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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
Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023
  Challenge
Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge
Andriy Myronenko
Dong Yang
Yufan He
Daguang Xu
28
10
0
06 Oct 2023
Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image
  Segmentation
Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation
Xiangru Li
Yifei Zhang
Liang Zhao
MedIm
VLM
27
2
0
03 Oct 2023
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image
  Segmentation with Depthwise Deformable Convolution
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution
Ho Hin Lee
Quan Liu
Qi Yang
Xin Yu
Shunxing Bao
Yuankai Huo
Bennett A. Landman
MedIm
17
2
0
30 Sep 2023
Benchmarking Collaborative Learning Methods Cost-Effectiveness for
  Prostate Segmentation
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation
Lucia Innocenti
Michela Antonelli
Francesco Cremonesi
Kenaan Sarhan
Alejandro Granados
Vicky Goh
Sebastien Ourselin
Marco Lorenzi
FedML
26
2
0
29 Sep 2023
Discrepancy Matters: Learning from Inconsistent Decoder Features for
  Consistent Semi-supervised Medical Image Segmentation
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Ziling Lu
Mengkang Lu
Yong-quan Xia
28
4
0
26 Sep 2023
Look Ma, no code: fine tuning nnU-Net for the AutoPET II challenge by
  only adjusting its JSON plans
Look Ma, no code: fine tuning nnU-Net for the AutoPET II challenge by only adjusting its JSON plans
Fabian Isensee
Klaus H. Maier-Hein
29
2
0
24 Sep 2023
Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D
  Shape Reconstruction
Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction
M. Shakya
Bishesh Khanal
22
1
0
24 Sep 2023
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
Shuang Zeng
Lei Zhu
Xinliang Zhang
Qian Chen
Hangzhou He
...
Zhaoheng Xie
Yanye Lu
Qiushi Ren
Zhaoheng Xie
Yanye Lu
30
0
0
21 Sep 2023
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation
  with Multi-Perspective Meta Labels
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels
YiXuan Wu
Jintai Chen
Jiahuan Yan
Yiheng Zhu
Danny Chen
Jian Wu
VLM
29
6
0
16 Sep 2023
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image
  Segmentation
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation
Cheng Chen
Juzheng Miao
Dufan Wu
Zhiling Yan
Sekeun Kim
...
Lichao Sun
Xiang Li
Tianming Liu
Pheng-Ann Heng
Quanzheng Li
MedIm
53
58
0
16 Sep 2023
RecycleNet: Latent Feature Recycling Leads to Iterative Decision
  Refinement
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement
Gregor Koehler
Tassilo Wald
Constantin Ulrich
David Zimmerer
Paul F. Jaeger
Jorg K. H. Franke
Simon A. A. Kohl
Fabian Isensee
Klaus H. Maier-Hein
21
0
0
14 Sep 2023
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal
  Multi-Organ Segmentation
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Ziyan Huang
Zhongying Deng
Jin Ye
Haoyu Wang
Yan-Cheng Su
...
Junjun He
Yun Gu
Shaoting Zhang
Lixu Gu
Yu Qiao
ELM
24
3
0
07 Sep 2023
M3D-NCA: Robust 3D Segmentation with Built-in Quality Control
M3D-NCA: Robust 3D Segmentation with Built-in Quality Control
John Kalkhof
Anirban Mukhopadhyay
21
10
0
06 Sep 2023
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation
Ramtin Mojtahedi
M. Hamghalam
Richard K G Do
Amber L. Simpson
ViT
MedIm
22
7
0
31 Aug 2023
Attention-based CT Scan Interpolation for Lesion Segmentation of
  Colorectal Liver Metastases
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases
M. Hamghalam
Richard K G Do
Amber L. Simpson
MedIm
24
4
0
30 Aug 2023
Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ
  Segmentation
Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ Segmentation
Mingjin Chen
Yongkang He
Yongyi Lu
Zhi-Yi Yang
MedIm
19
1
0
17 Aug 2023
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark
  Model for Rectal Cancer Segmentation
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation
Han-Di Zhang
Wei-Ting Guo
Chenyang Qiu
Shouhong Wan
Bingbing Zou
Wanqin Wang
Peiquan Jin
15
4
0
16 Aug 2023
Deep Learning Framework for Spleen Volume Estimation from 2D
  Cross-sectional Views
Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views
Z. Yuan
Esther Puyol-Antón
Haran Jogeesvaran
B. Inusa
A. King
21
0
0
15 Aug 2023
CATS v2: Hybrid encoders for robust medical segmentation
CATS v2: Hybrid encoders for robust medical segmentation
Hao Li
Han Liu
Dewei Hu
Xing Yao
Jiacheng Wang
I. Oguz
MedIm
ViT
24
2
0
11 Aug 2023
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ
  Quantification: the FLARE22 Challenge
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge
Jun Ma
Y. Zhang
Song Gu
Cheng Ge
Shih-Ya Ma
...
