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Feature-oriented Deep Learning Framework for Pulmonary Cone-beam CT
  (CBCT) Enhancement with Multi-task Customized Perceptual Loss

Feature-oriented Deep Learning Framework for Pulmonary Cone-beam CT (CBCT) Enhancement with Multi-task Customized Perceptual Loss

1 November 2023
Jiarui Zhu
Werxing Chen
Hongfei Sun
Shaohua Zhi
Jing Qin
J. Cai
G. Ren
    MedIm
ArXivPDFHTML

Papers citing "Feature-oriented Deep Learning Framework for Pulmonary Cone-beam CT (CBCT) Enhancement with Multi-task Customized Perceptual Loss"

14 / 14 papers shown
Title
Generalizable multi-task, multi-domain deep segmentation of sparse
  pediatric imaging datasets via multi-scale contrastive regularization and
  multi-joint anatomical priors
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors
Arnaud Boutillon
Pierre-Henri Conze
C. Pons
Valérie Burdin
Bhushan S Borotikar
50
18
0
27 Jul 2022
Content-Preserving Unpaired Translation from Simulated to Realistic
  Ultrasound Images
Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images
Devavrat Tomar
Lin Zhang
Tiziano Portenier
O. Goksel
DiffM
MedIm
45
20
0
09 Mar 2021
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Elad Richardson
Yuval Alaluf
Or Patashnik
Yotam Nitzan
Yaniv Azar
Stav Shapiro
Daniel Cohen-Or
133
1,108
0
03 Aug 2020
Automatic Registration between Cone-Beam CT and Scanned Surface via
  Deep-Pose Regression Neural Networks and Clustered Similarities
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities
Minyoung Chung
Jingyu Lee
Wisoo Song
Youngchan Song
I. Yang
Jeongjin Lee
Y. Shin
40
25
0
29 Jul 2019
VoxelMorph: A Learning Framework for Deformable Medical Image
  Registration
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Guha Balakrishnan
Amy Zhao
M. Sabuncu
John Guttag
Adrian Dalca
MedIm
115
1,574
0
14 Sep 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
  Multitask Networks
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen
Vijay Badrinarayanan
Chen-Yu Lee
Andrew Rabinovich
ODL
160
1,286
0
07 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,500
0
05 Sep 2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with
  Wasserstein Distance and Perceptual Loss
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang
Pingkun Yan
Yanbo Zhang
Hengyong Yu
Yongyi Shi
X. Mou
Mannudeep K. Kalra
Ge Wang
GAN
MedIm
61
1,201
0
03 Aug 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
149
2,828
0
15 Jun 2017
Medical Image Synthesis with Context-Aware Generative Adversarial
  Networks
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
Dong Nie
Roger Trullo
Caroline Petitjean
S. Ruan
Dinggang Shen
GAN
MedIm
76
687
0
16 Dec 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
234
10,249
0
27 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
LLNet: A Deep Autoencoder Approach to Natural Low-light Image
  Enhancement
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement
Kin Gwn Lore
Adedotun Akintayo
Soumik Sarkar
44
1,461
0
12 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,196
0
18 May 2015
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