ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1702.08192
  4. Cited By
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy

DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy

27 February 2017
Christian Wachinger
M. Reuter
T. Klein
    3DV
ArXivPDFHTML

Papers citing "DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy"

28 / 78 papers shown
Title
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation
Yuemeng Li
Hangfan Liu
Hongming Li
Yong-Xian Fan
MedIm
18
1
0
07 May 2019
3D Whole Brain Segmentation using Spatially Localized Atlas Network
  Tiles
3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles
Yuankai Huo
Zhoubing Xu
Yunxi Xiong
Katherine Aboud
P. Parvathaneni
Shunxing Bao
Camilo Bermudez
Susan M. Resnick
L. Cutting
Bennett A. Landman
22
247
0
28 Mar 2019
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical
  Segmentation
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
Adrian V. Dalca
John Guttag
M. Sabuncu
MedIm
SSeg
30
146
0
07 Mar 2019
Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of
  Uncertainty via Bayesian Fully Convolutional Neural Network
Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network
Yilin Liu
Gengyan Zhao
Brendon M. Nacewicz
N. Adluru
Gregory R. Kirk
P. Ferrazzano
Martin Styner
Andrew L. Alexander
13
6
0
19 Feb 2019
Extended 2D Consensus Hippocampus Segmentation
Extended 2D Consensus Hippocampus Segmentation
Diedre Carmo
Bruna Silva
C. Yasuda
Letícia Rittner
R. Lotufo
17
6
0
12 Feb 2019
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis
  using deep neural networks
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks
Richard McKinley
Rik Wepfer
F. Aschwanden
L. Grunder
Raphaela Muri
...
M. Reyes
A. Salmen
A. Chan
F. Wagner
Roland Wiest
14
15
0
22 Jan 2019
PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation
PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation
Amod Jog
Andrew Hoopes
Douglas N. Greve
Koen van Leemput
Bruce Fischl
OOD
13
34
0
17 Jan 2019
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across
  Clinical Magnetic Resonance Imaging Protocols
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols
Yunxi Xiong
Yuankai Huo
Jiachen Wang
L. Davis
M. McHugo
Bennett A. Landman
11
12
0
07 Jan 2019
Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A
  Review
Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review
Juan J. Cerrolaza
M. L. Picazo
L. Humbert
Yoshinobu Sato
Daniel Rueckert
M. A. G. Ballester
M. Linguraru
AI4CE
20
68
0
20 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
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation
  for Structure-wise Quality Control
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control
Abhijit Guha Roy
Sailesh Conjeti
Nassir Navab
Christian Wachinger
UQCV
17
119
0
24 Nov 2018
An End-to-end Approach to Semantic Segmentation with 3D CNN and
  Posterior-CRF in Medical Images
An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images
Shuai Chen
Marleen de Bruijne
MedIm
12
11
0
08 Nov 2018
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation
Shubham Kumar
Sailesh Conjeti
Abhijit Guha Roy
Christian Wachinger
Nassir Navab
6
15
0
11 Oct 2018
Extreme Augmentation : Can deep learning based medical image
  segmentation be trained using a single manually delineated scan?
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?
Bilwaj Gaonkar
Matthew Edwards
Alex A. T. Bui
Matthew A. Brown
Luke Macyszyn
18
7
0
03 Oct 2018
Exclusive Independent Probability Estimation using Deep 3D Fully
  Convolutional DenseNets: Application to IsoIntense Infant Brain MRI
  Segmentation
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation
Seyed Raein Hashemi
S. Prabhu
Simon K. Warfield
Ali Gholipour
3DV
24
6
0
21 Sep 2018
Pulse Sequence Resilient Fast Brain Segmentation
Pulse Sequence Resilient Fast Brain Segmentation
Amod Jog
Bruce Fischl
OOD
14
16
0
30 Jul 2018
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain
  Segmentation from Limited Data
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data
Yuankai Huo
Zhoubing Xu
Katherine Aboud
P. Parvathaneni
Shunxing Bao
Camilo Bermudez
Susan M. Resnick
L. Cutting
Bennett A. Landman
22
33
0
01 Jun 2018
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly
  Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis
  Lesion Detection
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection
Seyed Raein Hashemi
Seyed Sadegh Mohseni Salehi
Deniz Erdogmus
S. Prabhu
Simon K. Warfield
Ali Gholipour
MedIm
16
163
0
28 Mar 2018
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully
  Convolutional Neural Networks
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks
Snehashis Roy
J. Butman
D. Reich
P. Calabresi
D. L. Pham
MedIm
8
86
0
24 Mar 2018
Deep learning in radiology: an overview of the concepts and a survey of
  the state of the art
Deep learning in radiology: an overview of the concepts and a survey of the state of the art
Maciej Mazurowski
Mateusz Buda
Ashirbani Saha
Mustafa R. Bashir
MedIm
AI4CE
21
429
0
10 Feb 2018
QuickNAT: A Fully Convolutional Network for Quick and Accurate
  Segmentation of Neuroanatomy
QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy
Abhijit Guha Roy
Sailesh Conjeti
Nassir Navab
Christian Wachinger
35
222
0
12 Jan 2018
Deep convolutional neural networks for brain image analysis on magnetic
  resonance imaging: a review
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
J. Bernal
Kaisar Kushibar
Daniel S. Asfaw
Sergi Valverde
A. Oliver
Robert Martí
Xavier Llado
14
348
0
11 Dec 2017
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Heran Yang
Jian Sun
Huibin Li
Lisheng Wang
Zongben Xu
10
27
0
27 Sep 2017
Automated sub-cortical brain structure segmentation combining spatial
  and deep convolutional features
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features
Kaisar Kushibar
Sergi Valverde
Sandra González-Villá
J. Bernal
Mariano Cabezas
A. Oliver
Xavier Llado
23
107
0
26 Sep 2017
Tversky loss function for image segmentation using 3D fully
  convolutional deep networks
Tversky loss function for image segmentation using 3D fully convolutional deep networks
S. Salehi
Deniz Erdogmus
Ali Gholipour
MedIm
9
823
0
18 Jun 2017
Error Corrective Boosting for Learning Fully Convolutional Networks with
  Limited Data
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data
Abhijit Guha Roy
Sailesh Conjeti
Debdoot Sheet
A. Katouzian
Nassir Navab
Christian Wachinger
11
97
0
02 May 2017
Segmentation of the Proximal Femur from MR Images using Deep
  Convolutional Neural Networks
Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
Cem M. Deniz
Siyuan Xiang
S. Hallyburton
A. Welbeck
James S. Babb
S. Honig
Kyunghyun Cho
G. Chang
10
147
0
20 Apr 2017
Auto-context Convolutional Neural Network (Auto-Net) for Brain
  Extraction in Magnetic Resonance Imaging
Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging
S. Salehi
Deniz Erdogmus
Ali Gholipour
3DV
13
6
0
06 Mar 2017
Previous
12