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The Medical Segmentation Decathlon

The Medical Segmentation Decathlon

10 June 2021
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
Bennett A. Landman
G. Litjens
Bjoern H. Menze
Olaf Ronneberger
Ronald M.Summers
Bram van Ginneken
Michel Bilello
Patrick Bilic
P. Christ
Richard K G Do
M. Gollub
S. Heckers
Henkjan Huisman
William R. Jarnagin
M. McHugo
S. Napel
Jennifer S. Goli Pernicka
K. Rhode
C. Tobon-Gomez
Eugene Vorontsov
Henkjan Huisman
J. Meakin
Sebastien Ourselin
Manuel Wiesenfarth
Pablo Arbelaez
Byeonguk Bae
Sihong Chen
Laura Alexandra Daza
Jian-Jun Feng
Baochun He
Fabian Isensee
Yuanfeng Ji
F. Jia
Namkug Kim
Ildoo Kim
Dorit Merhof
A. Pai
Beomhee Park
Mathias Perslev
R. Rezaiifar
Oliver Rippel
Ignacio Sarasua
Wei Shen
Jaemin Son
Christian Wachinger
Liansheng Wang
Yan Wang
Yingda Xia
Daguang Xu
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
    OOD
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Papers citing "The Medical Segmentation Decathlon"

50 / 397 papers shown
Title
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular
  Automata
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata
John Kalkhof
Camila González
Anirban Mukhopadhyay
17
15
0
07 Feb 2023
Continual Segment: Towards a Single, Unified and Accessible Continual
  Segmentation Model of 143 Whole-body Organs in CT Scans
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans
Zhanghexuan Ji
Dazhou Guo
Puyang Wang
Ke Yan
Le Lu
...
Qifeng Wang
J. Ge
Mingchen Gao
X. Ye
D. Jin
OOD
21
19
0
01 Feb 2023
CancerUniT: Towards a Single Unified Model for Effective Detection,
  Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection
  of CT Scans
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
Jieneng Chen
Yingda Xia
Jiawen Yao
K. Yan
Jianpeng Zhang
...
Xin Chen
Jingren Zhou
Alan Yuille
Zai-De Liu
Ling Zhang
ViT
MedIm
33
15
0
28 Jan 2023
Active learning for medical image segmentation with stochastic batches
Active learning for medical image segmentation with stochastic batches
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
UQCV
33
20
0
18 Jan 2023
SegViz: A federated-learning based framework for multi-organ
  segmentation on heterogeneous data sets with partial annotations
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations
Adway U. Kanhere
Pranav Kulkarni
P. Yi
V. Parekh
FedML
28
1
0
17 Jan 2023
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain
  Adaptation for Breast MRI Segmentation in Small Datasets
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets
Sheng Kuang
Henry C. Woodruff
R. Granzier
T. Nijnatten
M. Lobbes
M. Smidt
Philippe Lambin
S. Mehrkanoon
28
16
0
04 Jan 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu
Yixiao Zhang
Jieneng Chen
Junfei Xiao
Yongyi Lu
Bennett A. Landman
Yixuan Yuan
Alan Yuille
Yucheng Tang
Zongwei Zhou
VLM
MedIm
39
194
0
02 Jan 2023
DAE-Former: Dual Attention-guided Efficient Transformer for Medical
  Image Segmentation
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
Reza Azad
René Arimond
Ehsan Khodapanah Aghdam
Amirhosein Kazerouni
Dorit Merhof
ViT
MedIm
32
78
0
27 Dec 2022
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style
  Curvilinear Structure Segmentation
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation
Li Lin
Linkai Peng
Huaqing He
Pujin Cheng
Jiewei Wu
Kenneth K. Y. Wong
Xiaoying Tang
24
12
0
11 Dec 2022
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query
  Embedding
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding
Heng Guo
Jianfeng Zhang
K. Yan
Le Lu
Minfeng Xu
MedIm
19
2
0
05 Dec 2022
Active learning using adaptable task-based prioritisation
Active learning using adaptable task-based prioritisation
Shaheer U. Saeed
João Ramalhinho
Mark A. Pinnock
Ziyi Shen
Yunguan Fu
...
