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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 / 13,117 papers shown
Title
u-net CNN based fourier ptychography
u-net CNN based fourier ptychography
Yican Chen
Zhi Luo
Xia Wu
Huidong Yang
Bo Huang
3DV
14
1
0
16 Mar 2020
G-LBM:Generative Low-dimensional Background Model Estimation from Video
  Sequences
G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences
B. Rezaei
Amirreza Farnoosh
Sarah Ostadabbas
112
10
0
16 Mar 2020
clDice -- A Novel Topology-Preserving Loss Function for Tubular
  Structure Segmentation
clDice -- A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
Suprosanna Shit
Johannes C. Paetzold
Anjany Sekuboyina
Ivan Ezhov
Alexander Unger
A. Zhylka
J. Pluim
Ulrich Bauer
Bjoern Menze
178
305
0
16 Mar 2020
Stochastic Frequency Masking to Improve Super-Resolution and Denoising
  Networks
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
Majed El Helou
Ruofan Zhou
Sabine Süsstrunk
109
45
0
16 Mar 2020
Synthesizing human-like sketches from natural images using a conditional
  convolutional decoder
Synthesizing human-like sketches from natural images using a conditional convolutional decoder
Moritz Kampelmühler
A. Pinz
100
17
0
16 Mar 2020
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence
  for One-shot Medical Image Segmentation
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation
Shuxin Wang
Shilei Cao
Dong Wei
Renzhen Wang
Kai Ma
Liansheng Wang
Deyu Meng
Yefeng Zheng
139
55
0
16 Mar 2020
Self-Supervised Discovering of Interpretable Features for Reinforcement
  Learning
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning
Wenjie Shi
Gao Huang
Shiji Song
Zhuoyuan Wang
Tingyu Lin
Cheng Wu
SSL
88
18
0
16 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
Jan van Gemert
339
237
0
16 Mar 2020
Closed-loop Matters: Dual Regression Networks for Single Image
  Super-Resolution
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Yong Guo
Jian Chen
Jingdong Wang
Qi Chen
Jingyun Liang
Zeshuai Deng
Yanwu Xu
Mingkui Tan
SupR
111
282
0
16 Mar 2020
Improving data-driven global weather prediction using deep convolutional
  neural networks on a cubed sphere
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere
Jonathan A. Weyn
Dale Durran
R. Caruana
AI4Cl
71
266
0
15 Mar 2020
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient
  Hybrid Neural Networks
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Chankyu Lee
Adarsh Kosta
A. Z. Zhu
Kenneth Chaney
Kostas Daniilidis
Kaushik Roy
162
168
0
14 Mar 2020
Certified Defenses for Adversarial Patches
Certified Defenses for Adversarial Patches
Ping Yeh-Chiang
Renkun Ni
Ahmed Abdelkader
Chen Zhu
Christoph Studer
Tom Goldstein
AAML
67
171
0
14 Mar 2020
Rapid Whole Slide Imaging via Learning-based Two-shot Virtual
  Autofocusing
Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing
Qiang Li
Xianming Liu
Kyong Chol Han
Cheng Guo
Xiangyang Ji
Xiaolin Wu
22
2
0
14 Mar 2020
OccuSeg: Occupancy-aware 3D Instance Segmentation
OccuSeg: Occupancy-aware 3D Instance Segmentation
Lei Han
Tian Zheng
Lan Xu
Lu Fang
3DPC
266
261
0
14 Mar 2020
Recurrent convolutional neural networks for mandible segmentation from
  computed tomography
Recurrent convolutional neural networks for mandible segmentation from computed tomography
Bingjiang Qiu
Jiapan Guo
J. Kraeima
H. Glas
R. Borra
M. Witjes
P. V. van Ooijen
MedIm
45
10
0
13 Mar 2020
Mass Estimation of Galaxy Clusters with Deep Learning I:
  Sunyaev-Zel'dovich Effect
Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zel'dovich Effect
N. Gupta
C. Reichardt
74
14
0
13 Mar 2020
Dual Temporal Memory Network for Efficient Video Object Segmentation
Dual Temporal Memory Network for Efficient Video Object Segmentation
Kaihua Zhang
Long Wang
Dong Liu
Bo Liu
Qingshan Liu
Zhu Li
VOS
60
15
0
13 Mar 2020
Semantic Segmentation of highly class imbalanced fully labelled 3D
  volumetric biomedical images and unsupervised Domain Adaptation of the
  pre-trained Segmentation Network to segment another fully unlabelled
  Biomedical 3D Image stack
