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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
Dual-Consistency Semi-Supervised Learning with Uncertainty
  Quantification for COVID-19 Lesion Segmentation from CT Images
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
Yanwen Li
Luyang Luo
Huangjing Lin
Hao Chen
Pheng-Ann Heng
93
54
0
07 Apr 2021
CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke
  Patients From Computed Tomography Perfusion Imaging
CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging
Luca Tomasetti
K. Engan
M. Khanmohammadi
K. D. Kurz
36
4
0
07 Apr 2021
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Ashwin Raju
S. Miao
Mei Han
Le Lu
Junzhou Huang
Adam P. Harrison
3DVMedIm
57
33
0
07 Apr 2021
Weakly supervised segmentation with cross-modality equivariant
  constraints
Weakly supervised segmentation with cross-modality equivariant constraints
Gaurav Patel
Jose Dolz
SSL
90
49
0
06 Apr 2021
End-to-end learning of keypoint detection and matching for relative pose
  estimation
End-to-end learning of keypoint detection and matching for relative pose estimation
Antoine Fond
Luca Del Pero
Nikola Sivacki
Marco Paladini
3DPC3DV
17
1
0
02 Apr 2021
Arbitrary-Shaped Text Detection withAdaptive Text Region Representation
Arbitrary-Shaped Text Detection withAdaptive Text Region Representation
Xiufeng Jiang
Shugong Xu
Shunqing Zhang
Shan Cao
23
10
0
01 Apr 2021
Rapid quantification of COVID-19 pneumonia burden from computed
  tomography with convolutional LSTM networks
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks
K. Grodecki
A. Killekar
A. Lin
S. Cadet
P. McElhinney
...
N. Nerlekar
C. Torlasco
G. Pontone
D. Dey
P. Slomka
21
3
0
31 Mar 2021
Force-and-moment-based Model Predictive Control for Achieving Highly
  Dynamic Locomotion on Bipedal Robots
Force-and-moment-based Model Predictive Control for Achieving Highly Dynamic Locomotion on Bipedal Robots
Junheng Li
G. Alcan
89
20
0
31 Mar 2021
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
Sheng Deng
Xun Xu
Chaozheng Wu
Ke Chen
Kui Jia
99
115
0
30 Mar 2021
Automatic airway segmentation from Computed Tomography using robust and
  efficient 3-D convolutional neural networks
Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks
Antonio Garcia-Uceda Juarez
R. Selvan
Z. Saghir
H. Tiddens
M. de Bruijne
3DV
62
47
0
30 Mar 2021
Multi-View Radar Semantic Segmentation
Multi-View Radar Semantic Segmentation
Arthur Ouaknine
A. Newson
P. Pérez
F. Tupin
Julien Rebut
74
81
0
30 Mar 2021
Predicting Landfall's Location and Time of a Tropical Cyclone Using
  Reanalysis Data
Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data
Sandeep Kumar
Koushik Biswas
A. Pandey
20
2
0
30 Mar 2021
DiNTS: Differentiable Neural Network Topology Search for 3D Medical
  Image Segmentation
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation
Yufan He
Dong Yang
H. Roth
Can Zhao
Daguang Xu
MedIm
70
64
0
29 Mar 2021
Enhanced Boundary Learning for Glass-like Object Segmentation
Enhanced Boundary Learning for Glass-like Object Segmentation
Hao He
Xiangtai Li
Guangliang Cheng
Jianping Shi
Yunhai Tong
Gaofeng Meng
V. Prinet
Lubin Weng
93
75
0
29 Mar 2021
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical
  Image Segmentation Using Deep Neural Networks: Past, Present, & Future
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future
