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NiftyNet: a deep-learning platform for medical imaging

NiftyNet: a deep-learning platform for medical imaging

11 September 2017
Eli Gibson
Wenqi Li
Carole Sudre
Lucas Fidon
D. I. Shakir
Guotai Wang
Zach Eaton-Rosen
Robert J. Gray
T. Doel
Yipeng Hu
Tom Whyntie
P. Nachev
Marc Modat
D. Barratt
Sébastien Ourselin
M. Jorge Cardoso
Tom Vercauteren
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Papers citing "NiftyNet: a deep-learning platform for medical imaging"

46 / 46 papers shown
Title
An overview of open source Deep Learning-based libraries for
  Neuroscience
An overview of open source Deep Learning-based libraries for Neuroscience
Louis Fabrice Tshimanga
Manfredo Atzori
Federico Del Pup
M. Corbetta
OOD
25
4
0
19 Dec 2022
Joint Self-Supervised Image-Volume Representation Learning with
  Intra-Inter Contrastive Clustering
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering
D. M. Nguyen
Hoangvu Nguyen
M. T. N. Truong
T. Cao
Binh Duc Nguyen
Nhat Ho
Paul Swoboda
Shadi Albarqouni
P. Xie
Daniel Sonntag
SSL
24
21
0
04 Dec 2022
MONAI: An open-source framework for deep learning in healthcare
MONAI: An open-source framework for deep learning in healthcare
M. Jorge Cardoso
Wenqi Li
Richard Brown
Nic Ma
E. Kerfoot
...
Klaus H. Maier-Hein
S. Aylward
Prerna Dogra
Sebastien Ourselin
Andrew Feng
48
482
0
04 Nov 2022
Integrative Imaging Informatics for Cancer Research: Workflow Automation
  for Neuro-oncology (I3CR-WANO)
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)
Satrajit Chakrabarty
S. A. Abidi
Mina S. Mousa
Mahati Mokkarala
Isabelle Hren
...
Yuzhuo Su
Sherry Thorpe
Caroline Chung
Aristeidis Sotiras
Daniel S. Marcus
30
8
0
06 Oct 2022
Exploration of Various Deep Learning Models for Increased Accuracy in
  Automatic Polyp Detection
Exploration of Various Deep Learning Models for Increased Accuracy in Automatic Polyp Detection
Ariel E. Isidro
Arnel C. Fajardo
Alexander A. Hernandez
MedIm
16
0
0
04 Mar 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
27
3
0
23 Feb 2022
Generation of microbial colonies dataset with deep learning style
  transfer
Generation of microbial colonies dataset with deep learning style transfer
J. Pawlowski
Sylwia Majchrowska
Tomasz Golan
22
22
0
06 Nov 2021
Interactive Segmentation via Deep Learning and B-Spline Explicit Active
  Surfaces
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces
Helena Williams
J. Pedrosa
L. Cattani
S. Housmans
Tom Kamiel Magda Vercauteren
Jan Deprest
Jan D'hooge
16
7
0
25 Oct 2021
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation
Richard Shaw
Carole H. Sudre
Sebastien Ourselin
M. Jorge Cardoso
H. Pemberton
UQCV
27
5
0
06 Sep 2021
spectrai: A deep learning framework for spectral data
spectrai: A deep learning framework for spectral data
C. Horgan
Mads S. Bergholt
VLM
21
4
0
17 Aug 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
572
0
27 May 2021
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
E. Jun
Seungwoo Jeong
Da-Woon Heo
Heung-Il Suk
ViT
MedIm
40
42
0
28 Apr 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical
  Imaging: A Review
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review
Mingquan Lin
Jacob F. Wynne
Y. Lei
Tonghe Wang
W. Curran
Tian Liu
Xiaofeng Yang
35
24
0
25 Mar 2021
Learning Multi-Modal Volumetric Prostate Registration with Weak
  Inter-Subject Spatial Correspondence
Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence
Oleksii Bashkanov
Anneke Meyer
D. Schindele
M. Schostak
Klaus D. Tönnies
C. Hansen
Marko Rak
14
7
0
09 Feb 2021
SoftSeg: Advantages of soft versus binary training for image
  segmentation
SoftSeg: Advantages of soft versus binary training for image segmentation
C. Gros
A. Lemay
Julien Cohen-Adad
33
70
0
18 Nov 2020
w-Net: Dual Supervised Medical Image Segmentation Model with
  Multi-Dimensional Attention and Cascade Multi-Scale Convolution
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution
Bo Wang
Lei Wang
Junyang Chen
Zhenghua Xu
Thomas Lukasiewicz
Zhigang Fu
35
7
0
15 Nov 2020
DeepReg: a deep learning toolkit for medical image registration
DeepReg: a deep learning toolkit for medical image registration
Yunguan Fu
N. M. Brown
Shaheer U. Saeed
Adrià Casamitjana
Zachary Michael Cieman Baum
...
