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Automated brain extraction of multi-sequence MRI using artificial neural
  networks

Automated brain extraction of multi-sequence MRI using artificial neural networks

31 January 2019
Fabian Isensee
Marianne Schell
I. Tursunova
G. Brugnara
D. Bonekamp
U. Neuberger
A. Wick
H. Schlemmer
S. Heiland
Wolfgang Wick
Martin Bendszus
Klaus Hermann Maier-Hein
Philipp Kickingereder
ArXivPDFHTML

Papers citing "Automated brain extraction of multi-sequence MRI using artificial neural networks"

17 / 17 papers shown
Title
Skull stripping with purely synthetic data
Skull stripping with purely synthetic data
Jong Sung Park
Juhyung Ha
Siddhesh P. Thakur
Alexandra Badea
Spyridon Bakas
Eleftherios Garyfallidis
31
0
0
12 May 2025
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
F. Behrendt
Debayan Bhattacharya
R. Mieling
Lennart Maack
Julia Kruger
R. Opfer
Alexander Schlaefer
DiffM
MedIm
14
10
0
07 Dec 2023
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative
  Global Transformer Model
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model
Dayang Wang
Srivathsa Pasumarthi
Greg Zaharchuk
R. Chamberlain
MedIm
18
1
0
22 Jul 2023
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis
  Lesion Segmentation
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation
Yicheng Wu
Zhonghua Wu
Hengcan Shi
Bjoern Picker
W. Chong
Jianfei Cai
OOD
24
5
0
10 Jul 2023
Synthesizing PET images from High-field and Ultra-high-field MR images
  Using Joint Diffusion Attention Model
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model
Taofeng Xie
Chentao Cao
Zhuoxu Cui
Yu Guo
Caiying Wu
...
Dong Liang
Qiyu Jin
Hongwu Zeng
Guoqing Chen
Haifeng Wang
DiffM
MedIm
28
9
0
06 May 2023
JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images
JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images
Natalia Valderrama
Ioannis Pitsiorlas
Luisa Vargas
Pablo Arbelaez
Maria A. Zuluaga
21
2
0
16 Apr 2023
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models
  with Uncertain, Small or Empty Reference Annotations
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations
Sophie Ostmeier
Brian Axelrod
J. Bertels
Fabian Isensee
Maarten G.Lansberg
Soren Christensen
G. Albers
Li-Jia Li
J. Heit
13
11
0
26 Sep 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
A. Malinin
A. Athanasopoulos
M. Barakovic
Meritxell Bach Cuadra
Mark J. F. Gales
...
Francesco La Rosa
Eli Sivena
V. Tsarsitalidis
Efi Tsompopoulou
E. Volf
OOD
22
28
0
30 Jun 2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion
  segmentation dataset
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
M. H. Petzsche
Ezequiel de la Rosa
U. Hanning
Roland Wiest
Waldo Enrique Valenzuela Pinilla
...
T. Boeckh-Behrens
M. Berndt
B. Ikenberg
Benedikt Wiestler
Jan S. Kirschke
OOD
20
114
0
14 Jun 2022
EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain
  Extraction
EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction
Jong Sung Park
S. Fadnavis
Eleftherios Garyfallidis
34
0
0
06 Jun 2022
k-strip: A novel segmentation algorithm in k-space for the application
  of skull stripping
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Moritz Rempe
F. Mentzel
Kelsey L. Pomykala
Johannes Haubold
F. Nensa
K. Kröninger
Jan Egger
Jens Kleesiek
24
8
0
19 May 2022
Continual Learning for Peer-to-Peer Federated Learning: A Study on
  Automated Brain Metastasis Identification
Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification
Yixing Huang
Christoph Bert
Stefan Fischer
Manuel Schmidt
Arnd Dörfler
Andreas K. Maier
R. Fietkau
F. Putz
FedML
CLL
OOD
MedIm
17
17
0
26 Apr 2022
Negligible effect of brain MRI data preprocessing for tumor segmentation
Negligible effect of brain MRI data preprocessing for tumor segmentation
E. Kondrateva
Polina Druzhinina
A. Dalechina
S. Zolotova
A. Golanov
B. Shirokikh
Mikhail Belyaev
Anvar Kurmukov
20
3
0
11 Apr 2022
Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging
  data using 3D Convolutional Neural Networks
Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks
L. Fisch
J. Ernsting
N. Winter
V. Holstein
Ramona Leenings
...
T. Kircher
Benjamin Risse
U. Dannlowski
Klaus Berger
Tim Hahn
MedIm
15
12
0
22 Mar 2021
Evaluating glioma growth predictions as a forward ranking problem
Evaluating glioma growth predictions as a forward ranking problem
Karin A. van Garderen
S. V. D. Voort
M. Wijnenga
Fatih Incekara
G. Kapsas
R. Gahrmann
Ahmad Alafandi
M. Smits
S. Klein
17
1
0
22 Mar 2021
Test-time Unsupervised Domain Adaptation
Test-time Unsupervised Domain Adaptation
Thomas Varsavsky
Mauricio Orbes-Arteaga
Carole H. Sudre
M. Graham
P. Nachev
M. Jorge Cardoso
OOD
19
55
0
05 Oct 2020
Fully-automated deep learning-powered system for DCE-MRI analysis of
  brain tumors
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors
J. Nalepa
P. R. Lorenzo
Michal Marcinkiewicz
B. Bobek-Billewicz
P. Wawrzyniak
...
M. Kawulok
Wojciech Dudzik
Grzegorz Mrukwa
Pawel Ulrych
M. P. Hayball
18
47
0
18 Jul 2019
1