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ORCIDEric Kerfoot
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Books and Theses
- 2010
[b1]Eric Kerfoot:
Formal relationships in sequential object systems. University of Oxford, UK, 2010
Journal Articles
- 2024
- [j5]Benjamin Murray
, Richard Brown, Pengcheng Ma, Eric Kerfoot, Daguang Xu, Andrew Feng, Jorge Cardoso, Sébastien Ourselin, Marc Modat:
Lazy Resampling: Fast and information preserving preprocessing for deep learning. Comput. Methods Programs Biomed. 257: 108422 (2024) - 2021
- [j4]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:
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data. IEEE J. Biomed. Health Informatics 25(9): 3541-3553 (2021) - 2018
- [j3]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:
Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients. Medical Image Anal. 43: 169-185 (2018) - 2016
- [j2]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:
Multiphysics Computational Modeling in CHeart. SIAM J. Sci. Comput. 38(3) (2016) - 2013
- [j1]Eric Kerfoot, Pablo Lamata, Steven A. Niederer, Rod D. Hose, Jos A. E. Spaan, Nic Smith:
Share and enjoy: anatomical models database - generating and sharing cardiovascular model data using web services. Medical Biol. Eng. Comput. 51(11): 1181-1190 (2013)
Conference and Workshop Papers
- 2024
- [c13]Inês Prata Machado, Anna Reithmeir, Fryderyk Victor Kögl, Leonardo Rundo, Gabriel Funingana, Marika Reinius, Gift Mungmeeprued, Zeyu Gao, Cathal McCague, Eric Kerfoot, Ramona Woitek, Evis Sala, Yangming Ou, James D. Brenton, Julia A. Schnabel, Mireia Crispin:
A Self-supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer. WBIR 2024: 295-307 - 2020
- [c12]Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King:
Quality-Aware Semi-supervised Learning for CMR Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 97-107 - [c11]Ana Lourenço, Eric Kerfoot, Connor Dibblin, Ebraham Alskaf, Mustafa Anjari, Anil A. Bharath, Andrew P. King, Henry Chubb, Teresa Correia, Marta Varela:
Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI. M&Ms and EMIDEC/STACOM@MICCAI 2020: 137-145 - [c10]Eric Kerfoot, Carlos Escudero King, Tefvik Ismail, David Nordsletten, Renee M. Miller:
Estimation of Cardiac Valve Annuli Motion with Deep Learning. M&Ms and EMIDEC/STACOM@MICCAI 2020: 146-155 - [c9]Ana Lourenço, Eric Kerfoot, Irina Grigorescu, Cian M. Scannell, Marta Varela, Teresa Correia:
Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information. M&Ms and EMIDEC/STACOM@MICCAI 2020: 334-341 - 2019
- [c8]Siti Nurbaya Yaakub, Colm J. McGinnity, James R. Clough, Eric Kerfoot, Nadine Girard, Eric Guedj, Alexander Hammers:
Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies. SASHIMI@MICCAI 2019: 42-51 - [c7]Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, Rina Ariga, Ernesto Zacur, Pablo Lamata, Julia A. Schnabel:
Synthesising Images and Labels Between MR Sequence Types with CycleGAN. DART/MIL3ID@MICCAI 2019: 45-53 - 2018
- [c6]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:
Personalized Modelling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct patients. CinC 2018: 1-4 - [c5]Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Andrew P. King, Julia A. Schnabel:
Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. RAMBO+BIA+TIA@MICCAI 2018: 32-41 - [c4]Eric Kerfoot, James R. Clough, Ilkay Öksüz, Jack Lee, Andrew P. King, Julia A. Schnabel:
Left-Ventricle Quantification Using Residual U-Net. STACOM@MICCAI 2018: 371-380 - 2016
- [c3]Eric Kerfoot, Lauren Fovargue, Simone Rivolo, Wenzhe Shi, Daniel Rueckert, David Nordsletten, Jack Lee, Radomír Chabiniok, Reza Razavi:
Eidolon: Visualization and Computational Framework for Multi-modal Biomedical Data Analysis. MIAR 2016: 425-437 - [c2]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:
Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas. STACOM@MICCAI 2016: 57-65 - 2010
- [c1]Eric Kerfoot, Steve McKeever:
Checking concurrent contracts with aspects. SAC 2010: 2523-2530
Informal and Other Publications
- 2024
- [i7]Inês Prata Machado, Anna Reithmeir, Fryderyk Victor Kögl, Leonardo Rundo, Gabriel Funingana, Marika Reinius, Gift Mungmeeprued, Zeyu Gao, Cathal McCague, Eric Kerfoot, Ramona Woitek, Evis Sala, Yangming Ou, James D. Brenton, Julia A. Schnabel, Mireia Crispin:
A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer. CoRR abs/2407.17114 (2024) - 2023
- [i6]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:
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR abs/2307.15208 (2023) - 2022
- [i5]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:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - [i4]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:
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR abs/2212.14177 (2022) - 2020
- [i3]Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King:
Quality-aware semi-supervised learning for CMR segmentation. CoRR abs/2009.00584 (2020) - [i2]Eric Kerfoot, Carlos Escudero King, Tefvik Ismail, David Nordsletten, Renee M. Miller:
Estimation of Cardiac Valve Annuli Motion with Deep Learning. CoRR abs/2010.12446 (2020) - [i1]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:
Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets. CoRR abs/2011.00867 (2020)
Coauthor Index
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