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Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate
  Networks
v1v2 (latest)

Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks

17 October 2022
Dave Van Veen
Rogier van der Sluijs
Batu Mehmet Ozturkler
Arjun D Desai
Christian Blüthgen
R. Boutin
M. Willis
Gordon Wetzstein
David B. Lindell
S. Vasanawala
John M. Pauly
Akshay S. Chaudhari
    SupRMedIm
ArXiv (abs)PDFHTML

Papers citing "Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks"

17 / 17 papers shown
Title
Any-resolution Training for High-resolution Image Synthesis
Any-resolution Training for High-resolution Image Synthesis
Lucy Chai
Michael Gharbi
Eli Shechtman
Phillip Isola
Richard Y. Zhang
63
71
0
14 Apr 2022
Zero-shot Blind Image Denoising via Implicit Neural Representations
Zero-shot Blind Image Denoising via Implicit Neural Representations
Chaewon Kim
Jaeho Lee
Jinwoo Shin
59
13
0
05 Apr 2022
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image
  Labels for Quantitative Clinical Evaluation
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation
Arjun D Desai
Andrew M Schmidt
E. Rubin
Christopher M. Sandino
Marianne S. Black
...
R. Boutin
Christopher Ré
G. Gold
B. Hargreaves
Akshay S. Chaudhari
80
65
0
14 Mar 2022
BACON: Band-limited Coordinate Networks for Multiscale Scene
  Representation
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation
David B. Lindell
Dave Van Veen
Jeong Joon Park
Gordon Wetzstein
89
151
0
09 Dec 2021
Learning Continuous Representation of Audio for Arbitrary Scale Super
  Resolution
Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution
Jaechang Kim
Yunjoo Lee
Seunghoon Hong
Jungseul Ok
SupRCLL
52
13
0
30 Oct 2021
NeRP: Implicit Neural Representation Learning with Prior Embedding for
  Sparsely Sampled Image Reconstruction
NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction
Liyue Shen
John M. Pauly
Lei Xing
69
202
0
24 Aug 2021
IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via
  Implicit Neural Representation
IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation
Qing Wu
Yuwei Li
Lan Xu
Rui-jun Feng
Hongjian Wei
Qing Yang
Boliang Yu
Xiaozhao Liu
Jingyi Yu
Yuyao Zhang
55
57
0
29 Jun 2021
Modulated Periodic Activations for Generalizable Local Functional
  Representations
Modulated Periodic Activations for Generalizable Local Functional Representations
Ishit Mehta
Michael Gharbi
Connelly Barnes
Eli Shechtman
R. Ramamoorthi
Manmohan Chandraker
52
159
0
08 Apr 2021
Learning Continuous Image Representation with Local Implicit Image
  Function
Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen
Sifei Liu
Xiaolong Wang
SSLSupRCLL
89
679
0
16 Dec 2020
Learned Initializations for Optimizing Coordinate-Based Neural
  Representations
Learned Initializations for Optimizing Coordinate-Based Neural Representations
Matthew Tancik
B. Mildenhall
Terrance Wang
Divi Schmidt
Pratul P. Srinivasan
Jonathan T. Barron
Ren Ng
107
291
0
03 Dec 2020
Pre-Trained Image Processing Transformer
Pre-Trained Image Processing Transformer
Hanting Chen
Yunhe Wang
Tianyu Guo
Chang Xu
Yiping Deng
Zhenhua Liu
Siwei Ma
Chunjing Xu
Chao Xu
Wen Gao
VLMViT
143
1,677
0
01 Dec 2020
Fourier Features Let Networks Learn High Frequency Functions in Low
  Dimensional Domains
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
124
2,440
0
18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
165
2,571
0
17 Jun 2020
Denoising and Regularization via Exploiting the Structural Bias of
  Convolutional Generators
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators
Reinhard Heckel
Mahdi Soltanolkotabi
DiffM
79
83
0
31 Oct 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
602
10,590
0
12 Dec 2018
Compressed Sensing with Deep Image Prior and Learned Regularization
Compressed Sensing with Deep Image Prior and Learned Regularization
Dave Van Veen
A. Jalal
Mahdi Soltanolkotabi
Eric Price
S. Vishwanath
A. Dimakis
70
182
0
17 Jun 2018
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
182
5,921
0
10 Jul 2017
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