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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
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic
  Segmentation
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
Hairong Shi
Songhao Han
Shaofei Huang
Yue Liao
Guanbin Li
Xiangxing Kong
Hua Zhu
Xiaomu Wang
Si Liu
MedIm
32
3
0
09 Mar 2024
Embedded Deployment of Semantic Segmentation in Medicine through
  Low-Resolution Inputs
Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs
Erik Ostrowski
Muhammad Shafique
SSeg
29
0
0
08 Mar 2024
A Probabilistic Hadamard U-Net for MRI Bias Field Correction
A Probabilistic Hadamard U-Net for MRI Bias Field Correction
Xin Zhu
Hongyi Pan
Yury Velichko
Adam B. Murphy
Ashley Ross
B. Turkbey
Ahmet Enis Cetin
Ulas Bagci
14
1
0
08 Mar 2024
YOLO-MED : Multi-Task Interaction Network for Biomedical Images
YOLO-MED : Multi-Task Interaction Network for Biomedical Images
Suizhi Huang
Shalayiding Sirejiding
Yuxiang Lu
Yue Ding
Leheng Liu
Hui Zhou
Hongtao Lu
43
3
0
01 Mar 2024
Towards Generalizable Tumor Synthesis
Towards Generalizable Tumor Synthesis
Qi Chen
Xiaoxi Chen
Haorui Song
Zhiwei Xiong
Alan L. Yuille
Chen Wei
Zongwei Zhou
MedIm
50
41
0
29 Feb 2024
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing
  Medical Image Analysis
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis
Charulkumar Chodvadiya
Navyansh Mahla
Kinshuk Gaurav Singh
Kshitij S. Jadhav
26
0
0
13 Feb 2024
Beyond Strong labels: Weakly-supervised Learning Based on Gaussian
  Pseudo Labels for The Segmentation of Ellipse-like Vascular Structures in
  Non-contrast CTs
Beyond Strong labels: Weakly-supervised Learning Based on Gaussian Pseudo Labels for The Segmentation of Ellipse-like Vascular Structures in Non-contrast CTs
Qixiang Ma
Antoine Lucas
Huazhong Shu
A. Kaladji
P. Haigron
26
0
0
05 Feb 2024
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning
  Models for Thoracic Anatomical Segmentation
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation
Arash Harirpoush
Amir Rasoulian
Marta Kersten-Oertel
Yiming Xiao
3DV
6
0
0
05 Feb 2024
Combining the Strengths of Dutch Survey and Register Data in a Data
  Challenge to Predict Fertility (PreFer)
Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer)
E. Sivak
Paulina Pankowska
Adrienne Mendrik
Tom Emery
Javier Garcia-Bernardo
...
Kasia Karpinska
Angelica Maineri
J. Mulder
Malvina Nissim
Gert Stulp
33
1
0
01 Feb 2024
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
Yunkang Cao
Xiaohao Xu
Jiangning Zhang
Yuqi Cheng
Xiaonan Huang
Guansong Pang
Weiming Shen
83
41
0
29 Jan 2024
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based
  Constraints
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints
Balamurali Murugesan
Sukesh Adiga Vasudeva
Bingyuan Liu
H. Lombaert
Ismail Ben Ayed
Jose Dolz
UQCV
42
5
0
25 Jan 2024
Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner
  UNet
Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet
S. Pandey
Satyasaran Changdar
Mathias Perslev
Erik Dam
28
1
0
12 Jan 2024
Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors
Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors
T. Mathai
Bohan Liu
Ronald M. Summers
30
7
0
11 Jan 2024
Primitive Geometry Segment Pre-training for 3D Medical Image
  Segmentation
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation
Ryu Tadokoro
Ryosuke Yamada
Kodai Nakashima
Ryo Nakamura
Hirokatsu Kataoka
33
4
0
08 Jan 2024
Segment Anything Model for Medical Image Segmentation: Current
  Applications and Future Directions
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
Yichi Zhang
Zhenrong Shen
Rushi Jiao
VLM
MedIm
28
114
0
07 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of
  Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
55
11
0
28 Dec 2023
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
Ziheng Zhao
Yao Zhang
Chaoyi Wu
Xiaoman Zhang
Ya Zhang
Yanfeng Wang
Weidi Xie
VLM
MedIm
32
37
0
28 Dec 2023
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
S. Chatterjee
Franziska Gaidzik
Alessandro Sciarra
Hendrik Mattern
G. Janiga
Oliver Speck
Andreas Nürnberger
S. Pathiraja
