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ORCID4th CMMCA@MICCAI 2025: Daejeon, South Kore
- Chao Li, Wenjian Qin, Jia Wu, Nazar Zaki:
Computational Mathematics Modeling in Cancer Analysis - 4th International Workshop, CMMCA 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings. Lecture Notes in Computer Science 16178, Springer 2026, ISBN 978-3-032-06623-7 - Jonas Weidner, Michal Balcerak, Ivan Ezhov, André Datchev, Laurin Lux, Lucas Zimmer, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler:
A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration. 1-10 - Valentin Septiers, Joséphine Colineaux, Carlos Sosa Marrero, Jennifer Le Guévelou, Kaoutar Elouahabi, Léo Le Bozec, Renaud de Crevoisier, Hervé Saint-Jalmes, Anaïs Barateau, Maria A. Zuluaga, Oscar Acosta
:
A Data-Driven Approach to Optimise Parameters of a Computational Digital Twin Model in Response to SBRT on MR-Linac. 11-20 - Yinglan Kuang, Lin Chen, Dongjiang Tang, Xing Lu:
FMIC-AI: Annotation-Free Tumor Cell Detection in Fluorescence Microscopy via Self-supervised Anomaly Detection. 21-29 - Anran Liu, Xiaofei Wang, Jing Cai, Chao Li:
Score-Based Diffusion Model for Unpaired Virtual Histology Staining. 30-39 - Martin Hartenberger, Huzeyfe Ayaz, Fatih Ozlugedik, Charly Caredda, Luca Giannoni, Frédéric Lange, Laurin Lux, Jonas Weidner, Alexander H. Berger, Florian Kofler, Martin J. Menten, Bruno Montcel, Ilias Tachtsidis, Daniel Rueckert, Ivan Ezhov:
Redefining Spectral Unmixing for In-Vivo Brain Tissue Analysis from Hyperspectral Imaging. 40-49 - Xueren Zhang, Xianghong Wang, Tianye Niu:
CT Image Segmentation Using Frequency Domain Feature-Assisted Selective Long Memory State Space Model. 50-59 - Hang Nguyen, Paul Fricker, Marianne Defresne, Frederik Pahde, Serena Bonin, Jonathan Wolfe, Eros Azzalini, Iris Zalaudek, Skye Tanzmann, Zung Nguyen:
Towards Robust Skin Lesion Classification: Lesion Segmentation, Mole Collision Simulation and Hierarchical Learning. 60-69 - Chunjun Qian, Lulu He, Xianglian Meng, Mengxia Yu, Xiuhua Wu, Yanyun Shi:
Key Clinical Parameters Detection and Ovarian Tumor Benign/Malignant Classification in Multi-modal Ultrasound Images via a Multi-task Model. 70-79 - Xidong Wu, Hao Chen, Zhuoyuan Li, Chao Li:
OG-SAM: Enhancing Multi-organ Segmentation with Organogenesis-Based Adaptive Modeling. 80-89 - Zehao Weng, Dongdong Gu, Yuzhong Chen, Siqing Yuan, Chen Xie, Zhenguo Zhang, Jinwei Kong, Zehong Cao, Zhong Xue, Dinggang Shen:
CoMoSeg: Anatomical Consistency and Cross Modality Guidance for Robust Brain Tumor Segmentation Using Partially Labeled MR Sequences. 90-99 - Guantian Huang, Shouliang Qi, Wei Qian, Xin Shi, Dianning He:
Region-Aware Diagnosis of Clinically Significant Prostate Cancer via Semi-supervised Learning Segmentation. 100-109 - Xuhao Shan, Ruiquan Ge, Jikui Liu, Linglong Wu, Chi Zhang, Siqi Liu, Wenjian Qin, Wenwen Min, Ahmed Elazab, Changmiao Wang:
GraphMMP: A Graph Neural Network Model with Mutual Information and Global Fusion for Multimodal Medical Prognosis. 110-119 - Zhizhen Song, Jingke Zhu, Wenyuan Huang, Wenjian Qin:
Dual-Guided 3D Liver CT Image Generation for Medical Analysis. 120-128 - Xuepeng Liu, Zheng Jiang, Pinan Zhu, Hanyu Liu, Chao Li:
HaDM-ST: Histology-Assisted Differential Modeling for Spatial Transcriptomics Generation. 129-138 - Yilin Shao, Jingjing Dai, Lei Deng, XinKai Xu, Jun Zhang, Yaoqin Xie, Xiaokun Liang:
Projection-Driven Robust Motion Compensation for CBCT Using a Patient-Specific Model Learned from Prior Scans. 139-149 - Yao Pu, Yifan Zhu, Jingguo Qu, Xiang Wang, Wen Li, Mayang Zhao, Peixin Yu, Zihan Li, Xinzhi Teng, Xinyu Zhang, Jiang Zhang, Tao Peng, Jing Cai, Ge Ren:
Revealing New Possibilities for Breast MRI Enhancement: Mamba-Driven Cross-Attention GAN with VMKANet. 150-159 - Haotian Tang, Jianwei Chen, Xinrui Tang, Yunjia Wu, Zhengyang Miao, Chao Li:
Hierarchical Brain Structure Modeling for Predicting Genotype of Glioma. 160-169
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