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Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling.

I. Islam, E. Puyol-Antón, B. Ruijsink, A. Reader, and A. King. CoRR, (2024)

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Bram Hanse

Bram Bolder

Bram Eldering

Bram Pluijmaekers

Kurt Bram

Other publications of authors with the same name

Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.T. Dawood, C. Chen, B. Sidhu, B. Ruijsink, J. Gould, B. Porter, M. Elliott, V. Mehta, C. Rinaldi, E. Puyol-Antón and 2 other author(s). Medical Image Anal., (August 2023)Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR.J. Harana, N. Kifle, R. Razavi, A. King, B. Ruijsink, and E. Puyol-Antón. STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 84-92. Springer, (2021)Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation.E. Puyol-Antón, B. Ruijsink, S. Piechnik, S. Neubauer, S. Petersen, R. Razavi, and A. King. MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 413-423. Springer, (2021)High-quality segmentation of low quality cardiac MR images using k-space artefact correction.I. Öksüz, J. Clough, W. Bai, B. Ruijsink, E. Puyol-Antón, G. Cruz, C. Prieto, A. King, and J. Schnabel. MIDL, volume 102 of Proceedings of Machine Learning Research, page 380-389. PMLR, (2019)Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space.I. Öksüz, J. Clough, B. Ruijsink, E. Puyol-Antón, A. Bustin, G. Cruz, C. Prieto, D. Rueckert, A. King, and J. Schnabel. CoRR, (2019)Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis.J. Harana, C. Asher, V. Vergani, M. Rizvi, L. Keehn, R. Kim, R. Judd, S. Petersen, R. Razavi, A. King and 2 other author(s). CoRR, (2022)Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images.T. Dawood, C. Chen, B. Sidhua, B. Ruijsink, J. Gould, B. Porter, M. Elliott, V. Mehta, C. Rinaldi, E. Puyol-Antón and 2 other author(s). CoRR, (2023)Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation.I. Öksüz, J. Clough, B. Ruijsink, E. Puyol-Antón, A. Bustin, G. Cruz, C. Prieto, A. King, and J. Schnabel. CoRR, (2019)Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.I. Öksüz, B. Ruijsink, E. Puyol-Antón, J. Clough, G. Cruz, A. Bustin, C. Prieto, R. Botnar, D. Rueckert, J. Schnabel and 1 other author(s). CoRR, (2018)Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection.I. Öksüz, B. Ruijsink, E. Puyol-Antón, A. Bustin, G. Cruz, C. Prieto, D. Rueckert, J. Schnabel, and A. King. MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 250-258. Springer, (2018)

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Disambiguation of "Ruijsink, Bram"

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Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling.

Please choose a person to relate this publication to

Bram Hanse

Bram Bolder

Bram Eldering

Bram Pluijmaekers

Kurt Bram

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ruijsink, Bram"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling.

Please choose a person to relate this publication to

Bram Hanse

Bram Bolder

Bram Eldering

Bram Pluijmaekers

Kurt Bram

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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APA
Chicago
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Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling.