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CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

17 January 2020
A. Emre Kavur
N. Gezer
M. Baris
Sinem Aslan
Pierre-Henri Conze
V. Groza
Duc Duy Pham
S. Chatterjee
Philipp Ernst
Savas Ozkan
Bora Baydar
Dmitrii Lachinov
Shuo Han
J. Pauli
Fabian Isensee
Matthias Perkonigg
R. Sathish
Ronnie Rajan
Debdoot Sheet
Gurbandurdy Dovletov
Oliver Speck
A. Nürnberger
Klaus H. Maier-Hein
G. Akar
Gözde B. Ünal
O. Dicle
M. Alper Selver
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Papers citing "CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation"

26 / 226 papers shown
Title
Unsupervised Multi-Modality Registration Network based on Spatially
  Encoded Gradient Information
Unsupervised Multi-Modality Registration Network based on Spatially Encoded Gradient Information
Wangbin Ding
Lei Li
Liqin Huang
Xiahai Zhuang
MedIm
17
5
0
16 May 2021
Automated segmentation of microtomography imaging of Egyptian mummies
Automated segmentation of microtomography imaging of Egyptian mummies
Marc Tanti
C. Berruyer
P. Tafforeau
A. Muscat
R. Farrugia
K. Scerri
G. Valentino
V. A. Solé
J. A. Briffa
6
3
0
14 May 2021
Anatomy-guided Multimodal Registration by Learning Segmentation without
  Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and
  Registration
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration
Bo Zhou
Z. Augenfeld
Julius Chapiro
S. Kevin Zhou
Chi Liu
James S. Duncan
21
48
0
14 Apr 2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning
  and Strong Out-of-Domain Generalization
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Daiqing Li
Junlin Yang
Karsten Kreis
Antonio Torralba
Sanja Fidler
GAN
MedIm
16
179
0
12 Apr 2021
Automated liver tissues delineation techniques: A systematic survey on
  machine learning current trends and future orientations
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
Ayman Al-Kababji
F. Bensaali
S. Dakua
Yassine Himeur
31
21
0
10 Mar 2021
Universal Undersampled MRI Reconstruction
Universal Undersampled MRI Reconstruction
Xinwen Liu
Jing Wang
Feng Liu
S.Kevin Zhou
OOD
25
24
0
09 Mar 2021
Mediastinal lymph nodes segmentation using 3D convolutional neural
  network ensembles and anatomical priors guiding
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
D. Bouget
André Pedersen
J. Vanel
H. O. Leira
T. Langø
18
27
0
11 Feb 2021
Fine-tuning deep learning model parameters for improved super-resolution
  of dynamic MRI with prior-knowledge
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
Chompunuch Sarasaen
S. Chatterjee
Mario Breitkopf
G. Rose
A. Nürnberger
Oliver Speck
SupR
12
35
0
04 Feb 2021
Annotation-efficient deep learning for automatic medical image
  segmentation
Annotation-efficient deep learning for automatic medical image segmentation
Shanshan Wang
Cheng Li
Rongpin Wang
Zaiyi Liu
Meiyun Wang
...
Xin Liu
Jie Chen
Hui-Chong Zhou
Ismail Ben Ayed
Hairong Zheng
VLM
MedIm
23
174
0
09 Dec 2020
Upgraded W-Net with Attention Gates and its Application in Unsupervised
  3D Liver Segmentation
Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation
Dhanunjaya Mitta
S. Chatterjee
Oliver Speck
A. Nürnberger
SSeg
MedIm
11
5
0
20 Nov 2020
DoDNet: Learning to segment multi-organ and tumors from multiple
  partially labeled datasets
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Jianpeng Zhang
Yutong Xie
Yong-quan Xia
Chunhua Shen
6
154
0
20 Nov 2020
Deep Active Surface Models
Deep Active Surface Models
Udaranga Wickramasinghe
G. Knott
Pascal Fua
AI4CE
3DV
6
12
0
17 Nov 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma
Yao Zhang
Song Gu
Cheng Zhu
Cheng Ge
...
Shangqing Liu
Yunpeng Wang
Yuhui Li
Jian He
Xiaoping Yang
SSeg
OOD
26
324
0
28 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
A. Nandi
SSeg
OOD
25
543
0
28 Sep 2020
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
15
18
0
15 Sep 2020
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks
Wangbin Ding
Lei Li
Xiahai Zhuang
Liqin Huang
18
16
0
15 Aug 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image
  Segmentation without Annotation
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
C. Ouyang
C. Biffi
C. L. P. Chen
Turkay Kart
Huaqi Qiu
Daniel Rueckert
20
205
0
20 Jul 2020
Unified cross-modality feature disentangler for unsupervised
  multi-domain MRI abdomen organs segmentation
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation
Jue Jiang
H. Veeraraghavan
DRL
6
30
0
19 Jul 2020
Learning to Segment from Scribbles using Multi-scale Adversarial
  Attention Gates
Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
11
4
0
02 Jul 2020
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale
  Multi-phase CT Data via Deep Dynamic Texture Learning
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
Yuankai Huo
Jinzheng Cai
Chi-Tung Cheng
Ashwin Raju
K. Yan
Bennett A. Landman
Jing Xiao
Le Lu
Chien-Hung Liao
Adam P. Harrison
MedIm
6
11
0
28 Jun 2020
Predicting Scores of Medical Imaging Segmentation Methods with
  Meta-Learning
Predicting Scores of Medical Imaging Segmentation Methods with Meta-Learning
Tom van Sonsbeek
V. Cheplygina
15
2
0
08 May 2020
Abdominal multi-organ segmentation with cascaded convolutional and
  adversarial deep networks
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks
Pierre-Henri Conze
A. Emre Kavur
E. Gall
N. Gezer
Y. Meur
M. Alper Selver
F. Rousseau
SSeg
MedIm
14
100
0
26 Jan 2020
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data
Udaranga Wickramasinghe
Edoardo Remelli
G. Knott
Pascal Fua
17
95
0
08 Dec 2019
Disentangle, align and fuse for multimodal and semi-supervised image
  segmentation
Disentangle, align and fuse for multimodal and semi-supervised image segmentation
A. Chartsias
G. Papanastasiou
Chengjia Wang
S. Semple
D. Newby
R. Dharmakumar
Sotirios A. Tsaftaris
14
13
0
11 Nov 2019
Automated Design of Deep Learning Methods for Biomedical Image
  Segmentation
Automated Design of Deep Learning Methods for Biomedical Image Segmentation
Fabian Isensee
Paul F. Jäger
Simon A. A. Kohl
Jens Petersen
Klaus H. Maier-Hein
3DV
SSeg
18
171
0
17 Apr 2019
The Liver Tumor Segmentation Benchmark (LiTS)
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic
P. Christ
Hongwei Bran Li
Eugene Vorontsov
Avi Ben-Cohen
...
L. Soler
Bram van Ginneken
H. Greenspan
Leo Joskowicz
Bjoern H. Menze
16
988
0
13 Jan 2019
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