Qiongjie Zhu
Guoqiang Dong
Jian He
the Flare Challenge Consortium
Bohui Wang
39
65
0
10 Aug 2023
Early Detection and Localization of Pancreatic Cancer by Label-Free
  Tumor Synthesis
Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis
Bowen Li
Yu-Cheng Chou
Shuwen Sun
Hualin Qiao
Alan Yuille
Zongwei Zhou
16
14
0
06 Aug 2023
AC-Norm: Effective Tuning for Medical Image Analysis via Affine
  Collaborative Normalization
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization
Chuyan Zhang
Yuncheng Yang
Hao Zheng
Yun Gu
29
0
0
28 Jul 2023
Generative AI for Medical Imaging: extending the MONAI Framework
Generative AI for Medical Imaging: extending the MONAI Framework
W. H. Pinaya
M. Graham
E. Kerfoot
Petru-Daniel Tudosiu
J. Dafflon
...
Andrew Feng
Marc Modat
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
SyDa
MedIm
45
64
0
27 Jul 2023
vox2vec: A Framework for Self-supervised Contrastive Learning of
  Voxel-level Representations in Medical Images
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images
M. Goncharov
Vera Soboleva
Anvar Kurmukov
Maxim Pisov
Mikhail Belyaev
SSL
15
10
0
27 Jul 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais
Muzammal Naseer
Salman Khan
Rao Muhammad Anwer
Hisham Cholakkal
M. Shah
Ming Yang
F. Khan
VLM
38
118
0
25 Jul 2023
Towards Unifying Anatomy Segmentation: Automated Generation of a
  Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
A. Jaus
C. Seibold
Kelsey Hermann
Alexandra Walter
K. Giske
Johannes Haubold
Jens Kleesiek
Rainer Stiefelhagen
39
19
0
25 Jul 2023
Spatiotemporal Modeling Encounters 3D Medical Image Analysis:
  Slice-Shift UNet with Multi-View Fusion
Spatiotemporal Modeling Encounters 3D Medical Image Analysis: Slice-Shift UNet with Multi-View Fusion
C. Ugwu
S. Casarin
Oswald Lanz
21
0
0
24 Jul 2023
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image
  Segmentation
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation
Yiqing Wang
Zihan Li
Jieru Mei
Zi-Ying Wei
Li Liu
Chen Wang
Shengtian Sang
Alan Yuille
Cihang Xie
Yuyin Zhou
ViT
MedIm
20
31
0
24 Jul 2023
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical
  Image Segmentation
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation
Han Liu
Hao Li
Xing Yao
Yubo Fan
Dewei Hu
Benoit M. Dawant
V. Nath
Zhoubing Xu
I. Oguz
VLM
40
10
0
22 Jul 2023
Pick the Best Pre-trained Model: Towards Transferability Estimation for
  Medical Image Segmentation
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation
Yuncheng Yang
Meng Wei
Junjun He
J. Yang
Jin Ye
Yun Gu
38
6
0
22 Jul 2023
Confidence Intervals for Performance Estimates in Brain MRI Segmentation
Confidence Intervals for Performance Estimates in Brain MRI Segmentation
Rosana El Jurdi
Gaël Varoquaux
O. Colliot
12
1
0
20 Jul 2023
Interpretable 2D Vision Models for 3D Medical Images
Interpretable 2D Vision Models for 3D Medical Images
Alexander Ziller
Ayhan Can Erdur
Marwa Trigui
Alp Guvenir
Tamara T. Mueller
...
Johannes Brandt
J. Peeken
R. Braren
Daniel Rueckert
Georgios Kaissis
MedIm
19
0
0
13 Jul 2023
$\mathrm{SAM^{Med}}$: A medical image annotation framework based on
  large vision model
SAMMed\mathrm{SAM^{Med}}SAMMed: A medical image annotation framework based on large vision model
Chenglong Wang
Dexuan Li
Sucheng Wang
Chengxiu Zhang
Yida Wang
Yun-hui Liu
Guang Yang
VLM
MedIm
34
19
0
11 Jul 2023
Unsupervised 3D out-of-distribution detection with latent diffusion
  models
Unsupervised 3D out-of-distribution detection with latent diffusion models
M. Graham
W. H. Pinaya
P. Wright
Petru-Daniel Tudosiu
Y. Mah
...
