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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
Hybrid Tracker with Pixel and Instance for Video Panoptic Segmentation
Hybrid Tracker with Pixel and Instance for Video Panoptic Segmentation
Weicai Ye
Xinyue Lan
Gewei Su
Hujun Bao
Zhaopeng Cui
Guofeng Zhang
VOS
117
3
0
02 Mar 2022
Exploring Smoothness and Class-Separation for Semi-supervised Medical
  Image Segmentation
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation
Yicheng Wu
Zhonghua Wu
Qianyi Wu
Zongyuan Ge
Jianfei Cai
105
146
0
02 Mar 2022
Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images
Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images
Amine Amyar
R. Modzelewski
P. Vera
V. Morard
S. Ruan
MedIm
46
13
0
01 Mar 2022
AGMR-Net: Attention Guided Multiscale Recovery framework for stroke
  segmentation
AGMR-Net: Attention Guided Multiscale Recovery framework for stroke segmentation
Xiuquan Du
Kunpeng Ma
Yuhui Song
57
10
0
28 Feb 2022
Factorizer: A Scalable Interpretable Approach to Context Modeling for
  Medical Image Segmentation
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation
Pooya Ashtari
Diana Sima
L. De Lathauwer
D. Sappey-Marinier
F. Maes
Sabine Van Huffel
ViTMedIm
79
37
0
24 Feb 2022
FreeSOLO: Learning to Segment Objects without Annotations
FreeSOLO: Learning to Segment Objects without Annotations
Xinlong Wang
Zhiding Yu
Shalini De Mello
Jan Kautz
Anima Anandkumar
Chunhua Shen
J. Álvarez
ISegSSeg
99
115
0
24 Feb 2022
Augmentation based unsupervised domain adaptation
Augmentation based unsupervised domain adaptation
Mauricio Orbes-Arteaga
Thomas Varsavsky
Lauge Sørensen
Mads Nielsen
A. Pai
Sebastien Ourselin
Marc Modat
Jorge Cardoso
OOD
42
3
0
23 Feb 2022
RDP-Net: Region Detail Preserving Network for Change Detection
RDP-Net: Region Detail Preserving Network for Change Detection
Hongji Chen
Fangling Pu
Rui Yang
Ruipeng Tang
Xin Xu
98
38
0
20 Feb 2022
A General Deep Learning framework for Neuron Instance Segmentation based
  on Efficient UNet and Morphological Post-processing
A General Deep Learning framework for Neuron Instance Segmentation based on Efficient UNet and Morphological Post-processing
Huaqian Wu
N. Souedet
C. Jan
Cédric Clouchoux
T. Delzescaux
24
16
0
17 Feb 2022
An overview of deep learning in medical imaging
An overview of deep learning in medical imaging
I. Haq
VLM
35
5
0
17 Feb 2022
OpenKBP-Opt: An international and reproducible evaluation of 76
  knowledge-based planning pipelines
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines
A. Babier
Rafid Mahmood
Binghao Zhang
Victor G. L. Alves
A. M. Barragán-Montero
...
L. Zimmermann
K. Moore
T. Purdie
A. McNiven
T. Chan
LM&MA
23
22
0
16 Feb 2022
Cross-Modality Neuroimage Synthesis: A Survey
Cross-Modality Neuroimage Synthesis: A Survey
Guoyang Xie
Yawen Huang
Jin-Bao Wang
Ke Lu
Yefeng Zheng
Feng Zheng
Yaochu Jin
84
7
0
14 Feb 2022
Opinions Vary? Diagnosis First!
Opinions Vary? Diagnosis First!
