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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
Image Segmentation with Topological Priors
Image Segmentation with Topological Priors
Shakir Showkat Sofi
Nadezhda Alsahanova
23
3
0
12 May 2022
Improving anatomical plausibility in medical image segmentation via
  hybrid graph neural networks: applications to chest x-ray analysis
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
Nicolás Gaggion
Lucas Mansilla
Candelaria Mosquera
Diego H. Milone
Enzo Ferrante
MedIm
37
41
0
21 Mar 2022
Leveraging Labeling Representations in Uncertainty-based Semi-supervised
  Segmentation
Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation
V. SukeshAdiga
Jose Dolz
H. Lombaert
UQCV
39
16
0
10 Mar 2022
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and
  no Retraining
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining
Benjamin Billot
Magdamo Colin
S. Arnold
Sudeshna Das
Juan Eugenio Iglesias
OOD
92
11
0
03 Mar 2022
Shape constrained CNN for segmentation guided prediction of myocardial
  shape and pose parameters in cardiac MRI
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI
Sofie Tilborghs
J. Bogaert
F. Maes
54
6
0
02 Mar 2022
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of
  Anisotropic MRI
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI
Jörg Sander
B. D. de Vos
Ivana Ivsgum
DiffMMedIm
62
15
0
18 Feb 2022
Supervision by Denoising for Medical Image Segmentation
Supervision by Denoising for Medical Image Segmentation
Sean I. Young
Adrian Dalca
Enzo Ferrante
Polina Golland
Christopher A. Metzler
Bruce Fischl
Juan Eugenio Iglesias
83
4
0
07 Feb 2022
Tackling the Class Imbalance Problem of Deep Learning Based Head and
  Neck Organ Segmentation
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation
Elias Tappeiner
M. Welk
R. Schubert
SSegAI4CE
56
16
0
05 Jan 2022
Temporally Constrained Neural Networks (TCNN): A framework for
  semi-supervised video semantic segmentation
Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation
Deepak Alapatt
Pietro Mascagni
Armine Vardazaryan
Alain Garcia
Nariaki Okamoto
Didier Mutter
J. Marescaux
Guido Costamagna
B. Dallemagne
N. Padoy
57
10
0
27 Dec 2021
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines
  and Evidence from a Systematic Review
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review
Haomin Chen
Catalina Gomez
Chien-Ming Huang
Mathias Unberath
114
131
0
21 Dec 2021
A Generalized Zero-Shot Quantization of Deep Convolutional Neural
  Networks via Learned Weights Statistics
A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics
Prasen Kumar Sharma
Arun Abraham
V. N. Rajendiran
MQ
98
8
0
06 Dec 2021
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
Riddhish Bhalodia
Shireen Y. Elhabian
Jadie Adams
Wenzheng Tao
L. Kavan
R. Whitaker
MedIm
142
25
0
14 Oct 2021
A New Semi-Automated Algorithm for Volumetric Segmentation of the Left
  Ventricle in Temporal 3D Echocardiography Sequences
A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences
Deepa Krishnaswamy
A. Hareendranathan
Tan Suwatanaviroj
P. Boulanger
H. Becher
M. Noga
K. Punithakumar
50
4
0
02 Sep 2021
Re-using Adversarial Mask Discriminators for Test-time Training under
  Distribution Shifts
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
74
6
0
26 Aug 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time
  Training
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
TTA
70
9
0
26 Aug 2021
A persistent homology-based topological loss for CNN-based multi-class
  segmentation of CMR
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR
Nicholas Byrne
J. Clough
I. Valverde
Giovanni Montana
A. King
82
26
0
27 Jul 2021
Fully Automated Machine Learning Pipeline for Echocardiogram
  Segmentation
Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation
Hang Duong Thi Thuy
T. Minh
Phi Nguyen Van
Long Tran Quoc
24
1
0
18 Jul 2021
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed
  Adversarial Gaussian Domain Adaptation
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation
N. Savioli
A. de Marvao
Wenjia Bai
Shuo Wang
S. Cook
C. Chin
Daniel Rueckert
D. O’Regan
MedIm
55
2
0
16 Jul 2021
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A
  Comprehensive Review