H. Jäger
D. Werring
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
DiffM
MedIm
25
9
0
07 Jul 2023
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for
  Robust 3D Medical Image Segmentation
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
Jingjie Guo
Weitong Zhang
Matthew Sinclair
Daniel Rueckert
Chia-Ju Chen
OOD
27
2
0
02 Jul 2023
Transformers in Healthcare: A Survey
Transformers in Healthcare: A Survey
Subhash Nerella
S. Bandyopadhyay
Jiaqing Zhang
Miguel Contreras
Scott Siegel
...
Jessica Sena
B. Shickel
A. Bihorac
Kia Khezeli
Parisa Rashidi
MedIm
AI4CE
21
25
0
30 Jun 2023
A Cascaded Approach for ultraly High Performance Lesion Detection and
  False Positive Removal in Liver CT Scans
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans
Fakai Wang
Chi-Tung Cheng
Chien-Wei Peng
K. Yan
Min Wu
Le Lu
Chien-Hung Liao
Ling Zhang
MedIm
16
4
0
28 Jun 2023
Phase Unwrapping of Color Doppler Echocardiography using Deep Learning
Phase Unwrapping of Color Doppler Echocardiography using Deep Learning
Han Ling
Olivier Bernard
N. Ducros
Damien Garcia
MedIm
19
5
0
23 Jun 2023
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable
  Medical Image Segmentation
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation
Shizhan Gong
Yuan Zhong
Wenao Ma
Jinpeng Li
Zhao Wang
Jingyang Zhang
Pheng-Ann Heng
Qi Dou
MedIm
20
72
0
23 Jun 2023
Lumbar spine segmentation in MR images: a dataset and a public benchmark
Lumbar spine segmentation in MR images: a dataset and a public benchmark
J. W. V. D. Graaf
M. Hooff
C. Buckens
Matthieu Rutten
J. V. Susante
R. Kroeze
M. Kleuver
Bram van Ginneken
Nikolas Lessmann
16
33
0
21 Jun 2023
The STOIC2021 COVID-19 AI challenge: applying reusable training
  methodologies to private data
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
L. Boulogne
Julian Lorenz
Daniel Kienzle
Robin Schon
K. Ludwig
...
C. Russ
R. Ionasec
Nikos Paragios
Bram van Ginneken
Marieke Dubois
26
4
0
18 Jun 2023
MedFMC: A Real-world Dataset and Benchmark For Foundation Model
  Adaptation in Medical Image Classification
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification
Dequan Wang
Xiaosong Wang
Lilong Wang
Mengzhang Li
Q. Da
...
Qi Duan
Jie Zhao
Kang Li
Yu Qiao
Shaoting Zhang
VLM
MedIm
20
33
0
16 Jun 2023
The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders:
  Perspectives and Use Cases
The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Cases
Jiancheng Yang
Hongwei Bran Li
D. Wei
LM&MA
MedIm
AI4MH
8
28
0
11 Jun 2023
On the Challenges and Perspectives of Foundation Models for Medical
  Image Analysis
On the Challenges and Perspectives of Foundation Models for Medical Image Analysis
Shaoting Zhang
Dimitris N. Metaxas
LM&MA
VLM
MedIm
AI4CE
36
128
0
09 Jun 2023
Generative Text-Guided 3D Vision-Language Pretraining for Unified
  Medical Image Segmentation
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation
Yinda Chen
Che Liu
Wei Huang
Sibo Cheng
Rossella Arcucci
Zhiwei Xiong
VLM
MedIm
26
48
0
07 Jun 2023
Training Like a Medical Resident: Context-Prior Learning Toward
  Universal Medical Image Segmentation
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
Yunhe Gao
Zhuowei Li
Di Liu
Mu Zhou
Shaoting Zhang
Dimitris N. Metaxas
MedIm
31
12
0
04 Jun 2023
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
Junyuan Hong
Yi Zeng
Shuyang Yu
Lingjuan Lyu
R. Jia
Jiayu Zhou
AAML
11
8
0
04 Jun 2023
Enrichment of the NLST and NSCLC-Radiomics computed tomography
  collections with AI-derived annotations
Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations
Deepa Krishnaswamy
Dennis Bontempi
V. Thiriveedhi
D. Punzo
David Clunie
Christopher P. Bridge
Hugo J. W. L. Aerts
Ron Kikinis
Andrey Fedorov
16
3
0
31 May 2023
Attention Mechanisms in Medical Image Segmentation: A Survey
Attention Mechanisms in Medical Image Segmentation: A Survey
Yutong Xie
Bing Yang
Qi Guan
Jianpeng Zhang
Qi Wu
Yong-quan Xia
ViT
MedIm
25
16
0
29 May 2023
ISLE: An Intelligent Streaming Framework for High-Throughput AI
  Inference in Medical Imaging
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging
Pranav Kulkarni
Sean Garin
Adway U. Kanhere
E. Siegel
P. Yi
Vishwa S. Parekh
MedIm
16
0
0
24 May 2023
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