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ORCIDCARE@MICCAI 2025: Daejeon, South Korea
- Xiahai Zhuang
, Wangbin Ding, Yuanye Liu, Yingliang Ma, Jichao Zhao, Bomin Wang:
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. Lecture Notes in Computer Science 16257, Springer 2026, ISBN 978-3-032-16270-0 - Zhao Wang, Zheyao Gao, Qi Dou:
A Unified 3D Cardiac Structure Segmentation Framework for Heterogeneous Medical Data. 1-11 - Yuxin Jin, Fengjun Zhao, Yanrong Chen, Xuelei He:
Uncertainty-Guided Curriculum Learning for Automated Liver Fibrosis Staging on Heterogeneous MRI. 12-22 - Haohao Luan, Yilin Lyu, Jinwei Dong, Lin Pan:
Uncertainty-Guided Hard-Soft Priors for Myocardial Scar and Edema Segmentation on Multi-sequence CMR Images. 23-32 - Derong Yu, Guoyan Zheng:
MA2: Unifying Modality-Agnostic Segmentation and Modality-Aware Staging for Real-World Liver Fibrosis Analysis. 33-45 - Johanna Brosig, Lisa Bautz, Inna Khasyanova, Lars Walczak, Simon H. Sündermann, Jörg Kempfert, Titus Kühne, Anja Hennemuth, Markus Hüllebrand:
Transfer Learning for Multimodal Whole Heart Segmentation Supported by Intensity Transformations. 46-56 - Jincan Lou, Jingkun Chen, Haoquan Li, Hang Li, Wenjian Huang, Weihua Chen, Fan Wang, Jianguo Zhang:
CoSSeg-TTA: Contrast-Aware Semi-Supervised Segmentation with Domain Generalization and Test-Time Adaptation. 57-67 - Abdul Qayyum, Moona Mazher, Steven A. Niederer:
CardioSeqM: A Scalable and Context-Aware Model for Unified Heart Segmentation from Volumetric Cardiac Data. 68-78 - Ting Yu Tsai, An Yu, Wenqi Li, Ming-Ching Chang:
A Latent-Guided Hybrid Architecture for Liver Segmentation in Contrast-Enhanced MRI. 79-89 - Heng Zheng, Mingjing Yang:
IE-UNet: Implicit Neural Representation-Driven Whole Heart Segmentation. 90-99 - Lida Yang, Minlu Cao, Yuan Cao, Xuecheng Fang, Wei Chen, Jax Luo, Xu Qiao:
Multi-Modal MRI Fusion for Liver Fibrosis Staging and Semi-Supervised Pipeline for Liver Segmentation. 100-111 - Isabel Margolis, Stefano Buoso, Sebastian Kozerke:
Two-Stage Approach for Myocardial Scar and Edema Segmentation Using Synthetic Multi-sequence MRI and Auxiliary Scar Prediction. 112-123 - Boya Wang, Ruizhe Li, Chao Chen, Xin Chen:
Semi-supervised Liver Segmentation and Patch-Based Fibrosis Staging with Registration-Aided Multi-parametric MRI. 124-134 - Yonghui Wang, Chanyue Zhao, Patrice Monkam, Shouliang Qi:
A Two-Stage Myocardial Pathology Segmentation Method Based on Multi-sequence CMR Images. 135-144 - Yu Xie, Zhenyu Chen, Yuxin Lin, Yan Huang, Mingjing Yang:
Decoupled Teacher-Student Framework for Few-Shot Liver Segmentation with Boundary-Aware Learning. 145-155 - Quang-Khai Bui-Tran, Minh-Toan Dinh, Thanh-Huy Nguyen, Ba-Thinh Lam, Mai-Anh Vu, Ulas Bagci:
Label-Efficient Cross-Modality Generalization for Liver Segmentation in Multi-phase MRI. 156-167 - Wenzhen Zhang, Xifeng Hu, Wenmiao Wang, Xiaoxiao Cui, Bangjun Li, Yujun Li:
UniCarSeg: A Unified Framework for Multi-task Cardiac Image Segmentation. 168-179 - Zhejia Zhang, Junjie Wang, Le Zhang:
Improved mmFormer for Liver Fibrosis Staging via Missing-Modality Compensation. 180-189 - Zhendi Gong, Xin Chen:
SSL-MedSAM2: A Semi-supervised Medical Image Segmentation Framework Powered by Few-Shot Learning of SAM2. 190-200 - Xin Lin:
Early Fusion-Based Multimodal Cardiac MRI Segmentation with Domain-Aware Augmentation. 201-213 - Xin Hong, Nao Wang, Ying Shi:
Dual-Task Multi-modal 2.5D Swin Transformer for Liver Fibrosis Staging. 214-224 - Xiaoning Zhang, Yanjun Peng, Zengmin Zhang:
EHU-Mamba2: Enhanced U-Mamba for Multi-center Cardiac MR Segmentation with Dynamic Alignment and Adaptive Upsampling. 225-234 - Yang Zhou, Kunhao Yuan, Ye Wei, Jishizhan Chen:
Multi-modal Liver Segmentation and Fibrosis Staging Using Real-world MRI Images. 235-246 - Siqi Wang, Wentao Liu, Qian Zeng, Dong Han:
Multi-branch Attention Network for Liver Fibrosis Staging in Multi-phase MRI. 247-255
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