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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 / 2,592 papers shown
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully
  Convolutional Networks
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
127
120
0
16 Mar 2018
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face
  Alignment
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face AlignmentEuropean Conference on Computer Vision (ECCV), 2018
Zhiwen Shao
Zhilei Liu
Jianfei Cai
Lizhuang Ma
CVBM
239
191
0
15 Mar 2018
An application of cascaded 3D fully convolutional networks for medical
  image segmentation
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
183
286
0
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
118
32
0
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
82
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
153
949
0
07 Mar 2018
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
288
526
0
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
237
339
0
25 Feb 2018
Generating retinal flow maps from structural optical coherence
  tomography with artificial intelligence
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
A. Tufail
Ruikang K. Wang
Aaron Y. Lee
MedIm
102
1
0
24 Feb 2018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net)
  for Medical Image Segmentation
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
528
1,177
0
20 Feb 2018
Fully Convolutional Network Ensembles for White Matter Hyperintensities
  Segmentation in MR Images
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
260
209
0
14 Feb 2018
Joint Learning for Pulmonary Nodule Segmentation, Attributes and
  Malignancy Prediction
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction
Botong Wu
Zhen Zhou
Jianwei Wang
Yizhou Wang
129
125
0
10 Feb 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
MedImAI4CE
146
488
0
10 Feb 2018
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
127
15
0
31 Jan 2018
E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene
  Text
E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text
M. Busta
Yash J. Patel
Jirí Matas
129
100
0
30 Jan 2018
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D
  Segmentation using Sparse and Binary Convolutions
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions
M. Heinrich
Maximilian Blendowski
Ozan Oktay
MedIm
149
44
0
29 Jan 2018
Three Dimensional Fluorescence Microscopy Image Synthesis and
  Segmentation
Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation
Chichen Fu
Soonam Lee
D. J. Ho
Shuo Han
P. Salama
K. Dunn
Edward J. Delp
3DVMedIm
189
65
0
22 Jan 2018
A Foreground Inference Network for Video Surveillance Using Multi-View
  Receptive Field
A Foreground Inference Network for Video Surveillance Using Multi-View Receptive Field
Thangarajah Akilan
96
3
0
19 Jan 2018
Quantitative analysis of patch-based fully convolutional neural networks
  for tissue segmentation on brain magnetic resonance imaging
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging
J. Bernal
Kaisar Kushibar
Mariano Cabezas
Sergi Valverde
A. Oliver
Xavier Llado
3DV
156
42
0
19 Jan 2018
On the influence of Dice loss function in multi-class organ segmentation
  of abdominal CT using 3D fully convolutional networks
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks
Chen Shen
H. Roth
H. Oda
M. Oda
Y. Hayashi
K. Misawa
K. Mori
3DPCSSeg
147
49
0
18 Jan 2018
Fully Convolutional Multi-scale Residual DenseNets for Cardiac
  Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
Mahendra Khened
Alex Varghese
Ganapathy Krishnamurthi
127
337
0
16 Jan 2018
QuickNAT: A Fully Convolutional Network for Quick and Accurate
  Segmentation of Neuroanatomy
QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy
Abhijit Guha Roy
Sailesh Conjeti
Nassir Navab
Christian Wachinger
187
243
0
12 Jan 2018
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
Min Xian
Yingtao Zhang
H. Cheng
Fei Xu
Kuan Huang
Boyu Zhang
Jianrui Ding
C. Ning
Ying Wang
165
85
0
09 Jan 2018
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural
  Networks with A Hierarchical Dice Loss
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice Loss
Jiachi Zhang
Xiaolei Shen
Tianqi Zhuo
Hong Zhou
223
43
0
25 Dec 2017
Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative
  Learning
Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning
Yang Nan
Gianmarc Coppola
Q. Liang
Kunlin Zou
Wei Sun
Dan Zhang
Yaonan Wang
Guanzhen Yu
92
7
0
20 Dec 2017
Automatic Renal Segmentation in DCE-MRI using Convolutional Neural
  Networks
Automatic Renal Segmentation in DCE-MRI using Convolutional Neural NetworksIEEE International Symposium on Biomedical Imaging (ISBI), 2017
M. Haghighi
Simon K. Warfield
Sila Kurugol
MedIm
133
39
0
19 Dec 2017
Automatic segmentation method of pelvic floor levator hiatus in
  ultrasound using a self-normalising neural network
Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network
E. Bonmati
Yipeng Hu
Nikhil Sindhwani
H. Dietz
Jan D'hooge
D. Barratt
Jan Deprest
Tom Vercauteren
131
33
0
18 Dec 2017
Deep CNN ensembles and suggestive annotations for infant brain MRI
