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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 / 395 papers shown
Title
GELU Activation Function in Deep Learning: A Comprehensive Mathematical
  Analysis and Performance
GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance
Minhyeok Lee
21
29
0
20 May 2023
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D
  Medical Images
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images
A. Diaz-Pinto
P. Mehta
Sachidanand Alle
Muhammad Asad
Richard Brown
...
Tom Kamiel Magda Vercauteren
Andrew Feng
Abood Quraini
Sebastien Ourselin
M. Jorge Cardoso
MedIm
27
19
0
18 May 2023
PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
Xiaoman Zhang
Chaoyi Wu
Ziheng Zhao
Weixiong Lin
Ya Zhang
Yanfeng Wang
Weidi Xie
LM&MA
42
153
0
17 May 2023
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ
  Segmentation in Three Weeks
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
Chongyu Qu
Tiezheng Zhang
Hualin Qiao
Jie Liu
Yucheng Tang
Alan Yuille
Zongwei Zhou
36
37
0
16 May 2023
Black-box Source-free Domain Adaptation via Two-stage Knowledge
  Distillation
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation
Shuai Wang
Daoan Zhang
Zipei Yan
Shitong Shao
Ruizhen Li
25
2
0
13 May 2023
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation
Hugo Oliveira
P. H. T. Gama
Isabelle Bloch
R. M. C. Junior
22
9
0
11 May 2023
Duke Spleen Data Set: A Publicly Available Spleen MRI and CT dataset for
  Training Segmentation
Duke Spleen Data Set: A Publicly Available Spleen MRI and CT dataset for Training Segmentation
Yuqi Wang
Jacob A. Macdonald
Katelyn R Morgan
Danielle Hom
Sarah Cubberley
Kassi Sollace
Nicole Casasanto
Islam H. Zaki
Kyle J. Lafata
Mustafa R. Bashir
16
1
0
09 May 2023
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for
  Interactive Image Segmentation
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentation
Jiacheng Lin
Jiajun Chen
Kailun Yang
Alina Roitberg
Siyu Li
Zhiyong Li
Shutao Li
36
16
0
07 May 2023
Expectation Maximization Pseudo Labels
Expectation Maximization Pseudo Labels
Moucheng Xu
Yukun Zhou
Chen Jin
M. Groot
Daniel C. Alexander
N. Oxtoby
Yipeng Hu
Joseph Jacob
68
2
0
02 May 2023
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using
  Comprehensive Supervisions and Self-training
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training
Han Liu
Zhoubing Xu
Riqiang Gao
Hao Li
Jiadong Wang
G. Chabin
I. Oguz
Sasa Grbic
38
17
0
27 Apr 2023
Mixing Data Augmentation with Preserving Foreground Regions in Medical
  Image Segmentation
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation
Xiaoqing Liu
Kenji Ono
Ryoma Bise
28
4
0
26 Apr 2023
Segment Anything in Medical Images
Segment Anything in Medical Images
Jun Ma
Yuting He
Feifei Li
Li-Jun Han
Chenyu You
Bo Wang
MedIm
VLM
46
453
0
24 Apr 2023
Fed-BioMed: Open, Transparent and Trusted Federated Learning for
  Real-world Healthcare Applications
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications
Francesco Cremonesi
Marc Vesin
Sergen Cansiz
Yannick Bouillard
Irene Balelli
...
B. Houis
R. Modzelewski
O. Humbert
Melek Önen
Marco Lorenzi
FedML
OOD
103
11
0
24 Apr 2023
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical
  Volumetric Segmentation
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation
Jiachen Shen
Wenxuan Wang
Chen Chen
Jianbo Jiao
Jing Liu
Yan Zhang
Shanshan Song
Jiangyun Li
43
1
0
21 Apr 2023
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical
  Images: Accuracy in 12 Datasets
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets
Sheng He
Rina Bao
Jingpeng Li
J. Stout
A. Bjørnerud
P. E. Grant
Yangming Ou
VLM
34
69
0
18 Apr 2023
STU-Net: Scalable and Transferable Medical Image Segmentation Models
  Empowered by Large-Scale Supervised Pre-training
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Ziyan Huang
Hao Wang
Zhongying Deng
Jin Ye
Yanzhou Su
...
