Comprehensive analysis and computing of real-world medical images Second MICCAI Challenge, CARE 2025, held in conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025 proceedings Xiahai Zhuang [and five others] editors

Format:

Book

Conference/Event

Contributor:

Zhuang, Xiahai, editor.

Conference Name:

CARE (Challenge) (2nd : 2025 : Taejŏn-si, Korea)

Series:

Lecture notes in computer science ; 16257.

Lecture notes in computer science 1611-3349 16257

Language:

English

Subjects (All):

Diagnostic imaging.

Imaging systems in medicine--Mathematics.

Imaging systems in medicine.

Biomedical engineering.

Diagnostic Imaging.

biomedical engineering.

Medical Subjects:

Diagnostic Imaging.

Genre:

proceedings (reports)

Conference papers and proceedings

Conference papers and proceedings.

Physical Description:

1 online resource

Place of Publication:

Cham, Switzerland Springer [2026]

Summary:

"This book constitutes the proceedings of the Second MICCAI Challenge, CARE 2025, held in Conjunction with MICCAI 2025, in Daejeon, South Korea, on September 23, 2025.The 23 full papers in this book were carefully reviewed and selected from 51 submissions. These tracks aim to advance real-world medical image computing by bridging the gap between AI model development and practical clinical applications"-- Springer Nature Link

Contents:

A unified 3D cardiac structure segmentation framework for heterogeneous medical data / Zhao Wang, Zheyao Gao, and Qi Dou

Uncertainty-guided curriculum learning for automated liver fibrosis staging on heterogeneous MRI / Yuxin Jin, Fengjun Zhao, Yanrong Chen, and Xuelei He

Uncertainty-guided hard–soft priors for myocardial scar and edema segmentation on multi-sequence CMR images / Haohao Luan, Yilin Lyu, Jinwei Dong, and Lin Pan

MA2 : unifying modality-agnostic segmentation and modality-aware staging for real-world liver fibrosis analysis / Derong Yu and Guoyan Zheng

Transfer learning for multimodal whole heart segmentation supported by intensity transformations / Johanna Brosig, Lisa Bautz, Inna Khasyanova, Lars Walczak, Simon Sündermann, Jörg Kempfert, Titus Kühne, Anja Hennemuth, and Markus Hüllebrand

CoSSeg-TTA : contrast-aware semi-supervised segmentation with domain generalization and test-time adaptation / Jincan Lou, Jingkun Chen, Haoquan Li, Hang Li, Wenjian Huang, Weihua Chen, Fan Wang, and Jianguo Zhang

CardioSeqM : a scalable and context-aware model for unified heart segmentation from volumetric cardiac data / Abdul Qayyum, Moona Mazher, and Steven A Niederer

A latent-guided hybrid architecture for liver segmentation in contrast-enhanced MRI / Ting Yu Tsai, An Yu, Wenqi Li, and Ming-Ching Chang

IE-UNet : implicit neural representation-driven whole heart segmentation / Heng Zheng and Mingjing Yang

Multi-modal MRI fusion for liver fibrosis staging and semi-supervised pipeline for liver segmentation / Lida Yang, Minlu Cao, Yuan Cao, Xuecheng Fang, Wei Chen, Jax Luo, and Xu Qiao

Two-stage approach for myocardial scar and edema segmentation using synthetic multi-sequence MRI and auxiliary scar prediction / Isabel Margolis, Stefano Buoso, and Sebastian Kozerke

Semi-supervised liver segmentation and patch-based fibrosis staging with registration-aided multi-parametric MRI / Boya Wang, Ruizhe Li, Chao Chen, and Xin Chen

A two-stage myocardial pathology segmentation method based on multi-sequence CMR images / Yonghui Wang, Chanyue Zhao, Patrice Monkam, and Shouliang Qi

Decoupled teacher-student framework for few-shot liver segmentation with boundary-aware learning / Yu Xie, Zhenyu Chen, Yuxin Lin, Yan Huang, and Mingjing Yang

Label-efficient cross-modality generalization for liver segmentation in multi-phase MRI / Quang-Khai Bui-Tran, Minh-Toan Dinh, Thanh-Huy Nguyen, Ba-Thinh Lam, Mai-Anh Vu, and Ulas Bagci

UniCarSeg : a unified framework for multi-task cardiac image segmentation / Wenzhen Zhang, Xifeng Hu, Wenmiao Wang, Xiaoxiao Cui, Bangjun Li, and Yujun Li

Improved mmFormer for liver fibrosis staging via missing-modality compensation / Zhejia Zhang, Junjie Wang, and Le Zhang

SSL-MedSAM2 : a semi-supervised medical image segmentation framework powered by few-shot learning of SAM2 / Zhendi Gong and Xin Chen

Early fusion-based multimodal cardiac MRI segmentation with domain-aware augmentation / Xin Lin

Dual-task multi-modal 2.5D Swin transformer for liver fibrosis staging / Xin Hong, Nao Wang, and Ying Shi

EHU-Mamba2 : enhanced U-Mamba for multi-center cardiac MR segmentation with dynamic alignment and adaptive upsampling / Xiaoning Zhang, Yanjun Peng, and Zengmin Zhang

Multi-modal liver segmentation and fibrosis staging using real-world MRI images / Yang Zhou, Kunhao Yuan, Ye Wei, and Jishizhan Chen

Multi-branch attention network for liver fibrosis staging in multi-phase MRI / Siqi Wang, Wentao Liu, Qian Zeng, and Dong Han

Notes:

Includes bibliographical references and index

Online resource; title from PDF title page (Springer Nature Link, viewed June 18, 2026)

Other Format:

Print version CARE (Challenge) (2nd : 2025 : Taejŏn-si, Korea) Comprehensive analysis and computing of real-world medical images

ISBN:

9783032162717

3032162718

OCLC:

1596125421

Access Restriction:

Restricted for use by site license