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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
ArXivPDFHTML

Papers citing "U-Net: Convolutional Networks for Biomedical Image Segmentation"

14 / 10,014 papers shown
Title
Deep Learning Convolutional Networks for Multiphoton Microscopy
  Vasculature Segmentation
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
Petteri Teikari
Marc A. Santos
Charissa Poon
K. Hynynen
3DV
24
48
0
08 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
92
18,058
0
02 Jun 2016
Artistic style transfer for videos
Artistic style transfer for videos
Manuel Ruder
Alexey Dosovitskiy
Thomas Brox
19
193
0
28 Apr 2016
Pixel-level Encoding and Depth Layering for Instance-level Semantic
  Labeling
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
J. Uhrig
Marius Cordts
Uwe Franke
Thomas Brox
SSeg
27
174
0
18 Apr 2016
Fully-Automatic Synapse Prediction and Validation on a Large Data Set
Fully-Automatic Synapse Prediction and Validation on a Large Data Set
Gary B. Huang
Louis K. Scheffer
Stephen M. Plaza
3DV
24
50
0
11 Apr 2016
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Hao Chen
Xiaojuan Qi
Lequan Yu
Pheng-Ann Heng
MedIm
33
578
0
10 Apr 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm
3DV
91
3,041
0
18 Mar 2016
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest
K. Sirinukunwattana
J. Pluim
Hao Chen
Xiaojuan Qi
Pheng-Ann Heng
...
Philipp Kainz
Michael Pfeiffer
M. Urschler
David R. J. Snead
Nasir M. Rajpoot
22
782
0
01 Mar 2016
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
77
1,878
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
454
15,657
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
25
152
0
22 May 2015
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