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Anatomically Constrained Neural Networks (ACNN): Application to Cardiac
  Image Enhancement and Segmentation
v1v2v3v4 (latest)

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation

22 May 2017
Ozan Oktay
Enzo Ferrante
Konstantinos Kamnitsas
M. Heinrich
Wenjia Bai
Jose Caballero
S. Cook
A. de Marvao
T. Dawes
D. O’Regan
Bernhard Kainz
Ben Glocker
Daniel Rueckert
ArXiv (abs)PDFHTML

Papers citing "Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation"

50 / 185 papers shown
Title
Multi-structure bone segmentation in pediatric MR images with combined
  regularization from shape priors and adversarial network
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network
Arnaud Boutillon
Bhushan S Borotikar
Valérie Burdin
Pierre-Henri Conze
MedIm
45
18
0
15 Sep 2020
A persistent homology-based topological loss function for multi-class
  CNN segmentation of cardiac MRI
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI
Nicholas Byrne
J. Clough
Giovanni Montana
A. King
50
27
0
21 Aug 2020
AtrialJSQnet: A New Framework for Joint Segmentation and Quantification
  of Left Atrium and Scars Incorporating Spatial and Shape Information
AtrialJSQnet: A New Framework for Joint Segmentation and Quantification of Left Atrium and Scars Incorporating Spatial and Shape Information
Lei Li
V. Zimmer
Julia A. Schnabel
Xiahai Zhuang
43
41
0
11 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
212
649
0
02 Aug 2020
Uncertain-DeepSSM: From Images to Probabilistic Shape Models
Uncertain-DeepSSM: From Images to Probabilistic Shape Models
Jadie Adams
Riddhish Bhalodia
Shireen Y. Elhabian
46
24
0
13 Jul 2020
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography
  Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Guotai Wang
Tao Song
Q. Dong
Mei Cui
Ning Huang
Shaoting Zhang
DiffMMedIm
75
74
0
07 Jul 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
115
68
0
24 Jun 2020
Cardiac Segmentation with Strong Anatomical Guarantees
Cardiac Segmentation with Strong Anatomical Guarantees
Nathan Painchaud
Youssef Skandarani
Thierry Judge
Olivier Bernard
A. Lalande
Pierre-Marc Jodoin
69
101
0
15 Jun 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for
  Medical Image Analysis
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis
Xiaozhen Xie
J. Niu
Xuefeng Liu
Zhengsu Chen
Shaojie Tang
Shui Yu
77
15
0
25 Apr 2020
Test-Time Adaptable Neural Networks for Robust Medical Image
  Segmentation
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
Neerav Karani
Ertunc Erdil
K. Chaitanya
E. Konukoglu
OOD
61
172
0
09 Apr 2020
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting
  Ground Truth Images
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images
Youyi Song
Zhen Yu
Teng Zhou
J. Teoh
Baiying Lei
K. Choi
J. Qin
24
19
0
08 Apr 2020
LU-Net: a multi-task network to improve the robustness of segmentation
  of left ventriclular structures by deep learning in 2D echocardiography
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography
Sarah Leclerc
Erik Smistad
Andreas Østvik
F. Cervenansky
F. Espinosa
...
