Deep‐learning‐based renal artery stenosis diagnosis via multimodal fusion
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.14298
Abstract: Abstract Purpose Diagnosing Renal artery stenosis (RAS) presents challenges. This research aimed to develop a deep learning model for the computer‐aided diagnosis of RAS, utilizing multimodal fusion technology based on ultrasound scanning images, spectral waveforms,… read more here.
Keywords: deep learning; diagnosis; multimodal fusion; renal artery ... See more keywords
Interpretable Multimodal Fusion Model for Bridged Histology and Genomics Survival Prediction in Pan‐Cancer
Sign Up to like & getrecommendations! Published in 2025 at "Advanced Science"
DOI: 10.1002/advs.202407060
Abstract: Understanding the prognosis of cancer patients is crucial for enabling precise diagnosis and treatment by clinical practitioners. Multimodal fusion models based on artificial intelligence (AI) offer a comprehensive depiction of the tumor heterogeneity landscape, facilitating… read more here.
Keywords: fusion model; cancer; multimodal fusion; histology ... See more keywords
Semantic‐enhanced multimodal fusion network for fake news detection
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23084
Abstract: The increasing popularity of social media facilitates the propagation of fake news, posing a major threat to the government and journalism, and thereby making how to detect fake news from social media an urgent requirement.… read more here.
Keywords: news; multimodal fusion; fusion network; fake news ... See more keywords
Enhanced Tg Prediction in Polyimide via PolySDA: A Novel Shallow-Deep Multimodal Fusion Framework.
Sign Up to like & getrecommendations! Published in 2025 at "Macromolecular rapid communications"
DOI: 10.1002/marc.202500575
Abstract: Polyimide, as a specialized engineering material, is widely used in aerospace, electronic packaging, and high‐temperature coatings. Traditionally, determining the physical properties of polyimide (such as the glass transition temperature) involves expensive experimental equipment, leading to… read more here.
Keywords: shallow deep; framework; prediction; deep multimodal ... See more keywords
A multimodal fusion network based on variational autoencoder for distinguishing SCLC brain metastases from NSCLC brain metastases
Sign Up to like & getrecommendations! Published in 2025 at "Medical Physics"
DOI: 10.1002/mp.17816
Abstract: Distinguishing small cell lung cancer brain metastases from non‐small cell lung cancer brain metastases in MRI sequence images is crucial for the accurate diagnosis and treatment of lung cancer brain metastases. Multi‐MRI modalities provide complementary… read more here.
Keywords: brain; brain metastases; cancer brain; lung cancer ... See more keywords
Weakly paired multimodal fusion using multilayer extreme learning machine
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-018-3108-y
Abstract: Multimodal data have recently become nearly ubiquitous in the real world. Exploring the multimodal fusion is beneficial to improve the performance of the system. However, it is difficult to ensure that data collected from different… read more here.
Keywords: multimodal fusion; extreme learning; paired multimodal; weakly paired ... See more keywords
MultiFusionNet: multilayer multimodal fusion of deep neural networks for chest X-ray image classification
Sign Up to like & getrecommendations! Published in 2024 at "Soft Computing"
DOI: 10.1007/s00500-024-09901-x
Abstract: Chest X-ray imaging is a critical diagnostic tool for identifying pulmonary diseases. However, manual interpretation of these images is time-consuming and error-prone. Automated systems utilizing convolutional neural networks (CNNs) have shown promise in improving the… read more here.
Keywords: classification; multilayer multimodal; image; chest ray ... See more keywords
Object affordance based multimodal fusion for natural Human-Robot interaction
Sign Up to like & getrecommendations! Published in 2019 at "Cognitive Systems Research"
DOI: 10.1016/j.cogsys.2018.12.010
Abstract: Abstract Spoken language based natural Human-Robot Interaction (HRI) requires robots to have the ability to understand spoken language, and extract the intention-related information from the working scenario. For grounding the intention-related object in the working… read more here.
Keywords: multimodal fusion; affordance; natural human; object affordance ... See more keywords
Flexible Passive Wireless Sensing Platform with Frequency Mapping and Multimodal Fusion.
Sign Up to like & getrecommendations! Published in 2025 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.4c17280
Abstract: As one of the core parts of the Internet-of-things (IOTs), multimodal sensors have exhibited great advantages in fields such as human-machine interaction, electronic skin, and environmental monitoring. However, current multimodal sensors substantially introduce a bloated… read more here.
Keywords: multimodal fusion; passive wireless; frequency; sensing platform ... See more keywords
Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-78888-w
Abstract: Recent advancements in deep learning have led to a resurgence of medical imaging and Electronic Medical Record (EMR) models for a variety of applications, including clinical decision support, automated workflow triage, clinical prediction and more.… read more here.
Keywords: multimodal fusion; pulmonary embolism; record; imaging electronic ... See more keywords
Scalable intermediate-term earthquake forecasting with multimodal fusion neural networks
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-93877-7
Abstract: Seismology is witnessing rapid growth in both the volume and variety of earthquake observational data, but current tools for effectively integrating these heterogeneous data remain limited. Here, we propose SafeNet, a scalable deep learning framework… read more here.
Keywords: fusion neural; term; fusion; multimodal fusion ... See more keywords