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ORCIDMichelle Noga
Michelle L. Noga
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2020 – today
- 2024
[j21]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)- [j20]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) - [j19]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) - [j18]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) - [c31]Anparasy Sivaanpu, Michelle Noga, Harald Becher, Kumaradevan Punithakumar, Lawrence H. Le:
Denoising Echocardiography with an Improved Diffusion Model. EMBC 2024: 1-4 - [c30]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
- [j17]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) - [j16]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) - [j15]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) - [j14]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) - [c29]Srivathsan Shanmuganathan, Michelle Noga, Bernadette Foster, Harald Becher, Kumaradevan Punithakumar:
Image Registration for Multi-View Three-Dimensional Echocardiography Sequences. BIBE 2023: 260-264 - [c28]Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger, Harald Becher:
Integration of Robotic Technology for Combining Multiple Views in Three-Dimensional Echocardiography. ICAC 2023: 1-6 - 2022
- [j13]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) - [c27]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 - [c26]Kumaradevan Punithakumar, Michelle Noga:
Automated Segmentation of the Left Atrium and Scar Using Deep Convolutional Neural Networks. LAScarQS@MICCAI 2022: 145-152 - [c25]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 - [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
- [j12]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) - [c24]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 - [c23]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 - [c22]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
- [j11]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) - [j10]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) - [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]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 - [c16]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
- [j9]Milad Kiaee, Herbert Wachtel, Michelle L. Noga, Andrew R. Martin, Warren H. Finlay:
An idealized geometry that mimics average nasal spray deposition in adults: A computational study. Comput. Biol. Medicine 107: 206-217 (2019) - [c15]Hakimeh Purmehdi, Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Kumaradevan Punithakumar:
Right Ventricular Segmentation from MRI Using Deep Convolutional Neural Networks. EMBC 2019: 4020-4023 - [c14]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 - 2018
- [j8]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) - [j7]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) - [c13]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 - [c12]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 - [c11]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 - [c10]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 - 2017
- [j6]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) - [j5]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) - [c9]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
- [j4]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) - [j3]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) - [j2]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) - [c8]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 - [c7]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 - [c6]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 - 2015
- [j1]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) - [c5]Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger:
A GPU accelerated moving mesh correspondence algorithm with applications to RV segmentation. EMBC 2015: 4206-4209 - 2014
- [c4]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 - [c3]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
- [c2]Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger:
Cardiac right ventricular segmentation via point correspondence. EMBC 2013: 4010-4013 - 2011
- [c1]Biao She, Pierre Boulanger, Michelle Noga:
Real-Time Rendering of Temporal Volumetric Data on a GPU. IV 2011: 622-631
Coauthor Index
[j21] [j20] [j19] [j18] [c31] [c30] [j17] [j16] [j15] [j14] [c29] [c28] [j13] [c27] [c26] [c25] [i6] [i5] [j12] [c24] [c23] [c22] [i4] [j11] [j10] [c21] [c20] [c19] [c18] [c17] [c16] [i3] [i2] [i1] [c15] [c14] [j8] [j7] [c13] [c12] [c11] [c10] [j6] [j5] [c9] [j4] [j3] [j2] [c8] [c7] [c6] [j1] [c5] [c4] [c3] [c2]
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