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CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

17 January 2020
A. Emre Kavur
N. Gezer
M. Baris
Sinem Aslan
Pierre-Henri Conze
V. Groza
Duc Duy Pham
S. Chatterjee
Philipp Ernst
Savas Ozkan
Bora Baydar
Dmitrii Lachinov
Shuo Han
J. Pauli
Fabian Isensee
Matthias Perkonigg
R. Sathish
Ronnie Rajan
Debdoot Sheet
Gurbandurdy Dovletov
Oliver Speck
A. Nürnberger
Klaus H. Maier-Hein
G. Akar
Gözde B. Ünal
O. Dicle
M. Alper Selver
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Papers citing "CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation"

50 / 226 papers shown
Title
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
19
3
0
07 Sep 2023
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation
  with Meta-Learning
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning
Yiming Zhang
Tianang Leng
Kun Han
Xiaohui Xie
28
18
0
31 Aug 2023
Tumor-Centered Patching for Enhanced Medical Image Segmentation
Tumor-Centered Patching for Enhanced Medical Image Segmentation
Mutyyba Asghar
A. R. Shahid
Akhtar Jamil
K. Aftab
S. Enam
19
1
0
23 Aug 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in
  Medical Image Segmentation
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation
M. Woodland
Nihil Patel
Mais Al Taie
J. Yung
T. Netherton
Ankit B. Patel
Kristy K. Brock
OOD
30
6
0
07 Aug 2023
Cross-dimensional transfer learning in medical image segmentation with
  deep learning
Cross-dimensional transfer learning in medical image segmentation with deep learning
Hicham Messaoudi
Ahror Belaid
Douraied BEN SALEM
Pierre-Henri Conze
MedIm
22
23
0
29 Jul 2023
Multi-layer Aggregation as a key to feature-based OOD detection
Multi-layer Aggregation as a key to feature-based OOD detection
Benjamin Lambert
Florence Forbes
Senan Doyle
M. Dojat
17
5
0
28 Jul 2023
SL: Stable Learning in Source-Free Domain Adaption for Medical Image
  Segmentation
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation
Yixin Chen
Yan Wang
OOD
17
0
0
24 Jul 2023
Source-Free Domain Adaptation for Medical Image Segmentation via
  Prototype-Anchored Feature Alignment and Contrastive Learning
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning
Qinji Yu
Nan Xi
Junsong Yuan
Ziyu Zhou
K. Dang
Xiucai Ding
OOD
MedIm
38
14
0
19 Jul 2023
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image
  Segmentation
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation
Zhaoxin Fan
Puquan Pan
Zeren Zhang
C. Chen
Tianyang Wang
Si Zheng
Min Xu
VLM
26
0
0
13 Jul 2023
Self-supervised learning via inter-modal reconstruction and feature
  projection networks for label-efficient 3D-to-2D segmentation
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation
José Morano
Guilherme Aresta
Dmitrii Lachinov
Julia Mai
U. Schmidt-Erfurth
Hrvoje Bogunović
17
3
0
06 Jul 2023
MDViT: Multi-domain Vision Transformer for Small Medical Image
  Segmentation Datasets
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets
Siyi Du
Nourhan Bayasi
Ghassan Hamarneh
Rafeef Garbi
ViT
16
18
0
05 Jul 2023
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors,
  and renal cysts in corticomedullary-phase CT
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT
N. Heller
Fabian Isensee
D. Trofimova
R. Tejpaul
Zhongchen Zhao
...
Susan Austin
M. Austin
S. Regmi
Nikolaos Papanikolopoulos
C. Weight
11
66
0
05 Jul 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
18
3
0
26 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
18
4
0
18 Jun 2023
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal
  Segmentation
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation
Zhusi Zhong
Jie Li
Lulu Bi
Li Yang
I. Kamel
Ramalingam Chellappa
Xinbo Gao
Harrison X. Bai
Zhicheng Jiao
OOD
MedIm
11
0
0
14 Jun 2023
Unsupervised augmentation optimization for few-shot medical image
  segmentation
Unsupervised augmentation optimization for few-shot medical image segmentation
Quan Quan
Shang Zhao
Qingsong Yao
Heqin Zhu
S. Kevin Zhou
29
1
0
08 Jun 2023
Conditional Diffusion Models for Weakly Supervised Medical Image
  Segmentation
Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation
Xinrong Hu
Yu-Jen Chen
Tsung-Yi Ho
Yiyu Shi
DiffM
MedIm
19
15
0
06 Jun 2023
Instructive Feature Enhancement for Dichotomous Medical Image
  Segmentation
Instructive Feature Enhancement for Dichotomous Medical Image Segmentation
Lian Liu
Hangyu Zhou
Jiongquan Chen
Sijing Liu
Wenlong Shi
Dong Ni
Deng-Ping Fan
Xin Yang
24
5
0
06 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
23
12
0
04 Jun 2023
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image
  Segmentation
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
Yifan Gao
W. Xia
Dingdu Hu
Wenkui Wang
Xin Gao
OOD
VLM
MedIm
16
29
0
01 Jun 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
19
16
0
29 May 2023
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for
  Slice-Direction Continuous Cross-Modality Medical Image Segmentation
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation
Hyungseob Shin
Hyeongyu Kim
Sewon Kim
Yohan Jun
Taejoon Eo
D. Hwang
9
23
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-Qin Zhang
