多模态信息融合

Coupled Feature Learning for Multimodal Medical Image Fusion

Farshad G. Veshki, Nora Ouzir, Sergiy A. Vorobyov, Esa Ollila

专题命中 医学影像融合 ：image fusion(title,abstract)；medical image fusion(title,abstract)；multimodal image fusion(abstract)；分类 cs.CV、eess.IV

W-DUALMINE: Reliability-Weighted Dual-Expert Fusion With Residual Correlation Preservation for Medical Image Fusion

W-DUALMINE：基于残差相关性保持的可靠性加权双专家融合用于医学图像融合

Md. Jahidul Islam

机构 * Department of Electrical and Electronic Engineering（电气与电子工程系） 纠错

专题命中 医学影像融合 ：image fusion(title,abstract)；medical image fusion(title,abstract)；分类 cs.CV、eess.IV

AI总结 W-DUALMINE通过可靠性加权双专家融合策略，解决医学图像融合中全局相关性与局部结构保真的权衡问题，提升融合效果。

A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis

Muhammad Zubair, Muzammil Hussai, Mousa Ahmad Al-Bashrawi, Malika Bendechache, Muhammad Owais

机构 * Interdisciplinary Research Center for Finance and Digital Economy, King Fahd University of Petroleum and Minerals（金融与数字经济交叉研究中心，国王法赫德石油和矿物大学） ； Department of Software Engineering, Faculty of Information Technology, Al-Ahliyya Amman University（软件工程系，信息科技学院，阿尔阿赫利亚大学） ； Department of Information Systems and Operations Management, King Fahd University of Petroleum and Minerals（信息系统与运营管理系，国王法赫德石油和矿物大学） ； ADAPT Research Centre, School of Computer Science, University of Galway（ADAPT研究中心，计算机科学学院，Galway大学） ； Department of Mechanical and Nuclear Engineering, Khalifa University（机械与核工程系，哈利法大学） 纠错

专题命中 医学影像融合 ：image fusion(title,abstract)；medical image fusion(title,abstract)；分类 cs.CV、eess.IV

Comments computerized medical imaging and graphics Journal submission

Three-Dimensional Medical Image Fusion with Deformable Cross-Attention

Lin Liu, Xinxin Fan, Chulong Zhang, Jingjing Dai, Yaoqin Xie, Xiaokun Liang

专题命中 医学影像融合 ：image fusion(title,abstract)；medical image fusion(title,abstract)；分类 cs.CV、eess.IV

MIND: Multimodal Intent-Driven Network via Diffusion Transformers for Medical Image Fusion

MIND：基于扩散Transformer的多模态意图驱动网络用于医学图像融合

Yunzhan Fu, Xiangyu Shen, Yifei Sun, Yuhan Chen, Jian Wu, Hongxia Xu

机构 * Transvascular Implantation Devices Research Institute, Zhejiang University（浙江大学血管内植入器械研究院） ； Zhejiang University（浙江大学） ； Hangzhou Institute of Technology, Xidian University（西安电子科技大学杭州研究院） ； Hangzhou Dianzi University（杭州电子科技大学） 纠错

专题命中 医学影像融合 ：image fusion(title,abstract)；medical image fusion(title,abstract)；分类 cs.CV

AI总结 该研究针对现有医学图像融合方法缺乏对诊断意图深度理解的问题，提出基于DiTs的MIND网络，通过BioMedGPT、多尺度潜在适配器和医学语义一致性损失优化，在多数据集上取得优异效果，可提升脑肿瘤分割精度并支持交互式融合。

Comments 14pages, 14 figures, accepted by ACM MM2026

TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR

TriFusion-SR：联合三模态医学图像融合与超分辨率

Fayaz Ali Dharejo, Sharif S. M. A., Aiman Khalil, Nachiket Chaudhary, Rizwan Ali Naqvi, Radu Timofte

专题命中 医学影像融合 ：image fusion(title,abstract)；medical image fusion(title,abstract)；分类 cs.CV

AI总结 TriFusion-SR通过联合三模态医学图像融合与超分辨率技术，利用小波引导的条件扩散框架实现频率感知的跨模态交互，提升图像质量和分辨率。

Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRI

Yutian Zhong, Jinchuan He, Zhichao Liang, Shuangyang Zhang, Qianjin Feng, Lijun Lu, Li Qi

