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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"

50 / 78 papers shown
Title
Explaining the Success of Nearest Neighbor Methods in Prediction
George H. Chen
Devavrat Shah
OOD
53
145
0
21 Feb 2025
AI for the prediction of early stages of Alzheimer's disease from
  neuroimaging biomarkers -- A narrative review of a growing field
AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers -- A narrative review of a growing field
Thorsten Rudroff
O. Rainio
R. Klén
36
8
0
25 Jun 2024
Label merge-and-split: A graph-colouring approach for memory-efficient
  brain parcellation
Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation
A. Kujawa
R. Dorent
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
VLM
23
0
0
16 Apr 2024
Neural deformation fields for template-based reconstruction of cortical
  surfaces from MRI
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI
Fabian Bongratz
Anne-Marie Rickmann
Christian Wachinger
27
11
0
23 Jan 2024
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI
Marina Ruiz-Perez
Sergio Morell-Ortega
Marien Gadea
Roberto Vivó Hernando
Gregorio Rubio
F. Aparici-Robles
M. Iglesia-Vayá
T. Tourdias
Pierrick Coupé
J. V. Manjón
14
0
0
15 Jan 2024
VINNA for Neonates -- Orientation Independence through Latent
  Augmentations
VINNA for Neonates -- Orientation Independence through Latent Augmentations
Leonie Henschel
David Kügler
Lilla Zöllei
Martin Reuter
37
2
0
29 Nov 2023
Enhancing Hierarchical Transformers for Whole Brain Segmentation with
  Intracranial Measurements Integration
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration
Xin Yu
Yucheng Tang
Qi Yang
Ho Hin Lee
Shunxing Bao
Yuankai Huo
Bennett A. Landman
14
1
0
08 Sep 2023
Domain-agnostic segmentation of thalamic nuclei from joint structural
  and diffusion MRI
Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI
Henry F. J. Tregidgo
Sonja Soskic
Mark Olchanyi
Juri Althonayan
Benjamin Billot
...
A. Yendiki
Daniel C. Alexander
Martina Bocchetta
J. Rohrer
Juan Eugenio Iglesias
MedIm
14
4
0
05 May 2023
Neuralizer: General Neuroimage Analysis without Re-Training
Neuralizer: General Neuroimage Analysis without Re-Training
Steffen Czolbe
H. Dickinson
OOD
38
12
0
04 May 2023
Automated computed tomography and magnetic resonance imaging
  segmentation using deep learning: a beginner's guide
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide
Diedre Carmo
G. Pinheiro
Lívia Rodrigues
Thays Abreu
R. Lotufo
Letícia Rittner
OOD
40
4
0
12 Apr 2023
Fighting the scanner effect in brain MRI segmentation with a progressive
  level-of-detail network trained on multi-site data
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data
M. Svanera
Mattia Savardi
A. Signoroni
Sergio Benini
L. Muckli
19
3
0
04 Nov 2022
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial
  Intelligence Developed for Brain
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain
Mostafa Mehdipour-Ghazi
Mads Nielsen
OOD
22
11
0
30 Aug 2022
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling
Chengliang Dai
Shuo Wang
Yuanhan Mo
Elsa D. Angelini
Yike Guo
Wenjia Bai
DiffM
MedIm
17
10
0
02 Jun 2022
FastSurferVINN: Building Resolution-Independence into Deep Learning
  Segmentation Methods -- A Solution for HighRes Brain MRI
FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI
Leonie Henschel
David Kügler
M. Reuter
30
41
0
17 Dec 2021
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior
  Predictive Checks with Deep Learning
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning
Achintya Gopal
UQCV
28
1
0
02 Dec 2021
Factorisation-based Image Labelling
Factorisation-based Image Labelling
Yu-ji Yan
Yael Balbastre
Mikael Brudfors
John Ashburner
MedIm
DiffM
6
6
0
19 Nov 2021
Whole Brain Segmentation with Full Volume Neural Network
