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2020 – today
- 2025
[j43]R. Shantha Selvakumari
, Kumaradevan Punithakumar, D. Selvathi, S. Chrisilla, R. Sri Abinaya, Nilanjan Ray:
Computerized Diagnosis Methods for Pediatric Cardiology: A Review. IEEE Access 13: 39192-39213 (2025)- [c56]Jingwen Cong, Kumaradevan Punithakumar, Lixin Tang, Michelle Noga:
Adaptive Collaborative Learning Polyp Segmentation Framework Based on Contour-Driven Parallel Attention Network. ISBI 2025: 1-5 - [c55]Ishani DasGupta, Nilanjan Ray, Kumaradevan Punithakumar:
A Comparison of Deep Learning Models for Automatic Left-Ventricular Segmentation in 3D Echocardiography. ISBI 2025: 1-5 - [i9]Thanuja Uruththirakodeeswaran, Harald Becher, Michelle Noga, Lawrence H. Le, Pierre Boulanger, Jonathan Windram, Kumaradevan Punithakumar:
Accelerated 3D-3D rigid registration of echocardiographic images obtained from apical window using particle filter. CoRR abs/2504.19930 (2025) - 2024
- [j42]Meruja Selvamanikkam, Michelle Noga, Nee Scze Khoo, Kumaradevan Punithakumar:
High-Resolution Stereoscopic Visualization of Pediatric Echocardiography Data on Microsoft HoloLens 2. IEEE Access 12: 9776-9783 (2024) - [j41]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: 53485-53496 (2024) - [j40]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: 89439-89451 (2024) - [j39]Anparasy Sivaanpu, Kumaradevan Punithakumar, Rui Zheng, Michelle Noga, Dean Ta, Edmond H. M. Lou, Lawrence H. Le:
Speckle Noise Reduction for Medical Ultrasound Images Using Hybrid CNN-Transformer Network. IEEE Access 12: 168607-168625 (2024) - [j38]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:
DetSegDiff: A joint periodontal landmark detection and segmentation in intraoral ultrasound using edge-enhanced diffusion-based network. Comput. Biol. Medicine 182: 109174 (2024) - [j37]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:
Neural implicit surface reconstruction of freehand 3D ultrasound volume with geometric constraints. Medical Image Anal. 98: 103305 (2024) - [c54]Anparasy Sivaanpu, Michelle Noga, Harald Becher, Kumaradevan Punithakumar, Lawrence H. Le:
Denoising Echocardiography with an Improved Diffusion Model. EMBC 2024: 1-4 - [c53]Luan Matheus Trindade Dalmazo, Kumaradevan Punithakumar:
Final Stroke Infarct Segmentation Using Deep Neural Networks. SWITCH/ISLES@MICCAI 2024: 95-99 - [c52]Kumaradevan Punithakumar, Ahmed Ahmed, Pierre Boulanger, Jonathan Windram, Michelle Noga, Harald Becher:
Force Controlled Operation of Robotic Arm for Echocardiography Scanning. RobCE 2024: 108-112 - 2023
- [j36]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: 3144-3159 (2023) - [j35]Ameneh Sheikhjafari, Michelle Noga, Ahmed Ahmed, Nilanjan Ray, Kumaradevan Punithakumar:
GMCNet: A Generative Multi-Resolution Framework for Cardiac Registration. IEEE Access 11: 8185-8198 (2023) - [j34]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): 1941-1949 (2023) - [j33]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: 106792 (2023) - [j32]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: 102808 (2023) - [j31]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): 3302-3313 (2023) - [c51]Srivathsan Shanmuganathan, Michelle Noga, Bernadette Foster, Harald Becher, Kumaradevan Punithakumar:
Image Registration for Multi-View Three-Dimensional Echocardiography Sequences. BIBE 2023: 260-264 - [c50]Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger, Harald Becher:
Integration of Robotic Technology for Combining Multiple Views in Three-Dimensional Echocardiography. ICAC 2023: 1-6 - [c49]Nazanin Tahmasebi, Kumaradevan Punithakumar:
A Deep Neural Network Approach for the Lesion Segmentation from Neonatal Brain Magnetic Resonance Imaging. BONBID-HIE@MICCAI 2023: 34-38 - [c48]Kartik Narayan Sahoo, Kumaradevan Punithakumar:
A Deep Learning Approach for the Segmentation of Kidney, Tumor and Cyst in Computed Tomography Scans. KiTS@MICCAI 2023: 120-125 - [i8]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 abs/2304.03708 (2023) - 2022
- [j30]Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray:
A training-free recursive multiresolution framework for diffeomorphic deformable image registration. Appl. Intell. 52(11): 12546-12555 (2022) - [c47]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: 1164-1169 - [c46]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: 3826-3829 - [c45]Kumaradevan Punithakumar, Michelle Noga:
