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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 / 2,423 papers shown
Title
Generative Adversarial Networks in Human Emotion Synthesis:A Review
Generative Adversarial Networks in Human Emotion Synthesis:A Review
Noushin Hajarolasvadi
M. A. Ramírez
H. Demirel
GAN
63
22
0
28 Oct 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma
Yao Zhang
Song Gu
Cheng Zhu
Cheng Ge
...
Shangqing Liu
Yunpeng Wang
Yuhui Li
Jian He
Xiaoping Yang
SSegOOD
121
347
0
28 Oct 2020
Optimization for Medical Image Segmentation: Theory and Practice when
  evaluating with Dice Score or Jaccard Index
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index
Tom Eelbode
J. Bertels
Maxim Berman
Dirk Vandermeulen
F. Maes
R. Bisschops
Matthew B. Blaschko
134
267
0
26 Oct 2020
Matthews Correlation Coefficient Loss for Deep Convolutional Networks:
  Application to Skin Lesion Segmentation
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation
Kumar Abhishek
Ghassan Hamarneh
45
32
0
26 Oct 2020
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid
  Loss: Application to Quality Control and Inspection
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid Loss: Application to Quality Control and Inspection
Kai Yao
A. Ortiz
F. Bonnín-Pascual
54
0
0
26 Oct 2020
Context Aware 3D UNet for Brain Tumor Segmentation
Context Aware 3D UNet for Brain Tumor Segmentation
Parvez Ahmad
Saqib Qamar
Linlin Shen
Adnan Saeed
SSeg
69
36
0
25 Oct 2020
Tissue characterization based on the analysis on i3DUS data for
  diagnosis support in neurosurgery
Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery
Moucheng Xu
21
0
0
24 Oct 2020
Automated crater detection with human level performance
Automated crater detection with human level performance
Christopher Lee
J. Hogan
20
31
0
23 Oct 2020
A Teacher-Student Framework for Semi-supervised Medical Image
  Segmentation From Mixed Supervision
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision
Liyan Sun
Jianxiong Wu
Xinghao Ding
Yue Huang
Guisheng Wang
Yizhou Yu
94
17
0
23 Oct 2020
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
Yaochen Xie
Zhengyang Wang
Shuiwang Ji
131
118
0
22 Oct 2020
Exploring Overcomplete Representations for Single Image Deraining using
  CNNs
Exploring Overcomplete Representations for Single Image Deraining using CNNs
R. Yasarla
Jeya Maria Jose Valanarasu
Vishal M. Patel
91
19
0
20 Oct 2020
ivadomed: A Medical Imaging Deep Learning Toolbox
ivadomed: A Medical Imaging Deep Learning Toolbox
C. Gros
A. Lemay
Olivier Vincent
Lucas Rouhier
Anthime Bucquet
Joseph Paul Cohen
Julien Cohen-Adad
LM&MAMedIm
77
15
0
20 Oct 2020
SPECT Imaging Reconstruction Method Based on Deep Convolutional Neural
  Network
SPECT Imaging Reconstruction Method Based on Deep Convolutional Neural Network
C. Chrysostomou
L. Koutsantonis
Christos Lemesios
C. Papanicolas
40
9
0
19 Oct 2020
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
Zhanwei Xu
Yukun Cao
Cheng Jin
Guozhu Shao
Xiaoqing Liu
Jie Zhou
Heshui Shi
Jianjiang Feng
MedIm
81
25
0
19 Oct 2020
Double-Uncertainty Weighted Method for Semi-supervised Learning
Double-Uncertainty Weighted Method for Semi-supervised Learning
Yixin Wang
Yao Zhang
Jiang Tian
Cheng Zhong
Zhongchao Shi
Yang Zhang
Zhiqiang He
UQCV
68
116
0
19 Oct 2020
Modality-Pairing Learning for Brain Tumor Segmentation
Modality-Pairing Learning for Brain Tumor Segmentation
Yixin Wang
Yao Zhang
Feng Hou
Yang Liu
Jiang Tian
Cheng Zhong
Yang Zhang
Zhiqiang He
150
69
0
19 Oct 2020
End-to-End Learning for Simultaneously Generating Decision Map and
  Multi-Focus Image Fusion Result
End-to-End Learning for Simultaneously Generating Decision Map and Multi-Focus Image Fusion Result
Boyuan Ma
Xiang Yin
Di Wu
Xiaojuan Ban
3DH
42
62
0
17 Oct 2020
Drink Bleach or Do What Now? Covid-HeRA: A Study of Risk-Informed Health
  Decision Making in the Presence of COVID-19 Misinformation
Drink Bleach or Do What Now? Covid-HeRA: A Study of Risk-Informed Health Decision Making in the Presence of COVID-19 Misinformation
Arkin Dharawat
Ismini Lourentzou
Alex Morales
ChengXiang Zhai
64
18
0
17 Oct 2020
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical
  Imaging
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
M. Elliott
Yuanhong Chen
Huazhu Fu
Yuyuan Liu
C. Kwok
...
