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Implicit Neural Representations for Robust Joint Sparse-View CT
  Reconstruction

Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction

3 May 2024
Jiayang Shi
Junyi Zhu
D. Pelt
K. Batenburg
Matthew B. Blaschko
ArXivPDFHTML

Papers citing "Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction"

12 / 12 papers shown
Title
Transformers as Meta-Learners for Implicit Neural Representations
Transformers as Meta-Learners for Implicit Neural Representations
Yinbo Chen
Xiaolong Wang
AI4CE
61
64
0
04 Aug 2022
Improving Diffusion Models for Inverse Problems using Manifold
  Constraints
Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung
Byeongsu Sim
Dohoon Ryu
J. C. Ye
DiffM
MedIm
64
444
0
02 Jun 2022
Image-to-Image Regression with Distribution-Free Uncertainty
  Quantification and Applications in Imaging
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
Anastasios Nikolas Angelopoulos
Amit Kohli
Stephen Bates
Michael I. Jordan
Jitendra Malik
Thayer Alshaabi
Srigokul Upadhyayula
Yaniv Romano
UQCV
OOD
57
94
0
10 Feb 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller
Alex Evans
Christoph Schied
A. Keller
235
3,948
0
16 Jan 2022
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Dor Verbin
Pratul P. Srinivasan
Peter Hedman
115
1,659
0
23 Nov 2021
The Medical Segmentation Decathlon
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
82
965
0
10 Jun 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance
  Fields
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Matthew Tancik
Peter Hedman
Ricardo Martín Brualla
Pratul P. Srinivasan
65
1,945
0
24 Mar 2021
Bayesian Neural Network Priors Revisited
Bayesian Neural Network Priors Revisited
Vincent Fortuin
Adrià Garriga-Alonso
Sebastian W. Ober
F. Wenzel
Gunnar Rätsch
Richard Turner
Mark van der Wilk
Laurence Aitchison
BDL
UQCV
82
140
0
12 Feb 2021
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
84
288
0
03 Dec 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
86
2,516
0
17 Jun 2020
A Cone-Beam X-Ray CT Data Collection designed for Machine Learning
A Cone-Beam X-Ray CT Data Collection designed for Machine Learning
H. der Sarkissian
F. Lucka
Maureen van Eijnatten
G. Colacicco
S. Coban
K. Batenburg
21
49
0
12 May 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
752
11,793
0
09 Mar 2017
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