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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
ArXivPDFHTML

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

50 / 2,398 papers shown
Title
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense
  V-Network
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network
A. Imran
Ali Hatamizadeh
Shilpa P. Ananth
Xiaowei Ding
Demetri Terzopoulos
Nima Tajbakhsh
10
41
0
18 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
29
200
0
15 Feb 2019
Enhancement Mask for Hippocampus Detection and Segmentation
Enhancement Mask for Hippocampus Detection and Segmentation
Dengsheng Chen
Wenxi Liu
Y. Huang
Tong Tong
Yuanlong Yu
14
1
0
12 Feb 2019
RespNet: A deep learning model for extraction of respiration from
  photoplethysmogram
RespNet: A deep learning model for extraction of respiration from photoplethysmogram
Vignesh Ravichandran
Balamurali Murugesan
Vaishali Balakarthikeyan
Sharath M. Shankaranarayana
Keerthi Ram
S. Preejith
J. Joseph
M. Sivaprakasam
13
47
0
12 Feb 2019
Psi-Net: Shape and boundary aware joint multi-task deep network for
  medical image segmentation
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation
Balamurali Murugesan
Kaushik Sarveswaran
Sharath M. Shankaranarayana
Keerthi Ram
M. Sivaprakasam
SSeg
35
141
0
11 Feb 2019
MultiResUNet : Rethinking the U-Net Architecture for Multimodal
  Biomedical Image Segmentation
MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
Nabil Ibtehaz
Mohammad Sohel Rahman
SSeg
14
1,605
0
11 Feb 2019
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of
  Lung Cancer Using Low-Dose CT Scans
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans
Onur Ozdemir
Rebecca L. Russell
A. Berlin
14
167
0
08 Feb 2019
Technical Considerations for Semantic Segmentation in MRI using
  Convolutional Neural Networks
Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks
Arjun D Desai
G. Gold
B. Hargreaves
Akshay S. Chaudhari
13
30
0
05 Feb 2019
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images
Abhijit Guha Roy
Shayan Siddiqui
Sebastian Polsterl
Nassir Navab
Christian Wachinger
28
181
0
04 Feb 2019
Object Detection and 3D Estimation via an FMCW Radar Using a Fully
  Convolutional Network
Object Detection and 3D Estimation via an FMCW Radar Using a Fully Convolutional Network
Guoqiang Zhang
Hao Li
Fabian Wenger
14
38
0
04 Feb 2019
Cross-modality (CT-MRI) prior augmented deep learning for robust lung
  tumor segmentation from small MR datasets
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets
Jue Jiang
Yu-chi Hu
N. Tyagi
Pengpeng Zhang
A. Rimner
Joseph O. Deasy
Harini Veeraraghavan
31
53
0
31 Jan 2019
Automated brain extraction of multi-sequence MRI using artificial neural
  networks
Automated brain extraction of multi-sequence MRI using artificial neural networks
Fabian Isensee
Marianne Schell
I. Tursunova
G. Brugnara
D. Bonekamp
...
S. Heiland
Wolfgang Wick
Martin Bendszus
Klaus Hermann Maier-Hein
Philipp Kickingereder
22
477
0
31 Jan 2019
MgNet: A Unified Framework of Multigrid and Convolutional Neural Network
MgNet: A Unified Framework of Multigrid and Convolutional Neural Network
Juncai He
Jinchao Xu
11
51
0
29 Jan 2019
A deep learning-based method for prostate segmentation in T2-weighted
  magnetic resonance imaging
A deep learning-based method for prostate segmentation in T2-weighted magnetic resonance imaging
Davood Karimi
Golnoosh Samei
Yanan Shao
Septimiu Salcudean
13
10
0
27 Jan 2019
Joint shape learning and segmentation for medical images using a
  minimalistic deep network
Joint shape learning and segmentation for medical images using a minimalistic deep network
Balamurali Murugesan
Kaushik Sarveswaran
Sharath M. Shankaranarayana
Keerthi Ram
M. Sivaprakasam
SSeg
MedIm
33
2
0
25 Jan 2019
Better accuracy with quantified privacy: representations learned via
  reconstructive adversarial network
Better accuracy with quantified privacy: representations learned via reconstructive adversarial network
Sicong Liu
Anshumali Shrivastava
Junzhao Du
Lin Zhong
9
13
0
25 Jan 2019
Reducing the Model Variance of a Rectal Cancer Segmentation Network
Reducing the Model Variance of a Rectal Cancer Segmentation Network
Joohyun Lee
J. Oh
Min Ju Kim
B. Hur
D. Sohn
22
15
0
22 Jan 2019
Visualized Insights into the Optimization Landscape of Fully
  Convolutional Networks
Visualized Insights into the Optimization Landscape of Fully Convolutional Networks
Jianjie Lu
K. Tong
24
12
0
20 Jan 2019
Learning Mutually Local-global U-nets For High-resolution Retinal Lesion
  Segmentation in Fundus Images
Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images
Zizheng Yan
Xiaoguang Han
Changmiao Wang
Yuda Qiu
Zixiang Xiong
Shuguang Cui
SSeg
14
58
0
18 Jan 2019
The Liver Tumor Segmentation Benchmark (LiTS)
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic
P. Christ
Hongwei Bran Li
Eugene Vorontsov
Avi Ben-Cohen
...
