Eric Kerfoot

According to our database, Eric Kerfoot authored at least 21 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Generative AI for Medical Imaging: extending the MONAI Framework.

Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

CoRR, 2023

2022

Current State of Community-Driven Radiological AI Deployment in Medical Imaging.

Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Laurence Jackson, Brad W. Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sébastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Sundaram Cook, David Bericat, Matthew P. Lungren, Risto Haukioja, Haris Shuaib

CoRR, 2022

MONAI: An open-source framework for deep learning in healthcare.

M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng

CoRR, 2022

2021

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.

Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James R. Clough, Ilkay Öksüz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angélica Atehortúa, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, Shuo Li

IEEE J. Biomed. Health Informatics, 2021

2020

Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets.

Benjamin Murray, Eric Kerfoot, Mark S. Graham, Carole H. Sudre, Erika Molteni, Liane S. Canas, Michela Antonelli, Alessia Visconti, Andrew T. Chan, Paul W. Franks, Richard Davies, Jonathan Wolf, Tim D. Spector, Claire J. Steves, Marc Modat, Sébastien Ourselin

CoRR, 2020

Quality-Aware Semi-supervised Learning for CMR Segmentation.

Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information.

Ana Lourenço, Eric Kerfoot, Irina Grigorescu, Cian M. Scannell, Marta Varela, Teresa Correia

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI.

Ana Lourenço, Eric Kerfoot, Connor Dibblin, Ebraham Alskaf, Mustafa Anjari, Anil A. Bharath, Andrew P. King, Henry Chubb, Teresa Correia, Marta Varela

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Estimation of Cardiac Valve Annuli Motion with Deep Learning.

Eric Kerfoot, Carlos Escudero King, Tefvik Ismail, David Nordsletten, Renee M. Miller

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

2019

Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies.

Siti Nurbaya Yaakub, Colm J. McGinnity, James R. Clough, Eric Kerfoot, Nadine Girard, Eric Guedj, Alexander Hammers

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Synthesising Images and Labels Between MR Sequence Types with CycleGAN.

Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, Rina Ariga, Ernesto Zacur, Pablo Lamata, Julia A. Schnabel

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

2018

Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients.

Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, Simone Rivolo, Jessica Webb, Simon Claridge, Thomas Jackson, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King

Medical Image Anal., 2018

Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data.

Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Andrew P. King, Julia A. Schnabel

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Left-Ventricle Quantification Using Residual U-Net.

Eric Kerfoot, James R. Clough, Ilkay Öksüz, Jack Lee, Andrew P. King, Julia A. Schnabel

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Personalized Modelling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct patients.

Caroline Mendonça Costa, Aurel Neic, Gernot Plank, Eric Kerfoot, Bradley Porter, Benjamin Sieniewicz, Justin Gould, Baldeep Sidhu, Zhong Chen, Christopher A. Rinaldi, Martin J. Bishop, Steven A. Niederer

Proceedings of the Computing in Cardiology, 2018

2016

Multiphysics Computational Modeling in CHeart.

Jack Lee, Andrew N. Cookson, Ishani Roy, Eric Kerfoot, Liya Asner, Guillermo Vigueras, T. Sochi, Simone Deparis, Christian Michler, Nicolas P. Smith, David A. Nordsletten

SIAM J. Sci. Comput., 2016

Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas.

Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Tom Jackson, Simon Claridge, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016

Eidolon: Visualization and Computational Framework for Multi-modal Biomedical Data Analysis.

Eric Kerfoot, Lauren Fovargue, Simone Rivolo, Wenzhe Shi, Daniel Rueckert, David Nordsletten, Jack Lee, Radomír Chabiniok, Reza Razavi

Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

2013

Share and enjoy: anatomical models database - generating and sharing cardiovascular model data using web services.

Eric Kerfoot, Pablo Lamata, Steven A. Niederer, Rod D. Hose, Jos A. E. Spaan, Nic Smith

Medical Biol. Eng. Comput., 2013

2010

Formal relationships in sequential object systems.

Eric Kerfoot

PhD thesis, 2010

Checking concurrent contracts with aspects.

Eric Kerfoot, Steve McKeever

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010