D. Barratt
Stephen P. Pereira
Brian R. Davidson
Matthew J. Clarkson
Yipeng Hu
13
4
0
03 Dec 2022
Medical Image Segmentation Review: The success of U-Net
Medical Image Segmentation Review: The success of U-Net
Reza Azad
Ehsan Khodapanah Aghdam
Amelie Rauland
Yiwei Jia
Atlas Haddadi Avval
Afshin Bozorgpour
Sanaz Karimijafarbigloo
Joseph Paul Cohen
Ehsan Adeli
Dorit Merhof
SSeg
28
265
0
27 Nov 2022
A Comprehensive Survey of Transformers for Computer Vision
A Comprehensive Survey of Transformers for Computer Vision
Sonain Jamil
Md. Jalil Piran
Oh-Jin Kwon
ViT
30
46
0
11 Nov 2022
Exploiting segmentation labels and representation learning to forecast
  therapy response of PDAC patients
Exploiting segmentation labels and representation learning to forecast therapy response of PDAC patients
Alexander Ziller
Ayhan Can Erdur
F. Jungmann
Daniel Rueckert
R. Braren
Georgios Kaissis
16
0
0
08 Nov 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
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive
  Biased kernels
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels
Shrajan Bhandary
Z. Babaiee
D. Kostyszyn
T. Fechter
C. Zamboglou
Anca-Ligia Grosu
Radu Grosu
37
1
0
28 Oct 2022
SINCO: A Novel structural regularizer for image compression using
  implicit neural representations
SINCO: A Novel structural regularizer for image compression using implicit neural representations
Harry Gao
Weijie Gan
Zhixin Sun
Ulugbek S. Kamilov
AI4CE
33
3
0
26 Oct 2022
How precise are performance estimates for typical medical image
  segmentation tasks?
How precise are performance estimates for typical medical image segmentation tasks?
Rosana El Jurdi
O. Colliot
UQCV
25
6
0
26 Oct 2022
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical
  Centerline Extraction
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction
L. Jin
Shixuan Gu
D. Wei
Jason Ken Adhinarta
Kaiming Kuang
Yongjie Jessica Zhang
Hanspeter Pfister
Bingbing Ni
Jiancheng Yang
Ming Li
3DPC
24
15
0
18 Oct 2022
Verifiable and Energy Efficient Medical Image Analysis with Quantised
  Self-attentive Deep Neural Networks
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks
Rakshith Sathish
S. Khare
Debdoot Sheet
39
4
0
30 Sep 2022
Dive into Self-Supervised Learning for Medical Image Analysis: Data,
  Models and Tasks
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks
Chuyan Zhang
Yun Gu
29
0
0
25 Sep 2022
Can segmentation models be trained with fully synthetically generated
  data?
Can segmentation models be trained with fully synthetically generated data?
Virginia Fernandez
W. H. Pinaya
Pedro Borges
Petru-Daniel Tudosiu
M. Graham
Tom Kamiel Magda Vercauteren
M. Jorge Cardoso
DiffM
MedIm
51
45
0
17 Sep 2022
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative
  Multi-Modal Brain Tumor Segmentation
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
H. Roth
Ali Hatamizadeh
Ziyue Xu
Can Zhao
Wenqi Li
Andriy Myronenko
Daguang Xu
FedML
37
9
0
22 Aug 2022
Transforming the Interactive Segmentation for Medical Imaging
Transforming the Interactive Segmentation for Medical Imaging
Wentao Liu
Chaofan Ma
Yu-Hao Yang
Weidi Xie
Ya Zhang
MedIm
17
8
0
20 Aug 2022
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at
  MICCAI 2021
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
Carole H. Sudre
K. V. Wijnen
Florian Dubost
H. Adams
D. Atkinson
...
F. Wolters
P. Yilmaz
M. Groot
Meike W. Vernooij
Marleen de Bruijne
26
19
0
15 Aug 2022
Recent Progress in Transformer-based Medical Image Analysis
Recent Progress in Transformer-based Medical Image Analysis
Zhao-cheng Liu
Qiujie Lv
Ziduo Yang
Yifan Li
Chau Hung Lee
Leizhao Shen
MedIm
42
56
0
13 Aug 2022
Distance-based detection of out-of-distribution silent failures for
  Covid-19 lung lesion segmentation
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation
Jiamin Liang
Yuhao Huang
Haoming Li
Shuangchi He
Xindi Hu
Zejian Chen
Isabel Kaltenborn
Dong Ni
OOD
31
42
0
05 Aug 2022
FCSN: Global Context Aware Segmentation by Learning the Fourier
  Coefficients of Objects in Medical Images
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images
Y. Jeon
Hongfei Yang
Mengling Feng
11
2
0
29 Jul 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
29
152
0
28 Jul 2022
High-Resolution Swin Transformer for Automatic Medical Image
  Segmentation
High-Resolution Swin Transformer for Automatic Medical Image Segmentation
Chen Wei
Shenghan Ren
Kaitai Guo
Haihong Hu
Jimin Liang
ViT
OOD
MedIm
22
36
0
23 Jul 2022
A clinically motivated self-supervised approach for content-based image
  retrieval of CT liver images
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
Kristoffer Wickstrøm
Eirik Agnalt Ostmo
Keyur Radiya
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
Robert Jenssen
SSL
23
13
0
11 Jul 2022
Less Is More: A Comparison of Active Learning Strategies for 3D Medical
  Image Segmentation
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation
Josafat-Mattias Burmeister
M. Rosas
J. Hagemann
Jonas Kordt
J. Blum
Simon Shabo
Benjamin Bergner
I. A. Sinai
23
6
0
02 Jul 2022
Implicit U-Net for volumetric medical image segmentation
Implicit U-Net for volumetric medical image segmentation
Sergio Naval Marimont
G. Tarroni
SSeg
41
2
0
30 Jun 2022
Deep Active Latent Surfaces for Medical Geometries
Deep Active Latent Surfaces for Medical Geometries
Patrick M. Jensen
Udaranga Wickramasinghe
Anders B. Dahl
Pascal Fua
Vedrana Andersen Dahl
MedIm
36
2
0
21 Jun 2022
3D unsupervised anomaly detection and localization through virtual
  multi-view projection and reconstruction: Clinical validation on low-dose
  chest computed tomography
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography
Kyungsu Kim
S. Oh
J. Lee
M. Chung
17
3
0
18 Jun 2022
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile
  Medical Image Segmentation
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji
Haotian Bai
Jie-jin Yang
Chongjian Ge
Ye Zhu
...
