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U-Net: Convolutional Networks for Biomedical Image Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

18 May 2015
Olaf Ronneberger
Philipp Fischer
Thomas Brox
    SSeg
    3DV
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Papers citing "U-Net: Convolutional Networks for Biomedical Image Segmentation"

6 / 9,206 papers shown
Title
Global Deconvolutional Networks for Semantic Segmentation
Global Deconvolutional Networks for Semantic Segmentation
Vladimir Nekrasov
Janghoon Ju
Jaesik Choi
SSeg
31
12
0
12 Feb 2016
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
S. Honari
J. Yosinski
Pascal Vincent
C. Pal
30
121
0
23 Nov 2015
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Kyunghyun Cho
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLM
SSeg
19
251
0
22 Nov 2015
Deep multi-scale video prediction beyond mean square error
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu
Camille Couprie
Yann LeCun
GAN
39
1,876
0
17 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,645
0
02 Nov 2015
A Bottom-up Approach for Pancreas Segmentation using Cascaded
  Superpixels and (Deep) Image Patch Labeling
A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling
A. Farag
Le Lu
H. Roth
Jiamin Liu
E. Turkbey
Ronald M. Summers
18
152
0
22 May 2015
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