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The Medical Segmentation Decathlon

The Medical Segmentation Decathlon

Nature Communications (Nat Commun), 2021
10 June 2021
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
Bennett A. Landman
G. Litjens
Bjoern 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
Hyunjin Park
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
ArXiv (abs)PDFHTML

Papers citing "The Medical Segmentation Decathlon"

24 / 474 papers shown
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 classificationScientific Data (Sci Data), 2021
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
622
1,006
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 LabelsIEEE Transactions on Medical Imaging (IEEE TMI), 2021
Moucheng Xu
Yukun Zhou
Chen Jin
M. Groot
N. Oxtoby
Daniel C. Alexander
Joseph Jacob
264
13
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
B. Bischl
David Rügamer
174
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
191
127
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
212
9
0
30 Sep 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Label-Assemble: Leveraging Multiple Datasets with Partial LabelsIEEE International Symposium on Biomedical Imaging (ISBI), 2021
Mintong Kang
Bowen Li
Zengle Zhu
Yongyi Lu
Elliot K. Fishman
Alan Yuille
Zongwei Zhou
254
22
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
3DPCMedIm
230
25
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
143
37
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
271
2
0
15 Sep 2021
nnFormer: Interleaved Transformer for Volumetric Segmentation
nnFormer: Interleaved Transformer for Volumetric SegmentationIEEE Transactions on Image Processing (TIP), 2021
Hong-Yu Zhou
J. Guo
Yinghao Zhang
Lequan Yu
Liansheng Wang
Yizhou Yu
ViTMedIm
494
515
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
SSegMedImUQCV
139
8
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 SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Himashi Peiris
Zhaolin Chen
Gary Egan
Mehrtash Harandi
GAN
158
55
0
25 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Chen Chen
C. Qin
Cheng Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GANMedIm
266
57
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-labelsNeural Information Processing Systems (NeurIPS), 2021
Jizong Peng
Ping Wang
Chrisitian Desrosiers
M. Pedersoli
SSL
221
72
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 surveyArtificial Intelligence Review (AIR), 2021
Narinder Singh Punn
Sonali Agarwal
SSeg
359
194
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
Hyunjin Park
Annika Reinke
Nicholas Schreck
A. Seitel
M. Tizabi
Lena Maier-Hein
J. Gröhl
182
34
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
257
30
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
214
58
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 SegmentationInformation Fusion (Inf. Fusion), 2021
K. R. M. Fernando
Cris P Tsokos
222
64
0
09 Mar 2021
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation
U-Noise: Learnable Noise Masks for Interpretable Image SegmentationInternational Conference on Information Photonics (ICIP), 2021
Teddy Koker
Fatemehsadat Mireshghallah
Tom Titcombe
Georgios Kaissis
229
23
0
14 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
251
34
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
181
51
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 resultsScientific Reports (Sci Rep), 2019
Manuel Wiesenfarth
Annika Reinke
Bennett A. Landman
M. Jorge Cardoso
Lena Maier-Hein
A. Kopp-Schneider
185
112
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 Menze
554
1,265
0
13 Jan 2019
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