Teofilo E. Zosa
OOD
41
0
0
27 Mar 2021
Sparse Object-level Supervision for Instance Segmentation with Pixel
  Embeddings
Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings
A. Wolny
Qin Yu
Constantin Pape
Anna Kreshuk
ISeg
82
21
0
26 Mar 2021
Detection, growth quantification and malignancy prediction of pulmonary
  nodules using deep convolutional networks in follow-up CT scans
Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans
Xavier Rafael-Palou
A. Aubanell
M. Ceresa
Vicent J. Ribas
Gemma Piella
M. A. G. Ballester
MedIm
59
3
0
26 Mar 2021
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks
Hao Li
Tianwen Fu
Jifeng Dai
Hongsheng Li
Gao Huang
Xizhou Zhu
88
29
0
25 Mar 2021
Task-Oriented Low-Dose CT Image Denoising
Task-Oriented Low-Dose CT Image Denoising
Jiajin Zhang
Hanqing Chao
Xuanang Xu
Chuang Niu
Ge Wang
Pingkun Yan
OODMedIm
55
18
0
25 Mar 2021
FakeMix Augmentation Improves Transparent Object Detection
FakeMix Augmentation Improves Transparent Object Detection
Yang Cao
Zhengqiang Zhang
Enze Xie
Qibin Hou
Kai Zhao
Xiangui Luo
Jian Tuo
AAML
124
11
0
24 Mar 2021
Multiview and Multiclass Image Segmentation using Deep Learning in Fetal
  Echocardiography
Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography
Ken C. L. Wong
E. Sinkovskaya
A. Abuhamad
Tanveer Syeda-Mahmood
48
4
0
23 Mar 2021
Pathological Image Segmentation with Noisy Labels
Pathological Image Segmentation with Noisy Labels
Li Xiao
Yinhao Li
Luxi Qv
Xinxia Tian
Yijie Peng
S.Kevin Zhou
NoLa
24
4
0
20 Mar 2021
Video Class Agnostic Segmentation Benchmark for Autonomous Driving
Video Class Agnostic Segmentation Benchmark for Autonomous Driving
Mennatullah Siam
Alex Kendall
Martin Jägersand
VOSVLM
78
20
0
19 Mar 2021
Improving Image co-segmentation via Deep Metric Learning
Improving Image co-segmentation via Deep Metric Learning
Zhengwen Li
Xiabi Liu
VLM
26
1
0
19 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViTMedIm
196
1,626
0
18 Mar 2021
Design and Development of Autonomous Delivery Robot
Design and Development of Autonomous Delivery Robot
Aniket Gujarathi
Akshay Ravindra Kulkarni
Unmesh Patil
Y. Phalak
Rajeshree Deotalu
Aman Jain
Navid Panchi
A. Dhabale
Shital S. Chiddarwar
45
4
0
16 Mar 2021
Invertible Residual Network with Regularization for Effective Medical
  Image Segmentation
Invertible Residual Network with Regularization for Effective Medical Image Segmentation
Kashu Yamazaki
V. Rathour
T. Hoang Ngan Le
MedIm
61
6
0
16 Mar 2021
Versailles-FP dataset: Wall Detection in Ancient
Versailles-FP dataset: Wall Detection in Ancient
Wassim Swaileh
Dimitrios Kotzinos
Suman Ghosh
Michel Jordan
Son Vu
Yaguan Qian
38
7
0
14 Mar 2021
Simpson's Bias in NLP Training
Simpson's Bias in NLP Training
Fei Yuan
Longtu Zhang
Bojun Huang
Yaobo Liang
AI4CE
34
3
0
13 Mar 2021
SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid
  pooling based residual U-Net for automatic liver segmentation in Computed
  Tomography
SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography
Jinke Wang
Peiqing Lv
Haiying Wang
Changfa Shi
SSeg
87
108
0
11 Mar 2021
Are we using appropriate segmentation metrics? Identifying correlates of
  human expert perception for CNN training beyond rolling the DICE coefficient
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
Florian Kofler
Ivan Ezhov
Fabian Isensee
F. Balsiger
Christoph Berger
...