Junde Wu
Huihui Fang
Dalu Yang
Binghong Wu
Wenshuo Zhou
Fangxin Shang
Yehui Yang
Yanwu Xu
69
3
0
14 Feb 2022
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation
Yang Wu
Minghui Zhang
Weihao Yu
Hao Zheng
Jiasheng Xu
Yun Gu
35
15
0
13 Feb 2022
Semi-supervised Medical Image Segmentation via Geometry-aware
  Consistency Training
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training
Zihang Liu
Chunhui Zhao
49
4
0
12 Feb 2022
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel
  UNet for enhancing super-resolution of dynamic MRI
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI
S. Chatterjee
Chompunuch Sarasaen
G. Rose
A. Nürnberger
Oliver Speck
SupR
61
5
0
10 Feb 2022
Deep Learning for Computational Cytology: A Survey
Deep Learning for Computational Cytology: A Survey
Hao Jiang
Yanning Zhou
Yi Lin
R. Chan
Jiangshu Liu
Hao Chen
92
79
0
10 Feb 2022
A Field of Experts Prior for Adapting Neural Networks at Test Time
A Field of Experts Prior for Adapting Neural Networks at Test Time
Neerav Karani
G. Brunner
Ertunc Erdil
Simin Fei
K. Tezcan
K. Chaitanya
E. Konukoglu
OOD
57
2
0
10 Feb 2022
What's Cracking? A Review and Analysis of Deep Learning Methods for
  Structural Crack Segmentation, Detection and Quantification
What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification
Jacob König
M. Jenkins
M. Mannion
P. Barrie
Gordon Morison
100
14
0
08 Feb 2022
Accurate super-resolution low-field brain MRI
Accurate super-resolution low-field brain MRI
Juan Eugenio Iglesias
Riana L. Schleicher
Sean Laguna
Benjamin Billot
P. Schaefer
Brenna N. Mckaig
J. Goldstein
Kevin N. Sheth
Matthew S. Rosen
W. T. Kimberly
61
6
0
07 Feb 2022
Benchmarking Deep Models for Salient Object Detection
Benchmarking Deep Models for Salient Object Detection
Huajun Zhou
Yang Lin
Lingxiao Yang
Jianhuang Lai
Xiaohua Xie
AAML
53
10
0
07 Feb 2022
A Topology-Attention ConvLSTM Network and Its Application to EM Images
A Topology-Attention ConvLSTM Network and Its Application to EM Images
Jiaqi Yang
Xiaoling Hu
Chao Chen
Chialing Tsai
3DPCMedIm
49
3
0
07 Feb 2022
Hyper-Convolutions via Implicit Kernels for Medical Imaging
Hyper-Convolutions via Implicit Kernels for Medical Imaging
Tianyu Ma
Alan Q. Wang
Adrian Dalca
M. Sabuncu
SSL
72
1
0
06 Feb 2022
Retinal Vessel Segmentation with Pixel-wise Adaptive Filters
Retinal Vessel Segmentation with Pixel-wise Adaptive Filters
Mingxing Li
Shenglong Zhou
Changsheng Chen
Yueyi Zhang
Dong Liu
Zhiwei Xiong
38
15
0
03 Feb 2022
Review of Serial and Parallel Min-Cut/Max-Flow Algorithms for Computer
  Vision
Review of Serial and Parallel Min-Cut/Max-Flow Algorithms for Computer Vision
Patrick M. Jensen
N. Jeppesen
A. Dahl
Vedrana Andersen Dahl
54
8
0
01 Feb 2022
Lymphoma segmentation from 3D PET-CT images using a deep evidential
  network
Lymphoma segmentation from 3D PET-CT images using a deep evidential network
Ling Huang
S. Ruan
P. Decazes
Thierry Denoeux
3DPCMedIm
123
40
0
31 Jan 2022
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of
  Medical Images
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images
Jiangyun Li
Wenxuan Wang
Chen Chen
Tianxiang Zhang
Sen Zha
Jing Wang
Hong Yu
ViTMedIm
115
25
0
30 Jan 2022
Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea
  Segmentation via Semi-supervised Learning and Label Fusion
Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion
Han Liu
Yubo Fan
C. Cui
Dingjie Su
A. McNeil
Benoit M. Dawant
83
5
0
25 Jan 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
Fahad Shahbaz Khan
Huazhu Fu
ViTLM&MAMedIm
195
703
0
24 Jan 2022
Describe me if you can! Characterized Instance-level Human Parsing
Describe me if you can! Characterized Instance-level Human Parsing
Angélique Loesch
Romaric Audigier
80
7
0
24 Jan 2022
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the
  Network Uncertainty in Deep MR Image Analysis
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis
Qing Lyu
C. Whitlow
Ge Wang
UQCVBDL
74
2
0
20 Jan 2022
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in
  Electron Tomography of Catalytic Materials
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials
