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ORCID28th MICCAI 2025: Daejeon, South Korea - Part XV
- 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 XV. Lecture Notes in Computer Science 15974, Springer 2026, ISBN 978-3-032-05181-3
Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III)
- Gabriele Campanella, Ida Häggström, Lucas Kook, Torsten Hothorn, Thomas J. Fuchs:
A Flexible Deep Learning Framework for Survival Analysis with Medical Data. 3-13 - Yidan Feng, Bohan Zhang, Sen Deng, Zhanli Hu, Jing Qin:
Asynchronous Multi-modal Learning for Dynamic Risk Monitoring of Acute Respiratory Distress Syndrome in Intensive Care Units. 14-23 - Rukiye Karakis, Kali Gürkahraman, Georgios D. Mitsis, Marie-Hélène Boudrias:
Attention-Based Multimodal Deep Learning Model for Post-stroke Motor Impairment Prediction. 24-34 - Jiabao Sheng, Zhe Li, Jiang Zhang, Saikit Lam, Zhi Chen, Lei Xing, Jing Cai:
Boosting Generalizability in NPC ART Prediction via Multi-omics Feature Mapping. 35-44 - Fan Li, Shilun Zhao, Shuwei Bai, Yuxiao Liu, Kai Zhang, Yin Xu, Ya Zhang, Kaicong Sun, Dinggang Shen:
Brain-Heart-Gut Guided Multi-constraint Knowledge Distillation for Early Alzheimer's Disease Diagnosis. 45-54 - Axel Geysels, Ben Van Calster, Bart De Moor, Wouter Froyman, Dirk Timmerman:
Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis. 55-64 - Kai Han, Chongwen Lyu, Lele Ma, Chengxuan Qian, Siqi Ma, Zheng Pang, Jun Chen, Zhe Liu:
CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis. 65-74 - Chenchen Fan, Ahmed Elazab, Songqi Zhang, Yuxuan Wang, Qinghua Liang, Danna Li, Yongquan Zhang, Ying Xiang, Bo Liu, Changmiao Wang:
Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans. 75-84 - Haipeng Zhou, Sicheng Yang, Sihan Yang, Jing Qin, Lei Chen, Lei Zhu:
CoC: Chain-of-Cancer Based on Cross-Modal Autoregressive Traction for Survival Prediction. 85-94 - Yichen Guo, Xinyi Zhao, Lisong Dai, Heming Dong, Lai Jiang, Mai Xu, Shengxi Li:
Collateral Circulation Guided Multi-Modality Fusion Network for Postoperative Infarct Prediction. 95-105 - Nabil Mouadden, Othmane Laousy, Rafael Marini, Valentin Ong, Marie-Pierre Revel, Guillaume Chassagnon, Stergios Christodoulidis, Maria Vakalopoulou:
Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data. 106-115 - Allison Clement, James Willoughby, Irina Voiculescu:
Confidence in Angle Predictions for Clinical Decision Support. 116-124 - Noa Cahan, Meshi Sizikov, Hayit Greenspan:
Cross-Modal CXR-CTPA Knowledge Distillation Using Latent Diffusion Priors Towards CXR Pulmonary Embolism Diagnosis. 125-135 - Qilong Xing, Zikai Song, Bingxin Gong, Lian Yang, Junqing Yu, Wei Yang:
Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients. 136-146 - Haoyang Su, Shaohao Rui, Jinyi Xiang, Lian-Ming Wu, Xiaosong Wang:
CTSL: Codebook-Based Temporal-Spatial Learning for Accurate Non-contrast Cardiac Risk Prediction Using Cine MRIs. 147-157 - Mehak Arora, Ayman Ali, Kaiyuan Wu, Carolyn Davis, Takashi Shimazui, Mahmoud Alwakeel, Victor Moas, Philip Yang, Annette Esper, Rishikesan Kamaleswaran:
CXR-TFT: Multi-modal Temporal Fusion Transformer for Predicting Chest X-Ray Trajectories. 158-166 - Jie Zhao, Zifan Chen, Guangzhengao Yang, Yijiang He, Li Zhang, Bin Dong:
Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System. 167-176 - Wooseok Jung, Joonhyuk Park, Won Hwa Kim:
DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer's Disease Precision Medicine. 177-186 - Xinyu Hao, Hongming Xu, Qibin Zhang, Qi Xu, Ilkka Pölönen, Fengyu Cong:
Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images. 187-196 - Zheng Wang, Hong Liu, Zheng Wang, Danyi Li, Min Cen, Baptiste Magnier, Li Liang, Liansheng Wang:
Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-distillation. 197-207 - Xingyu Huang, Shuo Wang, Chengcai Liu, Haolin Sang, Yi Wu, Jie Tian:
Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT Images. 208-217 - Shripad Pate, Aiman Farooq, Suvrankar Datta, Musadiq Aadil Sheikh, Atin Kumar, Deepak Mishra:
Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-label Classification Model. 218-227 - Haifeng Wang, Zehua Ren, Heng Chang, Xinmei Qiu, Fan Wang, Chunfeng Lian, Jianhua Ma:
Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction. 228-237 - Wenrui Fan, L. M. Riza Rizky, Jiayang Zhang, Chen Chen, Haiping Lu, Kevin Teh, Dinesh Selvarajah, Shuo Zhou:
Foundation-Model-Boosted Multimodal Learning for fMRI-Based Neuropathic Pain Drug Response Prediction. 238-248 - Arooba Maqsood, Afsah Saleem, Marc Sim, David Suter, Simone Radavelli-Bagatini, Jonathan M. Hodgson, Richard Prince, Kun Zhu, William D. Leslie, John T. Schousboe, Joshua R. Lewis, Syed Zulqarnain Gilani:
From Pixels to Prognosis: A Multi-modal Attention-Based Framework for Visceral Adipose Tissue Estimation. 249-259 - Tao Chen, Jie Gao, Yong Xu, Weihong Qiu, Yijie Wu, Weimin Ye, Kunhong Liu:
Hard Sample Mining-Based Tongue Diagnosis for Fatty Liver Disease Severity Classification. 260-269 - Zheran Zhang, Xiaodong Yue, Maoyu Wang, Zhikang Xu, Yufei Chen, Zhipeng Wei:
Integrate Semantic Radiomics as Prior Evidence Into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis. 270-279 - Yi Gu, Kuniaki Saito, Jiaxin Ma:
Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction. 280-290 - Mingtian Liu, Nima Hatami, Laura Mechtouff, Tae-Hee Cho, Carole Lartizien, Carole Frindel:
Lesion-Centered Vision Transformer for Stroke Outcome Prediction from Image and Clinical Data. 291-301 - Zhenghao Feng, Lu Wen, Jiaqi Cui, Xi Wu, Jianghong Xiao, Xingchen Peng, Dinggang Shen, Yan Wang:
Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction. 302-312 - Zheyu Wen, George Biros:
LNODE: Uncovering the Latent Dynamics of Aβ in Alzheimer's Disease. 313-322 - Dingrui Ma, Jiawei Cao, Hao Cheng, Dan Zhou, Jianping Liu, Xiaofeng Zhang, Kaijie Wu, Chaochen Gu, Xinping Guan:
Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer. 323-332 - Shidan He, Enyuan Hu, Zixuan Tang, Bin Chen, Dongdong Yu, Yuan Hong, Zhenzhong Liu, Mengtang Li, Lei Liu, Shen Zhao:
MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis. 333-342 - Jiaqing Zhang, Miguel Contreras, Jessica Sena, Andrea Davidson, Yuanfang Ren, Ziyuan Guan, Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Subhash Nerella, Azra Bihorac, Parisa Rashidi:
MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care. 343-352 - Qibin Zhang, Xinyu Hao, Qiao Chen, Rui Xu, Fengyu Cong, Cheng Lu, Hongming Xu:
Multi-modal Knowledge Decomposition Based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology. 353-363 - Mariana Mourão, Jacinto C. Nascimento, Carlos Santiago, Margarida Silveira:
Multi-scale Attention-Based Multiple Instance Learning for Breast Cancer Diagnosis. 364-374 - Shuo Huang, Lujia Zhong, Yonggang Shi:
Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer's Disease Diagnosis. 375-385 - Xiaoting Zeng, Li Li, Yu Liang, Weilin Chen, Baiying Lei:
Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction. 386-395 - Mingxin Liu, Chengfei Cai, Jun Li, Pengbo Xu, Jinze Li, Jiquan Ma, Jun Xu:
MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction. 396-406 - Kunyu Zhang, Qiang Li, Shujian Yu:
MvHo-IB: Multi-view Higher-Order Information Bottleneck for Brain Disorder Diagnosis. 407-417 - Zhenguo Zhang, Lin Teng, Nan Zhao, Yuxiao Liu, Zhaoyu Qiu, Zehao Weng, Jinwei Kong, Feng Shi, Dinggang Shen:
Neuro-AMS: Neuro-Informed Age-Aware and Medical Knowledge-Integrated Strategy for Diagnosis of Multiple Brain Disorders. 418-427 - Jiaxing Huang, Heng Guo, Le Lu, Fan Yang, Minfeng Xu, Ge Yang, Wei Luo:
Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-supervision, Mixture of Experts and Multi-task Integration. 428-438 - Qin Ren, Yifan Wang, Ruogu Fang, Haibin Ling, Chenyu You:
OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-Aware Optimal Transport. 439-449 - Qinkai Yu, Wei Zhou, Hantao Liu, Yanyu Xu, Meng Wang, Yitian Zhao, Huazhu Fu, Xujiong Ye, Yalin Zheng, Yanda Meng:
Parameterized Diffusion Optimization Enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading. 450-460 - Jiacheng Hao, Xiaoming Zhang, Wei Liu, Xiaoli Yin, Yuan Gao, Chunli Li, Ling Zhang, Le Lu, Yu Shi, Xu Han, Ke Yan:
PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-contrast CT Scans. 461-471 - Ling Dai, Yiqun Sun, Jincheng Gu, Qinsen Bao, Feihong Liu, Dinggang Shen:
Predicting Alzheimer's Disease Progression Using a Regression-Based Survival Model with Longitudinal Data. 472-482 - Yueqin Diao, Huihui Fang, Hanyi Yu, Yuning Wang, Yaling Tao, Ziyan Huang, Si Yong Yeo, Yanwu Xu:
Prior-Guided Prototype Aggregation Learning for Alzheimer's Disease Diagnosis. 483-492 - Xingyu Gao, Runyi Guo, Zhe Zhao:
Progression-Aware Generative Model Enhancing Baseline Visit Prediction of Early Alzheimer's Disease. 493-501 - Beidi Zhao, SangMook Kim, Hao Chen, Chen Zhou, Zu-hua Gao, Gang Wang, Xiaoxiao Li:
PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis. 502-512 - Rongchang Zhao, Zhangyue Wu, Jian Zhang, Zijian Zhang, Shuo Li:
RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning. 513-522 - G. Jignesh Chowdary, Tiezhi Zhang, Xin Qian, Zhaozheng Yin:
RANDose: A Region-Aware Attention Network for Accurate Radiation Dose Prediction. 523-532 - Wuque Cai, Jiayi He, Xu Guo, Hongze Sun, Huan Tong, Bo Wei, Hao Wu, Dezhong Yao, Daqing Guo:
Regression-Assisted Classification for CT-Based Portal Hypertension Diagnosis. 533-542 - Wenwen Si, Vivian Lin, Bo Sun, Kuk Jin Jang, Rubo Xing, Almiqdad Saeed, Rina Nagatani, Oleg Sokolsky, Insup Lee, Lama Al-Aswad:
Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control. 543-552 - Qinkai Yu, Jianyang Xie, Yitian Zhao, Cheng Chen, Lijun Zhang, Liming Chen, Jun Cheng, Lu Liu, Yalin Zheng, Yanda Meng:
Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport. 553-563 - Seonghyeon Ko, Huigyu Yang, Junghyun Bum, Duc-Tai Le, Hyunseung Choo:
Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors. 564-573 - Mingcheng Qu, Yuncong Wu, Donglin Di, Yue Gao, Tonghua Su, Yang Song, Lei Fan:
Spatially Gene Expression Prediction Using Dual-Scale Contrastive Learning. 574-584 - Jianwei Zhang, Yonggang Shi:
Surface-Based Multi-axis Longitudinal Disentanglement Using Contrastive Learning for Alzheimer's Disease. 585-594 - Shaoju Wu, Jian Wang, Sila Kurugol, Andy Tsai:
Temporal Atlas-Guided Generation of Longitudinal Data via Geometric Latent Embeddings. 595-605 - Ivana Janícková, Yen Y. Tan, Thomas H. Helbich, Konstantin Miloserdov, Zsuzsanna Bago-Horvath, Ulrike Heber, Georg Langs:
Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer. 606-615 - Viet Hung Duong, Huan Vu, Huong Duong Phan, Duc Quyen Nguyen, Duc Hao Pham, Quang Toan Le, Ba Sy Nguyen, Tien Dung Do, Viet Sang Dinh, Tien Cuong Nguyen, Huy Hoang Pham, Dien Hy Ngo:
ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset. 616-626 - Zige Chen, Haonan Qin, Wei Wang, Zhongkai Zhou, Chen Zhao, Yuqi Fang, Caifeng Shan:
Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction. 627-637 - Lisong Yin, Chuyang Ye, Tiantian Liu, Jinglong Wu, Tianyi Yan:
UniCross: Balanced Multimodal Learning for Alzheimer's Disease Diagnosis by Uni-modal Separation and Metadata-Guided Cross-Modal Interaction. 638-648 - Lehan Wang, Hualiang Wang, Chubin Ou, Lushi Chen, Yunyi Liang, Xiaomeng Li:
VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction. 649-659 - Zijun Sun, Solveig Thrun, Michael Kampffmeyer:
VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction. 660-669 - Haonan Rao, Shaolong Wei, Shu Jiang, Mingliang Wang, Weiping Ding, Jiashuang Huang:
VT-SNN: Variable Time-Step Spiking Neural Network Based on Uncertainty Measure and Its Application in Brain Disease Diagnosis. 670-679
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