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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 / 7,847 papers shown
Title
Deep Robust Single Image Depth Estimation Neural Network Using Scene
  Understanding
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding
Haoyu Ren
Mostafa El-Khamy
Jungwon Lee
MDE
17
33
0
07 Jun 2019
Seeing Behind Things: Extending Semantic Segmentation to Occluded
  Regions
Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions
Pulak Purkait
Christopher Zach
Ian Reid
SSeg
16
29
0
07 Jun 2019
V-NAS: Neural Architecture Search for Volumetric Medical Image
  Segmentation
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
Zhuotun Zhu
Chenxi Liu
Dong Yang
Alan Yuille
Daguang Xu
21
104
0
06 Jun 2019
Anatomical Priors for Image Segmentation via Post-Processing with
  Denoising Autoencoders
Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders
Agostina J. Larrazabal
Cesar E. Martínez
Enzo Ferrante
11
44
0
05 Jun 2019
Prediction of Soil Moisture Content Based On Satellite Data and
  Sequence-to-Sequence Networks
Prediction of Soil Moisture Content Based On Satellite Data and Sequence-to-Sequence Networks
N. Efremova
Dmitry Zausaev
Gleb Antipov
11
16
0
05 Jun 2019
Semi-supervised semantic segmentation needs strong, varied perturbations
Semi-supervised semantic segmentation needs strong, varied perturbations
Geoff French
S. Laine
Timo Aila
Michal Mackiewicz
G. Finlayson
18
29
0
05 Jun 2019
Combining crowd-sourcing and deep learning to explore the meso-scale
  organization of shallow convection
Combining crowd-sourcing and deep learning to explore the meso-scale organization of shallow convection
S. Rasp
H. Schulz
S. Bony
B. Stevens
14
54
0
05 Jun 2019
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI
  Segmentation
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
Pierrick Coupé
Boris Mansencal
Michael Clement
Rémi Giraud
B. D. D. Senneville
T. Thong
Vincent Lepetit
J. V. Manjón
9
17
0
05 Jun 2019
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical
  Imaging
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging
F. Gao
H. Yoon
Teresa Wu
Xianghua Chu
6
84
0
05 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural
  Scene Representations
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann
Michael Zollhoefer
Gordon Wetzstein
3DPC
3DV
45
1,264
0
04 Jun 2019
Disentangling neural mechanisms for perceptual grouping
Disentangling neural mechanisms for perceptual grouping
Junkyung Kim
Drew Linsley
Kalpit C. Thakkar
Thomas Serre
OCL
13
54
0
04 Jun 2019
End-to-End Learning of Geometric Deformations of Feature Maps for
  Virtual Try-On
End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On
Thibaut Issenhuth
Jérémie Mary
Clément Calauzènes
3DH
25
23
0
04 Jun 2019
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Alexander Krull
Tomáš Vičar
Florian Jug
DiffM
17
165
0
03 Jun 2019
Time Series Anomaly Detection Using Convolutional Neural Networks and
  Transfer Learning
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Tailai Wen
Roy Keyes
AI4TS
31
125
0
31 May 2019
Point Clouds Learning with Attention-based Graph Convolution Networks
Point Clouds Learning with Attention-based Graph Convolution Networks
Zhuyang Xie
Junzhou Chen
B. Peng
3DPC
11
53
0
31 May 2019
Prostate Cancer Detection using Deep Convolutional Neural Networks
Prostate Cancer Detection using Deep Convolutional Neural Networks
Sunghwan Yoo
Isha Gujrathi
M. Haider
Farzad Khalvati
MedIm
11
184
0
30 May 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
Simon A. A. Kohl
Bernardino Romera-Paredes
Klaus H. Maier-Hein
Danilo Jimenez Rezende
S. M. Ali Eslami
Pushmeet Kohli
Andrew Zisserman
Olaf Ronneberger
BDL
11
88
0
30 May 2019
Flat2Layout: Flat Representation for Estimating Layout of General Room
  Types
Flat2Layout: Flat Representation for Estimating Layout of General Room Types
Chi-Wei Hsiao
Cheng Sun
Min Sun
Hwann-Tzong Chen
3DV
11
14
0
29 May 2019
Deep Dilated Convolutional Nets for the Automatic Segmentation of
  Retinal Vessels
Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels
Ali Hatamizadeh
H. Hosseini
Zhengyuan Liu
S. Schwartz