T. Grenier
Carole Lartizien
Pierre-Marc Jodoin
L. Løvstakken
Olivier Bernard
11
1
0
04 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
83
0
0
03 Apr 2020
A New Multiple Max-pooling Integration Module and Cross Multiscale
  Deconvolution Network Based on Image Semantic Segmentation
A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation
Hongfeng You
Shengwei Tian
Long Yu
Xiang Ma
Yan Xing
Ning Xin
SSeg
22
3
0
25 Mar 2020
Liver Segmentation in Abdominal CT Images via Auto-Context Neural
  Network and Self-Supervised Contour Attention
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention
Minyoung Chung
Jingyu Lee
Jeongjin Lee
Y. Shin
MedIm
44
29
0
14 Feb 2020
Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for
  Tooth Segmentation
Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation
Minyoung Chung
Minkyung Lee
Jioh Hong
Sanguk Park
Jusang Lee
Jingyu Lee
Jeongjin Lee
Y. Shin
55
66
0
06 Feb 2020
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images
  using Deep Learning
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
Timo Kepp
H. Sudkamp
C. V. D. Burchard
Hendrik Schenke
P. Koch
G. Hüttmann
J. Roider
M. Heinrich
Heinz Handels
35
11
0
23 Jan 2020
Target-Embedding Autoencoders for Supervised Representation Learning
Target-Embedding Autoencoders for Supervised Representation Learning
Daniel Jarrett
M. Schaar
OOD
56
15
0
23 Jan 2020
Learning Deformable Registration of Medical Images with Anatomical
  Constraints
Learning Deformable Registration of Medical Images with Anatomical Constraints
Lucas Mansilla
Diego H. Milone
Enzo Ferrante
MedIm
67
82
0
20 Jan 2020
Spatio-Temporal Segmentation in 3D Echocardiographic Sequences using
  Fractional Brownian Motion
Spatio-Temporal Segmentation in 3D Echocardiographic Sequences using Fractional Brownian Motion
Omar Sultan Al-Kadi
22
5
0
21 Dec 2019
Heart Segmentation From MRI Scans Using Convolutional Neural Network
Heart Segmentation From MRI Scans Using Convolutional Neural Network
Shakeel Muhammad Ibrahim
M. Ibrahim
Muhammad Usman
I. Naseem
M. Moinuddin
18
3
0
21 Nov 2019
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
Chen Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg3DV
136
688
0
09 Nov 2019
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in
  Ultrasound Images
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
Aleksandar Vakanski
Min Xian
Phoebe E. Freer
88
144
0
20 Oct 2019
Combining Shape Priors with Conditional Adversarial Networks for
  Improved Scapula Segmentation in MR images
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in MR images
Arnaud Boutillon
Bhushan S Borotikar
Valérie Burdin
Pierre-Henri Conze
MedIm
55
20
0
20 Oct 2019
Deep Learning Based Detection and Correction of Cardiac MR Motion
  Artefacts During Reconstruction for High-Quality Segmentation
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation
I. Oksuz
J. Clough
B. Ruijsink
Esther Puyol-Antón
A. Bustin
G. Cruz
Claudia Prieto
A. King
Julia A. Schnabel
3DVMedIm
111
61
0
11 Oct 2019
Shape Constrained Network for Eye Segmentation in the Wild
Shape Constrained Network for Eye Segmentation in the Wild
Bingnan Luo
Jie Shen
Shiyang Cheng
Yujiang Wang
Maja Pantic
CVBM
74
26
0
11 Oct 2019
Model-Based and Data-Driven Strategies in Medical Image Computing
Model-Based and Data-Driven Strategies in Medical Image Computing
Daniel Rueckert
Julia A. Schnabel
OODMedImAI4CE
62
50
0
23 Sep 2019
3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation
3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation
Zhouqin He
Siqi Bao
Albert C. S. Chung
3DV
13
7
0
14 Sep 2019
An Automatic Cardiac Segmentation Framework based on Multi-sequence MR
  Image
An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image
Yashu Liu
Wei Wang
Kuanquan Wang
Chengqin Ye
Gongning Luo
59
21
0
12 Sep 2019
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors
V. Cherukuri
Tiantong Guo
S. Schiff
V. Monga
MedImSupR
50
47
0
10 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
158
770
0
27 Aug 2019
Weakly Supervised Segmentation by A Deep Geodesic Prior
Weakly Supervised Segmentation by A Deep Geodesic Prior
Aliasghar Mortazi
Naji Khosravan
Drew Torigian
Sila Kurugol
Ulas Bagci
22
6
0
18 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
124
19
0
15 Aug 2019
I Bet You Are Wrong: Gambling Adversarial Networks for Structured
  Semantic Segmentation
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation
Laurens Samson
Nanne van Noord
Olaf Booij
M. Hofmann
E. Gavves
Mohsen Ghafoorian
GAN
58
14
0
07 Aug 2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage
  Enhancement
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
Ryutaro Tanno
Daniel E. Worrall
Enrico Kaden
Aurobrata Ghosh
Francesco Grussu
A. Bizzi
S. Sotiropoulos
A. Criminisi
Daniel C. Alexander
MedImDiffM
104
33
0
31 Jul 2019
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view
  Images
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images
Chen Chen
C. Biffi
G. Tarroni
S. Petersen
Wenjia Bai
Daniel Rueckert
105
53
0
23 Jul 2019
Cardiac MRI Segmentation with Strong Anatomical Guarantees
Cardiac MRI Segmentation with Strong Anatomical Guarantees
Nathan Painchaud
Youssef Skandarani
Thierry Judge
Olivier Bernard
A. Lalande
Pierre-Marc Jodoin
53
63
0
05 Jul 2019
Explainable Anatomical Shape Analysis through Deep Hierarchical
  Generative Models
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models
C. Biffi
Juan J. Cerrolaza
G. Tarroni
Wenjia Bai
A. de Marvao
...
