Flow-based Visual Quality Enhancer for Super-resolution Magnetic
Resonance Spectroscopic Imaging

Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging

20 July 2022

Robin A. de Graaf

James S. Duncan

Papers citing "Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging"

18 / 18 papers shown

Title
Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness Siyuan Dong G. Hangel W. Bogner G. Widhalm K. Rössler S. Trattnig Chenyu You Robin A. de Graaf J. Onofrey James Duncan 41 10 0 17 Jun 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement Siyuan Dong Eric Z. Chen Lin Zhao Xiao Chen Yikang Liu Terrence Chen Shanhui Sun 51 5 0 06 Jun 2022
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling Christos Sakaridis Andreas Lugmayr Peng Sun Martin Danelljan Luc Van Gool Radu Timofte 84 105 0 11 Aug 2021
Best-Buddy GANs for Highly Detailed Image Super-Resolution Wenbo Li Kun Zhou Lu Qi Liying Lu Nianjuan Jiang Jiangbo Lu Jiaya Jia GAN 44 73 0 29 Mar 2021
Solving inverse problems using conditional invertible neural networks G. A. Padmanabha N. Zabaras AI4CE 44 64 0 31 Jul 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte SupR DRL 78 360 0 25 Jun 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 240 551 0 08 Mar 2020
Learning Likelihoods with Conditional Normalizing Flows Christina Winkler Daniel E. Worrall Emiel Hoogeboom Max Welling TPM 223 225 0 29 Nov 2019
Deep Learning for Image Super-resolution: A Survey Zhihao Wang Jian Chen Guosheng Lin SupR 66 1,439 0 16 Feb 2019
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities Jose Dolz Ismail Ben Ayed Christian Desrosiers 37 100 0 16 Oct 2018
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 55 490 0 14 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 290 3,129 0 09 Jul 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 376 11,790 0 11 Jan 2018
The Perception-Distortion Tradeoff Yochai Blau T. Michaeli SupR 121 811 0 16 Nov 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 263 78 0 26 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 308 4,179 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014