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review
Subrato Bharati
Prajoy Podder
M. Rubaiyat Hossain Mondal
V. B. Surya Prasath
71
40
0
13 Jul 2021
Context-aware virtual adversarial training for anatomically-plausible
  segmentation
Context-aware virtual adversarial training for anatomically-plausible segmentation
Ping Wang
Jizong Peng
M. Pedersoli
Yuanfeng Zhou
Caiming Zhang
Christian Desrosiers
26
5
0
12 Jul 2021
Joint Motion Correction and Super Resolution for Cardiac Segmentation
  via Latent Optimisation
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation
Shuo Wang
C. Qin
N. Savioli
Chen Chen
D. O’Regan
S. Cook
Yike Guo
Daniel Rueckert
Wenjia Bai
MedIm
41
17
0
08 Jul 2021
Stateless actor-critic for instance segmentation with high-level priors
Stateless actor-critic for instance segmentation with high-level priors
P. Hilt
Maedeh Zarvandi
Edgar Kaziakhmedov
Sourabh Bhide
Maria Leptin
Constantin Pape
Anna Kreshuk
OffRL
36
0
0
06 Jul 2021
Hybrid graph convolutional neural networks for landmark-based anatomical
  segmentation
Hybrid graph convolutional neural networks for landmark-based anatomical segmentation
Nicolás Gaggion
Lucas Mansilla
Diego H. Milone
Enzo Ferrante
MedIm
59
8
0
17 Jun 2021
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures
  Segmentation
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation
Yuting He
Rongjun Ge
Xiaoming Qi
Guanyu Yang
Yang Chen
Youyong Kong
H. Shu
J. Coatrieux
Shuo Li
MedIm
34
3
0
08 Jun 2021
MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution
MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution
Jin Zhu
Chuan Tan
Junwei Yang
Guang Yang
Pietro Lio
OODMedIm
35
2
0
22 May 2021
Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D
  Microscopy
Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy
K. Arnavaz
Oswin Krause
Kilian Zepf
Jelena M. Krivokapic
Silja Heilmann
J. A. Bærentzen
P. Nyeng
Aasa Feragen
16
2
0
20 May 2021
Beyond pixel-wise supervision for segmentation: A few global shape
  descriptors might be surprisingly good!
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!
H. Kervadec
Houda Bahig
L. Létourneau-Guillon
Jose Dolz
Ismail Ben Ayed
163
14
0
03 May 2021
Weakly Supervised Volumetric Segmentation via Self-taught Shape
  Denoising Model
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model
Qian He
Shuailin Li
Xuming He
135
3
0
27 Apr 2021
Efficient Model Monitoring for Quality Control in Cardiac Image
  Segmentation
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation
Francesco Galati
Maria A. Zuluaga
44
15
0
12 Apr 2021
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Ashwin Raju
S. Miao
Mei Han
Le Lu
Junzhou Huang
Adam P. Harrison
3DVMedIm
57
33
0
07 Apr 2021
A Comparative Analysis of Machine Learning and Grey Models
A Comparative Analysis of Machine Learning and Grey Models
Gang He
Khwaja Mutahir Ahmad
Wenxin Yu
Xiaochuan Xu
J. Kumar
SyDaAI4TS
51
0
0
02 Apr 2021
Learning With Context Feedback Loop for Robust Medical Image
  Segmentation
Learning With Context Feedback Loop for Robust Medical Image Segmentation
K. Girum
G. Créhange
A. Lalande
MedIm
51
39
0
04 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep
  Network Models
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
Jialin Peng
Ye Wang
VLM
90
60
0
28 Feb 2021
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
Yuan Liang
Weinan Song
Jiawei Yang
Liang Qiu
Kun Wang
Lei He
MedIm
37
3
0
02 Feb 2021
Reciprocal Landmark Detection and Tracking with Extremely Few
  Annotations
Reciprocal Landmark Detection and Tracking with Extremely Few Annotations
Jianzhe Lin
Ghazal Sahebzamani
C. Luong
F. Dezaki
Mohammad Jafari
Purang Abolmaesumi
T. Tsang
71
4
0
27 Jan 2021
Multi-Structure Deep Segmentation with Shape Priors and Latent
  Adversarial Regularization
Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization
Arnaud Boutillon
Bhushan S Borotikar
C. Pons
Valérie Burdin
Pierre-Henri Conze
MedIm
19
4
0
25 Jan 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
135
34
0
19 Jan 2021
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice
  Cardiac MR Images by Incorporating Pretrained Task Networks
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
Sven Koehler
T. Hussain
Zach Blair
T. Huffaker
Florian Ritzmann
...