Chong Wang
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
Fengbei Liu
MedIm
65
159
0
15 Oct 2020
PP-LinkNet: Improving Semantic Segmentation of High Resolution Satellite
  Imagery with Multi-stage Training
PP-LinkNet: Improving Semantic Segmentation of High Resolution Satellite Imagery with Multi-stage Training
An Tran
Ali Zonoozi
Jagannadan Varadarajan
Hannes Kruppa
SSeg
65
14
0
14 Oct 2020
Bridging 2D and 3D Segmentation Networks for Computation Efficient
  Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
Yichi Zhang
Qingcheng Liao
Leiting Ding
Jicong Zhang
3DV
141
85
0
13 Oct 2020
Selective Information Passing for MR/CT Image Segmentation
Selective Information Passing for MR/CT Image Segmentation
Qikui Zhu
Liang Li
Jiangnan Hao
Y. Zha
Yan Zhang
Yanxiang Cheng
Fei Liao
Pingxiang Li
MedIm
53
6
0
10 Oct 2020
Fast Fourier Transformation for Optimizing Convolutional Neural Networks
  in Object Recognition
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition
Varsha Nair
Moitrayee Chatterjee
Neda Tavakoli
A. Namin
Craig Snoeyink
25
12
0
08 Oct 2020
Unconstrained Text Detection in Manga
Unconstrained Text Detection in Manga
Julián Del Gobbo
Rosana Matuk Herrera
35
8
0
07 Oct 2020
Artificial Intelligence: Research Impact on Key Industries; the
  Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020)
Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020)
Andreas H. Christ
Franz Quint
AI4CE
55
0
0
05 Oct 2020
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image
  and Volumetric Segmentation
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
Jeya Maria Jose Valanarasu
Vishwanath A. Sindagi
Ilker Hacihaliloglu
Vishal M. Patel
SSeg
88
169
0
04 Oct 2020
Global Adaptive Filtering Layer for Computer Vision
Global Adaptive Filtering Layer for Computer Vision
Viktor Shipitsin
Iaroslav Bespalov
Dmitry V. Dylov
49
6
0
02 Oct 2020
Realistic Image Normalization for Multi-Domain Segmentation
Realistic Image Normalization for Multi-Domain Segmentation
Pierre-Luc Delisle
Benoit Anctil-Robitaille
Christian Desrosiers
H. Lombaert
54
18
0
29 Sep 2020
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal
  Layers in OCT Images
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images
Zeyu Fu
Yang Sun
Xinming Zhang
Scott Stainton
Shaun Barney
J. Hogg
W. Innes
S. Dlay
48
3
0
28 Sep 2020
Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis
  MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman
  Filter
Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter
Xiaoran Zhang
M. Noga
David Glynn Martin
K. Punithakumar
MedIm
44
26
0
28 Sep 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
Asoke K. Nandi
SSegOOD
95
578
0
28 Sep 2020
RRPN++: Guidance Towards More Accurate Scene Text Detection
RRPN++: Guidance Towards More Accurate Scene Text Detection
Jianqi Ma
ObjD
41
6
0
28 Sep 2020
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image
  Segmentation
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation
Bryar Shareef
Aleksandar Vakanski
Min Xian
Phoebe E. Freer
41
50
0
27 Sep 2020
Two-stream Encoder-Decoder Network for Localizing Image Forgeries
Two-stream Encoder-Decoder Network for Localizing Image Forgeries
A. Mazumdar
P. Bora
23
12
0
27 Sep 2020
Enhancing MRI Brain Tumor Segmentation with an Additional Classification
  Network
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network
Hieu T. Nguyen
T. Le