  segmentation
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
Jose Dolz
Christian Desrosiers
Li Wang
Jing Yuan
Dinggang Shen
Ismail Ben Ayed
3DV
195
118
0
14 Dec 2017
Deep convolutional neural networks for brain image analysis on magnetic
  resonance imaging: a review
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
J. Bernal
Kaisar Kushibar
Daniel S. Asfaw
Sergi Valverde
A. Oliver
Robert Martí
Xavier Llado
191
373
0
11 Dec 2017
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation
Zhuotun Zhu
Yingda Xia
Wei-Che Shen
Elliot K. Fishman
Alan Yuille
208
145
0
01 Dec 2017
Segmenting Brain Tumors with Symmetry
Segmenting Brain Tumors with Symmetry
Hejia Zhang
Xia Zhu
Theodore L. Willke
86
10
0
17 Nov 2017
Towards dense volumetric pancreas segmentation in CT using 3D fully
  convolutional networks
Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks
H. Roth
M. Oda
N. Shimizu
H. Oda
Y. Hayashi
T. Kitasaka
M. Fujiwara
K. Misawa
K. Mori
MedIm
163
46
0
17 Nov 2017
Squeeze-SegNet: A new fast Deep Convolutional Neural Network for
  Semantic Segmentation
Squeeze-SegNet: A new fast Deep Convolutional Neural Network for Semantic Segmentation
Géraldin Nanfack
Azeddine Elhassouny
Rachid Oulad Haj Thami
SSeg
245
24
0
15 Nov 2017
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic
  Eddies
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies
Redouane Lguensat
Miao Sun
Ronan Fablet
E. Mason
P. Tandeo
Ge Chen
197
151
0
10 Nov 2017
Segmentation-by-Detection: A Cascade Network for Volumetric Medical
  Image Segmentation
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation
Min Tang
Zichen Zhang
Dana Cobzas
Martin Jägersand
Jacob L. Jaremko
172
24
0
31 Oct 2017
Regularization for Deep Learning: A Taxonomy
Regularization for Deep Learning: A Taxonomy
J. Kukačka
Vladimir Golkov
Zorah Lähner
171
361
0
29 Oct 2017
Learning to diagnose from scratch by exploiting dependencies among
  labels
Learning to diagnose from scratch by exploiting dependencies among labels
Weitong Chen
Eric Poblenz
Dmitry Dagunts
Ben Covington
D. Bernard
Kevin Lyman
214
358
0
28 Oct 2017
Interactive Medical Image Segmentation using Deep Learning with
  Image-specific Fine-tuning
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning
Guotai Wang
Wenqi Li
Maria A. Zuluaga
R. Pratt
P. Patel
...
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
233
739
0
11 Oct 2017
A Multiscale Patch Based Convolutional Network for Brain Tumor
  Segmentation
A Multiscale Patch Based Convolutional Network for Brain Tumor Segmentation
J. Stawiaski
81
9
0
06 Oct 2017
Spinal cord gray matter segmentation using deep dilated convolutions
Spinal cord gray matter segmentation using deep dilated convolutions
C. Perone
Evan Calabrese
Julien Cohen-Adad
MedIm
151
122
0
02 Oct 2017
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Heran Yang
Jian Sun
Huibin Li
Lisheng Wang
Zongben Xu
120
30
0
27 Sep 2017
A feasibility study for predicting optimal radiation therapy dose
  distributions of prostate cancer patients from patient anatomy using deep
  learning
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
D. Nguyen
T. Long
X. Jia
W. Lu
X. Gu
Zohaib Iqbal
Steve B. Jiang
169
48
0
26 Sep 2017
When is a Convolutional Filter Easy To Learn?
When is a Convolutional Filter Easy To Learn?
S. Du
Jason D. Lee
Yuandong Tian
MLT
272
130
0
18 Sep 2017
Cystoid macular edema segmentation of Optical Coherence Tomography
  images using fully convolutional neural networks and fully connected CRFs
Cystoid macular edema segmentation of Optical Coherence Tomography images using fully convolutional neural networks and fully connected CRFs
Fangliang Bai
M. Marques
S. Gibson
MedIm
67
12
0
15 Sep 2017
DeepVoting: A Robust and Explainable Deep Network for Semantic Part
  Detection under Partial Occlusion
DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection under Partial Occlusion
Zhishuai Zhang
Cihang Xie
Jianyu Wang
Lingxi Xie
Alan Yuille
232
9
0
14 Sep 2017
Recurrent Saliency Transformation Network: Incorporating Multi-Stage
  Visual Cues for Small Organ Segmentation
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation
Qihang Yu
Lingxi Xie
Yan Wang
Yuyin Zhou
Elliot K. Fishman
Alan Yuille
MedIm
199
3
0
13 Sep 2017
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR
  Image Segmentation
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation
Christian F. Baumgartner
Lisa M. Koch
Marc Pollefeys
E. Konukoglu
154
261
0
13 Sep 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
229
557
0
11 Sep 2017
Segmentation and Classification of Cine-MR Images Using Fully
  Convolutional Networks and Handcrafted Features
Segmentation and Classification of Cine-MR Images Using Fully Convolutional Networks and Handcrafted Features
M. H. Eybposh
Mohammad Haghir Ebrahim-Abadi
Mohammad Jalilpour-Monesi
S. S. Saboksayr
55
4
0
08 Sep 2017
Learning to Segment Breast Biopsy Whole Slide Images
Learning to Segment Breast Biopsy Whole Slide Images
Sachin Mehta
E. Mercan
Jamen Bartlett
D. Weaver
J. Elmore
Linda G. Shapiro
MedIm
203
43
0
08 Sep 2017
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