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

50 / 9,591 papers shown
Title
Unprocessing Images for Learned Raw Denoising
Unprocessing Images for Learned Raw Denoising
Tim Brooks
B. Mildenhall
Tianfan Xue
Jiawen Chen
Dillon Sharlet
Jonathan T. Barron
30
434
0
27 Nov 2018
Dense xUnit Networks
Dense xUnit Networks
I. Kligvasser
T. Michaeli
21
3
0
27 Nov 2018
Noise2Void - Learning Denoising from Single Noisy Images
Noise2Void - Learning Denoising from Single Noisy Images
Alexander Krull
T. Buchholz
Florian Jug
26
1,088
0
27 Nov 2018
GANsfer Learning: Combining labelled and unlabelled data for GAN based
  data augmentation
GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation
Christopher Bowles
R. Gunn
A. Hammers
Daniel Rueckert
GAN
MedIm
21
21
0
26 Nov 2018
An overview of deep learning in medical imaging focusing on MRI
An overview of deep learning in medical imaging focusing on MRI
A. Lundervold
A. Lundervold
OOD
17
1,608
0
25 Nov 2018
Background Subtraction with Real-time Semantic Segmentation
Background Subtraction with Real-time Semantic Segmentation
Dongdong Zeng
Xiang Chen
Ming Zhu
Michael Goesele
Arjan Kuijper
VOS
44
44
0
25 Nov 2018
Structured Pruning of Neural Networks with Budget-Aware Regularization
Structured Pruning of Neural Networks with Budget-Aware Regularization
Carl Lemaire
Andrew Achkar
Pierre-Marc Jodoin
27
92
0
23 Nov 2018
FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration
FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration
Dongyang Kuang
T. Schmah
MedIm
22
94
0
22 Nov 2018
MGANet: A Robust Model for Quality Enhancement of Compressed Video
MGANet: A Robust Model for Quality Enhancement of Compressed Video
Xiandong Meng
Xuan Deng
Shuyuan Zhu
Shuaicheng Liu
Chuan Wang
Chen Chen
B. Zeng
GAN
19
19
0
22 Nov 2018
IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using
  Generative Adversarial Network
IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network
A. Bhunia
P. Kishore
Pranay Mukherjee
P. Roy
GAN
27
18
0
22 Nov 2018
Deep Learning Based Phase Reconstruction for Speaker Separation: A
  Trigonometric Perspective
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective
Zhong-Qiu Wang
Ke Tan
DeLiang Wang
50
95
0
22 Nov 2018
Integrating Reinforcement Learning to Self Training for Pulmonary Nodule
  Segmentation in Chest X-rays
Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays
Sejin Park
Woochan Hwang
Kyu-Hwan Jung
SSL
17
1
0
21 Nov 2018
Neural Networks with Activation Networks
Neural Networks with Activation Networks
Jinhyeok Jang
Jaehong Kim
Jaeyeon Lee
Seungjoon Yang
18
2
0
21 Nov 2018
CNN based dense underwater 3D scene reconstruction by transfer learning
  using bubble database
CNN based dense underwater 3D scene reconstruction by transfer learning using bubble database
Kazuto Ichimaru
Furukawa Ryo
Hiroshi Kawasaki
19
7
0
21 Nov 2018
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias
  in Deep Image Representations
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
Tianlu Wang
Jieyu Zhao
Mark Yatskar
Kai-Wei Chang
Vicente Ordonez
FaML
31
17
0
20 Nov 2018
Double Refinement Network for Efficient Indoor Monocular Depth
  Estimation
Double Refinement Network for Efficient Indoor Monocular Depth Estimation
N. Durasov
Mikhail Romanov
Valeriya Bubnova
P. Bogomolov
Anton Konushin
MDE
3DV
30
10
0
20 Nov 2018
Pyramid Embedded Generative Adversarial Network for Automated Font
  Generation
Pyramid Embedded Generative Adversarial Network for Automated Font Generation
Donghui Sun
Qing Zhang
Jun Yang
GAN
27
28
0
20 Nov 2018
Learning to synthesize: splitting and recombining low and high spatial
  frequencies for image recovery
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery
Mo Deng
Shuai Li
George Barbastathis
SupR
27
18
0
19 Nov 2018
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for
  Resource-Constrained Environments
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments
Tim Laibacher
Tillman Weyde
Sepehr Jalali
15
35
0
19 Nov 2018
IVD-Net: Intervertebral disc localization and segmentation in MRI with a
