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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
    SSeg3DV
ArXiv (abs)PDFHTML

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

50 / 13,091 papers shown
Title
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky
  Noisy-or Network
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network
Fangzhou Liao
Ming Liang
Zhe Li
Xiaolin Hu
Sen Song
MedIm
85
422
0
22 Nov 2017
Fully Convolutional Neural Networks for Page Segmentation of Historical
  Document Images
Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images
C. Wick
F. Puppe
SSeg
62
71
0
21 Nov 2017
Detection of Tooth caries in Bitewing Radiographs using Deep Learning
Detection of Tooth caries in Bitewing Radiographs using Deep Learning
Muktabh Mayank Srivastava
Pratyush Kumar
Lalit Pradhan
Srikrishna Varadarajan
MedIm
31
77
0
20 Nov 2017
Learning Steerable Filters for Rotation Equivariant CNNs
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler
Fred Hamprecht
M. Storath
124
388
0
20 Nov 2017
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial
  Networks
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
Orest Kupyn
Volodymyr Budzan
Mykola Mykhailych
Dmytro Mishkin
Jirí Matas
3DV
136
1,465
0
19 Nov 2017
DLTK: State of the Art Reference Implementations for Deep Learning on
  Medical Images
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images
Nick Pawlowski
S. Ktena
M. J. Lee
Bernhard Kainz
Daniel Rueckert
Ben Glocker
Martin Rajchl
LM&MAMedIm
70
82
0
18 Nov 2017
Segmenting Brain Tumors with Symmetry
Segmenting Brain Tumors with Symmetry
Hejia Zhang
Xia Zhu
Theodore L. Willke
44
10
0
17 Nov 2017
Driven to Distraction: Self-Supervised Distractor Learning for Robust
  Monocular Visual Odometry in Urban Environments
Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments
Dan Barnes
William P. Maddern
Geoffrey Pascoe
Ingmar Posner
100
69
0
17 Nov 2017
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via
  Adversarial Training
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
Faisal Mahmood
Richard J. Chen
Nicholas J. Durr
OODMedIm
90
232
0
17 Nov 2017
Separating Style and Content for Generalized Style Transfer
Separating Style and Content for Generalized Style Transfer
Yexun Zhang
Ya Zhang
Wenbin Cai
Jie Chang
107
177
0
17 Nov 2017
Chinese Typeface Transformation with Hierarchical Adversarial Network
Chinese Typeface Transformation with Hierarchical Adversarial Network
Jie Chang
Yujun Gu
Ya Zhang
GAN
54
10
0
17 Nov 2017
xUnit: Learning a Spatial Activation Function for Efficient Image
  Restoration
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration
I. Kligvasser
Tamar Rott Shaham
T. Michaeli
74
58
0
17 Nov 2017
3D Reconstruction of Incomplete Archaeological Objects Using a
  Generative Adversarial Network
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
Renato Hermoza
I. Sipiran
GAN
94
55
0
17 Nov 2017
HandSeg: An Automatically Labeled Dataset for Hand Segmentation from
  Depth Images
HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images
Abhishake Kumar Bojja
Franziska Mueller
S. R. Malireddi
Markus Oberweger
Vincent Lepetit
Christian Theobalt
K. M. Yi
Andrea Tagliasacchi
VLM3DH
64
21
0
16 Nov 2017
Learning Deeply Supervised Good Features to Match for Dense Monocular
  Reconstruction
Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction
C. Weerasekera
Ravi Garg
Yasir Latif
Ian Reid
MDE
69
7
0
16 Nov 2017
How Generative Adversarial Networks and Their Variants Work: An Overview
How Generative Adversarial Networks and Their Variants Work: An Overview
Yongjun Hong
Uiwon Hwang
Jaeyoon Yoo
Sungroh Yoon
GAN
129
159
0
16 Nov 2017
Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants
Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants
Eduardo Aguilar
Beatriz Remeseiro
Marc Bolaños
Petia Radeva
83
110
0
14 Nov 2017
Crowd counting via scale-adaptive convolutional neural network
Crowd counting via scale-adaptive convolutional neural network
Lu Zhang
Miaojing Shi
Qiaobo Chen
46
242
0
13 Nov 2017
Deep Networks tag the location of bird vocalisations on audio
  spectrograms
Deep Networks tag the location of bird vocalisations on audio spectrograms
Lefteris Fanioudakis
