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  4. Cited By
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

15 June 2016
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
ArXiv (abs)PDFHTML

Papers citing "V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation"

50 / 2,578 papers shown
Title
Autoencoders for Multi-Label Prostate MR Segmentation
Autoencoders for Multi-Label Prostate MR Segmentation
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Henkjan Huisman
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Contextual Hourglass Networks for Segmentation and Density Estimation
Contextual Hourglass Networks for Segmentation and Density Estimation
Daniel Oñoro-Rubio
Mathias Niepert
51
2
0
08 Jun 2018
Shape Robust Text Detection with Progressive Scale Expansion Network
Shape Robust Text Detection with Progressive Scale Expansion Network
Xiang Li
Wenhai Wang
Wenbo Hou
Ruo-Ze Liu
Tong Lu
Jian Yang
195
681
0
07 Jun 2018
Quantitative Phase Imaging and Artificial Intelligence: A Review
Quantitative Phase Imaging and Artificial Intelligence: A Review
YoungJu Jo
Hyungjoon Cho
Sang Yun Lee
Gunho Choi
Geon Kim
Hyun-Seok Min
Yongkeun Park
211
161
0
06 Jun 2018
A multi-scale pyramid of 3D fully convolutional networks for abdominal
  multi-organ segmentation
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation
H. Roth
Chen Shen
H. Oda
T. Sugino
M. Oda
Y. Hayashi
K. Misawa
K. Mori
SSeg
141
84
0
06 Jun 2018
CFCM: Segmentation via Coarse to Fine Context Memory
CFCM: Segmentation via Coarse to Fine Context Memory
Fausto Milletari
Nicola Rieke
Maximilian Baust
M. Esposito
Nassir Navab
110
50
0
04 Jun 2018
Fully Automated Organ Segmentation in Male Pelvic CT Images
Fully Automated Organ Segmentation in Male Pelvic CT Images
Anjali Balagopal
S. Kazemifar
D. Nguyen
Mu-Han Lin
R. Hannan
A. Owrangi
Steve B. Jiang
113
126
0
31 May 2018
Learning Data Augmentation for Brain Tumor Segmentation with
  Coarse-to-Fine Generative Adversarial Networks
Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks
Tony C. W. Mok
Albert C. S. Chung
GANMedIm
157
94
0
29 May 2018
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer
  Patients with a Hierarchically Densely Connected U-net Deep Learning
  Architecture
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture
D. Nguyen
X. Jia
David Sher
Mu-Han Lin
Zohaib Iqbal
Hui Liu
Steve B. Jiang
AI4CE
94
298
0
25 May 2018
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners
  and Protocols
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols
Neerav Karani
K. Chaitanya
Christian F. Baumgartner
E. Konukoglu
159
129
0
25 May 2018
Autofocus Layer for Semantic Segmentation
Autofocus Layer for Semantic Segmentation
Yao Qin
Konstantinos Kamnitsas
Siddharth Ancha
Jay Nanavati
G. Cottrell
A. Criminisi
A. Nori
SSegMedIm
198
120
0
22 May 2018
Automatic segmentation of the spinal cord and intramedullary multiple
  sclerosis lesions with convolutional neural networks
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
C. Gros
B. Leener
A. Badji
J. Maranzano
Dominique Eden
...
J. Doyon
T. Shepherd
Erik Charlson
S. Narayanan
Julien Cohen-Adad
212
246
0
16 May 2018
Attaining human-level performance with atlas location autocontext for
  anatomical landmark detection in 3D CT data
Attaining human-level performance with atlas location autocontext for anatomical landmark detection in 3D CT data
Alison Q. OÑeil
Antanas Kascenas
Josep Henry
D. Wyeth
M. Shepherd
...