专题命中 医学影像融合 ：image fusion(title,abstract)；medical image fusion(title,abstract)；分类 eess.IV

Multi-modal Medical Image Fusion For Non-Small Cell Lung Cancer Classification

Salma Hassan, Hamad Al Hammadi, Ibrahim Mohammed, Muhammad Haris Khan

专题命中 医学影像融合 ：image fusion(title)；medical image fusion(title)；分类 cs.CV、eess.IV

Multimodal Fusion Learning with Dual Attention for Medical Imaging

Joy Dhar, Nayyar Zaidi, Maryam Haghighat, Puneet Goyal, Sudipta Roy, Azadeh Alavi, Vikas Kumar

专题命中 医学影像融合 ：multimodal fusion(title,abstract)；information fusion(abstract)；分类 cs.CV

Comments 10 pages

Journal ref IEEE/CVF Winter Conference on Applications of Computer Vision WACV 2025

DREAM: Dynamic Retinal Enhancement with Adaptive Multi-modal Fusion for Expert Precision Medical Report Generation

DREAM：动态视网膜增强与自适应多模态融合用于专家精准医疗报告生成

Nagur Shareef Shaik, Teja Krishna Cherukuri, Dong Hye Ye

机构 * Department of Computer Science, Georgia State University（佐治亚州立大学计算机科学系） 纠错

专题命中 医学影像融合 ：multi-modal fusion(title,abstract)；分类 cs.CV、eess.SP

AI总结 DREAM通过动态多模态融合提升视网膜图像医疗报告生成精度，在数据有限时仍能生成高质量报告，实现BLEU-4 0.241的SOTA表现。

Comments Accepted at the IEEE Engineering in Medicine and Biology Society Annual International Conference (Proceedings of the 48th International Conference), 2026

MedMimic: Physician-Inspired Multimodal Fusion for Early Diagnosis of Fever of Unknown Origin

Minrui Chen, Yi Zhou, Huidong Jiang, Yuhan Zhu, Guanjie Zou, Minqi Chen, Rong Tian, Hiroto Saigo

专题命中 医学影像融合 ：multimodal fusion(title,abstract)；分类 cs.CV、eess.IV

3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention

Huan Huang, Liheng Qiu, Shenmiao Yang, Longxi Li, Jiaofen Nan, Yanting Li, Chuang Han, Fubao Zhu, Chen Zhao, Weihua Zhou

专题命中 医学影像融合 ：information fusion(title,abstract)；分类 cs.CV、eess.IV

Comments 19 pages, 7 figures; reference added

GCN-MIF: Graph Convolutional Network with Multi-Information Fusion for Low-dose CT Denoising

Kecheng Chen, Jiayu Sun, Jiang Shen, Jixiang Luo, Xinyu Zhang, Xuelin Pan, Dongsheng Wu, Yue Zhao, Miguel Bento, Yazhou Ren, Xiaorong Pu

专题命中 医学影像融合 ：information fusion(title,abstract)；分类 cs.CV、eess.IV

Comments Submitted to TMI with under review

Coarse-to-fine Airway Segmentation Using Multi information Fusion Network and CNN-based Region Growing

Jinquan Guo, Rongda Fu, Lin Pan, Shaohua Zheng, Liqin Huang, Bin Zheng, Bingwei He

专题命中 医学影像融合 ：information fusion(title,abstract)；分类 cs.CV、eess.IV

Multimodal fusion of imaging and genomics for lung cancer recurrence prediction

Vaishnavi Subramanian, Minh N. Do, Tanveer Syeda-Mahmood

专题命中 医学影像融合 ：multimodal fusion(title,abstract)；分类 eess.IV、eess.SP

Comments Accepted for presentation at International Symposium on Biomedical Imaging (ISBI) 2020 (Iowa City). 5 pages, last page references

NeuroAlign: Hierarchical Multimodal Fusion of Dynamic and Structural Neuroimaging for MCI Analysis

NeuroAlign: 用于MCI分析的动态与结构性神经影像的分层多模态融合

Xiongri Shen, Zhenxi Song, Jiaqi wang, Yi Zhong, Leilei Zhao, Chenqi Xu, Linling Li, Yichen Wei, Lingyan Liang, Demao Deng, Luping Song, Ping Luan, Ahmed M. Anter, Shuqiang Wang, Baiying Lei, Zhiguo Zhang

