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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 / 13,119 papers shown
Title
A Probabilistic U-Net for Segmentation of Ambiguous Images
A Probabilistic U-Net for Segmentation of Ambiguous Images
Simon A. A. Kohl
Bernardino Romera-Paredes
Clemens Meyer
J. Fauw
J. Ledsam
Klaus H. Maier-Hein
S. M. Ali Eslami
Danilo Jimenez Rezende
Olaf Ronneberger
UQCVSSeg
86
578
0
13 Jun 2018
A Unified Framework for Generalizable Style Transfer: Style and Content
  Separation
A Unified Framework for Generalizable Style Transfer: Style and Content Separation
Yexun Zhang
Ya Zhang
Wenbin Cai
64
40
0
13 Jun 2018
Imperfect Segmentation Labels: How Much Do They Matter?
Imperfect Segmentation Labels: How Much Do They Matter?
N. Heller
Joshua Dean
Nikolaos Papanikolopoulos
94
37
0
12 Jun 2018
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial
  Scars Segmentation
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation
Jun Chen
Guang Yang
Zijian Gao
Hao Ni
Elsa D. Angelini
...
Yanping Zhang
Xiuquan Du
Heye Zhang
J. Keegan
D. Firmin
68
31
0
12 Jun 2018
U-SegNet: Fully Convolutional Neural Network based Automated Brain
  tissue segmentation Tool
U-SegNet: Fully Convolutional Neural Network based Automated Brain tissue segmentation Tool
Pulkit Kumar
Pravin Nagar
Chetan Arora
Anubha Gupta
43
90
0
12 Jun 2018
Task Driven Generative Modeling for Unsupervised Domain Adaptation:
  Application to X-ray Image Segmentation
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
Yue Zhang
S. Miao
Tommaso Mansi
Rui Liao
MedIm
80
206
0
11 Jun 2018
Improving Whole Slide Segmentation Through Visual Context - A Systematic
  Study
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study
K. Sirinukunwattana
N. K. Alham
C. Verrill
J. Rittscher
72
41
0
11 Jun 2018
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image
  Segmentation Pipelines
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines
Martin Rajchl
Nick Pawlowski
Daniel Rueckert
Paul M. Matthews
Ben Glocker
SSeg
69
35
0
11 Jun 2018
Synthetic Depth-of-Field with a Single-Camera Mobile Phone
Synthetic Depth-of-Field with a Single-Camera Mobile Phone
Neal Wadhwa
Rahul Garg
David E. Jacobs
Bryan E. Feldman
Nori Kanazawa
Robert E. Carroll
Yair Movshovitz-Attias
Jonathan T. Barron
Yael Pritch
M. Levoy
3DHMDE
245
179
0
11 Jun 2018
Retinal Optic Disc Segmentation using Conditional Generative Adversarial
  Network
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network
V. Singh
Hatem A. Rashwan
Farhan Akram
Nidhi Pandey
Md. Mostafa Kamal Sarker
Adel Saleh
Saddam Abdulwahab
Najlaa Maaroof
S. Romaní
D. Puig
GANMedIm
51
30
0
11 Jun 2018
Massively Parallel Video Networks
Massively Parallel Video Networks
João Carreira
Viorica Patraucean
L. Mazaré
Andrew Zisserman
Simon Osindero
73
42
0
11 Jun 2018
DOOBNet: Deep Object Occlusion Boundary Detection from an Image
DOOBNet: Deep Object Occlusion Boundary Detection from an Image
Guoxia Wang
Xiaohui Liang
Frederick W. B. Li
67
31
0
11 Jun 2018
Free-Form Image Inpainting with Gated Convolution
Free-Form Image Inpainting with Gated Convolution
Jiahui Yu
Zhe Lin
Jimei Yang
Xiaohui Shen
Xin Lu
Thomas Huang
DRL
115
1,724
0
10 Jun 2018
IVUS-Net: An Intravascular Ultrasound Segmentation Network
IVUS-Net: An Intravascular Ultrasound Segmentation Network
Ji Yang
Lin Tong
M. Faraji
A. Basu
29
68
0
10 Jun 2018
Accurate Spectral Super-resolution from Single RGB Image Using
  Multi-scale CNN
Accurate Spectral Super-resolution from Single RGB Image Using Multi-scale CNN
Yiqi Yan
Lei Zhang
Jun Yu Li
Wei Wei
Yanning Zhang
SupR
89
72
0
10 Jun 2018
Cell Detection with Star-convex Polygons
Cell Detection with Star-convex Polygons
Uwe Schmidt
Martin Weigert
Coleman Broaddus
E. Myers
133
1,120
0
09 Jun 2018
Feature Pyramid Network for Multi-Class Land Segmentation