49
0
0
25 Dec 2023
Testing the Segment Anything Model on radiology data
Testing the Segment Anything Model on radiology data
J. Almeida
N. M. Rodrigues
Sara Silva
Nickolas Papanikolaou
MedIm
VLM
47
1
0
20 Dec 2023
Benchmarking Pretrained Vision Embeddings for Near- and Duplicate
  Detection in Medical Images
Benchmarking Pretrained Vision Embeddings for Near- and Duplicate Detection in Medical Images
Tuan Truong
Farnaz Khun Jush
Matthias Lenga
31
2
0
12 Dec 2023
Building Universal Foundation Models for Medical Image Analysis with
  Spatially Adaptive Networks
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive Networks
Lingxiao Luo
Xuanzhong Chen
Bingda Tang
Xinsheng Chen
Rong Han
Chengpeng Hu
Yujiang Li
Ting Chen
MedIm
26
2
0
12 Dec 2023
gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic
  Segmentation
gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation
Hui Xie
Weiyu Xu
Ya Xing Wang
John Buatti
Xiaodong Wu
SSeg
26
1
0
07 Dec 2023
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and
  Self-Prompting
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
Yankai Jiang
Zhongzhen Huang
Rongzhao Zhang
Xiaofan Zhang
Shaoting Zhang
VLM
42
10
0
07 Dec 2023
Reconciling AI Performance and Data Reconstruction Resilience for
  Medical Imaging
Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging
Alexander Ziller
Tamara T. Mueller
Simon Stieger
Leonhard F. Feiner
Johannes Brandt
R. Braren
Daniel Rueckert
Georgios Kaissis
58
1
0
05 Dec 2023
Towards General Purpose Vision Foundation Models for Medical Image
  Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks
Towards General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks
Mohammed Baharoon
Waseem Qureshi
J. Ouyang
Yanwu Xu
Abdulrhman Aljouie
Wei Peng
MedIm
AI4CE
45
8
0
04 Dec 2023
Parameter Efficient Fine-tuning via Cross Block Orchestration for
  Segment Anything Model
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
Zelin Peng
Zhengqin Xu
Zhilin Zeng
Lingxi Xie
Qi Tian
Wei Shen
17
10
0
28 Nov 2023
View it like a radiologist: Shifted windows for deep learning
  augmentation of CT images
View it like a radiologist: Shifted windows for deep learning augmentation of CT images
E. A. Østmo
Kristoffer Wickstrøm
Keyur Radiya
Michael C. Kampffmeyer
Robert Jenssen
OOD
MedIm
44
0
0
25 Nov 2023
Deep Interactive Segmentation of Medical Images: A Systematic Review and
  Taxonomy
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
Zdravko Marinov
Paul F. Jäger
Jan Egger
Jens Kleesiek
Rainer Stiefelhagen
38
17
0
23 Nov 2023
3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in
  Radiology
3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology
Asma Ben Abacha
Alberto Santamaría-Pang
Ho Hin Lee
J. Merkow
Qin Cai
...
Julia Gong
M. Lungren
Thomas Lin
Noel C. F. Codella
Ivan Tarapov
31
5
0
23 Nov 2023
Feature Extraction for Generative Medical Imaging Evaluation: New
  Evidence Against an Evolving Trend
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend
M. Woodland
Austin Castelo
Mais Al Taie
Jessica Albuquerque Marques Silva
Mohamed Eltaher
...
Austin Castelo
Suprateek Kundu
Joshua P. Yung
Ankit B. Patel
Kristy K. Brock
MedIm
AAML
43
10
0
22 Nov 2023
Medical Image Retrieval Using Pretrained Embeddings
Medical Image Retrieval Using Pretrained Embeddings
Farnaz Khun Jush
Tuan Truong
Steffen Vogler
Matthias Lenga
31
6
0
22 Nov 2023
Deep Learning for Vascular Segmentation and Applications in Phase
  Contrast Tomography Imaging
Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging
Ekin Yagis
S. Aslani
Yashvardhan Jain
Yang Zhou
Shahrokh Rahmani
...
M. Ackermann
D. Jonigk
Paul Tafforeau
Peter D Lee
Claire L. Walsh
42
4
0
22 Nov 2023
Leveraging Unlabeled Data for 3D Medical Image Segmentation through
  Self-Supervised Contrastive Learning
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning
Sanaz Karimijafarbigloo
Reza Azad
Yury Velichko
Ulas Bagci
Dorit Merhof
44
1
0
21 Nov 2023
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20
  Million masks
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks
Jin Ye
Junlong Cheng
Jianpin Chen
Zhongying Deng
Tian-Xin Li
...