E. Bonmati
Daniel C. Alexander
Matthew J. Clarkson
Tom Kamiel Magda Vercauteren
Yipeng Hu
VLM
MedIm
19
32
0
04 Nov 2020
Generalized Wasserstein Dice Score, Distributionally Robust Deep
  Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
Lucas Fidon
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
OOD
MedIm
24
41
0
03 Nov 2020
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone
  Segmentation in Upper Bodies
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
Eva Schnider
Antal Huck-Horváth
G. Rauter
A. Zam
M. Müller-Gerbl
Philippe C. Cattin
19
10
0
14 Oct 2020
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
Learning Semantics-enriched Representation via Self-discovery,
  Self-classification, and Self-restoration
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
F. Haghighi
M. Taher
Zongwei Zhou
Michael B. Gotway
Jianming Liang
MedIm
21
65
0
14 Jul 2020
SenseCare: A Research Platform for Medical Image Informatics and
  Interactive 3D Visualization
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization
Qi Duan
Guotai Wang
Rui Wang
Chaohao Fu
Xinjun Li
...
Xinglong Liu
Qing Xia
Zhiqiang Hu
Ning Huang
Shaoting Zhang
40
18
0
03 Apr 2020
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedIm
LM&MA
144
427
0
09 Mar 2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur
N. Gezer
M. Baris
Sinem Aslan
Pierre-Henri Conze
...
Klaus H. Maier-Hein
G. Akar
Gözde B. Ünal
O. Dicle
M. Alper Selver
50
611
0
17 Jan 2020
A$^3$DSegNet: Anatomy-aware artifact disentanglement and segmentation
  network for unpaired segmentation, artifact reduction, and modality
  translation
A3^33DSegNet: Anatomy-aware artifact disentanglement and segmentation network for unpaired segmentation, artifact reduction, and modality translation
Y. Lyu
Haofu Liao
Heqin Zhu
S. Kevin Zhou
MedIm
22
4
0
02 Jan 2020
IrisNet: Deep Learning for Automatic and Real-time Tongue Contour
  Tracking in Ultrasound Video Data using Peripheral Vision
IrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision
Mohammad Mozaffari
Md. Aminur Rab Ratul
Won-Sook Lee
28
2
0
10 Nov 2019
MIScnn: A Framework for Medical Image Segmentation with Convolutional
  Neural Networks and Deep Learning
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Dominik Muller
Frank Kramer
20
117
0
21 Oct 2019
CompareNet: Anatomical Segmentation Network with Deep Non-local Label
  Fusion
CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion
Yuan Liang
Weinan Song
J. Dym
Kun Wang
Lei He
3DPC
28
6
0
10 Oct 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and
  Generalist Convolution Kernels
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
Felix J. S. Bragman
Ryutaro Tanno
Sebastien Ourselin
Daniel C. Alexander
M. Jorge Cardoso
24
86
0
26 Aug 2019
Multi-Domain Adaptation in Brain MRI through Paired Consistency and
  Adversarial Learning
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning
Mauricio Orbes-Arteaga
Thomas Varsavsky
Carole H. Sudre
Zach Eaton-Rosen
Lewis J. Haddow
...
