多模态信息融合 - arXivDaily 专题

2505.00525 2025-05-02 eess.IV cs.CV cs.LG 62%

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities

Abu Saleh Musa Miah, taro Suzuki, Jungpil Shin

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

2412.06314 2025-05-01 eess.IV cs.AI cs.CV 62%

CAD-Unet: A Capsule Network-Enhanced Unet Architecture for Accurate Segmentation of COVID-19 Lung Infections from CT Images

Yijie Dang, Weijun Ma, Xiaohu Luo, Huaizhu Wang

机构 * School of Information Engineering, Ningxia University（宁夏大学信息工程学院）； Ningxia Key Laboratory of Artificial Intelligence and Information Security for Channeling Computing Resources from the East to the West, Ningxia University（宁夏人工智能与信息安全重点实验室）； School of Mathematics and Computer Science, Ningxia Normal University（宁夏师范学院数学与计算机科学学院）； School of Advanced Interdisciplinary Studies, Ningxia University（宁夏大学先进交叉学科学院）

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

Comments Published in Medical Image Analysis, Volume 103, 2025, Pages 103583. DOI: 10.1016/j.media.2025.103583 This is the author's pre-print version prior to final journal edits. Final published version available at: https://www.sciencedirect.com/science/article/pii/S1361841525001306

2503.00586 2025-03-04 eess.IV cs.CV q-bio.QM 62%

Cross-Attention Fusion of MRI and Jacobian Maps for Alzheimer's Disease Diagnosis

Shijia Zhang, Xiyu Ding, Brian Caffo, Junyu Chen, Cindy Zhang, Hadi Kharrazi, Zheyu Wang

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

Comments Submitted to MICCAI 2025

2502.00712 2025-02-04 eess.IV cs.AI cs.CV 62%

Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images

Shengtian Sang, Hassan Jahanandish, Cynthia Xinran Li, Indrani Bhattachary, Jeong Hoon Lee, Lichun Zhang, Sulaiman Vesal, Pejman Ghanouni, Richard Fan, Geoffrey A. Sonn, Mirabela Rusu

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

2501.11276 2025-01-22 eess.IV cs.CV 62%

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction

Xiangyang Hu, Xiangyu Shen, Yifei Sun, Xuhao Shan, Wenwen Min, Liyilei Su, Xiaomao Fan, Ahmed Elazab, Ruiquan Ge, Changmiao Wang, Xiaopeng Fan

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

Comments 5 pages, 1 figure, accepted by IEEE ISBI 2025

2404.02394 2024-12-30 eess.IV cs.CV 62%

Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis

Huajun Zhou, Fengtao Zhou, Hao Chen

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

Comments 10 pages, 9 figures

2411.15233 2024-12-10 eess.IV cs.CV 62%

Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI

Meng Ye, Bingyu Xin, Bangwei Guo, Leon Axel, Dimitris Metaxas

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

2403.06801 2024-07-08 eess.IV cs.CV 62%

CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging

Ibrahim Ethem Hamamci, Sezgin Er, Bjoern Menze

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

2405.01658 2024-05-06 eess.IV cs.CV 62%

MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems

Tiago Mota, M. Rita Verdelho, Alceu Bissoto, Carlos Santiago, Catarina Barata

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

Comments Accepted in DCA in MI Workshop@CVPR2024

2404.07473 2024-04-12 eess.IV cs.CV cs.LG 62%

LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation

Songkai Sun, Qingshan She, Yuliang Ma, Rihui Li, Yingchun Zhang

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

2404.00144 2024-04-02 eess.IV cs.CV 62%

An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis

Ziyu Zhou, Anton Orlichenko, Gang Qu, Zening Fu, Vince D Calhoun, Zhengming Ding, Yu-Ping Wang

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

2306.16324 2024-03-29 eess.IV cs.CV 62%

DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy

Yiwen Zhang, Chuanpu Li, Liming Zhong, Zeli Chen, Wei Yang, Xuetao Wang

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

2311.10798 2023-11-21 cs.LG cs.AI cs.CV eess.IV 62%

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis

Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz, Serena Yeung, Nigam H. Shah, Jason A. Fries

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

2311.01308 2023-11-03 eess.IV cs.CV 62%

Hybrid-Fusion Transformer for Multisequence MRI

Jihoon Cho, Jinah Park

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

Comments 10 pages, 4 figures

2310.02690 2023-10-05 eess.IV cs.CV 62%

Multi-Dimension-Embedding-Aware Modality Fusion Transformer for Psychiatric Disorder Clasification

