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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
Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning
Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning
A. Lemay
C. Gros
Z. Zhuo
Jie Zhang
Y. Duan
Julien Cohen-Adad
Yaou Liu
33
4
0
23 Dec 2020
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised
  Domain Adaptation on Hip Joint Bone Segmentation
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation
G. Zeng
T. Lerch
F. Schmaranzer
Guoyan Zheng
Juergen Burger
Kate Gerber
M. Tannast
K. Siebenrock
N. Gerber
54
2
0
23 Dec 2020
Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation
Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation
Hao Tang
Xingwei Liu
Kun Han
Shanlin Sun
Narisu Bai
Xuming Chen
Qian Huang
Yong Liu
Xiaohui Xie
SSegMedIm
90
25
0
16 Dec 2020
CHS-Net: A Deep learning approach for hierarchical segmentation of
  COVID-19 infected CT images
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images
Narinder Singh Punn
Sonali Agarwal
112
32
0
13 Dec 2020
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised
  CNN-Based Methods
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods
H. Zhang
I. Oguz
62
14
0
12 Dec 2020
Interactive Radiotherapy Target Delineation with 3D-Fused Context
  Propagation
Interactive Radiotherapy Target Delineation with 3D-Fused Context Propagation
Chun-Hung Chao
Hsien-Tzu Cheng
T. Ho
Le Lu
Min Sun
MedIm
38
2
0
12 Dec 2020
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation
Saqib Qamar
Parvez Ahmad
Linlin Shen
45
27
0
12 Dec 2020
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein
  Segmentation in CT
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT
Yulei Qin
Hao Zheng
Yun Gu
Xiaolin Huang
Jie Yang
Lihui Wang
Feng Yao
Y. Zhu
Guang-Zhong Yang
52
75
0
10 Dec 2020
3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic
  Literature Review
3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review
D. Kern
André Mastmeyer
23
10
0
10 Dec 2020
Learning the Evolution of the Universe in N-body Simulations
Learning the Evolution of the Universe in N-body Simulations
Chang Chen
Yin Li
F. Villaescusa-Navarro
S. Ho
A. Pullen
32
4
0
10 Dec 2020
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic
  Segmentation
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
Venice Erin Liong
Thi Ngoc Tho Nguyen
S. Widjaja
Dhananjai Sharma
Z. J. Chong
3DPC
222
114
0
09 Dec 2020
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging
  Studies
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
Jinzheng Cai
Youbao Tang
K. Yan
Adam P. Harrison
Jing Xiao
Gigin Lin
Le Lu
MedIm
90
31
0
09 Dec 2020
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter
Liang Qiao
Ying-Cong Chen
Zhanzhan Cheng
Yunlu Xu
Yi Niu
Shiliang Pu
Leilei Gan
76
78
0
08 Dec 2020
Esophageal Tumor Segmentation in CT Images using Dilated Dense Attention
  Unet (DDAUnet)
Esophageal Tumor Segmentation in CT Images using Dilated Dense Attention Unet (DDAUnet)
Sahar Yousefi
Hessam Sokooti
Mohamed S. Elmahdy
I. Lips
M. M. Manzuri Shalmani
R. Zinkstok
F. Dankers
Marius Staring
87
25
0
06 Dec 2020
Automatic Segmentation and Location Learning of Neonatal Cerebral
  Ventricles in 3D Ultrasound Data Combining CNN and CPPN
Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN
Matthieu Martin
B. Sciolla
M. Sdika
P. Quetin
P. Delachartre
31
12
0
05 Dec 2020
Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Ngan Le
T. Hoang Ngan Le
Kashu Yamazaki
T. Bui
Khoa Luu
Marios Savvides
64
11
0
04 Dec 2020
Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard
  Exudate Segmentation from Colour Fundus Images
Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images