Junjun He
Yun Gu
Lixu Gu
Shaoting Zhang
Yu Qiao
21
74
0
13 Apr 2023
SAM Struggles in Concealed Scenes -- Empirical Study on "Segment
  Anything"
SAM Struggles in Concealed Scenes -- Empirical Study on "Segment Anything"
Ge-Peng Ji
Deng-Ping Fan
Peng Xu
Ming-Ming Cheng
Bowen Zhou
Luc Van Gool
31
96
0
12 Apr 2023
Automated computed tomography and magnetic resonance imaging
  segmentation using deep learning: a beginner's guide
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide
Diedre Carmo
G. Pinheiro
Lívia Rodrigues
Thays Abreu
R. Lotufo
Letícia Rittner
OOD
40
4
0
12 Apr 2023
Localise to segment: crop to improve organ at risk segmentation accuracy
Localise to segment: crop to improve organ at risk segmentation accuracy
Abraham George Smith
Denis Kutnár
I. Vogelius
S. Darkner
Jens Petersen
SSeg
25
2
0
10 Apr 2023
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong
  Representation Learner
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner
Yiwen Ye
Yutong Xie
Jianpeng Zhang
Ziyang Chen
Yong-quan Xia
SSL
33
40
0
07 Apr 2023
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For
  Medical Imaging Segmentation
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation
A. Celaya
B. Rivière
David T. Fuentes
16
4
0
05 Apr 2023
U-Netmer: U-Net meets Transformer for medical image segmentation
U-Netmer: U-Net meets Transformer for medical image segmentation
Sheng He
Rina Bao
P. E. Grant
Yangming Ou
ViT
MedIm
25
13
0
03 Apr 2023
Devil is in the Queries: Advancing Mask Transformers for Real-world
  Medical Image Segmentation and Out-of-Distribution Localization
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization
Mingze Yuan
Yingda Xia
Hexin Dong
Zi Chen
Jiawen Yao
...
Bin Dong
Jing Zhou
Le Lu
Ling Zhang
Li Zhang
OOD
MedIm
21
21
0
01 Apr 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
66
13
0
29 Mar 2023
Label-Free Liver Tumor Segmentation
Label-Free Liver Tumor Segmentation
Qixing Hu
Yixiong Chen
Junfei Xiao
Shuwen Sun
Jieneng Chen
Alan Yuille
Zongwei Zhou
VLM
30
57
0
27 Mar 2023
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
Constantin Ulrich
Fabian Isensee
Tassilo Wald
M. Zenk
Michael Baumgartner
Klaus H. Maier-Hein
29
37
0
25 Mar 2023
Optimizing the Procedure of CT Segmentation Labeling
Optimizing the Procedure of CT Segmentation Labeling
Yaroslav Zharov
T. Baumbach
Vincent Heuveline
27
0
0
24 Mar 2023
Boosting Convolution with Efficient MLP-Permutation for Volumetric
  Medical Image Segmentation
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
Yi-Mou Lin
Xiaori Fang
Dong-Ming Zhang
Kwang-Ting Cheng
Hao Chen
MedIm
26
3
0
23 Mar 2023
Large AI Models in Health Informatics: Applications, Challenges, and the
  Future
Large AI Models in Health Informatics: Applications, Challenges, and the Future
Jianing Qiu
Lin Li
Jiankai Sun
Jiachuan Peng
Peilun Shi
...