S. Sarikouch
H. Latus
G. Greil
I. Wolf
Sandy Engelhardt
119
8
0
19 Jan 2021
Annotation-Efficient Learning for Medical Image Segmentation based on
  Noisy Pseudo Labels and Adversarial Learning
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning
Lu Wang
D. Guo
Guotai Wang
Shaoting Zhang
MedImGAN
60
30
0
29 Dec 2020
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with
  Image-and-Spatial Transformer Networks
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks
Matthew Sinclair
A. Schuh
K. Hahn
K. Petersen
Ying Bai
James Batten
M. Schaap
Ben Glocker
74
32
0
18 Dec 2020
Contour Transformer Network for One-shot Segmentation of Anatomical
  Structures
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
Yuhang Lu
K. Zheng
Weijian Li
Yirui Wang
Adam P. Harrison
...
Song Wang
Jing Xiao
Le Lu
C. Kuo
S. Miao
MedIm
116
22
0
02 Dec 2020
Automatic Detection of Cardiac Chambers Using an Attention-based YOLOv4
  Framework from Four-chamber View of Fetal Echocardiography
Automatic Detection of Cardiac Chambers Using an Attention-based YOLOv4 Framework from Four-chamber View of Fetal Echocardiography
Sibo Qiao
Shanchen Pang
G. Luo
S. Pan
Xun Wang
Min Wang
Xue Zhai
Taotao Chen
25
8
0
26 Nov 2020
High-level Prior-based Loss Functions for Medical Image Segmentation: A
  Survey
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
Rosana El Jurdia
Caroline Petitjean
P. Honeine
Veronika Cheplygina
F. Abdallah
SSegMedIm
91
83
0
16 Nov 2020
Automatic segmentation with detection of local segmentation failures in
  cardiac MRI
Automatic segmentation with detection of local segmentation failures in cardiac MRI
Jörg Sander
B. D. de Vos
Ivana Išgum
94
50
0
13 Nov 2020
Automatic Myocardial Infarction Evaluation from Delayed-Enhancement
  Cardiac MRI using Deep Convolutional Networks
Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI using Deep Convolutional Networks
K. Girum
Youssef Skandarani
Raabid Hussain
A. B. Grayeli
G. Créhange
A. Lalande
40
10
0
30 Oct 2020
Unsupervised Super-Resolution: Creating High-Resolution Medical Images
  from Low-Resolution Anisotropic Examples
Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples
Jörg Sander
B. D. de Vos
Ivana Išgum
MedIm
51
17
0
25 Oct 2020
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous
  Prediction of Shape and Pose Parameters
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters
Sofie Tilborghs
T. Dresselaers
P. Claus
J. Bogaert
F. Maes
67
10
0
18 Oct 2020
Early Detection of Myocardial Infarction in Low-Quality Echocardiography
Early Detection of Myocardial Infarction in Low-Quality Echocardiography
A. Degerli
M. Zabihi
S. Kiranyaz
Tahir Hamid
Rashid Mazhar
R. Hamila
Moncef Gabbouj
48
60
0
05 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
Asoke K. Nandi
SSegOOD
95
578
0
28 Sep 2020
Tarsier: Evolving Noise Injection in Super-Resolution GANs
Tarsier: Evolving Noise Injection in Super-Resolution GANs
Baptiste Roziere
Nathanal Carraz Rakotonirina
Vlad Hosu
Andry Rasoanaivo
Hanhe Lin
Camille Couprie
O. Teytaud
87
6
0
25 Sep 2020
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