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Shape-consistent Generative Adversarial Networks for multi-modal Medical
  segmentation maps

Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps

24 January 2022
Leo Segre
Or Hirschorn
Dvir Ginzburg
D. Raviv
    GAN
    MedIm
ArXivPDFHTML

Papers citing "Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps"

4 / 4 papers shown
Title
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang
Huiye Liu
Qiang Hu
ViT
MedIm
198
869
0
16 Feb 2021
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
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
135
426
0
09 Mar 2020
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
C. L. P. Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
53
664
0
09 Nov 2019
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,191
0
21 Nov 2016
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