Bo Xiao
Wu Yuan
Ningli Wang
Dong Xu
Benny Lo
AI4MH
LM&MA
42
127
0
21 Mar 2023
Convolutions, Transformers, and their Ensembles for the Segmentation of
  Organs at Risk in Radiation Treatment of Cervical Cancer
Convolutions, Transformers, and their Ensembles for the Segmentation of Organs at Risk in Radiation Treatment of Cervical Cancer
Vangelis Kostoulas
Peter A. N. Bosman
Tanja Alderliesten
UQCV
28
1
0
20 Mar 2023
Feature Alignment and Uniformity for Test Time Adaptation
Feature Alignment and Uniformity for Test Time Adaptation
Shuai Wang
Daoan Zhang
Zipei Yan
Jiang Zhang
Ruizhen Li
TTA
OOD
32
42
0
20 Mar 2023
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image
  Segmentation
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
Zhaohu Xing
Lei Zhu
Lequan Yu
Zhiheng Xing
Liang Wan
33
8
0
18 Mar 2023
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
Zhaohu Xing
Liang Wan
Huazhu Fu
Guang Yang
Lei Zhu
MedIm
8
48
0
18 Mar 2023
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical
  Imaging Systems
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems
Erik Ostrowski
B. Prabakaran
Muhammad Shafique
19
0
0
14 Mar 2023
ReFit: A Framework for Refinement of Weakly Supervised Semantic
  Segmentation using Object Border Fitting for Medical Images
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images
B. Prabakaran
Erik Ostrowski
Muhammad Shafique
13
1
0
14 Mar 2023
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for
  Semantic Segmentation in Medical Imaging
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging
Zdravko Marinov
Simon Reiß
D. Kersting
Jens Kleesiek
Rainer Stiefelhagen
31
12
0
13 Mar 2023
Token Sparsification for Faster Medical Image Segmentation
Token Sparsification for Faster Medical Image Segmentation
Lei Zhou
Huidong Liu
Joseph Bae
Junjun He
Dimitris Samaras
Prateek Prasanna
MedIm
30
3
0
11 Mar 2023
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for
  Medical Image Segmentation
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation
Ho Hin Lee
Quan Liu
Shunxing Bao
Qi Yang
Xin Yu
L. Cai
Thomas Z. Li
Yuankai Huo
X. Koutsoukos
Bennett A. Landman
25
13
0
10 Mar 2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public
  Benchmark for Pulmonary Airway Segmentation
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation
Minghui Zhang
Yang Wu
Hanxiao Zhang
Yulei Qin
Hao Zheng
...
Raúl San José Estépar
C. Espinosa
Jiayuan Sun
Guang-Zhong Yang
Yun Gu
15
12
0
10 Mar 2023
Bootstrap The Original Latent: Learning a Private Model from a Black-box
  Model
Bootstrap The Original Latent: Learning a Private Model from a Black-box Model
Shuai Wang
Daoan Zhang
Jiang Zhang
Weiwei Zhang
Ruizhen Li
FedML
32
0
0
07 Mar 2023
Leveraging SO(3)-steerable convolutions for pose-robust semantic
  segmentation in 3D medical data
Leveraging SO(3)-steerable convolutions for pose-robust semantic segmentation in 3D medical data
I. Díaz
Mario Geiger
Richard McKinley
3DPC
19
0
0
01 Mar 2023
Frequency Disentangled Learning for Segmentation of Midbrain Structures
  from Quantitative Susceptibility Mapping Data
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data
Guanghui Fu
Gabriel Jimenez
Sophie Loizillon
Lydia Chougar
Didier Dormont
...
Ninon Burgos
Stéphane Lehéricy
Daniel Racoceanu
O. Colliot
the Iceberg Study Group
40
0
0
25 Feb 2023
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic
  Vessels via Cross-attention Mechanism
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism
Haopeng Kuang
Dingkang Yang
Shunli Wang
Xiaoying Wang
Lihua Zhang
MedIm
35
11
0
20 Feb 2023
Constrained Empirical Risk Minimization: Theory and Practice
Constrained Empirical Risk Minimization: Theory and Practice
Eric Marcus
Ray Sheombarsing
J. Sonke
Jonas Teuwen
15
1
0
09 Feb 2023
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight
  Inflation Improves Medical Image Segmentation
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation
Yuhui Zhang
Shihua Huang
Zhengping Zhou
M. Lungren
Serena Yeung
ViT
MedIm
13
8
0
08 Feb 2023
Multi-Modal Evaluation Approach for Medical Image Segmentation
Multi-Modal Evaluation Approach for Medical Image Segmentation
Seyed Mohammad Reza Modaresi
A. Osmani
Mohammadreza Razzazi
A. Chibani
65
1
0
08 Feb 2023
A Generalized Surface Loss for Reducing the Hausdorff Distance in
  Medical Imaging Segmentation
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation
A. Celaya
B. Rivière
David T. Fuentes
MedIm
28
8
0
08 Feb 2023
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor
  Segmentation in PET/CT Images
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images
Gary Y. Li
Junyu Chen
Se-In Jang
Kuang Gong
Quanzheng Li
ViT
MedIm
46
14
0
08 Feb 2023
How Reliable is Your Regression Model's Uncertainty Under Real-World
  Distribution Shifts?
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
OOD
UQCV
44
12
0
07 Feb 2023
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
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