Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning -- A Review

27 March 2024

Papers citing "Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning -- A Review"

8 / 8 papers shown

Title
Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Miriam Cobo David Corral Fontecha Wilson Silva Lara Lloret Iglesias OOD MedIm AI4CE 40 0 0 28 Apr 2025
NeAS: 3D Reconstruction from X-ray Images using Neural Attenuation Surface Chengrui Zhu Ryoichi Ishikawa Masataka Kagesawa Tomohisa Yuzawa Toru Watsuji Takeshi Oishi 41 0 0 10 Mar 2025
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction Yiqun Lin Zhongjin Luo Wei Zhao X. Li 47 29 0 12 Mar 2023
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 212 778 0 27 Jan 2022
Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks Zihao W. Wang C. Vandersteen T. Demarcy D. Gnansia C. Raffaelli N. Guevara H. Delingette MedIm 29 10 0 26 Apr 2021
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 138 426 0 09 Mar 2020
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,447 0 21 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 294 75,800 0 18 May 2015