Demetri Terzopoulos
MedIm
4
25
0
28 May 2019
PHT-bot: Deep-Learning based system for automatic risk stratification of
  COPD patients based upon signs of Pulmonary Hypertension
PHT-bot: Deep-Learning based system for automatic risk stratification of COPD patients based upon signs of Pulmonary Hypertension
David Chettrit
Orna Bregman-Amitai
Itamar Tamir
A. Bar
E. Elnekave
8
9
0
28 May 2019
Object Discovery with a Copy-Pasting GAN
Object Discovery with a Copy-Pasting GAN
Relja Arandjelović
Andrew Zisserman
11
57
0
27 May 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation
  from Video
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
Miguel Jaques
Michael G. Burke
Timothy M. Hospedales
VGen
PINN
18
44
0
27 May 2019
A multi-path 2.5 dimensional convolutional neural network system for
  segmenting stroke lesions in brain MRI images
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
Yunzhe Xue
F. Farhat
Olga Boukrina
A. Barrett
J. Binder
Usman Roshan
William W. Graves
MedIm
13
64
0
26 May 2019
Workflow Design Analysis for High Resolution Satellite Image Analysis
Workflow Design Analysis for High Resolution Satellite Image Analysis
Ioannis Paraskevakos
Matteo Turilli
B. Gonçalves
H. Lynch
S. Jha
10
4
0
23 May 2019
Learning to Confuse: Generating Training Time Adversarial Data with
  Auto-Encoder
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder
Ji Feng
Qi-Zhi Cai
Zhi-Hua Zhou
AAML
11
104
0
22 May 2019
Toward Learning a Unified Many-to-Many Mapping for Diverse Image
  Translation
Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation
Wenju Xu
Shawn Keshmiri
Guanghui Wang
GAN
25
53
0
21 May 2019
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point
  cloud
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud
P. Biasutti
Aurélie Bugeau
Jean-François Aujol
Mathieu Brédif
3DPC
16
16
0
21 May 2019
Task Decomposition and Synchronization for Semantic Biomedical Image
  Segmentation
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation
Xuhua Ren
Lichi Zhang
Sahar Ahmad
Dong Nie
Fan Yang
L. Xiang
Qian Wang
D. Shen
17
26
0
21 May 2019
RASNet: Segmentation for Tracking Surgical Instruments in Surgical
  Videos Using Refined Attention Segmentation Network
RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network
Zhen-Liang Ni
Guibin Bian
Xiaoliang Xie
Z. Hou
Xiao-Hu Zhou
Yan-Jie Zhou
24
68
0
21 May 2019
U-Net Based Multi-instance Video Object Segmentation
U-Net Based Multi-instance Video Object Segmentation
Heguang Liu
Jing Jiang
VOS
SSeg
20
5
0
19 May 2019
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Shehroz S. Khan
Jacob Nogas
Alex Mihailidis
14
22
0
19 May 2019
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT
Sulaiman Vesal
Nishant Ravikumar
Andreas K. Maier
17
44
0
19 May 2019
Texture Fields: Learning Texture Representations in Function Space
Texture Fields: Learning Texture Representations in Function Space
Michael Oechsle
L. Mescheder
Michael Niemeyer
Thilo Strauss
Andreas Geiger
3DH
3DV
11
296
0
17 May 2019
How is Gaze Influenced by Image Transformations? Dataset and Model
How is Gaze Influenced by Image Transformations? Dataset and Model
Zhaohui Che
Ali Borji
Guangtao Zhai
Xiongkuo Min
G. Guo
P. Le Callet
11
76
0
16 May 2019
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma,
  glaucoma suspect, and normal eyes
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes
Tae Joon Jun
Y. Eom
Dohyeun Kim
Cherry Kim
Ji-Hye Park
Hoang Minh Nguyen
Daeyoung Kim
MedIm
9
28
0
16 May 2019
Learning-based Single-step Quantitative Susceptibility Mapping
  Reconstruction Without Brain Extraction
Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction
Hongjiang Wei
Steven Cao
Yuyao Zhang
Xiaojun Guan
Fuhua Yan
K. Yeom
Chunlei Liu
17
50
0
15 May 2019
A Context-and-Spatial Aware Network for Multi-Person Pose Estimation
A Context-and-Spatial Aware Network for Multi-Person Pose Estimation
Dongdong Yu
Kai Su
Xin Geng
Changhu Wang
3DH
3DPC
10
9
0
14 May 2019
AMZ Driverless: The Full Autonomous Racing System
AMZ Driverless: The Full Autonomous Racing System
Juraj Kabzan
M. I. Valls
Victor Reijgwart
Hubertus Franciscus Cornelis Hendrikx
Claas Ehmke
...