I. Potamitis
43
20
0
12 Nov 2017
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic
  Eddies
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies
Redouane Lguensat
Miao Sun
Ronan Fablet
E. Mason
P. Tandeo
Ge Chen
107
145
0
10 Nov 2017
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep
  Neural Networks
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks
S. Hamilton
A. Hauptmann
91
256
0
08 Nov 2017
Multi-stage Suture Detection for Robot Assisted Anastomosis based on
  Deep Learning
Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning
Yang Hu
Yun Gu
Jie Yang
Guang-Zhong Yang
50
12
0
08 Nov 2017
Remote Sensing Image Fusion Based on Two-stream Fusion Network
Remote Sensing Image Fusion Based on Two-stream Fusion Network
Xiangyu Liu
Qingjie Liu
Yunhong Wang
99
309
0
07 Nov 2017
Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D
  Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted
  Focal U-Net
Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted Focal U-Net
Xiao-Yun Zhou
Su-Lin Lee
Guang-Zhong Yang
3DPC
79
34
0
04 Nov 2017
Ensembles of Multiple Models and Architectures for Robust Brain Tumour
  Segmentation
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Konstantinos Kamnitsas
Wenjia Bai
Enzo Ferrante
Jingyu Sun
Matthew Sinclair
...
Martin Rajchl
Matthew C. H. Lee
Bernhard Kainz
Daniel Rueckert
Ben Glocker
3DVAAMLOOD
67
437
0
04 Nov 2017
Ω-Net (Omega-Net): Fully Automatic, Multi-View Cardiac MR
  Detection, Orientation, and Segmentation with Deep Neural Networks
Ω-Net (Omega-Net): Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks
D. Vigneault
Weidi Xie
Carolyn Y. Ho
D. Bluemke
J. A. Noble
68
12
0
03 Nov 2017
AxonDeepSeg: automatic axon and myelin segmentation from microscopy data
  using convolutional neural networks
AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks
Aldo Zaimi
Maxime Wabartha
Victor Herman
Pierre-Louis Antonsanti
C. Perone
Julien Cohen-Adad
38
126
0
03 Nov 2017
Data, Depth, and Design: Learning Reliable Models for Skin Lesion
  Analysis
Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis
Eduardo Valle
Michel Fornaciali
Afonso Menegola
Julia Tavares
F. Bittencourt
Lin Tzy Li
Sandra Avila
79
25
0
01 Nov 2017
Automatic calcium scoring in low-dose chest CT using deep neural
  networks with dilated convolutions
Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions
Nikolas Lessmann
Bram van Ginneken
M. Zreik
P. D. de Jong
B. D. de Vos
M. Viergever
Ivana Išgum
72
194
0
01 Nov 2017
Segmentation-by-Detection: A Cascade Network for Volumetric Medical
  Image Segmentation
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation
Min Tang
Zichen Zhang
Dana Cobzas
Martin Jägersand
Jacob L. Jaremko
63
22
0
31 Oct 2017
Adversarial Semi-Supervised Audio Source Separation applied to Singing
  Voice Extraction
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction
Daniel Stoller
Sebastian Ewert
S. Dixon
91
72
0
31 Oct 2017
Deep Learning and Conditional Random Fields-based Depth Estimation and
  Topographical Reconstruction from Conventional Endoscopy
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy
Faisal Mahmood
Nicholas J. Durr
MedIm
161
144
0
30 Oct 2017
Learning to diagnose from scratch by exploiting dependencies among
  labels
Learning to diagnose from scratch by exploiting dependencies among labels
L. Yao
Eric Poblenz
Dmitry Dagunts
Ben Covington
D. Bernard
Kevin Lyman
83
336
0
28 Oct 2017
Automated Design using Neural Networks and Gradient Descent
Automated Design using Neural Networks and Gradient Descent
O. Hennigh
48
8
0
27 Oct 2017
Deep Illumination: Approximating Dynamic Global Illumination with
  Generative Adversarial Network
Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Network
M. M. Thomas
A. Forbes
3DV
53
25
0
26 Oct 2017
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning
S. Salehi
Seyed Raein Hashemi
C. Velasco-Annis
Abdelhakim Ouaalam
J. Estroff
Deniz Erdogmus
Simon K. Warfield
Ali Gholipour
64
89
0
25 Oct 2017
Automated cardiovascular magnetic resonance image analysis with fully
  convolutional networks
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
Wenjia Bai
Matthew Sinclair
G. Tarroni
Ozan Oktay
Martin Rajchl
...
