视觉与机器人

多模态信息融合

面向图像、视频、多传感器和跨模态感知的信息融合，包括 Image Fusion、红外可见光、遥感、医学影像、LiDAR/雷达/相机和音视频融合。

2026-01-14 至 2026-01-14 共收录 2 篇信号源：cs.CV, eess.IV, eess.SP, cs.RO, cs.MM

1. 医学影像融合 2 篇

2601.07871 2026-01-14 q-bio.QM cs.AI cs.CV cs.LG 57%

Imaging-anchored Multiomics in Cardiovascular Disease: Integrating Cardiac Imaging, Bulk, Single-cell, and Spatial Transcriptomics

心血管疾病中的成像锚定多组学：整合心脏成像、批量、单细胞和空间转录组学

Minh H. N. Le, Tuan Vinh, Thanh-Huy Nguyen, Tao Li, Bao Quang Gia Le, Han H. Huynh, Monika Raj, Carl Yang, Min Xu, Nguyen Quoc Khanh Le

机构 * International Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan ； AIBioMed Research Group, Taipei Medical University, Taipei, Taiwan ； Medical Sciences Division, University of Oxford, Oxford, United Kingdom ； Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA ； Department of Computer Science, Emory University, Atlanta, GA, USA ； Department of Chemistry, Emory University, Atlanta, GA, USA ； International Master Program for Translational Science, College of Medical Science ； Technology, Taipei Medical University, Taipei 110, Taiwan ； In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan ； Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan

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

AI总结本文提出通过整合心脏成像与多组学数据，推动心血管疾病研究的多模态融合方法，提升疾病诊断和治疗的精准性。

2502.00568 2026-01-14 cs.CV cs.AI cs.LG 57%

Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions

从癌症组织病理学生成跨模态基因表达以提高多模态AI预测

Samiran Dey, Christopher R. S. Banerji, Partha Basuchowdhuri, Sanjoy K. Saha, Deepak Parashar, Tapabrata Chakraborti

机构 * School of Mathematical & Computational Sciences, Indian Association for the Cultivation of Science（数学与计算科学学院，印度科学培养协会）； The Alan Turing Institute（艾伦·图灵研究所）； Comprehensive Cancer Center, King’s College London（国王学院综合癌症中心）； Department of Computer Science and Engineering, Jadavpur University（计算机科学与工程系，贾瓦德pur大学）； MRC Biostatistics Unit, University of Cambridge（剑桥大学医学研究委员会生物统计学单位）； Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University（生物统计学、生物信息学与生物数学系，杰斐逊大学）； UCL Cancer Institute, Dept of Medical Physics & Biomedical Engineering, University College London（伦敦大学学院癌症研究所，医学物理与生物医学工程系）

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

AI总结 PathGen通过生成跨模态基因表达提升癌症分级和生存风险预测的多模态AI性能