  multi-modal UNet
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
28
111
0
19 Nov 2018
SEIGAN: Towards Compositional Image Generation by Simultaneously
  Learning to Segment, Enhance, and Inpaint
SEIGAN: Towards Compositional Image Generation by Simultaneously Learning to Segment, Enhance, and Inpaint
Pavel Ostyakov
Roman Suvorov
Elizaveta Logacheva
Oleg Khomenko
Sergey I. Nikolenko
GAN
19
23
0
19 Nov 2018
RePr: Improved Training of Convolutional Filters
RePr: Improved Training of Convolutional Filters
Aaditya (Adi) Prakash
J. Storer
D. Florêncio
Cha Zhang
VLM
CVBM
35
57
0
18 Nov 2018
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated
  Objects
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
Xue Yang
Jirui Yang
Kun Fu
Yue Zhang
Tengfei Zhang
Zhi Guo
Ming Yan
Kun Fu
ObjD
24
44
0
17 Nov 2018
Learning to Predict the Cosmological Structure Formation
Learning to Predict the Cosmological Structure Formation
Siyu He
Yin Li
Yu Feng
S. Ho
Siamak Ravanbakhsh
Wei Chen
Barnabás Póczós
20
168
0
15 Nov 2018
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN
  Features with a Feature Selector
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector
Chen Du
Chunheng Wang
Yanna Wang
Cunzhao Shi
Baihua Xiao
22
42
0
15 Nov 2018
Unsupervised domain adaptation for medical imaging segmentation with
  self-ensembling
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
C. Perone
P. Ballester
Rodrigo C. Barros
Julien Cohen-Adad
OOD
33
207
0
14 Nov 2018
Interpreting Models by Allowing to Ask
Interpreting Models by Allowing to Ask
Sungmin Kang
D. Park
Jaehyuk Chang
Jaegul Choo
15
0
0
13 Nov 2018
LookinGood: Enhancing Performance Capture with Real-time Neural
  Re-Rendering
LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering
Ricardo Martín Brualla
Rohit Pandey
Shuoran Yang
Pavel Pidlypenskyi
Jonathan Taylor
...
Dan B. Goldman
Cem Keskin
S. M. Seitz
Shahram Izadi
S. Fanello
3DH
25
60
0
12 Nov 2018
Automatic kidney segmentation in ultrasound images using subsequent
  boundary distance regression and pixelwise classification networks
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks
Shi Yin
Qinmu Peng
Hongming Li
Zhengqiang Zhang
Xinge You
S. Furth
Gregory E. Tasian
Yong-Xian Fan
19
93
0
12 Nov 2018
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for
  Limited Angle Computed Tomography
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography
T. Bubba
Gitta Kutyniok
Matti Lassas
M. März
Wojciech Samek
S. Siltanen
Vignesh Srinivasan
24
136
0
12 Nov 2018
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural
  Network for the Automatic 3D Segmentation of Lung Lesions
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions
Bo Zhou
Randolph Crawford
B. Dogdas
G. Goldmacher
Antong Chen
21
13
0
11 Nov 2018
PerformanceNet: Score-to-Audio Music Generation with Multi-Band
  Convolutional Residual Network
PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network
Bryan Wang
Yi-Hsuan Yang
22
38
0
11 Nov 2018
Automatic Brain Structures Segmentation Using Deep Residual Dilated
  U-Net
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net
Hongwei Bran Li
A. Zhygallo
Bjoern H. Menze
SSeg
14
20
0
10 Nov 2018
Scene Text Detection and Recognition: The Deep Learning Era
Scene Text Detection and Recognition: The Deep Learning Era
Shangbang Long
Xin He
Cong Yao
VLM
44
389
0
10 Nov 2018
Deep Learning Approach for Building Detection in Satellite Multispectral
  Imagery
Deep Learning Approach for Building Detection in Satellite Multispectral Imagery
Geesara Prathap
Ilya M. Afanasyev
11
50
0
10 Nov 2018
Mapping Navigation Instructions to Continuous Control Actions with
  Position-Visitation Prediction
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction
Valts Blukis
Dipendra Kumar Misra
Ross A. Knepper
Yoav Artzi
19
81
0
10 Nov 2018
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional
  Networks
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks
Yuankai Huo
Zhoubing Xu
Shunxing Bao
Camilo Bermudez
Hyeonsoo Moon
...
