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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"

47 / 397 papers shown
Title
UNetFormer: A Unified Vision Transformer Model and Pre-Training
  Framework for 3D Medical Image Segmentation
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation
Ali Hatamizadeh
Ziyue Xu
Dong Yang
Wenqi Li
H. Roth
Daguang Xu
ViT
MedIm
37
29
0
01 Apr 2022
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D
  Medical Images
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images
A. Diaz-Pinto
Sachidanand Alle
V. Nath
Yucheng Tang
Alvin Ihsani
...
Daguang Xu
Prerna Dogra
Sebastien Ourselin
Andrew Feng
M. Jorge Cardoso
24
71
0
23 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image
  Segmentation
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
An Xu
Wenqi Li
Pengfei Guo
Dong Yang
H. Roth
Ali Hatamizadeh
Can Zhao
Daguang Xu
Heng-Chiao Huang
Ziyue Xu
FedML
36
51
0
18 Mar 2022
Self Pre-training with Masked Autoencoders for Medical Image
  Classification and Segmentation
Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation
Lei Zhou
Huidong Liu
Joseph Bae
Junjun He
Dimitris Samaras
Prateek Prasanna
MedIm
ViT
18
64
0
10 Mar 2022
MixCL: Pixel label matters to contrastive learning
MixCL: Pixel label matters to contrastive learning
Jun Li
Quan Quan
S. Kevin Zhou
SSL
31
1
0
04 Mar 2022
A Data-scalable Transformer for Medical Image Segmentation:
  Architecture, Model Efficiency, and Benchmark
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark
Yunhe Gao
Mu Zhou
Ding Liu
Zhennan Yan
Shaoting Zhang
Dimitris N. Metaxas
ViT
MedIm
26
68
0
28 Feb 2022
Factorizer: A Scalable Interpretable Approach to Context Modeling for
  Medical Image Segmentation
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation
Pooya Ashtari
Diana Sima
L. De Lathauwer
D. Sappey-Marinier
F. Maes
Sabine Van Huffel
ViT
MedIm
28
35
0
24 Feb 2022
Mixed-Block Neural Architecture Search for Medical Image Segmentation
Mixed-Block Neural Architecture Search for Medical Image Segmentation
Martijn M.A. Bosma
A. Dushatskiy
Monika Grewal
Tanja Alderliesten
Peter A. N. Bosman
SSeg
17
8
0
23 Feb 2022
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and
  their usability for Detecting Omicron
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan
Dr. Saddam Hussain Khan
Mahrukh Saif
Asiya Batool
A. Sohail
Muhammad Waleed Khan
31
48
0
13 Feb 2022
Heed the Noise in Performance Evaluations in Neural Architecture Search
Heed the Noise in Performance Evaluations in Neural Architecture Search
A. Dushatskiy
Tanja Alderliesten
Peter A. N. Bosman
15
1
0
04 Feb 2022
Cortical lesions, central vein sign, and paramagnetic rim lesions in
  multiple sclerosis: emerging machine learning techniques and future avenues
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues
Francesco La Rosa
Maxence Wynen
Omar Al-Louzi
E. Beck
Till Huelnhagen
...
P. Sati
Daniel Reich
Cristina Granziera
M. Absinta
Meritxell Bach Cuadra
37
36
0
19 Jan 2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation
  techniques for Vestibular Schwannoma and Cochlea Segmentation
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation
R. Dorent
A. Kujawa
M. Ivory
Spyridon Bakas
Nicola Rieke
...
Kai Yao
Li Zhang
Sebastien Ourselin
J. Shapey
Tom Kamiel Magda Vercauteren
OOD
20
78
0
08 Jan 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors
  in MRI Images
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh
V. Nath
Yucheng Tang
Dong Yang
H. Roth
Daguang Xu
ViT
MedIm
33
1,059
0
04 Jan 2022
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D
  Medical Image Segmentation using HyperNet
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet
Cheng-Fang Peng
Andriy Myronenko
Ali Hatamizadeh
V. Nath
M. R. Siddiquee
Yufan He
Daguang Xu
Ramalingam Chellappa
Dong Yang
SSeg
26
21
0
20 Dec 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in
  Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking
  Results
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta
Angelos Filos
Ujjwal Baid
C. Sako
Richard McKinley
...
Christos Davatzikos
Bjoern H. Menze
Spyridon Bakas
Y. Gal
Tal Arbel
UQCV
17
44
0
19 Dec 2021
Learn2Reg: comprehensive multi-task medical image registration
  challenge, dataset and evaluation in the era of deep learning
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Alessa Hering
Lasse Hansen
Tony C. W. Mok
Albert C. S. Chung
H. Siebert
...
K. Murphy
Nikolas Lessmann
Bram van Ginneken
Adrian V. Dalca
M. Heinrich
40
182
0
08 Dec 2021
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised
  Medical Image Segmentation
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang
Rushi Jiao
Qingcheng Liao
Dongyang Li
Jicong Zhang
35
56
0
05 Dec 2021
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image
  Analysis
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang
Dong Yang
Wenqi Li
H. Roth
Bennett Landman
Daguang Xu
V. Nath
Ali Hatamizadeh
ViT
MedIm
42
517
0
29 Nov 2021
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
Himashi Peiris
Munawar Hayat
Zhaolin Chen
Gary Egan
Mehrtash Harandi
ViT
MedIm
22
123
0
26 Nov 2021
Causality-inspired Single-source Domain Generalization for Medical Image
  Segmentation
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation
Cheng Ouyang
Chia-Ju Chen
Surui Li
Zeju Li
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
30
155
0
24 Nov 2021
Robust deep learning-based semantic organ segmentation in hyperspectral
  images
Robust deep learning-based semantic organ segmentation in hyperspectral images
Silvia Seidlitz
Jiansheng Fang
Jan Odenthal
Berkin Özdemir
Huazhu Fu
...