Abel Gawel
Mark Pfeiffer
Alexander Liniger
John Lygeros
Roland Siegwart
27
138
0
13 May 2019
Block Coordinate Regularization by Denoising
Block Coordinate Regularization by Denoising
Yu Sun
Jiaming Liu
Ulugbek S. Kamilov
28
82
0
13 May 2019
Graph U-Nets
Graph U-Nets
Hongyang Gao
Shuiwang Ji
AI4CE
SSL
SSeg
GNN
20
1,062
0
11 May 2019
Semantic Segmentation of Seismic Images
Semantic Segmentation of Seismic Images
Daniel Salles Civitarese
Daniela Szwarcman
E. V. Brazil
Bianca Zadrozny
11
16
0
10 May 2019
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast
  using Collaborative GAN
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN
Dongwook Lee
Won-Jin Moon
J. C. Ye
GAN
MedIm
22
8
0
10 May 2019
Multi-scale Aggregation R-CNN for 2D Multi-person Pose Estimation
Multi-scale Aggregation R-CNN for 2D Multi-person Pose Estimation
Gyeongsik Moon
Ju Yong Chang
Kyoung Mu Lee
3DH
21
9
0
10 May 2019
Joint Segmentation and Path Classification of Curvilinear Structures
Joint Segmentation and Path Classification of Curvilinear Structures
Agata Mosinska
Mateusz Koziñski
Pascal Fua
19
28
0
09 May 2019
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss
  function
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function
Karsten Roth
Tomasz K. Konopczynski
Jurgen Hesser
MedIm
23
9
0
09 May 2019
PPGNet: Learning Point-Pair Graph for Line Segment Detection
PPGNet: Learning Point-Pair Graph for Line Segment Detection
Ziheng Zhang
Zhengxin Li
N. Bi
Jia Zheng
Jinlei Wang
Kun Huang
Weixin Luo
Yanyu Xu
Shenghua Gao
GNN
10
78
0
09 May 2019
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative
  Adversarial Networks with Increased Receptive Field
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field
Yicheng Chen
A. Jakary
Sivakami Avadiappan
Christopher P. Hess
J. Lupo
MedIm
13
60
0
08 May 2019
Automatic Video Colorization using 3D Conditional Generative Adversarial
  Networks
Automatic Video Colorization using 3D Conditional Generative Adversarial Networks
Panagiotis Kouzouglidis
Giorgos Sfikas
Christophoros Nikou
GAN
11
17
0
08 May 2019
Frame-Recurrent Video Inpainting by Robust Optical Flow Inference
Frame-Recurrent Video Inpainting by Robust Optical Flow Inference
Yifan Ding
Chuan Wang
Haibin Huang
Jiaming Liu
Jue Wang
Liqiang Wang
12
12
0
08 May 2019
A Deep Framework for Bone Age Assessment based on Finger Joint Localization
Xiaoman Zhang
Ziyuan Zhao
Cen Chen
Songyou Peng
Min-Ying Wu
Zhongyao Cheng
Sin Gee Teo
Le Zhang
Zeng Zeng
14
1
0
07 May 2019
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