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4th 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

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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

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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

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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

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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

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Hierarchical Brain Structure Modeling for Predicting Genotype of Glioma. 160-169

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