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
Fusion of CT images and clinical variables based on deep learning for predicting invasiveness risk of stage I lung adenocarcinoma.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15903
Abstract: PURPOSE To develop a novel multimodal data fusion model by incorporating computed tomography (CT) images and clinical variables based on deep learning for predicting the invasiveness risk of stage I lung adenocarcinoma that manifests as… read more here.
Keywords: fusion; fusion model; clinical variables; multimodal data ... See more keywords
Deep compressed sensing MRI via a gradient-enhanced fusion model.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16164
Abstract: BACKGROUND Compressed sensing has been employed to accelerate magnetic resonance imaging by sampling fewer measurements. However, conventional iterative optimization-based CS-MRI are time-consuming for iterative calculations and often share poor generalization ability on multi-contrast datasets. Most… read more here.
Keywords: fusion; fusion model; compressed sensing; gradient ... See more keywords
An effective fusion model for image retrieval
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5192-x
Abstract: In the past decade, the popular Bag of Visual Words approach has been applied to many computer vision tasks, including image classification, video search, robot localization, and texture recognition. Unfortunately, most approaches use intensity features… read more here.
Keywords: effective fusion; color; image; fusion model ... See more keywords
A hybrid fusion model of iris, palm vein and finger vein for multi-biometric recognition system
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08914-6
Abstract: Biometric system has been widely adopted for human verification or identification, so inherently it requires the characteristics like high security, accuracy and acceptability. However, most of existing unimodal biometric systems provide low-middle security and are… read more here.
Keywords: system; fusion model; hybrid fusion; biometric system ... See more keywords
Long-term ground multi-level deformation fusion and analysis based on a combination of deformation prior fusion model and OTD-InSAR for longwall mining activity
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.107911
Abstract: Abstract Caused by the underground longwall mining activities, ground deformation, which includes sudden large-level deformation, slow small-level deformation and the middle-level deformation between them, can lead to serious construction damage and ecological environment degradation. In… read more here.
Keywords: deformation; level deformation; fusion model;
An object-based spatiotemporal fusion model for remote sensing images
Sign Up to like & getrecommendations! Published in 2021 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2021.1879683
Abstract: Spatiotemporal fusion technique can combine the advantages of temporal resolution and spatial resolution of different images to achieve continuous monitoring for the Earth’s surface, which is a fea... read more here.
Keywords: fusion model; object based; based spatiotemporal; remote sensing ... See more keywords
Multi-modal fusion model for predicting adverse cardiovascular outcome post percutaneous coronary intervention
Sign Up to like & getrecommendations! Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/ac9e8a
Abstract: Background. Clinical medicine relies heavily on the synthesis of information and data from multiple sources. However, often simple feature concatenation is used as a strategy for developing a multimodal machine learning model in the cardiovascular… read more here.
Keywords: fusion; fusion model; joint fusion; percutaneous coronary ... See more keywords
A Novel Multi-Module Approach to Predict Crime Based on Multivariate Spatio-Temporal Data Using Attention and Sequential Fusion Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3171843
Abstract: Forecasting crime is complex since several complicated aspects contribute to a crime. Predicting crime becomes more challenging because of the enormous number of everyday crime episodes in varied places. Though there are many established machine… read more here.
Keywords: fusion model; module; model; crime ... See more keywords
Driving Behavior Primitive Classification Using CNN-Based Fusion Models
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3391170
Abstract: Driving behavior primitives play a crucial role in semantic explanation of driving behaviors. Although much work has been done on exacting driving behavior primitives from naturalistic driving data, few studies was published on primitive classification.… read more here.
Keywords: fusion model; fusion; driving behavior; primitive classification ... See more keywords
Network Representation Learning-Enhanced Multisource Information Fusion Model for POI Recommendation in Smart City
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3006989
Abstract: With the advance of artificial intelligence and communication technology in the smart city, various location-based data of users can be collected via location-based social networks (LBSNs). How to make full use of these data for… read more here.
Keywords: recommendation; influence; fusion model; poi recommendation ... See more keywords