T. Nguyen
N. T. Nguyen
80
20
0
25 Sep 2020
Going to Extremes: Weakly Supervised Medical Image Segmentation
Going to Extremes: Weakly Supervised Medical Image Segmentation
H. Roth
Ke Wang
Ziyue Xu
Xiaosong Wang
Daguang Xu
65
63
0
25 Sep 2020
Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation
Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation
Laura Mora Ballestar
Verónica Vilaplana
37
9
0
24 Sep 2020
Label-Efficient Multi-Task Segmentation using Contrastive Learning
Label-Efficient Multi-Task Segmentation using Contrastive Learning
J. Iwasawa
Y. Hirano
Yohei Sugawara
66
9
0
23 Sep 2020
Robustification of Segmentation Models Against Adversarial Perturbations
  In Medical Imaging
Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging
Hanwool Park
Amirhossein Bayat
Mohammad Sabokrou
Jan S. Kirschke
Bjoern Menze
OODAAMLMedIm
38
11
0
23 Sep 2020
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
Jiabo He
S. Erfani
S. Wijewickrema
S. O'Leary
K. Ramamohanarao
41
3
0
23 Sep 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for
  Explainable Medical Image Segmentation
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
Ran Gu
Guotai Wang
Tao Song
Rui Huang
Michael Aertsen
Jan Deprest
Sébastien Ourselin
Tom Vercauteren
Shaoting Zhang
SSeg
126
472
0
22 Sep 2020
TopNet: Topology Preserving Metric Learning for Vessel Tree
  Reconstruction and Labelling
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling
Deepak Keshwani
Yoshiro Kitamura
Satoshi Ihara
S. Iizuka
E. Simo-Serra
3DPC
40
39
0
18 Sep 2020
Brain tumour segmentation using cascaded 3D densely-connected U-net
Brain tumour segmentation using cascaded 3D densely-connected U-net
M. Ghaffari
Arcot Sowmya
Ruth Oliver
3DV
62
10
0
16 Sep 2020
Multi-structure bone segmentation in pediatric MR images with combined
  regularization from shape priors and adversarial network
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network
Arnaud Boutillon
Bhushan S Borotikar
Valérie Burdin
Pierre-Henri Conze
MedIm
45
18
0
15 Sep 2020
The Devil is the Classifier: Investigating Long Tail Relation
  Classification with Decoupling Analysis
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis
Haiyang Yu
Ningyu Zhang
Shumin Deng
Zonggang Yuan
Yantao Jia
Huajun Chen
74
15
0
15 Sep 2020
3D Reconstruction and Segmentation of Dissection Photographs for
  MRI-free Neuropathology
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology
Henry F. J. Tregidgo
Adrià Casamitjana
Caitlin S. Latimer
Mitchell D Kilgore
Eleanor D. Robinson
...
Bruce Fischl
Adrian Dalca
C. M. Donald
Dirk C. Keene
Juan Eugenio Iglesias
66
6
0
11 Sep 2020
Fully automated analysis of muscle architecture from B-mode ultrasound
  images with deep learning
Fully automated analysis of muscle architecture from B-mode ultrasound images with deep learning
N. Cronin
T. Finni
O. Seynnes
25
20
0
10 Sep 2020
Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On
Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On
R. Vidaurre
I. Santesteban
Elena Garces
Dan Casas
AI4CE3DH
74
79
0
09 Sep 2020
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Xiangde Luo
Jieneng Chen
Tao Song
Yinan Chen
Guotai Wang
Shaoting Zhang
85
548
0
09 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic
  Segmentation
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
GNNSSeg
61
10
0
03 Sep 2020
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