Qing Liu
Haotian Liu
Yixiong Liang
19
11
0
03 Dec 2020
Single-shot Path Integrated Panoptic Segmentation
Single-shot Path Integrated Panoptic Segmentation
Sukjun Hwang
Seoung Wug Oh
Seon Joo Kim
85
10
0
03 Dec 2020
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion
  Segmentation of COVID-19 Chest CT Scans
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans
Tanvir Mahmud
Md Awsafur Rahman
S. Fattah
S. Kung
MedIm
41
22
0
02 Dec 2020
Unsupervised Neural Domain Adaptation for Document Image Binarization
Unsupervised Neural Domain Adaptation for Document Image Binarization
Francisco J. Castellanos
Antonio Javier Gallego
Jorge Calvo-Zaragoza
OOD
38
20
0
02 Dec 2020
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
Huiyu Wang
Yukun Zhu
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
ViT
143
531
0
01 Dec 2020
Fully Convolutional Networks for Panoptic Segmentation
Fully Convolutional Networks for Panoptic Segmentation
Yanwei Li
Hengshuang Zhao
Xiaojuan Qi
Liwei Wang
Zeming Li
Jian Sun
Jiaya Jia
136
171
0
01 Dec 2020
CM-Net: Concentric Mask based Arbitrary-Shaped Text Detection
CM-Net: Concentric Mask based Arbitrary-Shaped Text Detection
Chuan Yang
Mulin. Chen
Zhitong Xiong
Yuan. Yuan
Qi. Wang
ObjD
98
29
0
30 Nov 2020
End-to-End Video Instance Segmentation with Transformers
End-to-End Video Instance Segmentation with Transformers
Yuqing Wang
Zhaoliang Xu
Xinlong Wang
Chunhua Shen
Baoshan Cheng
Hao Shen
Huaxia Xia
ViT
98
692
0
30 Nov 2020
OpenKBP: The open-access knowledge-based planning grand challenge
OpenKBP: The open-access knowledge-based planning grand challenge
A. Babier
Binghao Zhang
Rafid Mahmood
K. Moore
T. Purdie
A. McNiven
T. Chan
52
91
0
28 Nov 2020
Federated Semi-Supervised Learning for COVID Region Segmentation in
  Chest CT using Multi-National Data from China, Italy, Japan
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan
Dong Yang
Ziyue Xu
Wenqi Li
Andriy Myronenko
H. Roth
...
Hitoshi Mori
K. Tamura
P. An
Bradford J. Wood
Daguang Xu
OODFedML
91
34
0
23 Nov 2020
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data
  Segmentation
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation
M. Kolarík
Radim Burget
C. Travieso-González
J. Kocica
18
6
0
23 Nov 2020
Segmentation overlapping wear particles with few labelled data and
  imbalance sample
Segmentation overlapping wear particles with few labelled data and imbalance sample
Peng Peng
Jiugen Wang
19
0
0
20 Nov 2020
Unmixing Convolutional Features for Crisp Edge Detection
Unmixing Convolutional Features for Crisp Edge Detection
Linxi Huan
Nan Xue
Xianwei Zheng
Wei He
J. Gong
Guisong Xia
103
71
0
19 Nov 2020
Bidirectional RNN-based Few Shot Learning for 3D Medical Image
  Segmentation
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation
Soopil Kim
Sion An
Philip Chikontwe
Sang Hyun Park
49
41
0
19 Nov 2020
SoftSeg: Advantages of soft versus binary training for image
  segmentation
SoftSeg: Advantages of soft versus binary training for image segmentation
C. Gros
A. Lemay
Julien Cohen-Adad
81
73
0
18 Nov 2020
Deep Active Surface Models
Deep Active Surface Models
Udaranga Wickramasinghe
G. Knott
Pascal Fua
AI4CE3DV
60
12
0
17 Nov 2020
High-level Prior-based Loss Functions for Medical Image Segmentation: A
  Survey
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
Rosana El Jurdia
Caroline Petitjean
P. Honeine
Veronika Cheplygina
F. Abdallah
SSegMedIm
91
83
0
16 Nov 2020
Deep learning in magnetic resonance prostate segmentation: A review and
  a new perspective
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective
David Gillespie
Connah Kendrick
I. Boon
C. Boon
T. Rattay
Moi Hoon Yap
25
12
0
16 Nov 2020