L. Soler
Bram van Ginneken
H. Greenspan
Leo Joskowicz
Bjoern H. Menze
33
990
0
13 Jan 2019
Residual Pyramid FCN for Robust Follicle Segmentation
Residual Pyramid FCN for Robust Follicle Segmentation
Zhewei Wang
W. Cai
Charles D. Smith
Noriko Kantake
T. Rosol
Jundong Liu
6
6
0
11 Jan 2019
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization
Tian Xia
A. Chartsias
Sotirios A. Tsaftaris
MedIm
22
14
0
10 Jan 2019
Myocardial Infarction Quantification From Late Gadolinium Enhancement
  MRI Using Top-hat Transforms and Neural Networks
Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks
Ezequiel de la Rosa
D. Sidibé
Thomas Decourselle
T. Leclercq
A. Cochet
A. Lalande
22
16
0
09 Jan 2019
Healthy versus pathological learning transferability in shoulder muscle
  MRI segmentation using deep convolutional encoder-decoders
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders
Pierre-Henri Conze
S. Brochard
Valérie Burdin
F. Sheehan
C. Pons
MedIm
26
47
0
06 Jan 2019
Brain segmentation based on multi-atlas guided 3D fully convolutional
  network ensembles
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles
Jiong Wu
Xiaoying Tang
11
35
0
05 Jan 2019
Cascaded V-Net using ROI masks for brain tumor segmentation
Cascaded V-Net using ROI masks for brain tumor segmentation
Adrià Casamitjana
Hugo J. Kuijf
Bjoern H. Menze
M. Reyes
Verónica Vilaplana
22
196
0
30 Dec 2018
Monte-Carlo Sampling applied to Multiple Instance Learning for
  Histological Image Classification
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Marc Combalia
João Paulo Papa
25
81
0
30 Dec 2018
MMFNet: A Multi-modality MRI Fusion Network for Segmentation of
  Nasopharyngeal Carcinoma
MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma
Huai Chen
Yuxiao Qi
Yong Yin
TengXiang Li
Xiaoqing Liu
Xiuli Li
G. Gong
Lisheng Wang
MedIm
22
70
0
25 Dec 2018
Holistic Decomposition Convolution for Effective Semantic Segmentation
  of 3D MR Images
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images
G. Zeng
Guoyan Zheng
13
3
0
24 Dec 2018
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a
  Benchmark at Cross-modality Cardiac Segmentation
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation
Qi Dou
Cheng Ouyang
Cheng Chen
Hao Chen
Ben Glocker
Xiahai Zhuang
Pheng-Ann Heng
MedIm
26
49
0
19 Dec 2018
Fast and Accurate 3D Medical Image Segmentation with Data-swapping
  Method
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method
Haruki Imai
Samuel Matzek
Tung D. Le
Yasushi Negishi
K. Kawachiya
MedIm
20
10
0
19 Dec 2018
Boundary loss for highly unbalanced segmentation
Boundary loss for highly unbalanced segmentation
H. Kervadec
Jihene Bouchtiba
Christian Desrosiers
Eric Granger
Jose Dolz
Ismail Ben Ayed
13
475
0
17 Dec 2018
Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep
  Neural Networks: Robust Learning from Heterogeneous Beam Configurations
Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations
A. M. Barragán-Montero
D. Nguyen
W. Lu
Mu-Han Lin
X. Geets
E. Sterpin
Steve B. Jiang
40
128
0
17 Dec 2018
Automatic quantification of the LV function and mass: a deep learning
  approach for cardiovascular MRI
Automatic quantification of the LV function and mass: a deep learning approach for cardiovascular MRI
A. Curiale
F. D. Colavecchia
G. Mato
6
32
0
14 Dec 2018
Non-local U-Net for Biomedical Image Segmentation
