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Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance
  Imaging with Deep Neural Networks

Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks

23 December 2019
Yuhua Chen
Dan Ruan
Jiayu Xiao
Lixia Wang
Bin Sun
R. Saouaf
Wensha Yang
Debiao Li
Z. Fan
ArXivPDFHTML

Papers citing "Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks"

21 / 21 papers shown
Title
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models
Emmanuelle Bourigault
Abdullah Hamdi
Amir Jamaludin
MedIm
79
2
0
30 Apr 2024
Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network
  Trained with Limited Datasets
Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets
H. Haque
M. Hashimoto
N. Uetake
Masahiro Jinzaki
17
2
0
21 Nov 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
145
762
0
27 Aug 2019
Abdominal multi-organ segmentation with organ-attention networks and
  statistical fusion
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Yan Wang
Yuyin Zhou
Wei Shen
Seyoun Park
Elliot K. Fishman
Alan Yuille
39
216
0
23 Apr 2018
Revisiting Small Batch Training for Deep Neural Networks
Revisiting Small Batch Training for Deep Neural Networks
Dominic Masters
Carlo Luschi
ODL
69
665
0
20 Apr 2018
Efficient and Accurate MRI Super-Resolution using a Generative
  Adversarial Network and 3D Multi-Level Densely Connected Network
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network
Yuhua Chen
Feng Shi
A. Christodoulou
Zhengwei Zhou
Yibin Xie
Debiao Li
MedIm
62
305
0
04 Mar 2018
Deep learning in radiology: an overview of the concepts and a survey of
  the state of the art
Deep learning in radiology: an overview of the concepts and a survey of the state of the art
Maciej A. Mazurowski
Mateusz Buda
Ashirbani Saha
Mustafa R. Bashir
MedIm
AI4CE
47
437
0
10 Feb 2018
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural
  Networks
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks
Yuhua Chen
Yibin Xie
Zhengwei Zhou
Feng Shi
A. Christodoulou
Debiao Li
SupR
59
231
0
08 Jan 2018
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent
  Neural Contextual Learning and Direct Loss Function
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function
Jinzheng Cai
Le Lu
Yuanpu Xie
Fuyong Xing
Ling Yang
MedIm
SSeg
59
131
0
16 Jul 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
636
10,768
0
19 Feb 2017
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for
  Semantic Segmentation
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
S. Jégou
M. Drozdzal
David Vazquez
Adriana Romero
Yoshua Bengio
SSeg
172
1,580
0
28 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
758
36,781
0
25 Aug 2016
Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
169
3,706
0
27 Jul 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
148
6,523
0
21 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
GNN
AI4CE
429
18,346
0
27 May 2016
A Combined Deep-Learning and Deformable-Model Approach to Fully
  Automatic Segmentation of the Left Ventricle in Cardiac MRI
A Combined Deep-Learning and Deformable-Model Approach to Fully Automatic Segmentation of the Left Ventricle in Cardiac MRI
M. Avendi
A. Kheradvar
Hamid Jafarkhani
51
565
0
25 Dec 2015
DeepOrgan: Multi-level Deep Convolutional Networks for Automated
  Pancreas Segmentation
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
H. Roth
Le Lu
A. Farag
Hoo-Chang Shin
Jiamin Liu
E. Turkbey
Ronald M. Summers
SSeg
MedIm
70
742
0
22 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,099
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Multi-Atlas Segmentation of Biomedical Images: A Survey
Multi-Atlas Segmentation of Biomedical Images: A Survey
Juan Eugenio Iglesias
M. Sabuncu
70
671
0
10 Dec 2014
Deep Learning using Linear Support Vector Machines
Deep Learning using Linear Support Vector Machines
Yichuan Tang
95
894
0
02 Jun 2013
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