A. Genç
L. Kovarik
H. Fraser
72
16
0
18 Jan 2022
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical
  Segmentation on Less Labeled Data
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data
Minh-Khoi Tran
Loi Ly
Binh-Son Hua
Ngan Le
3DPCMedIm
74
17
0
15 Jan 2022
Pyramid Fusion Transformer for Semantic Segmentation
Pyramid Fusion Transformer for Semantic Segmentation
Zipeng Qin
Jianbo Liu
Xiaoling Zhang
Maoqing Tian
Aojun Zhou
Shuai Yi
Hongsheng Li
ViT
86
16
0
11 Jan 2022
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution
  to BraTS Challenge 2021 Segmentation Task
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task
Himashi Peiris
Zhaolin Chen
Gary Egan
Mehrtash Harandi
37
34
0
11 Jan 2022
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's
  Correlation Coefficient
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient
Ken C. L. Wong
Mehdi Moradi
3DPCMedIm
34
4
0
10 Jan 2022
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Dingwen Zhang
Guohai Huang
Qiang Zhang
Jungong Han
Junwei Han
Yizhou Yu
79
220
0
07 Jan 2022
Tackling the Class Imbalance Problem of Deep Learning Based Head and
  Neck Organ Segmentation
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation
Elias Tappeiner
M. Welk
R. Schubert
SSegAI4CE
49
16
0
05 Jan 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors
  in MRI Images
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh
V. Nath
Yucheng Tang
Dong Yang
H. Roth
Daguang Xu
ViTMedIm
126
1,146
0
04 Jan 2022
External Attention Assisted Multi-Phase Splenic Vascular Injury
  Segmentation with Limited Data
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data
Yuyin Zhou
D. Dreizin
Yan Wang
Fengze Liu
Wei Shen
Alan Yuille
61
16
0
04 Jan 2022
Language as Queries for Referring Video Object Segmentation
Language as Queries for Referring Video Object Segmentation
Jiannan Wu
Yi Jiang
Pei Sun
Zehuan Yuan
Ping Luo
71
153
0
03 Jan 2022
D-Former: A U-shaped Dilated Transformer for 3D Medical Image
  Segmentation
D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation
YiXuan Wu
Kuan-Yu Liao
Jintai Chen
Jinhong Wang
Danny Chen
Honghao Gao
Jian Wu
ViTMedIm
87
116
0
03 Jan 2022
Recurrent Feature Propagation and Edge Skip-Connections for Automatic
  Abdominal Organ Segmentation
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation
Zefan Yang
Di Lin
Dong Ni
Yi Wang
MedIm
57
7
0
02 Jan 2022
DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant
  Brain Image Segmentation
DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation
Dinh-Hieu Hoang
Gia-Han Diep
Minh-Triet Tran
Ngan T. H Le
62
8
0
27 Dec 2021
Generalized Wasserstein Dice Loss, Test-time Augmentation, and
  Transformers for the BraTS 2021 challenge
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge
Lucas Fidon
Suprosanna Shit
Ivan Ezhov
Johannes C. Paetzold
Sébastien Ourselin
Tom Vercauteren
ViTMedIm
64
9
0
24 Dec 2021
Maximum Entropy on Erroneous Predictions (MEEP): Improving model
  calibration for medical image segmentation
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation
Agostina J. Larrazabal
Cesar E. Martínez
Jose Dolz
Enzo Ferrante
93
15
0
22 Dec 2021
Scaling Open-Vocabulary Image Segmentation with Image-Level Labels
Scaling Open-Vocabulary Image Segmentation with Image-Level Labels
Golnaz Ghiasi
Xiuye Gu
Huayu Chen
Nayeon Lee
VLM
133
387
0
22 Dec 2021
Generalizable Cross-modality Medical Image Segmentation via Style
  Augmentation and Dual Normalization
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization
Ziqi Zhou
Lei Qi
Xin Yang
Dong Ni
Yinghuan Shi
OODMedIm
62
59
0
21 Dec 2021
Leveraging Image Complexity in Macro-Level Neural Network Design for
  Medical Image Segmentation
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation
T. M. Khan
Syed S. Naqvi
Erik H. W. Meijering
SSeg
96
25
0
21 Dec 2021
SOIT: Segmenting Objects with Instance-Aware Transformers
SOIT: Segmenting Objects with Instance-Aware Transformers
Xiaodong Yu
Dahu Shi
Xing Wei
Ye Ren
Ting Ye
Wenming Tan
ViT
102
27
0
21 Dec 2021
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