w-Net: Dual Supervised Medical Image Segmentation Model with
  Multi-Dimensional Attention and Cascade Multi-Scale Convolution
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution
Bo Wang
Lei Wang
Junyang Chen
Zhenghua Xu
Thomas Lukasiewicz
Zhigang Fu
83
7
0
15 Nov 2020
Lung Segmentation in Chest X-rays with Res-CR-Net
Lung Segmentation in Chest X-rays with Res-CR-Net
H. Abdulah
B. Huber
Sinan Lal
H. Abdallah
H. Soltanian-Zadeh
D. Gatti
MedImSSeg
89
2
0
14 Nov 2020
Automatic segmentation with detection of local segmentation failures in
  cardiac MRI
Automatic segmentation with detection of local segmentation failures in cardiac MRI
Jörg Sander
B. D. de Vos
Ivana Išgum
94
50
0
13 Nov 2020
A comparative study of semi- and self-supervised semantic segmentation
  of biomedical microscopy data
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data
Nastassya Horlava
A. Mironenko
Sebastian Niehaus
Sebastian Wagner
Ingo Roeder
N. Scherf
SSL
29
3
0
11 Nov 2020
Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest
  X-ray Images
Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images
Jingxiong Li
Yaqi Wang
Shuai Wang
Jun Wang
Jun Liu
Qun Jin
Lingling Sun
19
1
0
11 Nov 2020
Skin disease diagnosis with deep learning: a review
Skin disease diagnosis with deep learning: a review
Hongfeng Li
Yini Pan
Jie Zhao
Li Zhang
51
108
0
11 Nov 2020
MAGNeto: An Efficient Deep Learning Method for the Extractive Tags
  Summarization Problem
MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization Problem
H. Phung
A. Vu
Tung D. Nguyen
Lam Thanh Do
Giang Nam Ngo
Trung Thanh Tran
Hà Nội
ViT
27
0
0
09 Nov 2020
Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR
  Point Clouds
Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds
Yara Ali Alnaggar
Mohamed Afifi
K. Amer
Mohamed ElHelw
3DPC
81
44
0
03 Nov 2020
Generalized Wasserstein Dice Score, Distributionally Robust Deep
  Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
Lucas Fidon
Sebastien Ourselin
Tom Vercauteren
OODMedIm
74
43
0
03 Nov 2020
Distribution-aware Margin Calibration for Medical Image Segmentation
Distribution-aware Margin Calibration for Medical Image Segmentation
Zhibin Li
Litao Yu
Jian Zhang
78
1
0
03 Nov 2020
nnU-Net for Brain Tumor Segmentation
nnU-Net for Brain Tumor Segmentation
Fabian Isensee
Paul F. Jaeger
Peter M. Full
Philipp Vollmuth
Klaus H. Maier-Hein
72
299
0
02 Nov 2020
A Dilated Residual Hierarchically Fashioned Segmentation Framework for
  Extracting Gleason Tissues and Grading Prostate Cancer from Whole Slide
  Images
A Dilated Residual Hierarchically Fashioned Segmentation Framework for Extracting Gleason Tissues and Grading Prostate Cancer from Whole Slide Images
Taimur Hassan
Bilal Hassan
A. El-Baz
Naoufel Werghi
64
10
0
01 Nov 2020
Learning Euler's Elastica Model for Medical Image Segmentation
Learning Euler's Elastica Model for Medical Image Segmentation
Xu Chen
Xiangde Luo
Yitian Zhao
Shaoting Zhang
Guotai Wang
Yalin Zheng
MedIm
36
17
0
01 Nov 2020
Some Theory for Texture Segmentation
Some Theory for Texture Segmentation
Lin Zheng
42
0
0
31 Oct 2020
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net
  neural networks: a BraTS 2020 challenge solution
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution
T. Henry
Alexandre Carré
Marvin Lerousseau
Théo Estienne
C. Robert
Nikos Paragios
Eric Deutsch
45
80
0
30 Oct 2020
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine
  Framework and Its Adversarial Examples
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples
Yingwei Li
Zhuotun Zhu
Yuyin Zhou
Yingda Xia
Wei Shen
Elliot K. Fishman
Alan Yuille
MedIm
82
23
0
29 Oct 2020
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