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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"

50 / 7,852 papers shown
Title
Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic
  Liver and Tumor Segmentation
Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation
Yading Yuan
25
76
0
12 Oct 2017
GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
Xing Di
Vishwanath A. Sindagi
Vishal M. Patel
CVBM
GAN
23
46
0
03 Oct 2017
Neural networks for topology optimization
Neural networks for topology optimization
Ivan Sosnovik
Ivan V. Oseledets
17
253
0
27 Sep 2017
Real-time 3D Shape Instantiation from Single Fluoroscopy Projection for
  Fenestrated Stent Graft Deployment
Real-time 3D Shape Instantiation from Single Fluoroscopy Projection for Fenestrated Stent Graft Deployment
Xiao-Yun Zhou
Jianyu Lin
C. Riga
Guang-Zhong Yang
Su-Lin Lee
12
26
0
22 Sep 2017
Convolutional neural networks that teach microscopes how to image
Convolutional neural networks that teach microscopes how to image
R. Horstmeyer
Richard Y. Chen
Barbara Kappes
B. Judkewitz
13
58
0
21 Sep 2017
MuseGAN: Multi-track Sequential Generative Adversarial Networks for
  Symbolic Music Generation and Accompaniment
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Hao-Wen Dong
Wen-Yi Hsiao
Li-Chia Yang
Yi-Hsuan Yang
MGen
GAN
16
535
0
19 Sep 2017
Large Scale Image Segmentation with Structured Loss based Deep Learning
  for Connectome Reconstruction
Large Scale Image Segmentation with Structured Loss based Deep Learning for Connectome Reconstruction
Jan Funke
Fabian Tschopp
William Grisaitis
Arlo Sheridan
Chandan Singh
S. Saalfeld
Srinivas C. Turaga
3DV
15
27
0
09 Sep 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yu Liu
Jan Kautz
3DPC
18
2,421
0
07 Sep 2017
Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D
  Convolutional Neural Networks
Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D Convolutional Neural Networks
Konstantin Sozykin
Stanislav Protasov
A. Khan
Rasheed Hussain
Jooyoung Lee
33
45
0
05 Sep 2017
Adversarial Networks for Spatial Context-Aware Spectral Image
  Reconstruction from RGB
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB
Aitor Alvarez-Gila
Joost van de Weijer
Estíbaliz Garrote
GAN
17
90
0
01 Sep 2017
Pix2face: Direct 3D Face Model Estimation
Pix2face: Direct 3D Face Model Estimation
Daniel E. Crispell
Maxim Bazik
3DH
CVBM
19
21
0
29 Aug 2017
3D Object Reconstruction from a Single Depth View with Adversarial
  Learning
3D Object Reconstruction from a Single Depth View with Adversarial Learning
Bo Yang
Hongkai Wen
Sen Wang
R. Clark
Andrew Markham
A. Trigoni
GAN
11
198
0
26 Aug 2017
Tags2Parts: Discovering Semantic Regions from Shape Tags
Tags2Parts: Discovering Semantic Regions from Shape Tags
Sanjeev Muralikrishnan
Vladimir G. Kim
S. Chaudhuri
26
24
0
22 Aug 2017
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
Mina Rezaei
Konstantin Harmuth
Willi Gierke
Thomas Kellermeier
Martin Fischer
Haojin Yang
Christoph Meinel
GAN
MedIm
22
120
0
17 Aug 2017
An Error Detection and Correction Framework for Connectomics
An Error Detection and Correction Framework for Connectomics
J. Zung
Ignacio Tartavull
Kisuk Lee
H. S. Seung
3DV
22
44
0
08 Aug 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
M. Kalra
Ge Wang
GAN
MedIm
30
1,187
0
03 Aug 2017
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected
  Volumetric ConvNets
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets
Lequan Yu
Jie-Zhi Cheng
Qi Dou
Xin Yang
Hao Chen
Jing Qin
Pheng-Ann Heng
16
220
0
02 Aug 2017
Photographic Image Synthesis with Cascaded Refinement Networks
Photographic Image Synthesis with Cascaded Refinement Networks
Qifeng Chen
V. Koltun
24
946
0
28 Jul 2017
Liver lesion segmentation informed by joint liver segmentation
Liver lesion segmentation informed by joint liver segmentation
Eugene Vorontsov
A. Tang
Chris Pal
Samuel Kadoury
MedIm
16
112
0
24 Jul 2017
Learned Primal-dual Reconstruction
Learned Primal-dual Reconstruction
J. Adler
Ozan Oktem
MedIm
19
747
0
20 Jul 2017
Fast, Simple Calcium Imaging Segmentation with Fully Convolutional
  Networks
Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks
Aleksander Klibisz
Derek C. Rose
Matthew R. Eicholtz
J. Blundon
Stanislav S Zakharenko
16
37
0
19 Jul 2017
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent
  Neural Contextual Learning and Direct Loss Function
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function
Jinzheng Cai
Le Lu
Yuanpu Xie
Fuyong Xing
L. Yang
MedIm
SSeg
32
132
0
16 Jul 2017
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Kamiel Magda Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
25
2,116
0
11 Jul 2017
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and
  Challenges
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Mennatullah Siam
Sara Elkerdawy
Martin Jägersand
S. Yogamani
111
166
0
08 Jul 2017
Discriminative Localization in CNNs for Weakly-Supervised Segmentation
  of Pulmonary Nodules
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules
Xinyang Feng
Jie-jin Yang
Andrew F. Laine
Elsa D. Angelini
14
159
0
04 Jul 2017
Skeleton-aided Articulated Motion Generation
Skeleton-aided Articulated Motion Generation
