Michelle Noga

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 51

Top Topics

Convolutional Neural Network

Magnetic Resonance

Left Ventricular

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

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)
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)
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)
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)
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)
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)
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)
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, Michelle Noga, Kumaradevan Punithakumar
Fully Automated Deep Learning Based Segmentation of Normal, Infarcted and Edema Regions from Multiple Cardiac MRI Sequences. MyoPS@MICCAI (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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Kumaradevan Punithakumar, Peter W. Wood, Marina Biamonte, Michelle Noga, Pierre Boulanger, Harald Becher
Cardiac ultrasound multiview fusion using a multicamera tracking system. BHI (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)
Biao She, Pierre Boulanger, Michelle Noga
Real-Time Rendering of Temporal Volumetric Data on a GPU. IV (2011)