Feature Pyramid Network for Multi-Class Land Segmentation
Selim S. Seferbekov
V. Iglovikov
A. Buslaev
Alexey A. Shvets
SSeg
149
145
0
09 Jun 2018
Robust Semantic Segmentation with Ladder-DenseNet Models
Robust Semantic Segmentation with Ladder-DenseNet Models
Ivan Kreso
Marin Orsic
Petra Bevandić
Sinisa Segvic
SSeg
63
12
0
09 Jun 2018
Fully Convolutional Networks with Sequential Information for Robust Crop
  and Weed Detection in Precision Farming
Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming
Philipp Lottes
Jens Behley
Andres Milioto
C. Stachniss
68
205
0
09 Jun 2018
PatchFCN for Intracranial Hemorrhage Detection
PatchFCN for Intracranial Hemorrhage Detection
Weicheng Kuo
Christian Häne
E. Yuh
P. Mukherjee
Jitendra Malik
37
17
0
08 Jun 2018
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source
  Separation
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
Daniel Stoller
Sebastian Ewert
S. Dixon
AI4TS
161
598
0
08 Jun 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative
  Adversarial Nets
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
Yunchen Pu
Shuyang Dai
Zhe Gan
Weiyao Wang
Guoyin Wang
Yizhe Zhang
Ricardo Henao
Lawrence Carin
GANOOD
88
41
0
08 Jun 2018
Color Sails: Discrete-Continuous Palettes for Deep Color Exploration
Color Sails: Discrete-Continuous Palettes for Deep Color Exploration
Maria Shugrina
Amlan Kar
Karan Singh
Sanja Fidler
23
6
0
07 Jun 2018
On the Effect of Inter-observer Variability for a Reliable Estimation of
  Uncertainty of Medical Image Segmentation
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation
Alain Jungo
Raphael Meier
E. Ermiş
Marcela Blatti-Moreno
Evelyn Herrmann
Roland Wiest
M. Reyes
UQCV
73
98
0
07 Jun 2018
Quantitative Phase Imaging and Artificial Intelligence: A Review
Quantitative Phase Imaging and Artificial Intelligence: A Review
YoungJu Jo
Hyungjoon Cho
Sang Yun Lee
Gunho Choi
Geon Kim
Hyun-Seok Min
Yongkeun Park
100
155
0
06 Jun 2018
Variational Autoencoder with Arbitrary Conditioning
Variational Autoencoder with Arbitrary Conditioning
Oleg Ivanov
Michael Figurnov
Dmitry Vetrov
BDLDRL
85
147
0
06 Jun 2018
Adaptive feature recombination and recalibration for semantic
  segmentation: application to brain tumor segmentation in MRI
Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI
Sérgio Pereira
Victor Alves
Carlos Alberto Silva
92
46
0
06 Jun 2018
Deep Vessel Segmentation By Learning Graphical Connectivity
Deep Vessel Segmentation By Learning Graphical Connectivity
Seung Yeon Shin
Soochahn Lee
I. Yun
Kyoung Mu Lee
74
210
0
06 Jun 2018
A multi-scale pyramid of 3D fully convolutional networks for abdominal
  multi-organ segmentation
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation
H. Roth
Chen Shen
H. Oda
T. Sugino
M. Oda
Y. Hayashi
K. Misawa
K. Mori
SSeg
79
83
0
06 Jun 2018
Deep supervision with additional labels for retinal vessel segmentation
  task
Deep supervision with additional labels for retinal vessel segmentation task
Yishuo Zhang
Albert C. S. Chung
84
137
0
06 Jun 2018
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent
  Hourglass Networks
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks
Christian Payer
Darko Štern
Thomas Neff
Horst Bischof
M. Urschler
87
83
0
06 Jun 2018
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance
  Segmentation in Colon Histology Images
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
S. Graham
Hao Chen
Jevgenij Gamper
Qi Dou
Pheng-Ann Heng
David R. J. Snead
Yee Wah Tsang
Nasir M. Rajpoot
MedIm
91
307
0
05 Jun 2018
Y-Net: A deep Convolutional Neural Network for Polyp Detection
Y-Net: A deep Convolutional Neural Network for Polyp Detection
A. Mohammed
Sule YAYILGAN YILDIRIM
I. Farup
Marius Pedersen
Ø. Hovde
MedIm
86
63
0
05 Jun 2018
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point
  Clouds
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