Guoxin Wang, Xuyang Cao, Shan An, Fengmei Fan, Chao Zhang, Jinsong Wang, Feng Yu, Zhiren Wang

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

2307.07807 2023-07-18 eess.IV cs.CV 62%

MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis

Junyu Li, Han Huang, Dong Ni, Wufeng Xue, Dongmei Zhu, Jun Cheng

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

Comments MICCAI 2023

2307.00873 2023-07-04 eess.IV cs.CV 62%

End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers

Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin

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

2304.02883 2023-04-07 eess.IV cs.CV 62%

GA-HQS: MRI reconstruction via a generically accelerated unfolding approach

Jiawei Jiang, Yuchao Feng, Honghui Xu, Wanjun Chen, Jianwei Zheng

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

2302.03537 2023-02-08 eess.IV cs.CV 62%

Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation

Wangbin Ding, Lei Li, Junyi Qiu, Sihan Wang, Liqin Huang, Yinyin Chen, Shan Yang, Xiahai Zhuang

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

2302.01788 2023-02-06 eess.IV cs.CV 62%

IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data

Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jonas Teuwen, Regina Beets-Tan, Ritse Mann

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

2209.02126 2022-09-07 eess.IV cs.CV 62%

Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

Sulaiman Vesal, Iani Gayo, Indrani Bhattacharya, Shyam Natarajan, Leonard S. Marks, Dean C Barratt, Richard E. Fan, Yipeng Hu, Geoffrey A. Sonn, Mirabela Rusu

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

Comments Accepted to the journal of Medical Image Analysis (MedIA)

2208.14876 2022-09-01 eess.IV cs.CV 62%

NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation

Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, Lei Zhu

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

Comments MICCAI2022

2207.02094 2022-07-06 eess.IV cs.CV 62%

Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs

Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger

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

2206.14746 2022-06-30 eess.IV cs.CV 62%

Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View

Veronika A. Zimmer, Alberto Gomez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel

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

Comments 21 pages (18 + appendix), 13 figures (9 + appendix)

2112.04984 2021-12-10 eess.IV cs.CV cs.LG 62%

Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images

Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang

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

Comments 32 pages, 8 figures, Applied Soft Computing

2111.11665 2021-11-30 eess.IV cs.CV 62%

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR

Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries, Alaa Youssef, Timothy J. Amrhein, Marcello Chang, Imon Banerjee, Daniel Rubin, Lei Xing, Nigam Shah, Matthew P. Lungren

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

Comments RadFusion dataset: https://stanfordaimi.azurewebsites.net/datasets/3a7548a4-8f65-4ab7-85fa-3d68c9efc1bd

2011.00694 2020-11-03 cs.CV eess.IV 62%

Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography

Lufei Gao, Ruisong Zhou, Changfeng Dong, Cheng Feng, Zhen Li, Xiang Wan, Li Liu

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

2002.05322 2020-02-18 eess.IV cs.CV cs.LG 62%

Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images

Ying Da Wang, Mehdi Shabaninejad, Ryan T. Armstrong, Peyman Mostaghimi

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

Comments 16 figures

2002.05000 2020-02-13 cs.CV eess.IV 62%

Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis

Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao

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

Comments has been accepted by IEEE TMI

2608.16962 2026-08-19 eess.IV 新提交 57%

Clinical Pathways Matter for Multimodal Deep Learning in Early Alzheimers Disease Detection

临床路径对早期阿尔茨海默病检测中的多模态深度学习至关重要

Yao Lu, Solveig Kristina Hammonds, Alvaro Fernandez-Quilez

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

AI总结该研究提出基于SigLIP的零样本多模态框架，结合结构MRI与常规临床变量，在ADNI队列中实现早期阿尔茨海默病风险分层，性能优于传统模型，且可扩展至纵向数据。

Comments Published

1. 医学影像融合 153 篇

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities

CAD-Unet: A Capsule Network-Enhanced Unet Architecture for Accurate Segmentation of COVID-19 Lung Infections from CT Images

Cross-Attention Fusion of MRI and Jacobian Maps for Alzheimer's Disease Diagnosis

Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction

Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis

Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI

CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging

MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems

LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation

An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis

DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis

Hybrid-Fusion Transformer for Multisequence MRI

Multi-Dimension-Embedding-Aware Modality Fusion Transformer for Psychiatric Disorder Clasification

MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis

End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers

GA-HQS: MRI reconstruction via a generically accelerated unfolding approach

Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation

IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data

Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation

Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs

Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View

Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR

Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography

Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images

Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis

Clinical Pathways Matter for Multimodal Deep Learning in Early Alzheimers Disease Detection