Yanfeng Wang
Weidi Xie
LM&MA
38
152
0
17 May 2023
One-Prompt to Segment All Medical Images
One-Prompt to Segment All Medical Images
Junde Wu
Jiayuan Zhu
Yueming Jin
Min Xu
VLM
MedIm
21
28
0
17 May 2023
SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain
  Adaptation
SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation
Xinwen Zhang
Chaoyi Zhang
Dongnan Liu
Qianbi Yu
Weidong (Tom) Cai
MedIm
22
0
0
07 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
J. Wang
G. Chabin
I. Oguz
Sasa Grbic
33
17
0
27 Apr 2023
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain
  Adaptation of Medical Image Segmentation
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation
Yan Wang
Jian Cheng
Yixin Chen
Shuai Shao
Lanyun Zhu
Zhenzhou Wu
T. Liu
Haogang Zhu
OOD
MedIm
58
25
0
26 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
36
448
0
24 Apr 2023
Few-shot Medical Image Segmentation via Cross-Reference Transformer
Few-shot Medical Image Segmentation via Cross-Reference Transformer
Yao-Pin Huang
Jianming Liu
ViT
MedIm
OOD
19
0
0
19 Apr 2023
UniverSeg: Universal Medical Image Segmentation
UniverSeg: Universal Medical Image Segmentation
V. Butoi
Jose Javier Gonzalez Ortiz
Tianyu Ma
M. Sabuncu
John Guttag
Adrian V. Dalca
30
71
0
12 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
57
12
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
Few Shot Medical Image Segmentation with Cross Attention Transformer
Few Shot Medical Image Segmentation with Cross Attention Transformer
Yi-Mou Lin
Yufan Chen
Kwang-Ting Cheng
Hao Chen
ViT
MedIm
29
16
0
24 Mar 2023
Towards more precise automatic analysis: a comprehensive survey of deep
  learning-based multi-organ segmentation
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation
Xiaoyu Liu
Linhao Qu
Ziyue Xie
Jiayue Zhao
Yonghong Shi
Zhijian Song
23
6
0
01 Mar 2023
Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from
  Dynamic Perfusion Scans using Time Separation Technique
Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique
S. Chatterjee
Hana Haseljić
R. Frysch
V. Kulvait
V. Semshchikov
...
Inga Brüsch
T. Werncke
Oliver Speck
A. Nürnberger
G. Rose
20
0
0
09 Feb 2023
UnICLAM:Contrastive Representation Learning with Adversarial Masking for
  Unified and Interpretable Medical Vision Question Answering
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering
Chenlu Zhan
Peng Peng
Hongsen Wang
Tao Chen
Hongwei Wang
MedIm
18
3
0
21 Dec 2022
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Hao Ding
Changchang Sun
Hao Tang
Dawen Cai
Yan Yan
34
45
0
07 Dec 2022
LE-UDA: Label-efficient unsupervised domain adaptation for medical image
  segmentation
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation
Ziyuan Zhao
Fangcheng Zhou
Kaixin Xu
Zeng Zeng
Cuntai Guan
S Kevin Zhou
OOD
29
43
0
05 Dec 2022
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality
  Domain Adaptation on Medical Image Segmentation
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation
Shaolei Liu
Siqi Yin
Linhao Qu
Manning Wang
OOD
14
11
0
28 Nov 2022
Rethinking Data Augmentation for Single-source Domain Generalization in
  Medical Image Segmentation
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation
Zixian Su
Kai Yao
Xi Yang
Qiufeng Wang
Jie Sun
Kaizhu Huang
21
63
0
27 Nov 2022
Vision Transformers in Medical Imaging: A Review
Vision Transformers in Medical Imaging: A Review
Emerald U. Henry
Onyeka Emebob
C. Omonhinmin
ViT
MedIm
22
34
0
18 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
24
38
0
17 Nov 2022
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information
  Fusion for 3D Object Segmentation
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation
Cheng Li
Y. Osman
Weijian Huang
Zhen-long Xue
H. Han
Hairong Zheng
Shanshan Wang
11
1
0
16 Nov 2022
Learning from partially labeled data for multi-organ and tumor
  segmentation
Learning from partially labeled data for multi-organ and tumor segmentation
Yutong Xie
Jianpeng Zhang
Yong-quan Xia
Chunhua Shen
MedIm
ViT
28
18
0
13 Nov 2022
Knowledge Distillation from Cross Teaching Teachers for Efficient
  Semi-Supervised Abdominal Organ Segmentation in CT
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CT
Jae Won Choi
21
4
0
11 Nov 2022
MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination
  of Multi-Sequence CMR Images
MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR Images
Junyi Qiu
Lei Li
Sihan Wang
Kecheng Zhang
Yinyin Chen
Shan Yang
Xiahai Zhuang
18
28
0
06 Nov 2022
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image
  Segmentation
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation
Hui Zhu
Shi Shu
Jianping Zhang
SSeg
8
6
0
27 Oct 2022
Synthetic Tumors Make AI Segment Tumors Better
Synthetic Tumors Make AI Segment Tumors Better
Qixing Hu
Junfei Xiao
Yixiong Chen
Shuwen Sun
Jieneng Chen
Alan Yuille
Zongwei Zhou
MedIm
25
11
0
26 Oct 2022
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for
  Medical Image Segmentation
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation
Zefan Yang
Di Lin
Dong Ni
Yi Wang
15
12
0
20 Oct 2022
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