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Papers
2008.07149
Cited By

Multi-organ Segmentation via Co-training Weight-averaged Models from
Few-organ Datasets

Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets

17 August 2020

ArXiv (abs)PDF HTML

Papers citing "Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets"

28 / 28 papers shown

Exploiting Unlabeled Structures through Task Consistency Training for Versatile Medical Image Segmentation

Exploiting Unlabeled Structures through Task Consistency Training for Versatile Medical Image Segmentation

208

0

0

05 Sep 2025

CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation

CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation

488

0

0

25 May 2025

MO-CTranS: A unified multi-organ segmentation model learning from multiple heterogeneously labelled datasets

MO-CTranS: A unified multi-organ segmentation model learning from multiple heterogeneously labelled datasetsIEEE International Symposium on Biomedical Imaging (ISBI), 2025

Stamatios N. Sotiropoulos

Andrew P French

204

0

0

28 Mar 2025

Show and Segment: Universal Medical Image Segmentation via In-Context Learning

Show and Segment: Universal Medical Image Segmentation via In-Context LearningComputer Vision and Pattern Recognition (CVPR), 2025

Dimitris N. Metaxas

454

13

0

25 Mar 2025

Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation

Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation

Rick Siow Mong Goh

164

2

0

07 Mar 2025

MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven
Universal Model

MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model

Yiwen Ye

Ziyang Chen

Yutong Xie

Yong Xia

168

10

0

08 Oct 2024

Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised
Multi-Organ Medical Image Segmentation

Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image Segmentation

Dong Zhang

Xiang Li

Kwang-Ting Cheng

258

2

0

05 Sep 2024

Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ
Segmentation

Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation

259

3

0

17 Jul 2024

Versatile Medical Image Segmentation Learned from Multi-Source Datasets
via Model Self-Disambiguation

Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation

323

16

0

17 Nov 2023

ConDistFL: Conditional Distillation for Federated Learning from
Partially Annotated Data

ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data

195

6

0

08 Aug 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 SegmentationComputer Vision and Pattern Recognition (CVPR), 2023

Di Liu

Dimitris N. Metaxas

333

35

0

04 Jun 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-trainingIEEE Transactions on Medical Imaging (TMI), 2023

Hao Li

451

37

0

27 Apr 2023

MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation

MultiTalent: A Multi-Dataset Approach to Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023

Constantin Ulrich

Michael Baumgartner

Klaus H. Maier-Hein

273

59

0

25 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

371

10

0

01 Mar 2023

Multi-site Organ Segmentation with Federated Partial Supervision and
Site Adaptation

Multi-site Organ Segmentation with Federated Partial Supervision and Site Adaptation

295

5

0

08 Feb 2023

Multi-organ segmentation: a progressive exploration of learning
paradigms under scarce annotation

Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotationPhysics in Medicine and Biology (PMB), 2023

321

13

0

07 Feb 2023

SegViz: A federated-learning based framework for multi-organ
segmentation on heterogeneous data sets with partial annotations

SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations

Adway U. Kanhere

Pranav Kulkarni

297

1

0

17 Jan 2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

CLIP-Driven Universal Model for Organ Segmentation and Tumor DetectionIEEE International Conference on Computer Vision (ICCV), 2023

Bennett A. Landman

Zongwei Zhou

760

328

0

02 Jan 2023

Learning from partially labeled data for multi-organ and tumor
segmentation

Learning from partially labeled data for multi-organ and tumor segmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022

Chunhua Shen

217

40

0

13 Nov 2022

Nuclei Segmentation with Point Annotations from Pathology Images via
Self-Supervised Learning and Co-Training

Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training

Hao Chen

Kwang-Ting Cheng

237

49

0

16 Feb 2022

External Attention Assisted Multi-Phase Splenic Vascular Injury
Segmentation with Limited Data

External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited DataIEEE Transactions on Medical Imaging (IEEE TMI), 2021

Wei Shen

241

18

0

04 Jan 2022

MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets

MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets

223

12

0

05 Aug 2021

Medical Image Segmentation with Limited Supervision: A Review of Deep
Network Models

Medical Image Segmentation with Limited Supervision: A Review of Deep Network ModelsIEEE Access (IEEE Access), 2021

262

82

0

28 Feb 2021

Exploiting Shared Knowledge from Non-COVID Lesions for
Annotation-Efficient COVID-19 CT Lung Infection Segmentation

Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection SegmentationIEEE journal of biomedical and health informatics (JBHI), 2020

549

31

0

31 Dec 2020

DoDNet: Learning to segment multi-organ and tumors from multiple
partially labeled datasets

DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsComputer Vision and Pattern Recognition (CVPR), 2020

Chunhua Shen

439

191

0

20 Nov 2020

Generalisable 3D Fabric Architecture for Streamlined Universal
Multi-Dataset Medical Image Segmentation

Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation

Craig B. Engstrom

Shekhar S. Chandra

520

0

0

28 Jun 2020

SenseCare: A Research Platform for Medical Image Informatics and
Interactive 3D Visualization

SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D VisualizationFrontiers in Radiology (Front. Radiol.), 2020

Guotai Wang

...

291

29

0

03 Apr 2020

The Liver Tumor Segmentation Benchmark (LiTS)

The Liver Tumor Segmentation Benchmark (LiTS)

Hongwei Bran Li

Eugene Vorontsov

Avi Ben-Cohen

...

Bram van Ginneken

763

1,383

0

13 Jan 2019

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