Jiang-Dong Liu
Martin Wagner
Felix Nickel
Beat P. Müller-Stich
Lena Maier-Hein
32
8
0
09 Nov 2021
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
185
651
0
27 Oct 2021
MisMatch: Calibrated Segmentation via Consistency on Differential
  Morphological Feature Perturbations with Limited Labels
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels
Moucheng Xu
Yukun Zhou
Chen Jin
M. Groot
N. Oxtoby
Daniel C. Alexander
Joseph Jacob
25
7
0
23 Oct 2021
Towards modelling hazard factors in unstructured data spaces using
  gradient-based latent interpolation
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
17
1
0
21 Oct 2021
Optimized U-Net for Brain Tumor Segmentation
Optimized U-Net for Brain Tumor Segmentation
Michal Futrega
Alexandre Milesi
Michal Marcinkiewicz
Pablo Ribalta
SSeg
32
91
0
07 Oct 2021
Robust Segmentation Models using an Uncertainty Slice Sampling Based
  Annotation Workflow
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
G. Chlebus
A. Schenk
Horst K. Hahn
Bram van Ginneken
H. Meine
16
9
0
30 Sep 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Mintong Kang
Bowen Li
Zengle Zhu
Yongyi Lu
Elliot K. Fishman
Alan Yuille
Zongwei Zhou
25
18
0
25 Sep 2021
Asymmetric 3D Context Fusion for Universal Lesion Detection
Asymmetric 3D Context Fusion for Universal Lesion Detection
Jiancheng Yang
Yi He
Kaiming Kuang
Zudi Lin
Hanspeter Pfister
Bingbing Ni
3DPC
MedIm
33
22
0
17 Sep 2021
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation
  from CT Scans
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
Jiancheng Yang
Shixuan Gu
Donglai Wei
Hanspeter Pfister
Bingbing Ni
3DPC
6
30
0
17 Sep 2021
Patch-based Medical Image Segmentation using Matrix Product State Tensor
  Networks
Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks
Raghavendra Selvan
Erik Dam
Soren Alexander Flensborg
Jens Petersen
MedIm
32
2
0
15 Sep 2021
nnFormer: Interleaved Transformer for Volumetric Segmentation
nnFormer: Interleaved Transformer for Volumetric Segmentation
Hong-Yu Zhou
J. Guo
Yinghao Zhang
Lequan Yu
Liansheng Wang
Yizhou Yu
ViT
MedIm
27
307
0
07 Sep 2021
Effect of the output activation function on the probabilities and errors
  in medical image segmentation
Effect of the output activation function on the probabilities and errors in medical image segmentation
Lars Nieradzik
G. Scheuermann
D. Saur
Christina Gillmann
SSeg
MedIm
UQCV
35
6
0
02 Sep 2021
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image
  Segmentation
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation
Himashi Peiris
Zhaolin Chen
Gary Egan
Mehrtash Harandi
GAN
16
46
0
25 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Chia-Ju Chen
C. Qin
Cheng Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
62
40
0
07 Aug 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image
  Segmentation with Meta-labels
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng
Ping Wang
Chrisitian Desrosiers
M. Pedersoli
SSL
31
63
0
29 Jul 2021
Modality specific U-Net variants for biomedical image segmentation: A
  survey
Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn
Sonali Agarwal
SSeg
32
144
0
09 Jul 2021
Semantic segmentation of multispectral photoacoustic images using deep
  learning
Semantic segmentation of multispectral photoacoustic images using deep learning
Melanie Schellenberg
Kris K. Dreher
Niklas Holzwarth
Fabian Isensee
Annika Reinke
Nicholas Schreck
A. Seitel
M. Tizabi
Lena Maier-Hein
J. Gröhl
27
32
0
20 May 2021
Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation
  Losses
Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation Losses
Bingyuan Liu
Jose Dolz
Adrian Galdran
Riadh Kobbi
Ismail Ben Ayed
35
15
0
18 Apr 2021
Weakly supervised segmentation with cross-modality equivariant
  constraints
Weakly supervised segmentation with cross-modality equivariant constraints
Gaurav Patel
Jose Dolz
SSL
40
47
0
06 Apr 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in
  3D MRI Brain Tumor Segmentation
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
K. R. M. Fernando
Cris P Tsokos
31
53
0
09 Mar 2021
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation
Teddy Koker
Fatemehsadat Mireshghallah
Tom Titcombe
Georgios Kaissis
6
21
0
14 Jan 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy
  Families All Alike?
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?
Jun Ma
64
25
0
01 Jan 2021
What is Wrong with Continual Learning in Medical Image Segmentation?
What is Wrong with Continual Learning in Medical Image Segmentation?
Camila González
Nick Lemke
G. Sakas
Anirban Mukhopadhyay
CLL
18
31
0
21 Oct 2020
Robust Medical Instrument Segmentation Challenge 2019
Robust Medical Instrument Segmentation Challenge 2019
T. Ross
Annika Reinke
Peter M. Full
M. Wagner
H. Kenngott
...
Lei Zhu
Manuel Wiesenfarth
A. Kopp-Schneider
Beat P. Müller-Stich
Lena Maier-Hein
57
43
0
23 Mar 2020
Methods and open-source toolkit for analyzing and visualizing challenge
  results
Methods and open-source toolkit for analyzing and visualizing challenge results
Manuel Wiesenfarth
Annika Reinke
Bennett A. Landman
M. Jorge Cardoso
Lena Maier-Hein
A. Kopp-Schneider
14
95
0
11 Oct 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
27
990
0
13 Jan 2019
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View
  Co-Training
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia
Fengze Liu
Ke Wang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
183
124
0
29 Nov 2018
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