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

W. Xue, J. Li, Z. Hu, E. Kerfoot, J. Clough, I. Öksüz, H. Xu, V. Grau, F. Guo, M. Ng, X. Li, Q. Li, L. Liu, J. Ma, E. Grinias, G. Tziritas, W. Yan, A. Atehortúa, M. Garreau, Y. Jang, A. Debus, E. Ferrante, G. Yang, T. Hua, and S. Li. IEEE J. Biomed. Health Informatics, 25 (9): 3541-3553 (2021)

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Eric Kerfoot

Friederike Erichsen-Wendt

Claus Erichsen

Kay Erichsen

Curt Erich

Other publications of authors with the same name

Left-Ventricle Quantification Using Residual U-Net.E. Kerfoot, J. Clough, I. Öksüz, J. Lee, A. King, and J. Schnabel. STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 371-380. Springer, (2018)MONAI: An open-source framework for deep learning in healthcare.M. Cardoso, W. Li, R. Brown, N. Ma, E. Kerfoot, Y. Wang, B. Murray, A. Myronenko, C. Zhao, D. Yang and 46 other author(s). CoRR, (2022)Quality-Aware Semi-supervised Learning for CMR Segmentation.B. Ruijsink, E. Puyol-Antón, Y. Li, W. Bai, E. Kerfoot, R. Razavi, and A. King. M&Ms and EMIDEC/STACOM@MICCAI, volume 12592 of Lecture Notes in Computer Science, page 97-107. Springer, (2020)Synthesising Images and Labels Between MR Sequence Types with CycleGAN.E. Kerfoot, E. Puyol-Antón, B. Ruijsink, R. Ariga, E. Zacur, P. Lamata, and J. Schnabel. DART/MIL3ID@MICCAI, volume 11795 of Lecture Notes in Computer Science, page 45-53. Springer, (2019)Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI.A. Lourenço, E. Kerfoot, C. Dibblin, E. Alskaf, M. Anjari, A. Bharath, A. King, H. Chubb, T. Correia, and M. Varela. M&Ms and EMIDEC/STACOM@MICCAI, volume 12592 of Lecture Notes in Computer Science, page 137-145. Springer, (2020)Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.W. Xue, J. Li, Z. Hu, E. Kerfoot, J. Clough, I. Öksüz, H. Xu, V. Grau, F. Guo, M. Ng and 15 other author(s). IEEE J. Biomed. Health Informatics, 25 (9): 3541-3553 (2021)Estimation of Cardiac Valve Annuli Motion with Deep Learning.E. Kerfoot, C. King, T. Ismail, D. Nordsletten, and R. Miller. M&Ms and EMIDEC/STACOM@MICCAI, volume 12592 of Lecture Notes in Computer Science, page 146-155. Springer, (2020)Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies.S. Yaakub, C. McGinnity, J. Clough, E. Kerfoot, N. Girard, E. Guedj, and A. Hammers. SASHIMI@MICCAI, volume 11827 of Lecture Notes in Computer Science, page 42-51. Springer, (2019)Current State of Community-Driven Radiological AI Deployment in Medical Imaging.V. Gupta, B. Erdal, C. Ramirez, R. Floca, L. Jackson, B. Genereaux, S. Bryson, C. Bridge, J. Kleesiek, F. Nensa and 16 other author(s). CoRR, (2022)Generative AI for Medical Imaging: extending the MONAI Framework.W. Pinaya, M. Graham, E. Kerfoot, P. Tudosiu, J. Dafflon, V. Fernandez, P. Sanchez, J. Wolleb, P. Costa, A. Patel and 14 other author(s). CoRR, (2023)

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Disambiguation of "Kerfoot, Eric"