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Anatomical Priors for Image Segmentation via Post-Processing with
  Denoising Autoencoders

Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders

5 June 2019
Agostina J. Larrazabal
Cesar E. Martínez
Enzo Ferrante
ArXivPDFHTML

Papers citing "Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders"

6 / 6 papers shown
Title
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for
  Robust 3D Medical Image Segmentation
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
Jingjie Guo
Weitong Zhang
Matthew Sinclair
Daniel Rueckert
C. L. P. Chen
OOD
19
2
0
02 Jul 2023
Source-Free Unsupervised Domain Adaptation with Norm and Shape
  Constraints for Medical Image Segmentation
Source-Free Unsupervised Domain Adaptation with Norm and Shape Constraints for Medical Image Segmentation
Satoshi Kondo
OOD
23
4
0
03 Sep 2022
Cooperative Training and Latent Space Data Augmentation for Robust
  Medical Image Segmentation
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
C. L. P. Chen
Kerstin Hammernik
C. Ouyang
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
15
20
0
02 Jul 2021
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with
  Denoising Autoencoders
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders
Agostina J. Larrazabal
Cesar E. Martínez
Ben Glocker
Enzo Ferrante
11
65
0
24 Jun 2020
Learning Deformable Registration of Medical Images with Anatomical
  Constraints
Learning Deformable Registration of Medical Images with Anatomical Constraints
Lucas Mansilla
Diego H. Milone
Enzo Ferrante
MedIm
13
80
0
20 Jan 2020
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
13
750
0
27 Aug 2019
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