T. Moyo
M. Savona
A. Assad
R. Abramson
Bennett A. Landman
37
46
0
09 Nov 2018
Validating Hyperspectral Image Segmentation
Validating Hyperspectral Image Segmentation
J. Nalepa
Michal Myller
M. Kawulok
13
78
0
08 Nov 2018
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction
  Methods?
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?
Deepak Mishra
Atul Padole
AP Prathosh
Aravind Jayendran
R. Khera
Varun Srivastava
S. Chaudhury
Ge Wang
OOD
3DV
36
322
0
08 Nov 2018
An End-to-end Approach to Semantic Segmentation with 3D CNN and
  Posterior-CRF in Medical Images
An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images
Shuai Chen
Marleen de Bruijne
MedIm
20
11
0
08 Nov 2018
Explainable cardiac pathology classification on cine MRI with motion
  characterization by semi-supervised learning of apparent flow
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow
Ben Green
H. Delingette
N. Ayache
30
84
0
08 Nov 2018
ColorUNet: A convolutional classification approach to colorization
ColorUNet: A convolutional classification approach to colorization
Zhihui Zhu
Matthieu de Rochemonteix
Marc Thibault
11
6
0
07 Nov 2018
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion
  Segmentation
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation
S. Aslani
Michael Dayan
Stéphane Doncieux
Massimo Filippi
Vittorio Murino
Maria A Rocca
Diego Sona
6
139
0
07 Nov 2018
PaDNet: Pan-Density Crowd Counting
PaDNet: Pan-Density Crowd Counting
Yukun Tian
Yiming Lei
Junping Zhang
Ming Wang
25
102
0
07 Nov 2018
Deep Neural Networks for ECG-free Cardiac Phase and End-Diastolic Frame
  Detection on Coronary Angiographies
Deep Neural Networks for ECG-free Cardiac Phase and End-Diastolic Frame Detection on Coronary Angiographies
Costin Ciusdel
Phi Vu Tran
Andrei Puiu
Lucian Itu
Lucian Calmac
...
Martin Berger
Thomas Redel
Tiziano Passerini
Mehmet Gulsun
Puneet Sharma
MedIm
8
18
0
07 Nov 2018
Component-based Attention for Large-scale Trademark Retrieval
Component-based Attention for Large-scale Trademark Retrieval
Seyyedeh Atefeh Musavi
Simon Denman
Sabesan Sivapalan
M. Hashemi
Clinton Fookes
Sandra Mau
13
22
0
07 Nov 2018
Deep feature transfer between localization and segmentation tasks
Deep feature transfer between localization and segmentation tasks
Szu-Yeu Hu
Andrew Beers
Ken Chang
K. Höbel
J. Peter Campbell
...
T. Sandholm
Jennifer Dy
Michael F. Chiang
Jayashree Kalpathy-Cramer
James M. Brown
SSeg
MedIm
6
5
0
06 Nov 2018
Confidence Propagation through CNNs for Guided Sparse Depth Regression
Confidence Propagation through CNNs for Guided Sparse Depth Regression
Yi Shi
M. Felsberg
Jason H. Li
3DV
24
188
0
05 Nov 2018
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid
  Pooling and Focal Loss
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss
S. M. Abulnaga
Jonathan Rubin
29
50
0
02 Nov 2018
Multi-Task Learning for Left Atrial Segmentation on GE-MRI
Multi-Task Learning for Left Atrial Segmentation on GE-MRI
Chia-Ju Chen
Wenjia Bai
Daniel Rueckert
9
52
0
31 Oct 2018
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