Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI.

P. Gilliland, A. Uus, M. van Poppel, I. Grigorescu, J. Steinweg, D. Lloyd, K. Pushparajah, A. King, and M. Deprez. CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Peter King

Harald King

Lorenz King

Oskar King

Rudolf King

Other publications of authors with the same name

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. IEEE Trans. Medical Imaging, 39 (12): 4001-4010 (2020)Channel Attention Networks for Robust MR Fingerprinting Matching.R. Soyak, E. Navruz, E. Ersoy, G. Cruz, C. Prieto, A. King, D. Ünay, and I. Öksüz. CoRR, (2020)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)A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR.N. Byrne, J. Clough, I. Valverde, G. Montana, and A. King. CoRR, (2021)Deep learning-based quality-controlled spleen assessment from ultrasound images.Z. Yuan, E. Puyol-Antón, H. Jogeesvaran, N. Smith, B. Inusa, and A. King. Biomed. Signal Process. Control., (2022)PET-MR respiratory signal estimation using semi-supervised manifold alignment.D. Balfour, J. Clough, X. Chen, M. Belzunce, C. Prieto, P. Marsden, A. Reader, and A. King. ISBI, page 599-603. IEEE, (2018)Magnetic Resonance Fingerprinting Using Recurrent Neural Networks.I. Öksüz, G. Cruz, J. Clough, A. Bustin, N. Fuin, R. Botnar, C. Prieto, A. King, and J. Schnabel. ISBI, page 1537-1540. IEEE, (2019)AI and Machine Learning: The Basics.N. Duchateau, E. Puyol-Antón, B. Ruijsink, and A. King. AI and Big Data in Cardiology, Springer International Publishing, (2023)The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images.D. Ugurlu, E. Puyol-Antón, B. Ruijsink, A. Young, I. Machado, K. Hammernik, A. King, and J. Schnabel. STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 57-65. Springer, (2021)Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data.I. Machado, E. Puyol-Antón, K. Hammernik, G. Cruz, D. Ugurlu, B. Ruijsink, M. Castelo-Branco, A. Young, C. Prieto, J. Schnabel and 1 other author(s). STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 12-20. Springer, (2021)

BibSonomy

Disambiguation of "King, Andrew P."

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI.

Please choose a person to relate this publication to

Peter King

Harald King

Lorenz King

Oskar King

Rudolf King

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "King, Andrew P."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI.

Please choose a person to relate this publication to

Peter King

Harald King

Lorenz King

Oskar King

Rudolf King

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI.