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ORCID28th MICCAI 2025: Daejeon, South Korea - Part XII
- James C. Gee
, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XII. Lecture Notes in Computer Science 15971, Springer 2026, ISBN 978-3-032-05161-5
Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV)
- Songke Fang, Vince D. Calhoun, Godfrey D. Pearlson, Peter V. Kochunov, Theo G. M. van Erp, Yuhui Du:
A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity. 3-12 - Jinfeng Wang, Yanhao Huang, Sifan Song, Boqian Wang, Jionglong Su, Jiaman Ding:
A Novel Fourier Adjacency Transformer for Advanced EEG Emotion Recognition. 13-23 - Junyi Wang, Mubai Du, Ye Wu, Yijie Li, William M. Wells III, Lauren J. O'Donnell, Fan Zhang:
A Novel Streamline-Based Diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection. 24-34 - Yue Xun, Jiaxing Xu, Wenbo Gao, Chen Yang, Shujun Wang:
Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification. 35-45 - Rundong Xue, Xiangmin Han, Hao Hu, Zeyu Zhang, Shaoyi Du, Yue Gao:
Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI. 46-55 - Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao, Chee-Ming Ting:
Adaptive Graph Learning with Multi-graph Convolutions for Brain Disorder Classification. 56-65 - Wenzheng Hu, Zhenghua Guan, Peng Yang, Jiaqiang Li, Yi Liu, Shushen Gan, Tuo Cai, Ao Zhang, Tengda Zhang, Junlong Qu, Shaolong Wang, Gege Cai, Xiang Dong, Tianfu Wang, Baiying Lei:
Anatomy-Guided Multimodal Graph Networks for Alzheimer's Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures. 66-75 - Haoyue Yuan, Yuxiao Liu, Feihong Liu, Dinggang Shen:
A$\upbeta $-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks. 76-86 - Mostafa Karami, Sahand Hamzehei, David Arce, Gianna Raimondi, Linnaea Ostroff, Sheida Nabavi:
Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections. 87-97 - Hailin Yue, Hulin Kuang, Jin Liu, Junjian Li, Lanlan Wang, Mengshen He, Jianxin Wang:
Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction. 98-108 - Zijian Chen, Stefen Beeler-Duden, Sophie Lawson, Zachary J. Jacokes, John Darrell Van Horn, Kevin A. Pelphrey, Archana Venkataraman:
BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis. 109-119 - Zhenyu Tang, Yu Zhao, Yang Yang, Xiaoyu Liu, Jingyong Su:
Brain Activation Mapping Based on Regional Synchronization of fMRI Signals Embedded in Graph Eigenmodes. 120-129 - Zhengyun Zhou, Guojia Wan, Fei Liao, Wenbin Hu, Minghui Liao, Junchao Qiu, Xinyuan Li, Bo Du:
Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference. 130-139 - Ziquan Wei, Tingting Dan, Guorong Wu:
Brain-Environment Cross-Attention (BECA) Meta-matching: A New Perspective of Brain Connectome Zero-Shot Learning. 140-149 - Arunkumar Kannan, Martin A. Lindquist, Brian Caffo:
BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data. 150-160 - Liuzeng Zhang, Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis. 161-171 - Jiaxing Xu, Kai He, Yue Tang, Wei Li, Mengcheng Lan, Xia Dong, Yiping Ke, Mengling Feng:
BrainPrompt: Multi-level Brain Prompt Enhancement for Neurological Condition Identification. 172-182 - Elyar Esmaeilzadeh, Ehsan Garaaghaji, Farzad Hallaji Azad, Doruk Öner:
CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation. 183-193 - Congyu Tian, Shihao Zou, Xiangyun Liao, Cheng Chen, Chubin Ou, Jianping Lv, Shanshan Wang, Weixin Si:
Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination. 194-203 - Salma Hassan, Mostafa Salem, Vijay Ram Papineni, Ayman Elsayed, Mohammad Yaqub:
ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis. 204-214 - Lei Zhao, Changjian Chen, Bin Pu, Xiaoming Qi, Fengfeng Peng, Chunlian Wang, Kenli Li, Guanghua Tan:
Concept-Induced Graph Perception Model for Interpretable Diagnosis. 215-225 - Joonhyuk Park, Donghyun Lee, Guorong Wu, Won Hwa Kim:
Conditional Graph Diffusion with Topological Constraints for Brain Network Generation. 226-235 - Minheng Chen, Xiaowei Yu, Jing Zhang, Tong Chen, Chao Cao, Yan Zhuang, Yanjun Lyu, Lu Zhang, Tianming Liu, Dajiang Zhu:
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification. 236-246 - Jingxi Feng, Heming Xu, Junhao Cai, Yujie Chang, Dong Zhang, Shaoyi Du, Juan Wang:
Cross-Modal Brain Graph Transformer via Function-Structure Connectivity Network for Brain Disease Diagnosis. 247-256 - Mostafa Salem, Salma Hassan, Vijay Ram Papineni, Ayman Elsayed, Mohammad Yaqub:
DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection. 257-267 - Rundong Xue, Hao Hu, Zeyu Zhang, Xiangmin Han, Juan Wang, Yue Gao, Shaoyi Du:
DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis. 268-278 - Raphaël Vock, Antoine Grigis, Benoit Dufumier, Edouard Duchesnay:
Does Connectome Harmonic Analysis Pass the Spin Test? 279-287 - Ling Wu, Hexi Li, Zhengyuan Lyu, Zhiwei Song, Hu Yu, Xiaojuan Guo:
Dual-Stream Multi-band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification. 288-297 - Qianqian Wang, Wei Wang, Hong-Jun Li, Weili Lin, Mingxia Liu:
Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline. 298-308 - Kaiyu Zhang, Li Chen, Wenjin Liu, Taewon Kim, Xin Wang, Yin Guo, Zhiwei Tan, Zhensen Chen, Angie Tang, Xihai Zhao, Thomas S. Hatsukami, Mahmud Mossa-Basha, Niranjan Balu, Chun Yuan:
Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network. 309-319 - Daiki Nishiyama, Hiroaki Miyoshi, Noriaki Hashimoto, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi, Jun Sakuma:
Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion. 320-330 - Seungeun Lee, Jaeyoung Kim, Kyungtae Kang, Mingon Kang:
Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography. 331-341 - Hongbo Zhang, Xinyu Nie, Jiaxin Yue, Yuan Li, John M. Ringman, Yonggang Shi:
GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration. 342-351 - Shengjie Zhang, Zhuangzhuang Jiang, Xin Shen, Ziqi Yu, Xiang Chen, Xiao-Yong Zhang, Yuan Zhou:
Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability. 352-361 - Masum Shah Junayed, John Derek Van Vessem, Qian Wan, Gahie Nam, Sheida Nabavi:
Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading. 362-372 - Qingya Li, Ye Yuan, Lu Liu, Nan Bao, Lisheng Xu, Wenjun Tan:
Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling. 373-382 - Jiakun Xu, Xin Zhang, Tong Xiong, Shengxian Chen, Xiaofen Xing, Jindou Hao, Xiangmin Xu:
Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis. 383-393 - Yanwu Yang, Thomas Wolfers:
Hierarchical Characterization of Brain Dynamics via State Space-Based Vector Quantization. 394-404 - Meimei Yang, Yongheng Sun, Qianqian Wang, Wei Wang, Hong-Jun Li, Mingxia Liu:
Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis. 405-415 - Hyoungshin Choi, Sunghun Kim, Jong-eun Lee, Bo-yong Park, Hyunjin Park:
Integrating Meta-analysis in Multi-modal Brain Studies with Graph-Based Attention Transformer. 416-425 - Zongbao Yang, Shihuan He, Zhichen Chen, Hao Zhang, Ruxin Wang:
Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction. 426-436 - Minghong Duan, Zhiwei Yang, Yingfan Ma, Manning Wang, Zhijian Song:
Knowledge-Guided Multi-scale Graph Mamba for Whole Slide Image Classification. 437-447 - Jiazhen Ye, Manman Yuan, Junlin Li, Weiming Jia, Jiacheng Wang, Jiapei Li:
LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer's Disease Identification. 448-458 - Jing Xia, Yi Hao Chan, Jagath C. Rajapakse:
Meta-analysis Guided Multi-task Graph Transformer Network for Diagnosis of Neurological Disease and Cognitive Deficits. 459-468 - Sungyoon Jung, Donghyun Lee, Won Hwa Kim:
MindLink: Subject-Agnostic Cross-Subject Brain Decoding Framework. 469-479 - Dequan Meng, Jie Guo, Junze Wang, Xiaoming Xi, Lishan Qiao, Limei Zhang, Mingxia Liu:
MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer's Early Diagnosis with fMRI. 480-489 - Liting Yu, Tao Ma, Weiqin Zhao, Zhuo Liang, Lequan Yu:
MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport. 490-499 - Artur Arturi Aharonyan, Syeda Abeera Amir, Nunthasiri Wittayanakorn, Marius George Linguraru, Chima Oluigbo, Syed Muhammad Anwar:
Multi-modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients. 500-509 - Jielong Yan, Xiangmin Han, Jieyi Zhao, Yue Gao:
Multimodal Hypergraph Guide Learning for Non-invasive CcRCC Survival Prediction. 510-520 - Mayssa Soussia, Mohamed Ali Mahjoub, Islem Rekik:
Multi-sensory Cognitive Computing for Learning Population-Level Brain Connectivity. 521-531 - Hao Zhang, Xiaoyun Liu, Shuo Huang, Yonggui Yuan, Daoqiang Zhang, Li Zhang:
Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-Sample Topology Augmentation for Brain Disorder Diagnosis. 532-542 - Hyoungshin Choi, Jonghun Kim, Jiwon Chung, Bo-yong Park, Hyunjin Park:
PMIL: Prompt Enhanced Multimodal Integrative Analysis of fMRI Combining Functional Connectivity and Temporal Latency. 543-553 - Daesung Kim, Seungbeom Seo, Boosung Kim, Kyobin Choo, Youngjun Jun, Mijin Yun:
PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification. 554-563 - Shangqi Gao, Shangde Gao, Inês Machado, Mireia Crispin-Ortuzar:
Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks. 564-573 - Ekaterina Antipushina, Nikita Davydov, Riccardo de Feo, Evgeny Prilepin, Artem V. Nikonorov, Yury Koush:
pyOpenNFT: An Open-Source Python Framework for ML-Based Real-Time fMRI and EEG-fMRI Neurofeedback. 574-583 - Jiaxin Yue, Jianwei Zhang, Xinkai Wang, Yonggang Shi:
Robust Topographical Representation for Longitudinal Propagation of Tau Pathology. 584-593 - Chinmay Prabhakar, Suprosanna Shit, Tamaz Amiranashvili, Hongwei Bran Li, Bjoern H. Menze:
Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling. 594-604 - Zixuan Huang, Lingyao Kong, Licheng Ao, Shiyi Yao, An Xiang, Fen Miao:
ShareLink: Neuro-Inspired EEG-Based Cross-Subject Emotion Recognition via Shared Bi-hemisphere. 605-615 - Xixi Wan, Bo Jiang, Shihao Li, Aihua Zheng:
SPromptGL: Semantic Prompt Guided Graph Learning for Multi-modal Brain Disease. 616-626 - Mengxiang Chu, Yunxiang Ma, Xiaowei He, Xiao Li, Jiaojiao Ren, Zhengyu Zhong, Jingjing Yu, Hongbo Guo:
T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children Based on fNIRS. 627-637 - Yifan Li, Xiaotong Wu, Xiaocai Zhang, Haiteng Jiang, Weiwen Wu, Dinggang Shen, Jianjia Zhang:
Task-Aligned fMRI Generation Model for Brain Disorder Diagnosis. 638-648 - Xinbei Zha, Jiaming Zhang, Jin Gu:
The Refining of Brain Connectivity Features on Residual Posterior Patterns. 649-659 - Sovesh Mohapatra, Minhui Ouyang, Shufang Tan, Jianlin Guo, Lianglong Sun, Yong He, Hao Huang:
TReND: Transformer Derived Features and Regularized NMF for Neonatal Functional Network Delineation. 660-669 - Lin Li, Lillie Shelton, Thomas Forest, Kyathanahalli Janardhan, Tiffany Jenkins, Michael J. Napolitano, Roujia Wang, David Leigh, Tosha Shah, Grady Earl Carlson, Rajath Soans, Antong Chen:
Unsupervised Anomaly Detection on Preclinical Liver H &E Whole Slide Images Using Graph Based Feature Distillation. 670-679 - Shuo Shi, Xulei Zheng, Taiyi Wu, Xiaoke Hao:
Various Attention Mechanism Graph Convolutional Network with Multi-source Domain Adaptation for Cross-Subject EEG Emotion Recognition. 680-690
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