L. Clunie
Carrie Sansom
Evelina Seduikyte
K. Muir
Ian Poole
123
44
0
14 May 2018
A volumetric deep Convolutional Neural Network for simulation of mock
  dark matter halo catalogues
A volumetric deep Convolutional Neural Network for simulation of mock dark matter halo catalogues
P. Berger
G. Stein
148
41
0
11 May 2018
Learning Short-Cut Connections for Object Counting
Learning Short-Cut Connections for Object Counting
Daniel Oñoro-Rubio
Mathias Niepert
Roberto J. López-Sastre
149
11
0
08 May 2018
Combo Loss: Handling Input and Output Imbalance in Multi-Organ
  Segmentation
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation
Saeid Asgari Taghanaki
Yefeng Zheng
S. Kevin Zhou
Bogdan Georgescu
Puneet Sharma
Daguang Xu
Dorin Comaniciu
Ghassan Hamarneh
168
378
0
08 May 2018
Stack-U-Net: Refinement Network for Image Segmentation on the Example of
  Optic Disc and Cup
Stack-U-Net: Refinement Network for Image Segmentation on the Example of Optic Disc and Cup
Artem Sevastopolsky
S. Drapak
Konstantin Kiselev
Blake M. Snyder
J. Keenan
Anastasia Georgievskaya
84
41
0
30 Apr 2018
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical
  Image Segmentations with Adversarial Loss
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
Qi Dou
Cheng Ouyang
Cheng Chen
Hao Chen
Pheng-Ann Heng
MedIm
161
305
0
29 Apr 2018
Joint Shape Representation and Classification for Detecting PDAC
Joint Shape Representation and Classification for Detecting PDAC
Fengze Liu
Lingxi Xie
Yingda Xia
Elliot K. Fishman
Alan Yuille
MedIm
136
18
0
27 Apr 2018
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor
  Segmentation in CT Images
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images
Qian Yu
Yinghuan Shi
Jinquan Sun
Yang Gao
Yakang Dai
Jianbing Zhu
273
112
0
27 Apr 2018
Interactive Medical Image Segmentation via Point-Based Interaction and
  Sequential Patch Learning
Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning
Jinquan Sun
Yinghuan Shi
Yang Gao
Lei Wang
Luping Zhou
Wanqi Yang
Dinggang Shen
101
8
0
27 Apr 2018
Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation
Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation
Sohil Shah
P. Ghosh
L. Davis
Tom Goldstein
SSeg
144
58
0
27 Apr 2018
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
125
230
0
23 Apr 2018
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D
  Ultrasound
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D UltrasoundInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2018
M. Degel
Nassir Navab
Shadi Albarqouni
95
42
0
20 Apr 2018
Select, Attend, and Transfer: Light, Learnable Skip Connections
Select, Attend, and Transfer: Light, Learnable Skip Connections
Saeid Asgari Taghanaki
A. Bentaieb
Anmol Sharma
S. Kevin Zhou
Yefeng Zheng
...
Puneet Sharma
Sasa Grbic
Zhoubing Xu
Dorin Comaniciu
Ghassan Hamarneh
195
22
0
14 Apr 2018
Iterative fully convolutional neural networks for automatic vertebra
  segmentation and identification
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification
Nikolas Lessmann
Bram van Ginneken
P. A. Jong
Ivana Išgum
152
236
0
12 Apr 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
564
6,245
0
11 Apr 2018
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric
  Fusion Net
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net
Yingda Xia
Lingxi Xie
Fengze Liu
Zhuotun Zhu
Elliot K. Fishman
Alan Yuille
3DPCMedIm
164
37
0
02 Apr 2018
Hierarchical Transfer Convolutional Neural Networks for Image
  Classification
Hierarchical Transfer Convolutional Neural Networks for Image Classification
Xishuang Dong
Hsiang-Huang Wu
Yuzhong Yan
Lijun Qian
109
5
0
30 Mar 2018
Pancreas Segmentation in CT and MRI Images via Domain Specific Network
  Designing and Recurrent Neural Contextual Learning
Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning
Jinzheng Cai
Le Lu
Fuyong Xing
Ling Yang
MedIm
124
40
0
30 Mar 2018
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly
  Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis
  Lesion Detection
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection
Seyed Raein Hashemi
Seyed Sadegh Mohseni Salehi
Deniz Erdogmus
S. Prabhu
Simon K. Warfield
Ali Gholipour
MedIm
177
180
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DeepVesselNet: Vessel Segmentation, Centerline Prediction, and
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DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes
Giles Tetteh
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Nils D. Forkert
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B. Weber
C. Zimmer
Marie Piraud
Bjoern Menze
MedIm3DPC
134
242
0
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Deep learning and its application to medical image segmentation
Deep learning and its application to medical image segmentation
H. Roth
Chen Shen
H. Oda
M. Oda
Y. Hayashi
K. Misawa
K. Mori
MedImSSeg
142
129
0
23 Mar 2018
DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided
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DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided Procedures
Mathias Unberath
Jan-Nico Zaech
Sing Chun Lee
Bastian Bier
J. Fotouhi
Mehran Armand
Nassir Navab
MedImOOD
146
135
0
22 Mar 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple
  Resolutions
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
Weitong Chen
Jordan Prosky
Eric Poblenz
Ben Covington
Kevin Lyman
128
128
0
21 Mar 2018
TOMAAT: volumetric medical image analysis as a cloud service
TOMAAT: volumetric medical image analysis as a cloud service
Fausto Milletari
Johann Frei
Seyed-Ahmad Ahmadi
80
5
0
19 Mar 2018
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully
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Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional NetworksIEEE journal of biomedical and health informatics (IEEE JBHI), 2018
M. Anthimopoulos
Stergios Christodoulidis
L. Ebner
Thomas Geiser
Andreas Christe
Stavroula Mougiakakou
104
118
0
16 Mar 2018
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face
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Zhiwen Shao
Zhilei Liu
Jianfei Cai
Lizhuang Ma
CVBM
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An application of cascaded 3D fully convolutional networks for medical
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An application of cascaded 3D fully convolutional networks for medical image segmentation
H. Roth
H. Oda
Xiangrong Zhou
N. Shimizu
Ying Yang
Y. Hayashi
M. Oda
M. Fujiwara
K. Misawa
K. Mori
141
284
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14 Mar 2018
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
N. Gessert
M. Schlüter
Alexander Schlaefer
95
30
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10 Mar 2018
Fusing Hierarchical Convolutional Features for Human Body Segmentation
  and Clothing Fashion Classification
Fusing Hierarchical Convolutional Features for Human Body Segmentation and Clothing Fashion Classification
Zheng Zhang
Chengfang Song
Qin Zou
3DHAI4CE
75
1
0
09 Mar 2018
Concurrent Spatial and Channel Squeeze & Excitation in Fully
  Convolutional Networks
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks
Abhijit Guha Roy
Nassir Navab
Christian Wachinger
149
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Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution
  to the BRATS 2017 Challenge
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge
Hyunjin Park
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier-Hein
189
524
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28 Feb 2018
Multi-Oriented Scene Text Detection via Corner Localization and Region
  Segmentation
Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
Pengyuan Lyu
Cong Yao
Wenhao Wu
Shuicheng Yan
X. Bai
184
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25 Feb 2018
Generating retinal flow maps from structural optical coherence
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Generating retinal flow maps from structural optical coherence tomography with artificial intelligence
Cecilia S. Lee
Ariel J. Tyring
Yue Wu
Sa Xiao
Ariel S. Rokem
Nicolaas P. Deruyter
Qinqin Zhang
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Ruikang K. Wang
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MedIm
98
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Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net)
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Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
SSeg
341
1,147
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Fully Convolutional Network Ensembles for White Matter Hyperintensities
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Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images
Hongwei Bran Li
Gongfa Jiang
Jianguo Zhang
Ruixuan Wang
Zhaolei Wang
Weishi Zheng
Bjoern Menze
232
205
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Joint Learning for Pulmonary Nodule Segmentation, Attributes and
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Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction
Botong Wu
Zhen Zhou
Jianwei Wang
Yizhou Wang
103
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Deep learning in radiology: an overview of the concepts and a survey of
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Maciej A. Mazurowski
Mateusz Buda
Ashirbani Saha
Mustafa R. Bashir
MedImAI4CE
123
484
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Densely Dilated Spatial Pooling Convolutional Network using benign loss
  functions for imbalanced volumetric prostate segmentation
Densely Dilated Spatial Pooling Convolutional Network using benign loss functions for imbalanced volumetric prostate segmentation
Qiuhua Liu
Minghao Fu
Xinqi Gong
Hao Jiang
MedIm
84
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