Comput. Assist. Radiol. Surg. Abhilash Rakkunedeth Hareendranathan, Myles Mabee, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
2016	J	`jnl`	Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences. Comput. Methods Programs Biomed. Kumaradevan Punithakumar, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li, Pierre Boulanger, Harald Becher, Michelle Noga
2016	—	`conf`	Hip segmentation from MRI volumes in infants for DDH diagnosis and treatment planning. EMBC Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Chad Diederichs, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
2016	—	`conf`	Lung tumor boundary tracking in MRI with moving mesh correspondences for adaptive radio therapy. EMBC Nazanin Tahmasebi, Pierre Boulanger, Kumaradevan Punithakumar
2016	—	`conf`	Multiview echocardiography fusion using an electromagnetic tracking system. EMBC Kumaradevan Punithakumar, Abhilash Rakkunedeth Hareendranathan, Riitta Paakkanen, Nehan Khan, Michelle Noga, Pierre Boulanger, Harald Becher
2016	—	`conf`	Patient movement compensation for 3D echocardiography fusion. EMBC Abhilash Rakkunedeth Hareendranathan, Michelle Hanbidge, Allen He, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar
2016	J	`jnl`	Toward automated classification of acetabular shape in ultrasound for diagnosis of DDH: Contour alpha angle and the rounding index. Comput. Methods Programs Biomed. Abhilash Rakkunedeth Hareendranathan, Myles Mabee, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
2015	—	`conf`	A GPU accelerated moving mesh correspondence algorithm with applications to RV segmentation. EMBC Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger
2015	J	`jnl`	Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework. IEEE Trans. Pattern Anal. Mach. Intell. Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li
2015	J	`jnl`	Right ventricular segmentation in cardiac MRI with moving mesh correspondences. Comput. Medical Imaging Graph. Kumaradevan Punithakumar, Michelle Noga, Ismail Ben Ayed, Pierre Boulanger
2014	—	`conf`	Cardiac ultrasound multiview fusion using a multicamera tracking system. BHI Kumaradevan Punithakumar, Peter W. Wood, Marina Biamonte, Michelle Noga, Pierre Boulanger, Harald Becher
2014	—	`conf`	Detecting left ventricular impaired relaxation using MR imaging. BHI Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li
2014	J	`jnl`	Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features. IEEE Trans. Medical Imaging Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Terry M. Peters, Shuo Li
2013	—	`conf`	Cardiac right ventricular segmentation via point correspondence. EMBC Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger
2013	J	`jnl`	Left ventricle segmentation in MRI via convex relaxed distribution matching. Medical Image Anal. Cyrus M. S. Nambakhsh, Jing Yuan, Kumaradevan Punithakumar, Aashish Goela, Martin Rajchl, Terry M. Peters, Ismail Ben Ayed
2013	J	`jnl`	Regional heart motion abnormality detection: An information theoretic approach. Medical Image Anal. Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Jaron Chong, Shuo Li
2012	J	`jnl`	A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation. SIAM J. Imaging Sci. Kumaradevan Punithakumar, Jing Yuan, Ismail Ben Ayed, Shuo Li, Yuri Boykov
2012	J	`jnl`	Distributed Tracking with a PHD Filter using Efficient Measurement Encoding. J. Adv. Inf. Fusion Biruk K. Habtemariam, Ampikathasan Aravinthan, Ratnasingham Tharmarasa, Kumaradevan Punithakumar, Thomas Lang, Thia Kirubarajan
2012	J	`jnl`	Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure. Medical Image Anal. Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian G. Ross, Shuo Li
2012	—	`conf`	Regional Heart Motion Abnormality Detection via Multiview Fusion. MICCAI (2) Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Shuo Li
2012	—	`conf`	Vertebral Body Segmentation in MRI via Convex Relaxation and Distribution Matching. MICCAI (1) Ismail Ben Ayed, Kumaradevan Punithakumar, Rashid Minhas, Rohit Joshi, Gregory J. Garvin
2011	—	`conf`	A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI. IPMI Mohammad Saleh Nambakhsh, Jing Yuan, Ismail Ben Ayed, Kumaradevan Punithakumar, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li
2011	B	`conf`	A neural network learned information measures for heart motion abnormality detection. Image Processing Mohammad Saleh Nambakhsh, Kumaradevan Punithakumar, Ismail Ben Ayed, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li
2011	—	`conf`	Assessment of Regional Myocardial Function via Statistical Features in MR Images. MICCAI (3) Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters, Shuo Li
2011	—	`conf`	Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation. IPMI Ismail Ben Ayed, Kumaradevan Punithakumar, Gregory J. Garvin, Walter Romano, Shuo Li
2011	J	`jnl`	Multitarget Tracking using Probability Hypothesis Density Smoothing. IEEE Trans. Aerosp. Electron. Syst. Nandakumaran Nadarajah, Thia Kirubarajan, Thomas Lang, Michael McDonald, Kumaradevan Punithakumar
2010	J	`jnl`	Detection of left ventricular motion abnormality via information measures and Bayesian filtering. IEEE Trans. Inf. Technol. Biomed. Kumaradevan Punithakumar, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong, Shuo Li
2010	A*	`conf`	Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure. CVPR Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian G. Ross, Shuo Li
2010	—	`conf`	Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering. MICCAI (1) Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li
2010	J	`jnl`	Tracking Endocardial Motion Via Multiple Model Filtering. IEEE Trans. Biomed. Eng. Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li
2009	—	`conf`	Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering. MICCAI (1) Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong
2009	—	`conf`	Left Ventricle Segmentation via Graph Cut Distribution Matching. MICCAI (1) Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li, Ali Islam, Jaron Chong
2009	—	`conf`	Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering. ACCV (3) Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li
2008	J	`jnl`	An EM Algorithm for Nonlinear State Estimation With Model Uncertainties. IEEE Trans. Signal Process. Amin Zia, Thiagalingam Kirubarajan, James P. Reilly, Derek Yee, Kumaradevan Punithakumar, Shahram Shirani
2008	J	`jnl`	Approximate Conditional Mean Particle Filtering for Linear/Nonlinear Dynamic State Space Models. IEEE Trans. Signal Process. Derek Yee, James P. Reilly, Thia Kirubarajan, Kumaradevan Punithakumar