C. Zimmer
D. Ankerst
Jan Kirschke
Benedikt Wiestler
Bjoern Menze
75
52
0
10 Mar 2021
U-Net Transformer: Self and Cross Attention for Medical Image
  Segmentation
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
Olivier Petit
Nicolas Thome
Clément Rambour
L. Soler
ViTMedIm
96
251
0
10 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in
  3D MRI Brain Tumor Segmentation
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
K. R. M. Fernando
Cris P Tsokos
56
53
0
09 Mar 2021
2D histology meets 3D topology: Cytoarchitectonic brain mapping with
  Graph Neural Networks
2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks
Christian Schiffer
Stefan Harmeling
Katrin Amunts
Timo Dickscheid
3DH3DV
86
2
0
09 Mar 2021
Stabilized Medical Image Attacks
Stabilized Medical Image Attacks
Gege Qi
Lijun Gong
Yibing Song
Kai Ma
Yefeng Zheng
OODAAMLMedIm
78
25
0
09 Mar 2021
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang
Jicong Zhang
SSL
112
40
0
08 Mar 2021
Incremental Learning for Multi-organ Segmentation with Partially Labeled
  Datasets
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets
Pengbo Liu
Li Xiao
S. Kevin Zhou
CLL
51
12
0
08 Mar 2021
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
Wenxuan Wang
Chen Chen
Meng Ding
Jiangyun Li
Hong Yu
Sen Zha
ViTMedIm
96
732
0
07 Mar 2021
Morphological Operation Residual Blocks: Enhancing 3D Morphological
  Feature Representation in Convolutional Neural Networks for Semantic
  Segmentation of Medical Images
Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical Images
Chentian Li
Chi Ma
W. Lu
MedIm
44
1
0
06 Mar 2021
Deeply supervised UNet for semantic segmentation to assist
  dermatopathological assessment of Basal Cell Carcinoma (BCC)
Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC)
Jean LeĆlerc Arrastia
Nick Heilenkötter
Daniel Otero Baguer
Lena Hauberg-Lotte
T. Boskamp
Sonja Hetzer
Nicole Duschner
Jörg Schaller
Peter Maass
42
45
0
05 Mar 2021
Semi-supervised Left Atrium Segmentation with Mutual Consistency
  Training
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Yicheng Wu
Minfeng Xu
Z. Ge
Jianfei Cai
Lei Zhang
85
217
0
04 Mar 2021
Learning With Context Feedback Loop for Robust Medical Image
  Segmentation
Learning With Context Feedback Loop for Robust Medical Image Segmentation
K. Girum
G. Créhange
A. Lalande
MedIm
51
39
0
04 Mar 2021
Robust 3D U-Net Segmentation of Macular Holes
Robust 3D U-Net Segmentation of Macular Holes
Jonathan Frawley
Chris G. Willcocks
M. Habib
Caspar Geenen
D. Steel
B. Obara
MedIm3DPC
17
1
0
01 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep
  Network Models
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
Jialin Peng
Ye Wang
VLM
90
60
0
28 Feb 2021
Convolution-Free Medical Image Segmentation using Transformers
Convolution-Free Medical Image Segmentation using Transformers
Davood Karimi
Serge Vasylechko
Ali Gholipour
ViTMedIm
135
124
0
26 Feb 2021
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in
  Multi-Domain Loss Landscapes by Inner-Loop Learning
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning
Anthony Sicilia
Xingchen Zhao
D. Minhas
Erin O'Connor
H. Aizenstein
W. Klunk
D. Tudorascu
Seong Jae Hwang
47
6
0
25 Feb 2021
SCD: A Stacked Carton Dataset for Detection and Segmentation
SCD: A Stacked Carton Dataset for Detection and Segmentation
Jinrong Yang
Shengkai Wu
L. Gou
Hangchen Yu
Chenxi Lin
Jiazhuo Wang
Minxuan Li
Xiaoping Li
61
13
0
25 Feb 2021
Page Layout Analysis System for Unconstrained Historic Documents
Page Layout Analysis System for Unconstrained Historic Documents
O. Kodym
Michal Hradiš
41
22
0
23 Feb 2021
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology
  Analysis to Malignancy Evaluation
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation
Shaohua Zheng
Zhiqiang Shen
Chenhao Pei
Wangbin Ding
Haojin Lin
Jie-xuan Zheng
Lin Pan
Bin Zheng
Liqin Huang
23
25
0
22 Feb 2021
Medical Transformer: Gated Axial-Attention for Medical Image
  Segmentation
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
Jeya Maria Jose Valanarasu
Poojan Oza
Ilker Hacihaliloglu
Vishal M. Patel
ViTMedIm
118
1,003
0
21 Feb 2021
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