Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI

18 February 2022

Papers citing "Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI"

22 / 22 papers shown

Title
SIMPLE: Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic Data Rotem Benisty Yevgenia Shteynman Moshe Porat Anat Illivitzki Moti Freiman 93 0 0 23 Aug 2024
Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples Jörg Sander B. D. de Vos Ivana Išgum MedIm 40 17 0 25 Oct 2020
Depth-Aware Video Frame Interpolation Wenbo Bao Wei-Sheng Lai Chao Ma Xiaoyun Zhang Zhiyong Gao Ming-Hsuan Yang MDE 119 504 0 01 Apr 2019
Medical Image Imputation from Image Collections Adrian Dalca Katherine Bouman William T. Freeman N. Rost M. Sabuncu Polina Golland MedIm 29 36 0 17 Aug 2018
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer David Berthelot Colin Raffel Aurko Roy Ian Goodfellow 62 264 0 19 Jul 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music Adam Roberts Jesse Engel Colin Raffel Curtis Hawthorne Douglas Eck BDL 73 481 0 13 Mar 2018
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network Yuhua Chen Feng Shi A. Christodoulou Zhengwei Zhou Yibin Xie Debiao Li MedIm 62 306 0 04 Mar 2018
Self Super-Resolution for Magnetic Resonance Images using Deep Networks Can Zhao A. Carass Blake E. Dewey Jerry L. Prince SupR 33 55 0 26 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 379 11,877 0 11 Jan 2018
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks Yuhua Chen Yibin Xie Zhengwei Zhou Feng Shi A. Christodoulou Debiao Li SupR 59 231 0 08 Jan 2018
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation Huaizu Jiang Deqing Sun Varun Jampani Ming-Hsuan Yang Erik Learned-Miller Jan Kautz 120 788 0 30 Nov 2017
The Riemannian Geometry of Deep Generative Models Hang Shao Abhishek Kumar P. T. Fletcher DRL 61 183 0 21 Nov 2017
Latent Space Oddity: on the Curvature of Deep Generative Models Georgios Arvanitidis Lars Kai Hansen Søren Hauberg DRL 110 270 0 31 Oct 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 176 5,917 0 10 Jul 2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation Ozan Oktay Enzo Ferrante Konstantinos Kamnitsas M. Heinrich Wenjia Bai ... T. Dawes D. O’Regan Bernhard Kainz Ben Glocker Daniel Rueckert 62 658 0 22 May 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 83 2,110 0 17 Jan 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,707 0 15 Sep 2016
Deeply-Recursive Convolutional Network for Image Super-Resolution Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 141 2,507 0 14 Nov 2015
Removing Camera Shake via Weighted Fourier Burst Accumulation M. Delbracio Guillermo Sapiro 38 51 0 11 May 2015
Image Super-Resolution Using Deep Convolutional Networks Chao Dong Chen Change Loy Kaiming He Xiaoou Tang SupR 155 8,091 0 31 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014