Hui Sun
Min Zhu
Shaoting Zhang
Junjun He
Yu Qiao
VLM
MedIm
37
37
0
20 Nov 2023
Kandinsky Conformal Prediction: Efficient Calibration of Image
  Segmentation Algorithms
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms
J. Brunekreef
Eric Marcus
Ray Sheombarsing
J. Sonke
Jonas Teuwen
34
4
0
20 Nov 2023
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image
  Segmentation
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Zilin Lu
Mengkang Lu
Yicheng Wu
Yong-quan Xia
36
3
0
20 Nov 2023
A Survey of Emerging Applications of Diffusion Probabilistic Models in
  MRI
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI
Yuheng Fan
Hanxi Liao
Shiqi Huang
Yimin Luo
Huazhu Fu
Haikun Qi
MedIm
35
18
0
19 Nov 2023
Overcoming Data Scarcity in Biomedical Imaging with a Foundational
  Multi-Task Model
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model
Raphael Schäfer
Till Nicke
Henning Höfener
Annkristin Lange
Dorit Merhof
Friedrich Feuerhake
Volkmar Schulz
Johannes Lotz
Fabian Kiessling
VLM
22
17
0
16 Nov 2023
Slide-SAM: Medical SAM Meets Sliding Window
Slide-SAM: Medical SAM Meets Sliding Window
Quan Quan
Fenghe Tang
Zikang Xu
Heqin Zhu
S.Kevin Zhou
VLM
MedIm
28
8
0
16 Nov 2023
Assessing Test-time Variability for Interactive 3D Medical Image
  Segmentation with Diverse Point Prompts
Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts
Hao Li
Han Liu
Dewei Hu
Jiacheng Wang
I. Oguz
33
7
0
13 Nov 2023
3DGAUnet: 3D generative adversarial networks with a 3D U-Net based
  generator to achieve the accurate and effective synthesis of clinical tumor
  image data for pancreatic cancer
3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer
Yu Shi
Hannah Tang
M. Baine
M. A. Hollingsworth
Huijing Du
Dandan Zheng
Chi Zhang
Hongfeng Yu
MedIm
11
5
0
09 Nov 2023
Continual atlas-based segmentation of prostate MRI
Continual atlas-based segmentation of prostate MRI
Amin Ranem
Camila González
Daniel Pinto dos Santos
Andreas M. Bucher
Ahmed Othman
Anirban Mukhopadhyay
20
4
0
01 Nov 2023
AutoCT: Automated CT registration, segmentation, and quantification
AutoCT: Automated CT registration, segmentation, and quantification
Zhe Bai
Abdelilah Essiari
T. Perciano
Kristofer E. Bouchard
19
0
0
26 Oct 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
46
22
0
22 Oct 2023
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided
  Diffusion Model
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
Zheyu Zhang
Lanhong Yao
Bin Wang
Debesh Jha
Elif Keles
Alpay Medetalibeyoglu
Ulas Bagci
MedIm
46
10
0
19 Oct 2023
An Image is Worth Multiple Words: Discovering Object Level Concepts
  using Multi-Concept Prompt Learning
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
Chen Jin
Ryutaro Tanno
Amrutha Saseendran
Tom Diethe
Philip Teare
19
2
0
18 Oct 2023
A Multi-Scale Spatial Transformer U-Net for Simultaneously Automatic
  Reorientation and Segmentation of 3D Nuclear Cardiac Images
A Multi-Scale Spatial Transformer U-Net for Simultaneously Automatic Reorientation and Segmentation of 3D Nuclear Cardiac Images
Yangfan Ni
Duo Zhang
Gege Ma
Lijun Lu
Zhongke Huang
Wentao Zhu
MedIm
21
2
0
16 Oct 2023
3D TransUNet: Advancing Medical Image Segmentation through Vision
  Transformers
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers
Jieneng Chen
Jieru Mei
Xianhang Li
Yongyi Lu
Qihang Yu
...
M. Lungren
Lei Xing
Le Lu
Alan L. Yuille
Yuyin Zhou
MedIm
ViT
35
36
0
11 Oct 2023
Compositional Representation Learning for Brain Tumour Segmentation
Compositional Representation Learning for Brain Tumour Segmentation
Xiao Liu
Antanas Kascenas
Hannah I. Watson
Sotirios A. Tsaftaris
Alison Q. OÑeil
29
1
0
10 Oct 2023
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with
  Imperfect Anatomical Knowledge
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical Knowledge
Rongzhao Zhang
Zhian Bai
Ruoying Yu
Wenrao Pang
Lingyun Wang
Lifeng Zhu
Xiaofan Zhang
Huan Zhang
Weiguo Hu
33
1
0
07 Oct 2023
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