AC-IND: Sparse CT reconstruction based on attenuation coefficient
estimation and implicit neural distribution

AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution

11 September 2024

Richard Schoonhoven

Tristan van Leeuwen

Matthew B. Blaschko

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Papers citing "AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution"

13 / 13 papers shown

Title
Generalizable Neural Fields as Partially Observed Neural Processes Jeffrey Gu Kuan-Chieh Wang Serena Yeung AI4CE 84 4 0 13 Sep 2023
Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction Wangduo Xie Matthew B. Blaschko MedIm 53 5 0 24 Jul 2023
WIRE: Wavelet Implicit Neural Representations Vishwanath Saragadam Daniel LeJeune Jasper Tan Guha Balakrishnan Ashok Veeraraghavan Richard G. Baraniuk AI4CE 91 144 0 05 Jan 2023
Urban Radiance Fields Konstantinos Rematas An Liu Pratul P. Srinivasan Jonathan T. Barron Andrea Tagliasacchi Thomas Funkhouser V. Ferrari 56 288 0 29 Nov 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 105 533 0 15 Nov 2021
Learned Initializations for Optimizing Coordinate-Based Neural Representations Matthew Tancik B. Mildenhall Terrance Wang Divi Schmidt Pratul P. Srinivasan Jonathan T. Barron Ren Ng 109 291 0 03 Dec 2020
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 130 2,440 0 18 Jun 2020
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
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks Xingde Ying Heng Guo Kai Ma Jian Wu Z. Weng Yefeng Zheng GAN MedIm 64 192 0 16 May 2019
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 49 49 0 12 May 2019
Radon Inversion via Deep Learning Ji He Jianhua Ma MedIm 54 115 0 09 Aug 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 156 1,455 0 22 Jun 2018
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 71 2,122 0 11 Nov 2016