Whole Brain Segmentation with Full Volume Neural Network
Yeshu Li
Jianwei Cui
Yilun Sheng
Xiao Liang
Jingdong Wang
E. Chang
Yan Xu
29
11
0
29 Oct 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
32
41
0
07 Jul 2021
Longitudinal Quantitative Assessment of COVID-19 Infection Progression
  from Chest CTs
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
S. T. Kim
Leili Goli
Magdalini Paschali
Ashkan Khakzar
Matthias Keicher
Tobias Czempiel
E. Burian
R. Braren
Nassir Navab
T. Wendler
11
7
0
12 Mar 2021
A survey on shape-constraint deep learning for medical image
  segmentation
A survey on shape-constraint deep learning for medical image segmentation
Simon Bohlender
Ilkay Oksuz
Anirban Mukhopadhyay
3DV
21
34
0
19 Jan 2021
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of
  Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction
A. Saha
M. Hosseinzadeh
Henkjan Huisman
MedIm
40
129
0
08 Jan 2021
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes
  from clinical MRI exams with scans of different orientation, resolution and
  contrast
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast
Juan Eugenio Iglesias
Benjamin Billot
Yael Balbastre
A. Tabari
J. Conklin
Daniel C. Alexander
Polina Golland
B. Edlow
Bruce Fischl
42
100
0
24 Dec 2020
Encoding Clinical Priori in 3D Convolutional Neural Networks for
  Prostate Cancer Detection in bpMRI
Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI
A. Saha
M. Hosseinzadeh
Henkjan Huisman
MedIm
11
8
0
31 Oct 2020
Does anatomical contextual information improve 3D U-Net based brain
  tumor segmentation?
Does anatomical contextual information improve 3D U-Net based brain tumor segmentation?
Iulian Emil Tampu
Neda Haj-Hosseini
Anders Eklund
38
9
0
26 Oct 2020
Influence of segmentation accuracy in structural MR head scans on
  electric field computation for TMS and tES
Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES
E. Rashed
J. Gómez-Tames
A. Hirata
13
10
0
25 Sep 2020
Multi-modal segmentation of 3D brain scans using neural networks
Multi-modal segmentation of 3D brain scans using neural networks
Jonathan Zopes
Moritz Platscher
S. Paganucci
C. Federau
13
11
0
11 Aug 2020
Automated Claustrum Segmentation in Human Brain MRI Using Deep Learning
Automated Claustrum Segmentation in Human Brain MRI Using Deep Learning
Hongwei Bran Li
A. Menegaux
B. Schmitz-Koep
Antonia Neubauer
Felix J. B. Bäuerlein
Suprosanna Shit
C. Sorg
Bjoern H. Menze
D. Hedderich
19
20
0
08 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology
  trends, case studies with progress highlights, and future promises
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
43
624
0
02 Aug 2020
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with
  Denoising Autoencoders
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders
Agostina J. Larrazabal
Cesar E. Martínez
Ben Glocker
Enzo Ferrante
24
65
0
24 Jun 2020
Bayesian convolutional neural network based MRI brain extraction on
  nonhuman primates
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates
Gengyan Zhao
Fang Liu
J. Oler
M. Meyerand
N. Kalin
R. Birn
20
63
0
18 May 2020
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis
  Lesion Segmentation
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation
Stefan Denner
Ashkan Khakzar
Moiz Sajid
Mahdi Saleh
Žiga Špiclin
S. T. Kim
Nassir Navab
13
20
0
07 Apr 2020
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for
  Robust Segmentation
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation
Qian Yu
Yinghuan Shi
Yefeng Zheng
Yang Gao
Jianbing Zhu
Yakang Dai
MedIm
11
0
0
03 Apr 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
38
120
0
26 Mar 2020
Recalibrating 3D ConvNets with Project & Excite
Recalibrating 3D ConvNets with Project & Excite