机构 * Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen)（哈尔滨工业大学（深圳）计算机科学与技术学院） ； School of Intelligence Science and Engineering, College of Artificial Intelligence, Harbin Institute of Technology, Shenzhen（哈尔滨工业大学（深圳）人工智能学院智能科学与工程学院） ； School of Artificial Intelligence, Beijing University of Posts and Telecommunications（北京邮电大学人工智能学院） ； Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University（深圳大学医学部生物医学工程学院广东省生物医学测量与超声成像重点实验室） ； Department of Radiology, The People’s Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences（广西壮族自治区人民医院放射科，广西医学科学院） ； Shenzhen Sixth People’s Hospital (Nanshan Hospital), Huazhong University of Science and Technology Union Shenzhen Hospital（华中科技大学协和深圳医院（深圳市第六人民医院）） ； School of Basic Medical Sciences, Shenzhen University（深圳大学基础医学院） ； Egypt-Japan University of Science and Technology (E-JUST)（埃及日本科技大学） ； School of Biomedical Engineering, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University Medical School（深圳大学医学部生物医学工程学院，国家地方联合医学超声关键技术工程实验室，广东省生物医学测量与超声成像重点实验室） 纠错

专题命中 医学影像融合 ：multimodal fusion(title,abstract)；分类 cs.CV

AI总结 提出NeuroAlign框架，通过双模态分层对齐和双域分层交互融合fMRI与DTI特征，实现MCI/SCD检测，并设计无梯度归因方法SAM进行特征分析。

USCNet: Transformer-Based Multimodal Fusion with Segmentation Guidance for Urolithiasis Classification

USCNet：基于Transformer的多模态融合与分割引导的尿路结石分类

Changmiao Wang, Songqi Zhang, Yongquan Zhang, Yifei Wang, Liya Liu, Nannan Li, Xingzhi Li, Jiexin Pan, Yi Jiang, Xiang Wan, Hai Wang, Ahmed Elazab

机构 * Shenzhen Research Institute of Big Data（深圳市大数据研究院） ； Zhejiang University of Finance and Economics（浙江财经大学） ； Anhui University of Finance and Economics（安徽财经大学） ； The Second Affiliated Hospital of Chinese University of Hong Kong (Longgang District People’s Hospital of Shenzhen)（香港中文大学第二附属医院（深圳市龙岗区人民医院）） 纠错

专题命中 医学影像融合 ：multimodal fusion(title,abstract)；分类 cs.CV

AI总结 USCNet通过融合CT图像与电子病历数据，利用Transformer架构实现尿路结石的预手术分类，提出动态损失函数平衡分割与分类任务，实验表明其分类效果优于现有方法。

Comments Accepted by IEEE Journal of Biomedical and Health Informatics. Early Access

HyPCA-Net: Advancing Multimodal Fusion in Medical Image Analysis

HyPCA-Net：在医学图像分析中推进多模态融合

J. Dhar, M. K. Pandey, D. Chakladar, M. Haghighat, A. Alavi, S. Mistry, N. Zaidi

机构 * Indian Institute of Technology Ropar（印度理工学院罗帕尔分校） ； RoentGen Health（RoentGen健康公司） ； Lulea University of Technology（卢勒奥大学） ； QUT（昆士兰科技大学） ； RMIT University（皇家墨尔本理工大学） ； Curtin University（Curtin大学） ； Deakin University（德肯大学） 纠错

专题命中 医学影像融合 ：multimodal fusion(title,abstract)；分类 cs.CV

AI总结 HyPCA-Net通过高效残差注意力模块和双视角级联注意力模块，提升多模态医学图像分析的性能与效率。

Comments Accepted at the IEEE/CVF Winter Conference on Applications of Computer Vision 2026

AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning

AdaFuse：基于强化学习的自适应多模态融合用于肺癌风险预测

Chongyu Qu, Zhengyi Lu, Yuxiang Lai, Thomas Z. Li, Junchao Zhu, Junlin Guo, Juming Xiong, Yanfan Zhu, Yuechen Yang, Allen J. Luna, Kim L. Sandler, Bennett A. Landman, Yuankai Huo

机构 * Vanderbilt University（范德比尔特大学） ； Vanderbilt University Medical Center（范德比尔特大学医学中心） ； Emory University（埃默里大学） 纠错

专题命中 医学影像融合 ：multimodal fusion(title,abstract)；分类 cs.CV

AI总结 AdaFuse利用强化学习实现自适应多模态融合，通过动态选择和融合模态提升肺癌风险预测的AUC性能。

A review of deep learning-based information fusion techniques for multimodal medical image classification

Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec

专题命中 医学影像融合 ：information fusion(title)；multimodal fusion(abstract)；分类 cs.CV

US \& MRI Image Fusion Based on Markerless Skin Registration

Martina Paccini, Giacomo Paschina, Stefano De Beni, Andrei Stefanov, Velizar Kolev, Giuseppe Patanè

专题命中 医学影像融合 ：image fusion(title,abstract)；分类 cs.CV

Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology

Holger R. Roth, Kai Nagara, Hirohisa Oda, Masahiro Oda, Tomoshi Sugiyama, Shota Nakamura, Kensaku Mori

专题命中 医学影像融合 ：image fusion(title,abstract)；分类 cs.CV

Comments In proceedings of International Forum on Medical Imaging, IFMIA 2017, Okinawa, Japan

Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment

Jianbo Yuan, Haofu Liao, Rui Luo, Jiebo Luo

专题命中 医学影像融合 ：image fusion(title)；分类 cs.CV、eess.IV、cs.MM

Journal ref MICCAI 2019

$M^{2}$Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction

Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo

专题命中 医学影像融合 ：multimodal fusion(abstract)；feature-level fusion(abstract)；decision-level fusion(abstract)；分类 cs.CV

Interpretable Alzheimer's Diagnosis via Multimodal Fusion of Regional Brain Experts

可解释的阿尔茨海默病诊断：基于区域脑专家的多模态融合

Farica Zhuang, Shu Yang, Dinara Aliyeva, Zixuan Wen, Duy Duong-Tran, Christos Davatzikos, Tianlong Chen, Song Wang, Li Shen

机构 * University of Pennsylvania（宾夕法尼亚大学） ； Massachusetts Institute of Technology（麻省理工学院） 纠错

专题命中 医学影像融合 ：multimodal fusion(title)；分类 cs.CV、eess.IV

AI总结 提出MREF-AD多模态区域专家融合模型，采用混合专家框架将各模态脑区域视为独立专家，通过门控网络学习个性化融合权重，实现可解释的AD诊断。

Comments Published at IEEE ICHI 2026

Synergy vs. Noise: Performance-Guided Multimodal Fusion For Biochemical Recurrence-Free Survival in Prostate Cancer

Seth Alain Chang, Muhammad Mueez Amjad, Noorul Wahab, Ethar Alzaid, Nasir Rajpoot, Adam Shephard

机构 * Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, UK（沃里克大学计算机科学系组织图像分析中心） 纠错

专题命中 医学影像融合 ：multimodal fusion(title)；分类 cs.CV、eess.IV

Comments 5 pages, 1 figure, 4 tables

Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration

Maximilian Tschuchnig, Lukas Lamminger, Philipp Steininger, Michael Gadermayr

机构 * Salzburg University of Applied Sciences（萨尔茨堡应用科学大学） ； MedPhoton GmbH（MedPhoton公司） ； University of Salzburg（萨尔茨堡大学） 纠错

专题命中 医学影像融合 ：multimodal fusion(title)；分类 cs.CV、eess.IV

Comments Accepted at CAIP 2025. arXiv admin note: substantial text overlap with arXiv:2506.08716

Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment

Maximilian Tschuchnig, Lukas Lamminger, Philipp Steininger, Michael Gadermayr

机构 * Salzburg University of Applied Sciences（萨尔茨堡应用科学大学） ； MedPhoton GmbH（MedPhoton公司） ； University of Salzburg（萨尔茨堡大学） 纠错

专题命中 医学影像融合 ：multimodal fusion(title)；分类 cs.CV、eess.IV

Comments Data is open source. Code will be provided on acceptance. Paper currently under review

MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion

Jing Zou, Lanqing Liu, Qi Chen, Shujun Wang, Zhanli Hu, Xiaohan Xing, Jing Qin

专题命中 医学影像融合 ：information fusion(title)；分类 cs.CV、eess.IV

Comments 10 pages, 5 figure

Automatic Detection of Alzheimer's Disease with Multi-Modal Fusion of Clinical MRI Scans

Long Chen, Liben Chen, Binfeng Xu, Wenxin Zhang, Narges Razavian

专题命中 医学影像融合 ：multi-modal fusion(title)；分类 cs.CV、eess.IV