Pedro Hermosilla
Tobias Ritschel
Pere-Pau Vázquez
À. Vinacua
Timo Ropinski
3DPC
143
260
0
05 Jun 2018
CFCM: Segmentation via Coarse to Fine Context Memory
CFCM: Segmentation via Coarse to Fine Context Memory
Fausto Milletari
Nicola Rieke
Maximilian Baust
M. Esposito
Nassir Navab
82
48
0
04 Jun 2018
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast
  Biopsy Images
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
Sachin Mehta
E. Mercan
Jamen Bartlett
D. Weaver
J. Elmore
Linda G. Shapiro
81
196
0
04 Jun 2018
Synthetic data generation for end-to-end thermal infrared tracking
Synthetic data generation for end-to-end thermal infrared tracking
Lichao Zhang
Abel Gonzalez-Garcia
Joost van de Weijer
Martin Danelljan
Fahad Shahbaz Khan
100
152
0
04 Jun 2018
TernausNetV2: Fully Convolutional Network for Instance Segmentation
TernausNetV2: Fully Convolutional Network for Instance Segmentation
V. Iglovikov
Selim S. Seferbekov
A. Buslaev
Alexey A. Shvets
SSeg
102
157
0
03 Jun 2018
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain
  Adaptation in Chest X-ray Segmentation
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation
Cheng Chen
Qi Dou
Hao Chen
Pheng-Ann Heng
OODGANMedIm
73
161
0
02 Jun 2018
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes
  Only Annotation
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation
Ling Yang
Yizhe Zhang
Zhuo Zhao
Hao Zheng
Peixian Liang
M. Ying
A. Ahuja
Benlin Liu
58
31
0
02 Jun 2018
Learn the new, keep the old: Extending pretrained models with new
  anatomy and images
Learn the new, keep the old: Extending pretrained models with new anatomy and images
Firat Özdemir
Philipp Fürnstahl
Orçun Göksel
CLL
64
48
0
01 Jun 2018
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual
  Convolutional Neural Network
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network
Qiangqiang Yuan
Qiang Zhang
Jie Li
Huanfeng Shen
Liangpei Zhang
135
385
0
01 Jun 2018
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks
  (ST-CNN)
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)
Yu Zhao
Xiang Li
Wei Zhang
Shijie Zhao
Milad Makkie
Mo Zhang
Quanzheng Li
Tianming Liu
68
51
0
31 May 2018
Fully Automated Organ Segmentation in Male Pelvic CT Images
Fully Automated Organ Segmentation in Male Pelvic CT Images
Anjali Balagopal
S. Kazemifar
D. Nguyen
Mu-Han Lin
R. Hannan
A. Owrangi
Steve B. Jiang
60
121
0
31 May 2018
Tiling and Stitching Segmentation Output for Remote Sensing: Basic
  Challenges and Recommendations
Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations
Bohao Huang
Daniel Reichman
L. Collins
Kyle Bradbury
Jordan M. Malof
124
45
0
30 May 2018
A Robust and Effective Approach Towards Accurate Metastasis Detection
  and pN-stage Classification in Breast Cancer
A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer
Byungjae Lee
K. Paeng
65
55
0
30 May 2018
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion
  Tensor Cardiac MRI
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI
Jo Schlemper
Guang Yang
Pedro F. Ferreira
Andrew D. Scott
L. McGill
...
M. Roehl
J. Keegan
D. Pennell
D. Firmin
Daniel Rueckert
MedImDiffM
64
54
0
30 May 2018
Propagating Confidences through CNNs for Sparse Data Regression
Propagating Confidences through CNNs for Sparse Data Regression
Abdelrahman Eldesokey
Michael Felsberg
Fahad Shahbaz Khan
3DV
75
115
0
30 May 2018
RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules
  without Candidate Selection
RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection
Tian Lan
Yuanyuan Li
Jonah Kimani Murugi
Yi Ding
Zhiguang Qin
29
21
0
30 May 2018
Random mesh projectors for inverse problems
Random mesh projectors for inverse problems
Sidharth Gupta
K. Kothari
Maarten V. de Hoop
Ivan Dokmanić
75
16
0
29 May 2018
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