Non-local U-Net for Biomedical Image Segmentation
Zhengyang Wang
Na Zou
Dinggang Shen
Shuiwang Ji
SSeg
15
6
0
10 Dec 2018
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL
  Segmentation using Deep CNN
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN
H. P. Do
Yi Guo
A. Yoon
K. Nayak
16
22
0
10 Dec 2018
Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice
  Loss
Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss
O. Kodym
M. Spanel
A. Herout
13
27
0
06 Dec 2018
Cerebrovascular Network Segmentation on MRA Images with Deep Learning
Cerebrovascular Network Segmentation on MRA Images with Deep Learning
Pedro Sanches
C. Meyer
Vincent Vigon
B. Naegel
27
51
0
04 Dec 2018
Cross-Classification Clustering: An Efficient Multi-Object Tracking
  Technique for 3-D Instance Segmentation in Connectomics
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics
Yaron Meirovitch
Lu Mi
Hayk Saribekyan
A. Matveev
David Rolnick
Nir Shavit
40
38
0
04 Dec 2018
SUSAN: Segment Unannotated image Structure using Adversarial Network
SUSAN: Segment Unannotated image Structure using Adversarial Network
Fang Liu
GAN
MedIm
42
56
0
03 Dec 2018
Elastic Boundary Projection for 3D Medical Image Segmentation
Elastic Boundary Projection for 3D Medical Image Segmentation
Tianwei Ni
Lingxi Xie
Huangjie Zheng
Elliot K. Fishman
Alan Yuille
27
34
0
03 Dec 2018
Iterative Reorganization with Weak Spatial Constraints: Solving
  Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning
Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning
Chen Wei
Lingxi Xie
Xutong Ren
Yingda Xia
Chi Su
Jiaying Liu
Qi Tian
Alan Yuille
SSL
27
131
0
02 Dec 2018
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View
  Co-Training
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia
Fengze Liu
Ke Wang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
183
124
0
29 Nov 2018
EV-SegNet: Semantic Segmentation for Event-based Cameras
EV-SegNet: Semantic Segmentation for Event-based Cameras
Inigo Alonso
Ana C. Murillo
31
137
0
29 Nov 2018
CT organ segmentation using GPU data augmentation, unsupervised labels
  and IOU loss
CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss
Blaine Rister
Darvin Yi
K. Shivakumar
Tomomi W. Nobashi
D. Rubin
OOD
6
11
0
27 Nov 2018
An overview of deep learning in medical imaging focusing on MRI
An overview of deep learning in medical imaging focusing on MRI
A. Lundervold
A. Lundervold
OOD
17
1,605
0
25 Nov 2018
Graph Refinement based Airway Extraction using Mean-Field Networks and
  Graph Neural Networks
Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks
Raghavendra Selvan
Thomas Kipf
Max Welling
Antonio Garcia-Uceda Juarez
J. Pedersen
Jens Petersen
Marleen de Bruijne
22
12
0
21 Nov 2018
A Pretrained DenseNet Encoder for Brain Tumor Segmentation
A Pretrained DenseNet Encoder for Brain Tumor Segmentation
J. Stawiaski
3DV
18
21
0
19 Nov 2018
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning
Paden Tomasello
Sammy Sidhu
Anting Shen
Matthew W. Moskewicz
Nobie Redmon
Gayatri Joshi
Romi Phadte
Paras Jain
F. Iandola
3DV
3DPC
22
11
0
17 Nov 2018
Learning to Predict the Cosmological Structure Formation
Learning to Predict the Cosmological Structure Formation
Siyu He
Yin Li
Yu Feng
S. Ho
Siamak Ravanbakhsh
Wei Chen
Barnabás Póczós
20
168
0
15 Nov 2018
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