Jinming Duan
S. Prasad
S. Cook
D. O’Regan
Daniel Rueckert
MedIm
95
47
0
28 Jun 2019
Cardiac Segmentation from LGE MRI Using Deep Neural Network
  Incorporating Shape and Spatial Priors
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors
Qian Yue
Xinzhe Luo
Qing Ye
Lingchao Xu
Xiahai Zhuang
65
88
0
18 Jun 2019
Single Image Super-resolution via Dense Blended Attention Generative Adversarial Network for Clinical Diagnosis
Kewen Liu
Yuan Ma
Hongxia Xiong
Zejun Yan
Zhijun Zhou
Chaoyang Liu
Panpan Fang
Xiaojun Li
Yalei Chen
GANMedIm
23
1
0
15 Jun 2019
Global and Local Interpretability for Cardiac MRI Classification
Global and Local Interpretability for Cardiac MRI Classification
J. Clough
Ilkay Oksuz
Esther Puyol-Antón
B. Ruijsink
A. King
Julia A. Schnabel
92
60
0
14 Jun 2019
Anatomical Priors for Image Segmentation via Post-Processing with
  Denoising Autoencoders
Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders
Agostina J. Larrazabal
Cesar E. Martínez
Enzo Ferrante
55
44
0
05 Jun 2019
Learning Shape Representation on Sparse Point Clouds for Volumetric
  Image Segmentation
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation
F. Balsiger
Yannick Soom
Olivier Scheidegger
M. Reyes
3DPC
64
16
0
05 Jun 2019
Uncertainty-based graph convolutional networks for organ segmentation
  refinement
Uncertainty-based graph convolutional networks for organ segmentation refinement
R. Soberanis-Mukul
Nassir Navab
Shadi Albarqouni
SSegMedIm
45
12
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
114
8
0
24 May 2019
Unsupervised Deep Contrast Enhancement with Power Constraint for OLED
  Displays
Unsupervised Deep Contrast Enhancement with Power Constraint for OLED Displays
Y. Shin
Seung Park
Yoon-Jae Yeo
Min-Jae Yoo
Sung-Jea Ko
36
22
0
15 May 2019
Medical image super-resolution method based on dense blended attention
  network
Medical image super-resolution method based on dense blended attention network
Kewen Liu
Yuan Ma
Hongxia Xiong
Zejun Yan
Zhijun Zhou
Panpan Fang
Chaoyang Liu
SupRMedIm
27
9
0
13 May 2019
Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative
  Adversarial Nets
Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets
Jie Xing
Zheren Li
Biyuan Wang
Yuji Qi
Bingbin Yu
F. G. Zanjani
Aiwen Zheng
R. Duits
T. Tan
GANMedIm
14
6
0
06 May 2019
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation
Adrian Dalca
Evan M. Yu
Polina Golland
Bruce Fischl
M. Sabuncu
Juan Eugenio Iglesias
OOD
71
66
0
25 Apr 2019
Prior-aware Neural Network for Partially-Supervised Multi-Organ
  Segmentation
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation
Yuyin Zhou
Zhe Li
S. Bai
Chong Wang
Xinlei Chen
Mei Han
Elliot K. Fishman
Alan Yuille
55
177
0
12 Apr 2019
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