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Task Decomposition and Synchronization for Semantic Biomedical Image
  Segmentation
v1v2 (latest)

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation

21 May 2019
Xuhua Ren
Lichi Zhang
Sahar Ahmad
Dong Nie
Fan Yang
L. Xiang
Qian Wang
Dinggang Shen
ArXiv (abs)PDFHTML

Papers citing "Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation"

39 / 39 papers shown
Title
2018 Robotic Scene Segmentation Challenge
2018 Robotic Scene Segmentation Challenge
M. Allan
S. Kondo
S. Bodenstedt
S. Leger
Rahim Kadkhodamohammadi
...
Sang Hyun Park
M. Azizian
Danail Stoyanov
Lena Maier-Hein
Stefanie Speidel
63
135
0
30 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
520
42,559
0
03 Dec 2019
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods
  for Glaucoma Assessment from Fundus Photographs
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
J. Orlando
Huazhu Fu
J. Barbosa-Breda
K. V. Keer
Deepti R. Bathula
...
Fei Li
Xiulan Zhang
Yanwu Xu
Xiulan Zhang
Hrvoje Bogunović
131
618
0
08 Oct 2019
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical
  Segmentation
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
Adrian Dalca
John Guttag
M. Sabuncu
MedImSSeg
111
147
0
07 Mar 2019
XNet: A convolutional neural network (CNN) implementation for medical
  X-Ray image segmentation suitable for small datasets
XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets
Joseph Aylett-Bullock
C. Cuesta-Lázaro
Arnau Quera-Bofarull
61
101
0
03 Dec 2018
Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
...
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern Menze
136
1,638
0
05 Nov 2018
3D MRI brain tumor segmentation using autoencoder regularization
3D MRI brain tumor segmentation using autoencoder regularization
Andriy Myronenko
92
1,045
0
27 Oct 2018
No New-Net
No New-Net
Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier-Hein
SSeg
94
400
0
27 Sep 2018
Aleatoric uncertainty estimation with test-time augmentation for medical
  image segmentation with convolutional neural networks
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
Guotai Wang
Wenqi Li
Michael Aertsen
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
UQCVMedImOOD
150
594
0
19 Jul 2018
ExFuse: Enhancing Feature Fusion for Semantic Segmentation
ExFuse: Enhancing Feature Fusion for Semantic Segmentation
Zhenli Zhang
Xiangyu Zhang
Chao Peng
Dazhi Cheng
Jian Sun
77
429
0
11 Apr 2018
Context Encoding for Semantic Segmentation
Context Encoding for Semantic Segmentation
Hang Zhang
Kristin J. Dana
Jianping Shi
Zhongyue Zhang
Xiaogang Wang
A. Tyagi
Amit Agrawal
SSeg
97
1,251
0
23 Mar 2018
Quantization of Fully Convolutional Networks for Accurate Biomedical
  Image Segmentation
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation
Xiaowei Xu
Q. Lu
Yu Hu
Lin Yang
X. S. Hu
Danny Chen
Yiyu Shi
MedIm
68
85
0
13 Mar 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
470
13,168
0
07 Feb 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
  Multitask Networks
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen
Vijay Badrinarayanan
Chen-Yu Lee
Andrew Rabinovich
ODL
163
1,289
0
07 Nov 2017
NiftyNet: a deep-learning platform for medical imaging
NiftyNet: a deep-learning platform for medical imaging
Eli Gibson
Wenqi Li
Carole Sudre
Lucas Fidon
D. I. Shakir
...
Marc Modat
D. Barratt
Sébastien Ourselin
M. Jorge Cardoso
Tom Vercauteren
76
549
0
11 Sep 2017
Automatic Brain Tumor Segmentation using Cascaded Anisotropic
  Convolutional Neural Networks
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
Guotai Wang
Wenqi Li
Sebastien Ourselin
Tom Vercauteren
70
482
0
01 Sep 2017
Deep Learning for Medical Image Analysis
Deep Learning for Medical Image Analysis
Mina Rezaei
Haojin Yang
Christoph Meinel
77
2,068
0
17 Aug 2017
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
605
2,235
0
25 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
232
8,481
0
17 Jun 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
151
2,830
0
15 Jun 2017
LinkNet: Exploiting Encoder Representations for Efficient Semantic
  Segmentation
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Abhishek Chaurasia
Eugenio Culurciello
SSeg
76
1,384
0
14 Jun 2017
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical
  Segmentation
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation
Kuan-Lun Tseng
Yen-Liang Lin
Winston H. Hsu
Chung-Yang Huang
MedIm
56
163
0
25 Apr 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,230
0
20 Mar 2017
Understanding the Effective Receptive Field in Deep Convolutional Neural
  Networks
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo
Yujia Li
R. Urtasun
R. Zemel
HAI
102
1,799
0
15 Jan 2017
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object
  Parsing
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
Chi Li
M. Zia
Quoc-Huy Tran
Xiang Yu
Gregory Hager
Manmohan Chandraker
3DPC3DV
64
91
0
08 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,030
0
04 Dec 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TSSSeg
261
2,851
0
20 Nov 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
229
8,706
0
15 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
265
18,259
0
02 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,886
0
20 May 2016
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian Sun
SSeg
173
1,229
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
271
8,453
0
23 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,815
0
02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,341
0
18 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
232
4,178
0
17 May 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
480
43,685
0
17 Sep 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
294
6,283
0
16 Dec 2013
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