Yichao Yan
Jingwei Xu
Bingbing Ni
Xiaokang Yang
3DH
27
87
0
04 Jul 2017
Deep Convolutional Framelets: A General Deep Learning Framework for
  Inverse Problems
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
J. C. Ye
Yoseob Han
Eunju Cha
33
16
0
03 Jul 2017
Retinal Vessel Segmentation in Fundoscopic Images with Generative
  Adversarial Networks
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks
Jaemin Son
S. Park
Kyu-Hwan Jung
GAN
MedIm
10
159
0
28 Jun 2017
Satellite Imagery Feature Detection using Deep Convolutional Neural
  Network: A Kaggle Competition
Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition
V. Iglovikov
Sergey Mushinskiy
V. Osin
19
167
0
19 Jun 2017
Suggestive Annotation: A Deep Active Learning Framework for Biomedical
  Image Segmentation
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
L. Yang
Yizhe Zhang
Jianxu Chen
Siyuan Zhang
D. Z. Chen
MedIm
22
502
0
15 Jun 2017
$ν$-net: Deep Learning for Generalized Biventricular Cardiac Mass and
  Function Parameters
ννν-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters
H. Winther
Christian Hundt
B. Schmidt
C. Czerner
J. Bauersachs
F. Wacker
J. Vogel-Claussen
11
16
0
14 Jun 2017
Style Transfer for Anime Sketches with Enhanced Residual U-net and
  Auxiliary Classifier GAN
Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN
Lvmin Zhang
Yi Ji
Xin Lin
GAN
9
167
0
11 Jun 2017
Synthesizing Filamentary Structured Images with GANs
Synthesizing Filamentary Structured Images with GANs
He Zhao
Huiqi Li
Li Cheng
GAN
MedIm
22
26
0
07 Jun 2017
SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image
  Segmentation
SegAN: Adversarial Network with Multi-scale L1L_1L1​ Loss for Medical Image Segmentation
Yuan Xue
Tao Xu
Han Zhang
L. R. Long
Xiaolei Huang
MedIm
GAN
16
539
0
06 Jun 2017
Segmentation of Intracranial Arterial Calcification with Deeply
  Supervised Residual Dropout Networks
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks
Gerda Bortsova
Gijs van Tulder
Florian Dubost
Tingying Peng
Nassir Navab
A. van der Lugt
D. Bos
Marleen de Bruijne
18
15
0
04 Jun 2017
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Kisuk Lee
J. Zung
Peter H. Li
Viren Jain
H. S. Seung
3DV
17
266
0
31 May 2017
Neuron Segmentation Using Deep Complete Bipartite Networks
Neuron Segmentation Using Deep Complete Bipartite Networks
Jianxu Chen
Sreya Banerjee
Abhinav Grama
Walter J. Scheirer
D. Z. Chen
23
17
0
31 May 2017
Parcellation of Visual Cortex on high-resolution histological Brain
  Sections using Convolutional Neural Networks
Parcellation of Visual Cortex on high-resolution histological Brain Sections using Convolutional Neural Networks
H. Spitzer
K. Amunts
Stefan Harmeling
Timo Dickscheid
18
18
0
30 May 2017
Extracting 3D Vascular Structures from Microscopy Images using
  Convolutional Recurrent Networks
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks
Russell Bates
B. Irving
B. Markelc
Jakob Kaeppler
R. Muschel
Vicente Grau
J. Schnabel
MedIm
12
20
0
26 May 2017
GridNet with automatic shape prior registration for automatic MRI
  cardiac segmentation
GridNet with automatic shape prior registration for automatic MRI cardiac segmentation
Clément Zotti
Zhiming Luo
A. Lalande
O. Humbert
Pierre-Marc Jodoin
16
87
0
24 May 2017
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable
  Channels
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels
Paul Guerrero
H. Winnemöller
Wilmot Li
Niloy J. Mitra
MDE
19
7
0
22 May 2017
Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based
  Shape Priors
Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors
Junjie Bai
Abhay Shah
Xiaodong Wu
24
7
0
22 May 2017
Deep De-Aliasing for Fast Compressive Sensing MRI
Deep De-Aliasing for Fast Compressive Sensing MRI
Simiao Yu
Hao Dong
Guang Yang
Greg Slabaugh
P. Dragotti
...
Fangde Liu
Simon Arridge
J. Keegan
D. Firmin
Yike Guo
MedIm
OOD
21
58
0
19 May 2017
Pixel Deconvolutional Networks
Pixel Deconvolutional Networks
Hongyang Gao
Hao Yuan
Zhengyang Wang
Shuiwang Ji
SSeg
6
46
0
18 May 2017
A deep level set method for image segmentation
A deep level set method for image segmentation
Min Tang
Sepehr Valipour
Zichen Vincent Zhang
Dana Cobzas
Martin Jägersand
6
30
0
17 May 2017
A Generative Model of People in Clothing
A Generative Model of People in Clothing
Christoph Lassner
Gerard Pons-Moll
Peter V. Gehler
3DH
19
228
0
11 May 2017
Context-aware stacked convolutional neural networks for classification
  of breast carcinomas in whole-slide histopathology images
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
B. Bejnordi
G. Zuidhof
M. Balkenhol
M. Hermsen
P. Bult
Bram van Ginneken
N. Karssemeijer
G. Litjens
Jeroen van der Laak
26
161
0
10 May 2017
You said that?
You said that?
Joon Son Chung
A. Jamaludin
Andrew Zisserman
CVBM
12
258
0
08 May 2017
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural
  Network Method
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method
Xiao Han
MedIm
36
155
0
24 Apr 2017
Deep Learning for Photoacoustic Tomography from Sparse Data
Deep Learning for Photoacoustic Tomography from Sparse Data
Stephan Antholzer
Markus Haltmeier
Johannes Schwab
13
246
0
15 Apr 2017
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