Eric Kerfoot

26 papers Misc 1Journal 12Unranked 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer.
CoRR
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
2024 — conf
A Self-supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer.
WBIR
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
2024 J jnl
Lazy Resampling: Fast and information preserving preprocessing for deep learning.
Comput. Methods Programs Biomed.
Benjamin Murray, Richard Brown, Pengcheng Ma, Eric Kerfoot, Daguang Xu, Andrew Feng, Jorge Cardoso, Sébastien Ourselin, Marc Modat
2023 J jnl
Generative AI for Medical Imaging: extending the MONAI Framework.
CoRR
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
2022 J jnl
Current State of Community-Driven Radiological AI Deployment in Medical Imaging.
CoRR
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
2022 J jnl
MONAI: An open-source framework for deep learning in healthcare.
CoRR
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
2021 J jnl
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
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
2020 J jnl
Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets.
CoRR
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
2020 — conf
Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information.
M&Ms and EMIDEC/STACOM@MICCAI
Ana Lourenço, Eric Kerfoot, Irina Grigorescu, Cian M. Scannell, Marta Varela, Teresa Correia
2020 — conf
Estimation of Cardiac Valve Annuli Motion with Deep Learning.
M&Ms and EMIDEC/STACOM@MICCAI
Eric Kerfoot, Carlos Escudero King, Tefvik Ismail, David Nordsletten, Renee M. Miller
2020 J jnl
Estimation of Cardiac Valve Annuli Motion with Deep Learning.
CoRR
Eric Kerfoot, Carlos Escudero King, Tefvik Ismail, David Nordsletten, Renee M. Miller
2020 — conf
Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI.
M&Ms and EMIDEC/STACOM@MICCAI
Ana Lourenço, Eric Kerfoot, Connor Dibblin, Ebraham Alskaf, Mustafa Anjari, Anil A. Bharath, Andrew P. King, Henry Chubb, Teresa Correia, Marta Varela
2020 — conf
Quality-Aware Semi-supervised Learning for CMR Segmentation.
M&Ms and EMIDEC/STACOM@MICCAI
Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King
2020 J jnl
Quality-aware semi-supervised learning for CMR segmentation.
CoRR
Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King
2019 — conf
Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies.
SASHIMI@MICCAI
Siti Nurbaya Yaakub, Colm J. McGinnity, James R. Clough, Eric Kerfoot, Nadine Girard, Eric Guedj, Alexander Hammers
2019 — conf
Synthesising Images and Labels Between MR Sequence Types with CycleGAN.
DART/MIL3ID@MICCAI
Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, Rina Ariga, Ernesto Zacur, Pablo Lamata, Julia A. Schnabel
2018 — conf
Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data.
RAMBO+BIA+TIA@MICCAI
Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Andrew P. King, Julia A. Schnabel
2018 — conf
Left-Ventricle Quantification Using Residual U-Net.
STACOM@MICCAI
Eric Kerfoot, James R. Clough, Ilkay Öksüz, Jack Lee, Andrew P. King, Julia A. Schnabel
2018 J jnl
Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients.
Medical Image Anal.
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
2018 — conf
Personalized Modelling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct patients.
CinC
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
2016 — conf
Eidolon: Visualization and Computational Framework for Multi-modal Biomedical Data Analysis.
MIAR
Eric Kerfoot, Lauren Fovargue, Simone Rivolo, Wenzhe Shi, Daniel Rueckert, David Nordsletten, Jack Lee, Radomír Chabiniok, Reza Razavi
2016 — conf
Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas.
STACOM@MICCAI
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
2016 J jnl
Multiphysics Computational Modeling in CHeart.
SIAM J. Sci. Comput.
Jack Lee, Andrew N. Cookson, Ishani Roy, Eric Kerfoot, Liya Asner, Guillermo Vigueras, Taha Sochi, Simone Deparis, Christian Michler, Nicolas P. Smith, David A. Nordsletten
2013 J jnl
Share and enjoy: anatomical models database - generating and sharing cardiovascular model data using web services.
Medical Biol. Eng. Comput.
Eric Kerfoot, Pablo Lamata, Steven A. Niederer, Rod D. Hose, Jos A. E. Spaan, Nic Smith
2010 Misc conf
Checking concurrent contracts with aspects.
SAC
Eric Kerfoot, Steve McKeever
2010 — —
Formal relationships in sequential object systems.
Eric Kerfoot