Automated Segmentation of the Left Atrium and Scar Using Deep Convolutional Neural Networks. LAScarQS@MICCAI 2022: 145-152 - [c44]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: 399-408 - [i7]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 abs/2201.03186 (2022) - [i6]Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray:
A training-free recursive multiresolution framework for diffeomorphic deformable image registration. CoRR abs/2202.00675 (2022) - [i5]Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar:
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field. CoRR abs/2208.13275 (2022) - 2021
- [j29]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: 104345 (2021) - [j28]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: 101916 (2021) - [j27]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:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [c43]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: 2637-2640 - [c42]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: 3118-3121 - [c41]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: 656-667 - [c40]Kumaradevan Punithakumar, Adam Carscadden, Michelle Noga:
Automated Segmentation of the Right Ventricle from Magnetic Resonance Imaging Using Deep Convolutional Neural Networks. STACOM@MICCAI 2021: 344-351 - [i4]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 abs/2109.01132 (2021) - 2020
- [j26]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: 202459-202468 (2020) - [j25]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: 103794 (2020) - [j24]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: 103871 (2020) - [j23]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): 3042-3052 (2020) - [c39]Juiwen Ting, Kumaradevan Punithakumar, Nilanjan Ray:
Multiview 3-D Echocardiography Image Fusion with Mutual Information Neural Estimation. BIBM 2020: 765-771 - [c38]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: 1174-1177 - [c37]Deepa Krishnaswamy, Michelle Noga, Kumaradevan Punithakumar:
Validation of a diffeomorphic registration algorithm using true deformation computed from thin plate spline interpolation. EMBC 2020: 1351-1354 - [c36]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: 826-829 - [c35]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: 1756-1760 - [c34]Frincy Clement, Asket Kaur, Maryam Sedghi, Deepa Krishnaswamy, Kumaradevan Punithakumar:
Interactive Data Driven Visualization for COVID-19 with Trends, Analytics and Forecasting. IV 2020: 593-598 - [c33]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: 82-91 - [c32]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: 250-258 - [i3]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 abs/2006.05861 (2020) - [i2]Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar:
Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences. CoRR abs/2008.07770 (2020) - [i1]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 abs/2009.13627 (2020)
2010 – 2019
- 2019
- [c31]Hakimeh Purmehdi, Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Kumaradevan Punithakumar:
Right Ventricular Segmentation from MRI Using Deep Convolutional Neural Networks. EMBC 2019: 4020-4023 - [c30]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: 6632-6635 - [c29]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: 1-5 - 2018
- [j22]Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar:
Random Walker Framework for Sensor-Based Echocardiography Fusion. IEEE Access 6: 8519-8525 (2018) - [j21]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: 16336-16344 (2018) - [j20]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: 187-195 (2018) - [c28]Sadegh Charmchi, Kumaradevan Punithakumar, Pierre Boulanger:
Optimizing U-Net to Segment Left Ventricle from Magnetic Resonance Imaging. BIBM 2018: 327-332 - [c27]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: 2049-2055 - [c26]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: 2316-2323 - [c25]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: 903-906 - [c24]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: 1119-1122 - [c23]Nazanin Tahmasebi, Pierre Boulanger, Michelle Noga, Kumaradevan Punithakumar:
A Fully Convolutional Deep Neural Network for Lung Tumor Boundary Tracking in MRI. EMBC 2018: 5906-5909 - [c22]Navaneeth Kamballur Kottayil, Irene Cheng, Kumaradevan Punithakumar, Anup Basu:
Adapting Texture Compression to Perceptual Quality Metric for Textured 3D Models. ICSM 2018: 397-405 - 2017
- [j19]Kumaradevan Punithakumar, Pierre Boulanger, Michelle Noga:
A GPU-Accelerated Deformable Image Registration Algorithm With Applications to Right Ventricular Segmentation. IEEE Access 5: 20374-20382 (2017) - [j18]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): 439-447 (2017) - [j17]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): 1911-1922 (2017) - [c21]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: 325-328 - [c20]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: 982-985 - 2016
- [j16]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): 31-42 (2016) - [j15]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: 58-66 (2016) - [j14]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: 89-98 (2016) - [c19]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: 1046-1049 - [c18]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: 1078-1081 - [c17]Abhilash Rakkunedeth Hareendranathan, Michelle Hanbidge, Allen He, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar:
Patient movement compensation for 3D echocardiography fusion. EMBC 2016: 1091-1094 - [c16]Nazanin Tahmasebi, Pierre Boulanger, Kumaradevan Punithakumar:
Lung tumor boundary tracking in MRI with moving mesh correspondences for adaptive radio therapy. EMBC 2016: 1264-1267 - 2015
- [j13]Kumaradevan Punithakumar, Michelle Noga, Ismail Ben Ayed, Pierre Boulanger:
Right ventricular segmentation in cardiac MRI with moving mesh correspondences. Comput. Medical Imaging Graph. 43: 15-25 (2015) - [j12]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): 1777-1791 (2015) - [c15]Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger:
A GPU accelerated moving mesh correspondence algorithm with applications to RV segmentation. EMBC 2015: 4206-4209 - 2014
- [j11]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): 481-494 (2014) - [c14]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: 310-313 - [c13]Kumaradevan Punithakumar, Peter W. Wood, Marina Biamonte, Michelle Noga, Pierre Boulanger, Harald Becher:
Cardiac ultrasound multiview fusion using a multicamera tracking system. BHI 2014: 318-321 - 2013
- [j10]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): 311-324 (2013) - [j9]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): 1010-1024 (2013) - [c12]Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger:
Cardiac right ventricular segmentation via point correspondence. EMBC 2013: 4010-4013 - 2012
- [j8]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): 114-130 (2012) - [j7]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): 87-100 (2012) - [j6]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): 1333-1354 (2012) - [c11]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: 520-527 - [c10]Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Shuo Li:
Regional Heart Motion Abnormality Detection via Multiview Fusion. MICCAI (2) 2012: 527-534 - 2011
- [j5]Nandakumaran Nadarajah, Thia Kirubarajan, Thomas Lang, Michael McDonald, Kumaradevan Punithakumar:
Multitarget Tracking using Probability Hypothesis Density Smoothing. IEEE Trans. Aerosp. Electron. Syst. 47(4): 2344-2360 (2011) - [c9]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: 171-183 - [c8]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: 221-232 - [c7]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: 107-114 - [c6]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. Image Processing 2011: 79621H - 2010
- [j4]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): 2001-2010 (2010) - [j3]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): 1106-1113 (2010) - [c5]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: 3288-3295 - [c4]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: 409-417
2000 – 2009
- 2009
- [c3]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: 172-182 - [c2]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: 373-380 - [c1]Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li, Ali Islam, Jaron Chong:
Left Ventricle Segmentation via Graph Cut Distribution Matching. MICCAI (1) 2009: 901-909 - 2008
- [j2]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): 921-936 (2008) - [j1]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): 5790-5803 (2008)
Coauthor Index
[c56] [i9] [j42] [j41] [j40] [j39] [c54] [c52] [j36] [j35] [j34] [j31] [c51] [c50] [j30] [c47] [c45] [c44] [i6] [i5] [j28] [c42] [c41] [c40] [i4] [j24] [j23] [c38] [c37] [c36] [c35] [c33] [c32] [i3] [i2] [i1] [c31] [c30] [j22] [j21] [c26] [c25] [c24] [c23] [j19] [j18] [c20] [j16] [j15] [j14] [c19] [c18] [c17] [j13] [c15] [c14] [c13] [c12]
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