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XraySyn: Realistic View Synthesis From a Single Radiograph Through CT
  Priors
v1v2 (latest)

XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors

AAAI Conference on Artificial Intelligence (AAAI), 2020
4 December 2020
Cheng-Fang Peng
Haofu Liao
Gina Wong
Jiebo Luo
S. Kevin Zhou
Rama Chellappa
    MedIm
ArXiv (abs)PDFHTML

Papers citing "XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors"

7 / 7 papers shown
LatXGen: Towards Radiation-Free and Accurate Quantitative Analysis of Sagittal Spinal Alignment Via Cross-Modal Radiographic View Synthesis
LatXGen: Towards Radiation-Free and Accurate Quantitative Analysis of Sagittal Spinal Alignment Via Cross-Modal Radiographic View Synthesis
Moxin Zhao
Nan Meng
Jason PY Cheung
Chris Yuk Kwan Tang
Chenxi Yu
Wenting Zhong
Pengyu Lu
Chang Shi
Yipeng Zhuang
Teng Zhang
114
0
0
29 Sep 2025
SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model
SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion ModelInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Chun Xie
Yuichi Yoshii
I. Kitahara
MedIm
291
1
0
07 Jul 2025
DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
Xing Xie
Jiawei Liu
Huijie Fan
Zhi Han
Yandong Tang
Liangqiong Qu
DiffMMedIm
339
2
0
22 Mar 2025
Denoising Diffusion Medical Models
Denoising Diffusion Medical ModelsIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Pham Ngoc Huy
Tran Minh Quan
MedImDiffM
107
8
0
19 Apr 2023
Neural Radiance Projection
Neural Radiance ProjectionIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Pham Ngoc Huy
Tran Minh Quan
GANMedIm
105
4
0
15 Mar 2022
X-ray Dissectography Enables Stereotography to Improve Diagnostic
  Performance
X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance
Chuang Niu
Ge Wang
105
0
0
30 Nov 2021
X2CT-FLOW: Maximum a posteriori reconstruction using a progressive
  flow-based deep generative model for ultra sparse-view computed tomography in
  ultra low-dose protocols
X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols
Hisaichi Shibata
S. Hanaoka
Y. Nomura
Takahiro Nakao
T. Takenaga
Naoto Hayashi
O. Abe
MedIm
178
2
0
09 Apr 2021
1
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