S. Petersen
Stefan K. Piechnik
S. Neubauer
Ben Glocker
Daniel Rueckert
79
34
0
25 Oct 2017
Image Segmentation and Classification for Sickle Cell Disease using
  Deformable U-Net
Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net
Mo Zhang
Xiang Li
Mengjia Xu
Quanzheng Li
SSeg
48
27
0
23 Oct 2017
Rethinking Convolutional Semantic Segmentation Learning
Rethinking Convolutional Semantic Segmentation Learning
Mrinal Haloi
BDL
49
4
0
22 Oct 2017
HDR image reconstruction from a single exposure using deep CNNs
HDR image reconstruction from a single exposure using deep CNNs
Gabriel Eilertsen
J. Kronander
G. Denes
Rafał K. Mantiuk
Jonas Unger
3DV
142
555
0
20 Oct 2017
Computational ghost imaging using deep learning
Computational ghost imaging using deep learning
Tomoyoshi Shimobaba
Yutaka Endo
Takashi Nishitsuji
Takayuki Takahashi
Yuki Nagahama
...
M. Sano
Ryuji Hirayama
Takashi Kakue
Atsushi Shiraki
T. Ito
57
123
0
19 Oct 2017
Simultaneous Recognition and Pose Estimation of Instruments in Minimally
  Invasive Surgery
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery
T. Kurmann
Pablo Márquez-Neila
Xiaofei Du
Pascal Fua
Danail Stoyanov
Sebastian Wolf
Raphael Sznitman
65
83
0
18 Oct 2017
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE
  detection in CT Scans
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans
Monika Grewal
Muktabh Mayank Srivastava
Pulkit Kumar
Srikrishna Varadarajan
MedIm
87
197
0
13 Oct 2017
Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional
  Generative Adversarial Nets
Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets
Kenji Enomoto
Ken Sakurada
Weimin Wang
Hiroshi Fukui
M. Matsuoka
Ryosuke Nakamura
Nobuo Kawaguchi
GAN
50
124
0
13 Oct 2017
Retinal Vasculature Segmentation Using Local Saliency Maps and
  Generative Adversarial Networks For Image Super Resolution
Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution
Dwarikanath Mahapatra
Behzad Bozorgtabar
MedImGAN
62
40
0
13 Oct 2017
Retinal Fluid Segmentation and Detection in Optical Coherence Tomography
  Images using Fully Convolutional Neural Network
Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network
Donghuan Lu
Morgan Lindsay Heisler
Sieun Lee
G. Ding
M. Sarunic
M. Beg
64
31
0
13 Oct 2017
Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic
  Liver and Tumor Segmentation
Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation
Yading Yuan
73
76
0
12 Oct 2017
Interactive Medical Image Segmentation using Deep Learning with
  Image-specific Fine-tuning
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning
Guotai Wang
Wenqi Li
Maria A. Zuluaga
R. Pratt
P. Patel
...
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
102
692
0
11 Oct 2017
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling
  Localization via Fully Convolutional Networks for Solar Panels
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels
Sachin Mehta
A. Azad
Saneem A. Chemmengath
V. Raykar
S. Kalyanaraman
73
87
0
10 Oct 2017
Iterative PET Image Reconstruction Using Convolutional Neural Network
  Representation
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation
Kuang Gong
Jiahui Guan
Kyungsang Kim
Xuezhu Zhang
Xiaofeng Liu
J. Qi
Quanzheng Li
MedIm
45
223
0
09 Oct 2017
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