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NMR in Biomedicine|March 31, 2023
Single-heartbeat cardiac cine imaging via jointly regularized nonrigid motion-corrected reconstructionGastao Cruz, Kerstin Hammernik, Thomas Kuestner, et al.
Neuroimage. Clinical|June 6, 2018
Brain lesion segmentation through image synthesis and outlier detectionChristopher Bowles, Chen Qin, Ricardo Guerrero, et al.
IEEE Transactions on Medical Imaging|February 17, 2017
Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian ConstraintMaria Kuklisova-Murgasova, Georgia Lockwood Estrin, Rita G Nunes, et al.
Brain and Behavior|June 14, 2021
Extent of white matter lesion is associated with early hemorrhagic transformation in acute ischemic stroke related to atrial fibrillationLucio D'Anna, Filippos T Filippidis, Kirsten Harvey, et al.
Plos One|March 19, 2013
Detailed analysis of gene polymorphisms associated with ischemic stroke in South AsiansSunaina Yadav, Nazeeha Hasan, Thomas Marjot, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 7, 2021
Fast Multiple Landmark Localisation Using a Patch-based Iterative NetworkYuanwei Li, Amir Alansary, Juan J Cerrolaza, et al.
Medical Image Analysis|November 20, 2016
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentationKonstantinos Kamnitsas, Christian Ledig, Virginia F J Newcombe, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D ImagesBenjamin Hou, Bishesh Khanal, Amir Alansary, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Self-Aligning Manifolds for Matching Disparate Medical Image DatasetsChristian F Baumgartner, Alberto Gomez, Lisa M Koch, et al.
Medical Physics|July 31, 2017
Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approachIoannis Lavdas, Ben Glocker, Konstantinos Kamnitsas, et al.
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