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ORCID28th MICCAI 2025: Daejeon, South Korea - Part I
- 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 I. Lecture Notes in Computer Science 15960, Springer 2026, ISBN 978-3-032-04926-1
Multimodal Fusion and Contextual Reasoning in Medical Imaging
- Yifan Gao, Shaohao Rui, Haoyang Su, Jinyi Xiang, Lian-Ming Wu, Xiaosong Wang:
A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images. 3-13 - Lin Teng, Shen Zhao, Feng Shi, Dinggang Shen:
A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction. 14-23 - Tobias Susetzky, Huaqi Qiu, Rickmer Braren, Daniel Rueckert:
A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data. 24-33 - Jian Wang, Qiongying Ni, Hongkui Yu, Ruixuan Yao, Jinqiao Ying, Bin Zhang, Xingyi Yang, Jin Peng, Jiongquan Chen, Junxuan Yu, Wenlong Shi, Chaoyu Chen, Zhongnuo Yan, Mingyuan Luo, Gaocheng Cai, Dong Ni, Jing Lu, Xin Yang:
Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound. 34-44 - Ningfeng Que, Xiaofei Wang, Jingjing Chen, Yixuan Jiang, Chao Li:
Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling. 45-54 - Wenkang Fan, Hao Fang, Rui Li, Yanduan Lin, Chao An, Xiongbiao Luo:
Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation. 55-65 - Danish Ali, Ajmal Mian, Naveed Akhtar, Ghulam Mubashar Hassan:
Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation. 66-76 - Junmo Kwon, Jonghun Kim, Taehyeon Kim, Sang Won Seo, Hwan-ho Cho, Hyunjin Park:
Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching. 77-86 - Jiaju Huang, Shaobin Chen, Xinglong Liang, Xiao Yang, Zhuoneng Zhang, Yue Sun, Ying Wang, Tao Tan:
C2MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images. 87-97 - Tariq Mehmood, Hamza Ahmad, Muhammad Haroon Shakeel, Murtaza Taj:
CATVis: Context-Aware Thought Visualization. 98-108 - Chang Li, Yamin Li, Haatef Pourmotabbed, Shengchao Zhang, Jorge Alberto Salas, Sarah E. Goodale, Roza G. Bayrak, Catie Chang:
CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI. 109-119 - Afshin Bozorgpour, Sina Ghorbani Kolahi, Reza Azad, Ilker Hacihaliloglu, Dorit Merhof:
CENet: Context Enhancement Network for Medical Image Segmentation. 120-129 - Qing Xu, Wenting Duan, Zhen Chen:
Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation. 130-140 - Shishuai Hu, Zehui Liao, Liangli Zhen, Huazhu Fu, Yong Xia:
Cycle Context Verification for In-Context Medical Image Segmentation. 141-151 - Gao Le, Yucheng Shu, Lihong Qiao, Lijian Yang, Bin Xiao, Weisheng Li, Xinbo Gao:
DGMIR: Dual-Guided Multimodal Medical Image Registration Based on Multi-view Augmentation and On-Site Modality Removal. 152-162 - Xiaoyu Zheng, Jing Wen, Jiaxin Zhuang, Yao Du, Jing Cong, Limei Guo, Lin Luo, Chao He, Hao Chen:
Diffusion-Based Virtual Staining from Polarimetric Mueller Matrix Imaging. 163-173 - Yige Yan, Jun Cheng, Xulei Yang, Shuang Leng, Ru-San Tan, Liang Zhong, Jagath C. Rajapakse:
Dual Correlation-Aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance. 174-184 - In-Gyu Lee, Jun-Young Oh, Hyewon Choi, Tae-Eui Kam, Namsoon Lee, Sang-Hwan Hyun, Euijong Lee, Ji-Hoon Jeong:
EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification. 185-195 - Xujia Wang, Xuhui Liu, Xi Liu, Qian Si, Zhaoliang Xu, Yang Li, Xiantong Zhen:
EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-distillation. 196-205 - Jian Shi, Tianqi You, Pingping Zhang, Hongli Zhang, Rui Xu, Haojie Li:
Frequency-Enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation. 206-216 - Alexander Selivanov, Philip Müller, Özgün Turgut, Nil Stolt Ansó, Daniel Rueckert:
Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG. 217-227 - Thao M. Dang, Haiqing Li, Yuzhi Guo, Hehuan Ma, Feng Jiang, Yuwei Miao, Qifeng Zhou, Jean Gao, Junzhou Huang:
HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics. 228-238 - Hashmat Shadab Malik, Shahina K. Kunhimon, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan:
Hierarchical Self-supervised Adversarial Training for Robust Vision Models in Histopathology. 239-249 - Jincheng Li, Danyang Dong, Menglin Zheng, Jingbo Zhang, Yueqin Hang, Lichi Zhang, Lili Zhao:
High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection. 250-259 - Zetian Feng, Juan Fu, Xuebin Zou, Hongsheng Ye, Hong Wu, Jianhua Zhou, Yi Wang:
Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound. 260-269 - Sihan Liu, Tonghua Wan, Yuxin Cai, Shengcai Chen, Bo Hu, Yan Wan, Wu Qiu:
IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation. 270-279 - Hengyuan Zhang, Peng Qiao, Wenyu Li, Yan Jia, Yong Dou:
Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation. 280-290 - Yibo Gao, Hangqi Zhou, Zheyao Gao, Bomin Wang, Shangqi Gao, Sihan Wang, Xiahai Zhuang:
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification. 291-300 - Sicong Gao, Maurice Pagnucco, Yang Song:
Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation. 301-311 - Haoshen Li, Tashan Ai, Yirui Wang, Zhanghexuan Ji, Qinji Yu, Le Lu, Bin Dong, Li Zhang, Xianghua Ye, Kuaile Zhao, Dakai Jin:
Lymph Node Metastasis Classification with Prototype-Guided Multiple Instance Aggregation and Heterogeneous Feature Fusion. 312-321 - Song Zhang, Jiajin Zhang, Liheng Qiu, Wei Liu, Dakai Jin, Le Lu, Shenmiao Yang, Ke Yan:
Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-lesion Aggregation. 322-332 - Xiangle Ping, Wenhui Huang, Yuanjie Zheng:
MambaMER: Adaptive EEG-Guided Multimodal Emotion Recognition with Mamba. 333-343 - Maryam Toloubidokhti, Ryan Missel, Shichang Lian, Linwei Wang:
Meta-learning Physics-Informed Neural Networks for Personalized Cardiac Modeling. 344-354 - Shuaipeng Ding, Mingyong Li, Chao Wang:
MG-UNet: A Memory-Guided UNet for Lesion Segmentation in Chest Images. 355-365 - Zixuan Tang, Bai Sun, Shidan He, Yuan Hong, Dongdong Yu, Zhenzhong Liu, Mengtang Li, Bin Chen, Shen Zhao:
MIBF-Net: Multi-Modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image. 366-375 - Junjian Li, Jin Liu, Hulin Kuang, Hailin Yue, Mengshen He, Jianxin Wang:
MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis. 376-385 - Jongwoo Kim, Bryan Wong, Huazhu Fu, Willmer Rafell Quiñones Robles, Young Sin Ko, Mun Yong Yi:
MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images. 386-396 - Seunghun Baek, Jaejin Lee, Jaeyoon Sim, Minjae Jeong, Won Hwa Kim:
MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations. 397-406 - Yuelin Zhang, Qingpeng Ding, Long Lei, Yongxuan Feng, Raymond Shing-Yan Tang, Shing Shin Cheng:
MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion During Ultrasound-Guided Aspiration Biopsy. 407-417 - Zhihao Su, Jihao Zhai, Junzhong Ji, Jinduo Liu:
MSGFlowNet: Learning Effective Connectivity Network Based on Sparse Generative Flow Network from fMRI and EEG Data. 418-428 - Weitong Zhang, Mengyun Qiao, Chengqi Zang, Steven A. Niederer, Paul M. Matthews, Wenjia Bai, Bernhard Kainz:
Multi-agent Reasoning for Cardiovascular Imaging Phenotype Analysis. 429-439 - Kun Wang, Junyong Zhao, Liying Zhang, Qi Zhu, Daoqiang Zhang:
Multi-expert Collaboration and Knowledge Enhancement Network for Multimodal Emotion Recognition. 440-449 - Rui Li, Chunyan Li, Xi Lin, Jinfeng Xu, Fang Li, Yao Lu:
Multimodal Fusion Network with Distribution-Based Tumor-Marker Imputation for Multi-origin Metastatic Cervical Lymphadenopathy Classification. 450-459 - Yasmeena Akhter, Rishabh Ranjan, Bikash Dutta, Mayank Vatsa, Richa Singh:
Non-invasive TB Detection Using Acoustic and Semantic Features from Cough Sounds. 460-470 - Qing Zhang, Guoquan Pei, Yan Wang:
Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation. 471-481 - Wantong Lu, Xu Han, Yibo Wei, Zanting Ye, Lijun Lu:
PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-Staging Classification with Epstein-Barr Virus DNA. 482-491 - Nuno Capitão, Yi Zhang, Yidong Zhao, Qian Tao:
Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping. 492-501 - Yuxuan Yang, Chen Zhong, Xinyue Zhang, Ruohan Ma, Gang Li, Yong Guo, Jupeng Li:
PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT. 502-511 - Ganping Li, Yoshito Otake, Yuito Kameda, Keisuke Uemura, Kazuma Takashima, Hirokazu Mae, Sotaro Kono, Hidetoshi Hamada, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato:
Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-modality Survival Analysis Approach. 512-522 - Yeonkyung Lee, Woojung Han, Youngjun Jun, Hyeonmin Kim, Jungkyung Cho, Seong Jae Hwang:
PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning. 523-533 - Bogyeong Kang, Sang-Jun Park, Minjoo Lim, Myeongkyun Kang, Keun-Soo Heo, Ji-Hye Oh, Hyun Jung Lee, Tae-Eui Kam:
Pre-to-Post Operative MRI Generation with Retrieval-Based Visual In-Context Learning. 534-544 - Xiaoyu Bai, Yong Xia:
RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images. 545-555 - Inye Na, Nejung Rue, Jiwon Chung, Hyunjin Park:
RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features. 556-566 - Peirong Xu, Luoqian Zhu, Jingkun Chen, Xin Qian, Yue Sun, Lingyun Bao, Tao Tan:
SAMASK-CLTR: A Spatial-Aware Mask Guided Learning Model for Benign and Malignant Tumor Classification in ABUS. 567-577 - Mohamad Dabboussi, Malo Huard, Yann Gousseau, Pietro Gori:
Self-supervised Multiview Xray Matching. 578-588 - Jianxun Yu, Ruiquan Ge, Zhipeng Wang, Cheng Yang, Chenyu Lin, Xianjun Fu, Jikui Liu, Ahmed Elazab, Changmiao Wang:
Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification. 589-598 - Rongzhao He, Weihao Zheng, Leilei Zhao, Ying Wang, Dalin Zhu, Dan Wu, Bin Hu:
Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation. 599-608 - Liang Zhang, Xixi Jiang, Xiaohuan Ding, Zihang Huang, Tianyu Zhao, Xin Yang:
TemSAM: Temporal-Aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences. 609-618 - Yuheng Fan, Jianyang Xie, Yimin Luo, Yanda Meng, Savita Madhusudhan, Gregory Y. H. Lip, Li Cheng, Yalin Zheng, He Zhao:
tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-Based Glaucoma Forecasting. 619-629 - Assefa Seyoum Wahd, Jacob L. Jaremko, Abhilash Rakkunedeth Hareendranathan:
Time-Contrastive Pretraining for In-Context Image and Video Segmentation. 630-639 - Ruofan Zhang, Mengjie Fang, Shengyuan Liu, Zipei Wang, Jie Tian, Di Dong:
TMSE: Tri-Modal Survival Estimation with Context-Aware Tissue Prototype and Attention-Entropy Interaction. 640-650 - Daniel Reisenbüchler, Ruining Deng, Christian Matek, Friedrich Feuerhake, Dorit Merhof:
Top-Down Attention-Based Multiple Instance Learning for Whole Slide Image Analysis. 651-660 - Ruilong Dan, Kaicong Sun, Yichen Zhou, Minqiang Jia, Yuxuan Liu, Han Zhang, Xiaopeng Zong, Dinggang Shen:
Wavelet-Driven Decoupling and Physics-Informed Mapping Network for Accelerated Multi-parametric MR Imaging. 661-671 - Xiaoyu Zheng, Xu Chen, Shaogang Gong, Xavier Griffin, Gregory G. Slabaugh:
XFMamba: Cross-Fusion Mamba for Multi-view Medical Image Classification. 672-682 - Hongyuan Zhang, Haoyu Xie, Tingting Ye, Songxiong Wu:
You Can Detect It: Fetal Biometric Estimation Using Ellipse Detection. 683-693
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