A Squeeze Convolutional Network For MRI Right Ventricle Segmentation
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[1] Georgios B. Giannakis,et al. Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[2] Edward J. Delp,et al. Locating Objects Without Bounding Boxes , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Daniel Rueckert,et al. Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images , 2018, ShapeMI@MICCAI.
[4] Nicholas Ayache,et al. 3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation , 2018, IEEE Transactions on Medical Imaging.
[5] François Chollet,et al. Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[7] Bertil Schmidt,et al. $ν$-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters , 2017, ArXiv.
[8] Olga V. Senyukova,et al. Right Ventricle Segmentation in Cardiac MR Images Using U-Net with Partly Dilated Convolution , 2018, ICANN.
[9] Sébastien Ourselin,et al. Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion , 2013, FIMH.
[10] Jiaming Guo,et al. Deep patch-wise colorization model for grayscale images , 2016, SIGGRAPH Asia Technical Briefs.
[11] Hamid Jafarkhani,et al. Automatic segmentation of the right ventricle from cardiac MRI using a learning‐based approach , 2017, Magnetic resonance in medicine.
[12] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[13] Ben Glocker,et al. Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation , 2017, MICCAI.
[14] Dong-Hyun Kim,et al. Fully coupled aero-hydrodynamic analysis of a semi-submersible FOWT using a dynamic fluid body interaction approach , 2016 .
[15] Jitendra Malik,et al. Region-Based Convolutional Networks for Accurate Object Detection and Segmentation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Roberto Cipolla,et al. Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Damini Dey,et al. Cardiac imaging: working towards fully-automated machine analysis & interpretation , 2017, Expert review of medical devices.
[18] Enhua Wu,et al. Squeeze-and-Excitation Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.