Anne-Marie Rickmann
Abhijit Guha Roy
Ignacio Sarasua
Christian Wachinger
3DPC
21
17
0
25 Feb 2020
Development of accurate human head models for personalized
  electromagnetic dosimetry using deep learning
Development of accurate human head models for personalized electromagnetic dosimetry using deep learning
E. Rashed
J. Gómez-Tames
A. Hirata
MedIm
4
26
0
21 Feb 2020
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy
  Segmentation
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation
Yuemeng Li
Hongming Li
Yong-Xian Fan
3DPC
27
27
0
13 Feb 2020
End-to-end semantic segmentation of personalized deep brain structures
  for non-invasive brain stimulation
End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation
E. Rashed
J. Gómez-Tames
A. Hirata
11
26
0
13 Feb 2020
Hippocampus Segmentation on Epilepsy and Alzheimer's Disease Studies
  with Multiple Convolutional Neural Networks
Hippocampus Segmentation on Epilepsy and Alzheimer's Disease Studies with Multiple Convolutional Neural Networks
Diedre Carmo
Bruna Silva
C. Yasuda
Letícia Rittner
R. Lotufo
17
45
0
14 Jan 2020
Learnable Pooling in Graph Convolution Networks for Brain Surface
  Analysis
Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis
Karthik Gopinath
Christian Desrosiers
H. Lombaert
17
25
0
22 Nov 2019
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI
  Segmentation
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Pierrick Coupé
Boris Mansencal
Michael Clement
Rémi Giraud
B. D. D. Senneville
T. Thong
Vincent Lepetit
J. V. Manjón
22
109
0
20 Nov 2019
DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
Aakash Kaku
Chaitra V. Hegde
Jeffrey R. Huang
Sohae Chung
X. Wang
Matthew Young
A. Radmanesh
Yvonne W. Lui
N. Razavian
8
20
0
13 Nov 2019
ErrorNet: Learning error representations from limited data to improve
  vascular segmentation
ErrorNet: Learning error representations from limited data to improve vascular segmentation
Nima Tajbakhsh
B. Lai
Shilpa P. Ananth
Xiaowei Ding
MedIm
26
16
0
10 Oct 2019
FastSurfer -- A fast and accurate deep learning based neuroimaging
  pipeline
FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline
Leonie Henschel
Sailesh Conjeti
Santiago Estrada
K. Diers
Bruce Fischl
M. Reuter
MedIm
28
384
0
09 Oct 2019
An Investigation of Quantum Deep Clustering Framework with Quantum Deep
  SVM & Convolutional Neural Network Feature Extractor
An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor
Arit Kumar Bishwas
Ashish Mani
Vasile Palade
19
1
0
21 Sep 2019
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for
  weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner
  MRI
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI
Dennis Bontempi
Sergio Benini
A. Signoroni
M. Svanera
L. Muckli
3DV
11
27
0
11 Sep 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
16
750
0
27 Aug 2019
Bayesian Generative Models for Knowledge Transfer in MRI Semantic
  Segmentation Problems
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
MedIm
23
19
0
15 Aug 2019
FD-FCN: 3D Fully Dense and Fully Convolutional Network for Semantic
  Segmentation of Brain Anatomy
FD-FCN: 3D Fully Dense and Fully Convolutional Network for Semantic Segmentation of Brain Anatomy
Binbin Yang
Weiwei Zhang
MedIm
3DV
11
8
0
22 Jul 2019
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI
  Segmentation
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
Pierrick Coupé
Boris Mansencal
Michael Clement
Rémi Giraud
B. D. D. Senneville
T. Thong
Vincent Lepetit
J. V. Manjón
17
17
0
05 Jun 2019
Segmentation of MRI head anatomy using deep volumetric networks and
  multiple spatial priors
Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priors
Lukas Hirsch
Yu Huang
Lucas C. Parra
MedIm
17
7
0
24 May 2019
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