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Disambiguation of "King, Andrew P."

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Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression.

, , , , , and . MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 270-278. Springer, (2017)

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Peter King

Harald King

Lorenz King

Oskar King

Rudolf King

 

Other publications of authors with the same name

Active training of physics-informed neural networks to aggregate and interpolate parametric solutions to the Navier-Stokes equations., and . J. Comput. Phys., (2021)Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI., , , , , , , , and . CoRR, (2023)Automatic Detection of Extra-Cardiac Findings in Cardiovascular Magnetic Resonance., , , , and . MIUA, volume 12722 of Lecture Notes in Computer Science, page 98-107. Springer, (2021)Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment., , , , , , and . MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 493-501. (2016)Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation., , , , , , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 413-423. Springer, (2021)Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning., , , , and . AMAI@MICCAI, volume 13540 of Lecture Notes in Computer Science, page 49-58. Springer, (2022)Extraction of Cardiac and Respiratory Motion Information from Cardiac X-Ray Fluoroscopy Images Using Hierarchical Manifold Learning., , , , , , , , , and . STACOM, volume 8330 of Lecture Notes in Computer Science, page 126-134. Springer, (2013)Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning., , , , , , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 493-500. Springer, (2015)Mechanically Powered Motion Imaging Phantoms: Proof of Concept., , , , , , , , , and 1 other author(s). EMBC, page 2723-2726. IEEE, (2019)Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR., , , , and . SUSI/PIPPI@MICCAI, volume 11798 of Lecture Notes in Computer Science, page 181-188. Springer, (2019)