Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks-Reference-Cited by-同舟云学术

Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks

Published:2024-04 Issue:4 Volume:28 Page:2235-2246
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Morano José¹^ORCID,Aresta Guilherme¹^ORCID,Grechenig Christoph²^ORCID,Schmidt-Erfurth Ursula²^ORCID,Bogunović Hrvoje¹^ORCID

Affiliation:

1. Christian Doppler Laboratory for Artificial Intelligence in Retina, Department of Ophthalmology and Optometry, Medical University of Vienna, Wien, Austria

2. Department of Ophthalmology and Optometry, Medical University of Vienna, Wien, Austria

Funder

Christian Doppler Forschungsgesellschaft

Austrian Federal Ministry for Digital and Economic Affairs

Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung

Heidelberg Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10491283/10388406.pdf?arnumber=10388406

Reference59 articles.

1. A Survey on Multimodal Data-Driven Smart Healthcare Systems: Approaches and Applications

2. Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

3. Harnessing multimodal data integration to advance precision oncology

4. A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics

5. PET/CT imaging in different types of lung cancer: An overview

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