A. Pai
Sébastien Ourselin
Marc Modat
P. Nachev
M. Jorge Cardoso
OOD
17
40
0
16 Aug 2019
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion
  and Segmentation
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation
R. Dorent
Samuel Joutard
Marc Modat
Sébastien Ourselin
Tom Kamiel Magda Vercauteren
MedIm
33
117
0
25 Jul 2019
Conditional Segmentation in Lieu of Image Registration
Conditional Segmentation in Lieu of Image Registration
Yipeng Hu
Eli Gibson
D. Barratt
M. Emberton
J. A. Noble
Tom Kamiel Magda Vercauteren
32
22
0
30 Jun 2019
Brain MR Image Segmentation in Small Dataset with Adversarial Defense
  and Task Reorganization
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization
Xuhua Ren
Lichi Zhang
Qian Wang
D. Shen
21
10
0
25 Jun 2019
Task Decomposition and Synchronization for Semantic Biomedical Image
  Segmentation
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation
Xuhua Ren
Lichi Zhang
Sahar Ahmad
Dong Nie
Fan Yang
L. Xiang
Qian Wang
D. Shen
19
26
0
21 May 2019
Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural
  Networks
Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks
Amod Jog
P. E. Grant
J. Jacobson
A. Kouwe
E. Meintjes
Bruce Fischl
Lilla Zöllei
30
6
0
27 Apr 2019
Automatic Brain Tumor Segmentation using Convolutional Neural Networks
  with Test-Time Augmentation
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation
Guotai Wang
Wenqi Li
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
14
151
0
18 Oct 2018
GANs for Medical Image Analysis
GANs for Medical Image Analysis
Salome Kazeminia
Christoph Baur
Arjan Kuijper
Bram van Ginneken
Nassir Navab
Shadi Albarqouni
Anirban Mukhopadhyay
MedIm
AI4CE
18
408
0
13 Sep 2018
Aleatoric uncertainty estimation with test-time augmentation for medical
  image segmentation with convolutional neural networks
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
Guotai Wang
Wenqi Li
Michael Aertsen
Jan Deprest
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
UQCV
MedIm
OOD
49
582
0
19 Jul 2018
Weakly-Supervised Convolutional Neural Networks for Multimodal Image
  Registration
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration
Yipeng Hu
Marc Modat
Eli Gibson
Wenqi Li
N. Ghavami
...
M. Emberton
Sébastien Ourselin
J. A. Noble
D. Barratt
Tom Kamiel Magda Vercauteren
45
381
0
09 Jul 2018
Towards safe deep learning: accurately quantifying biomarker uncertainty
  in neural network predictions
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions
Zach Eaton-Rosen
Felix J. S. Bragman
Sotirios Bisdas
Sebastien Ourselin
M. Jorge Cardoso
UQCV
23
85
0
22 Jun 2018
Uncertainty in multitask learning: joint representations for
  probabilistic MR-only radiotherapy planning
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning
Felix J. S. Bragman
Ryutaro Tanno
Zach Eaton-Rosen
Wenqi Li
D. Hawkes
Sebastien Ourselin
Daniel C. Alexander
J. McClelland
M. Jorge Cardoso
UQCV
33
49
0
18 Jun 2018
Automated Mouse Organ Segmentation: A Deep Learning Based Solution
Automated Mouse Organ Segmentation: A Deep Learning Based Solution
N. Ashish
M. Brusniak
18
2
0
24 Apr 2018
Automatic segmentation method of pelvic floor levator hiatus in
  ultrasound using a self-normalising neural network
Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network
E. Bonmati
Yipeng Hu
Nikhil Sindhwani
H. Dietz
Jan D'hooge
D. Barratt
Jan Deprest
Tom Kamiel Magda Vercauteren
29
30
0
18 Dec 2017
Label-driven weakly-supervised learning for multimodal deformable image
  registration
Label-driven weakly-supervised learning for multimodal deformable image registration
Yipeng Hu
Marc Modat
Eli Gibson
N. Ghavami
E. Bonmati
C. Moore
M. Emberton
J. A. Noble
D. Barratt
Tom Kamiel Magda Vercauteren
26
142
0
05 Nov 2017
TensorLayer: A Versatile Library for Efficient Deep Learning Development
TensorLayer: A Versatile Library for Efficient Deep Learning Development
Hao Dong
A. Supratak
Luo Mai
Fangde Liu
A. Oehmichen
Simiao Yu
Yike Guo
59
114
0
26 Jul 2017
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,946
0
15 Dec 2014
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