Zhuguo Li
Lingyan Zhang
Wanling Ma
Xiang Wan
Ping Luo
OOD
23
295
0
16 Jun 2022
Federated Multi-organ Segmentation with Inconsistent Labels
Federated Multi-organ Segmentation with Inconsistent Labels
Xuanang Xu
H. Deng
J. Gateno
Pingkun Yan
FedML
44
22
0
14 Jun 2022
The Open Kidney Ultrasound Data Set
The Open Kidney Ultrasound Data Set
Rohit Singla
Cailin Ringstrom
Grace Hu
V. Lessoway
Janice Reid
C. Nguan
R. Rohling
14
12
0
14 Jun 2022
Fitting Segmentation Networks on Varying Image Resolutions using
  Splatting
Fitting Segmentation Networks on Varying Image Resolutions using Splatting
Mikael Brudfors
Yael Balbastre
John Ashburner
Geraint Rees
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
21
1
0
13 Jun 2022
Brain tumour segmentation with incomplete imaging data
Brain tumour segmentation with incomplete imaging data
James K. Ruffle
Samia Mohinta
Robert J. Gray
H. Hyare
P. Nachev
32
8
0
13 Jun 2022
Implementation of a Modified U-Net for Medical Image Segmentation on
  Edge Devices
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices
Owais Ali
Hazrat Ali
S. A. A. Shah
A. Shahzad
SSeg
26
33
0
06 Jun 2022
Metrics reloaded: Recommendations for image analysis validation
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein
Annika Reinke
Patrick Godau
M. Tizabi
Florian Buettner
...
Aleksei Tiulpin
Sotirios A. Tsaftaris
Ben Van Calster
Gaël Varoquaux
Paul F. Jäger
34
217
0
03 Jun 2022
MaxStyle: Adversarial Style Composition for Robust Medical Image
  Segmentation
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
Chong Chen
Zeju Li
Cheng Ouyang
Matthew Sinclair
Wenjia Bai
Daniel Rueckert
OOD
31
30
0
02 Jun 2022
Transforming medical imaging with Transformers? A comparative review of
  key properties, current progresses, and future perspectives
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Jun Li
Junyu Chen
Yucheng Tang
Ce Wang
Bennett A. Landman
S. K. Zhou
ViT
OOD
MedIm
23
21
0
02 Jun 2022
Dynamic Linear Transformer for 3D Biomedical Image Segmentation
Dynamic Linear Transformer for 3D Biomedical Image Segmentation
Zheyu Zhang
Ulas Bagci
ViT
MedIm
28
12
0
01 Jun 2022
The Fully Convolutional Transformer for Medical Image Segmentation
The Fully Convolutional Transformer for Medical Image Segmentation
Athanasios Tragakis
Chaitanya Kaul
Roderick Murray-Smith
D. Husmeier
ViT
MedIm
25
56
0
01 Jun 2022
The use of deep learning in interventional radiotherapy (brachytherapy):
  a review with a focus on open source and open data
The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data
T. Fechter
I. Sachpazidis
D. Baltas
OOD
AI4CE
47
5
0
16 May 2022
Using Deep Learning-based Features Extracted from CT scans to Predict
  Outcomes in COVID-19 Patients
Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients
Sai Vidyaranya Nuthalapati
M. Vizcaychipi
P. Shah
P. Chudzik
C. Leow
Paria Yousefi
Ahmed Selim
K. Tait
B. Irving
OOD
54
1
0
10 May 2022
Model-agnostic Multi-Domain Learning with Domain-Specific Adapters for
  Action Recognition
Model-agnostic Multi-Domain Learning with Domain-Specific Adapters for Action Recognition
Kazuki Omi
Jun Kimata
Toru Tamaki
23
7
0
15 Apr 2022
Federated Cross Learning for Medical Image Segmentation
Federated Cross Learning for Medical Image Segmentation
Xuanang Xu
H. Deng
Tianyi Chen
Tianshu Kuang
J. C. Barber
Daeseung Kim
J. Gateno
J. Xia
Pingkun Yan
FedML
OOD
35
16
0
05 Apr 2022
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