Semantic Segmentation of highly class imbalanced fully labelled 3D volumetric biomedical images and unsupervised Domain Adaptation of the pre-trained Segmentation Network to segment another fully unlabelled Biomedical 3D Image stack
Shreya Roy
Anirban Chakraborty
16
1
0
13 Mar 2020
Coronary Artery Segmentation from Intravascular Optical Coherence
  Tomography Using Deep Capsules
Coronary Artery Segmentation from Intravascular Optical Coherence Tomography Using Deep Capsules
Arjun Balaji
L. Kelsey
K. Majeed
C. Schultz
B. Doyle
48
10
0
13 Mar 2020
LaserFlow: Efficient and Probabilistic Object Detection and Motion
  Forecasting
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting
Gregory P. Meyer
Jake Charland
Shreyash Pandey
A. Laddha
Shivam Gautam
Carlos Vallespi-Gonzalez
Carl K. Wellington
3DPC
89
41
0
12 Mar 2020
Towards Photo-Realistic Virtual Try-On by Adaptively
  Generating$\leftrightarrow$Preserving Image Content
Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔\leftrightarrow↔Preserving Image Content
Han Yang
Ruimao Zhang
Xiaobao Guo
Wei Liu
W. Zuo
Ping Luo
93
266
0
12 Mar 2020
Learning to Segment 3D Point Clouds in 2D Image Space
Learning to Segment 3D Point Clouds in 2D Image Space
Yecheng Lyu
Xinming Huang
Ziming Zhang
3DPC
101
54
0
12 Mar 2020
Encoder-Decoder Based Convolutional Neural Networks with
  Multi-Scale-Aware Modules for Crowd Counting
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
Pongpisit Thanasutives
Ken-ichi Fukui
M. Numao
B. Kijsirikul
151
65
0
12 Mar 2020
Deep Vectorization of Technical Drawings
Deep Vectorization of Technical Drawings
Vage Egiazarian
Oleg Voynov
Alexey Artemov
Denis Volkhonskiy
Aleksandr Safin
Maria Taktasheva
Denis Zorin
Evgeny Burnaev
3DPC
86
61
0
11 Mar 2020
BP-DIP: A Backprojection based Deep Image Prior
BP-DIP: A Backprojection based Deep Image Prior
Jenny Zukerman
Tom Tirer
Raja Giryes
SupR
83
19
0
11 Mar 2020
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via
  Height-driven Attention Networks
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks
Sungha Choi
J. Kim
Jaegul Choo
SSeg
197
156
0
11 Mar 2020
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic:
  Initial Results for Automated Detection & Patient Monitoring using Deep
  Learning CT Image Analysis
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
Ophir Gozes
Maayan Frid-Adar
H. Greenspan
P. Browning
Huangqi Zhang
W.-B. Ji
Adam Bernheim
E. Siegel
OOD
114
800
0
10 Mar 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned
  Reconstruction Methods
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
Daniel Otero Baguer
Johannes Leuschner
Maximilian Schmidt
119
190
0
10 Mar 2020
LC-GAN: Image-to-image Translation Based on Generative Adversarial
  Network for Endoscopic Images
LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images
Shan Lin
Fangbo Qin
Yangming Li
Randall Bly
K. Moe
Blake Hannaford
GANMedIm
58
36
0
10 Mar 2020
Tidying Deep Saliency Prediction Architectures
Tidying Deep Saliency Prediction Architectures
N. Reddy
Samyak Jain
P. Yarlagadda
Vineet Gandhi
55
48
0
10 Mar 2020
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time
  Instrument Detection and Segmentation in Robot-assisted Surgery
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery
Mobarakol Islam
V. Vibashan
Hongliang Ren
78
28
0
10 Mar 2020
Multi-level Context Gating of Embedded Collective Knowledge for Medical
  Image Segmentation
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
Maryam Asadi-Aghbolaghi
Reza Azad
M. Fathy
Sergio Escalera
SSeg
130
61
0
10 Mar 2020
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DVAI4CE
367
991
0
10 Mar 2020
Deep learning approach for breast cancer diagnosis
Deep learning approach for breast cancer diagnosis
E. Rashed
S. A. E. Seoud
AI4CE
75
26
0
10 Mar 2020
Multi-Scale Superpatch Matching using Dual Superpixel Descriptors
Multi-Scale Superpatch Matching using Dual Superpixel Descriptors
Rémi Giraud
Merlin Boyer
Michael Clement
SupR
44
2
0
09 Mar 2020
Automatic segmentation of spinal multiple sclerosis lesions: How to
  generalize across MRI contrasts?
