Jennifer Keegan

Orcid: 0000-0002-8080-8442

According to our database1, Jennifer Keegan authored at least 36 papers between 2001 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data.
IEEE Trans. Medical Imaging, 2022

JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets.
IEEE J. Biomed. Health Informatics, 2022

2021
Automated multi-channel segmentation for the 4D myocardial velocity mapping cardiac MR.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2020
Atrial scar quantification via multi-scale CNN in the graph-cuts framework.
Medical Image Anal., 2020

Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention.
Future Gener. Comput. Syst., 2020

2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.
CoRR, 2019

Discriminative Consistent Domain Generation for Semi-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.
IEEE Trans. Medical Imaging, 2018

Translational Motion Compensation for Soft Tissue Velocity Images.
CoRR, 2018

Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multiview Sequential Learning and Dilated Residual Learning for a Fully Automatic Delineation of the Left Atrium and Pulmonary Veins from Late Gadolinium-Enhanced Cardiac MRI Images.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Deep De-Aliasing for Fast Compressive Sensing MRI.
CoRR, 2017

Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI.
CoRR, 2017

Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Constrained Statistical Modelling of Knee Flexion From Multi-Pose Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2016

Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016

2014
Restoration of Phase-Contrast Cardiovascular MRI for the Construction of Cardiac Contractility Atlases.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014

2011
A whole body statistical shape model for radio frequency simulation.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Articulated Postures for Subject-Specific RF Simulation.
Proceedings of the International Conference on Body Sensor Networks, 2010

2009
Image Constrained Finite Element Modelling for Real-Time Surgical Simulation and Guidance.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2007
Motion-compensated MR valve imaging with COMB tag tracking and super-resolution enhancement.
Medical Image Anal., 2007

Cardiac-Motion Compensated MR Imaging and Strain Analysis of Ventricular Trabeculae.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

2004
Predictive cardiac motion modeling and correction with partial least squares regression.
IEEE Trans. Medical Imaging, 2004

2003
Predictive cardiac motion modelling and correction.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003

2001
A Novel Imaging Strategy for Structural Segmentation of the Left Ventricle.
Proceedings of the Medical Imaging and Augmented Reality: First International Workshop, 2001

Subject-specific Motion Correction Factors for Magnetic Resonance Coronary Angiography.
Proceedings of the Medical Imaging and Augmented Reality: First International Workshop, 2001

Flow and Motion: Implications on Cardiac MR.
Proceedings of the Medical Imaging and Augmented Reality: First International Workshop, 2001


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