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?
Olivier Vincent
C. Gros
Joseph Paul Cohen
Julien Cohen-Adad
51
5
0
09 Mar 2020
Low-viewpoint forest depth dataset for sparse rover swarms
Low-viewpoint forest depth dataset for sparse rover swarms
Chaoyue Niu
Danesh Tarapore
Klaus-Peter Zauner
88
9
0
09 Mar 2020
On the Texture Bias for Few-Shot CNN Segmentation
On the Texture Bias for Few-Shot CNN Segmentation
Reza Azad
A. Fayjie
C. Kauffmann
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
SSeg
72
70
0
09 Mar 2020
Dense Dilated Convolutions Merging Network for Land Cover Classification
Dense Dilated Convolutions Merging Network for Land Cover Classification
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
134
117
0
09 Mar 2020
MCMC Guided CNN Training and Segmentation for Pancreas Extraction
MCMC Guided CNN Training and Segmentation for Pancreas Extraction
Jinchan He
Xiaxia Yu
Chudong Cai
Yi Gao
18
8
0
09 Mar 2020
Improving Training on Noisy Stuctured Labels
Improving Training on Noisy Stuctured Labels
Abubakar Abid
James Zou
NoLa
19
1
0
08 Mar 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OODDiffM
261
555
0
08 Mar 2020
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the
  Wild
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild
Haibo Jin
Tianran Ouyang
Ling Shao
CVBM
166
129
0
08 Mar 2020
DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing
DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing
H. Yenala
Harit Pandya
Ayush Gaud
Shreyas P. J. Reddy
S. Shankar
Madhava Krishna
18
21
0
08 Mar 2020
Perceptual Image Super-Resolution with Progressive Adversarial Network
Perceptual Image Super-Resolution with Progressive Adversarial Network
Lone Wong
Deli Zhao
Shaohua Wan
Bo Zhang
GANSupR
60
0
0
08 Mar 2020
A Multi-scale CNN-CRF Framework for Environmental Microorganism Image
  Segmentation
A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation
Jinghua Zhang
Chen Li
Frank Kulwa
Xin Zhao
Changhao Sun
Zihan Li
Tao Jiang
Hong Li
Shouliang Qi
115
23
0
08 Mar 2020
DASNet: Dual attentive fully convolutional siamese networks for change
  detection of high resolution satellite images
DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
Jie Chen
Ziyang Yuan
Jian Peng
Li Chen
Haozhe Huang
Jiawei Zhu
Yu Liu
Haifeng Li
136
489
0
07 Mar 2020
Distilling portable Generative Adversarial Networks for Image
  Translation
Distilling portable Generative Adversarial Networks for Image Translation
Hanting Chen
Yunhe Wang
Han Shu
Changyuan Wen
Chunjing Xu
Boxin Shi
Chao Xu
Chang Xu
160
84
0
07 Mar 2020
A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional
  Social Pooling for Vehicle Trajectory Prediction
A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional Social Pooling for Vehicle Trajectory Prediction
Huimin Zhang
Yafei Wang
Junjia Liu
Chengwei Li
Taiyuan Ma
Chengliang Yin
52
12
0
07 Mar 2020
When Deep Learning Meets Data Alignment: A Review on Deep Registration
  Networks (DRNs)
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)
Victor Villena-Martinez
Sergiu Oprea
Marcelo Saval-Calvo
J. Azorín-López
Andrés Fuster-Guilló
Robert B. Fisher
109
32
0
06 Mar 2020
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