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
Multimodal data modeling for efficiency assessment of social priority based urban bus route transportation system using GIS and data envelopment analysis
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6147-6
Abstract: Multimodal data modeling is fast growing area of research. It may used to combine the information from the different sources. The research interest in multimodal data modeling is increasingly attracting the attention in the field… read more here.
Keywords: multimodal data; efficiency; bus route; data modeling ... See more keywords
3D models retrieval algorithm based on multimodal data
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.06.087
Abstract: Abstract With the development of computer vision in recent year, 3D models have been utilized in many applications, such as virtual reality, medical surgical, geographic information system. With the growth of 3D models, it is… read more here.
Keywords: based multimodal; models retrieval; algorithm based; model ... See more keywords
Probabilistic routing using multimodal data
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.08.138
Abstract: Human tracking and prediction are pervasive nowadays. It is possible to integrate multi-source human tracking data and location based social media data, which includes spatial data, temporal data, and textual data, to make human-mobility prediction… read more here.
Keywords: bus subway; human tracking; using multimodal; probabilistic routing ... See more keywords
Soybean yield prediction from UAV using multimodal data fusion and deep learning
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2019.111599
Abstract: Abstract Preharvest crop yield prediction is critical for grain policy making and food security. Early estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping and precision agriculture. New developments in… read more here.
Keywords: data fusion; yield prediction; yield; fusion ... See more keywords
Manifold learning analysis suggests strategies to align single-cell multimodal data of neuronal electrophysiology and transcriptomics.
Sign Up to like & getrecommendations! Published in 2021 at "Communications biology"
DOI: 10.1038/s42003-021-02807-6
Abstract: Recent single-cell multimodal data reveal multi-scale characteristics of single cells, such as transcriptomics, morphology, and electrophysiology. However, integrating and analyzing such multimodal data to deeper understand functional genomics and gene regulation in various cellular characteristics… read more here.
Keywords: single cell; multimodal data; gene expression; electrophysiology ... See more keywords
Modeling and analyzing single-cell multimodal data with deep parametric inference
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad005
Abstract: The proliferation of single-cell multimodal sequencing technologies has enabled us to understand cellular heterogeneity with multiple views, providing novel and actionable biological insights into the disease-driving mechanisms. Here, we propose a comprehensive end-to-end single-cell multimodal… read more here.
Keywords: deep parametric; cell; multimodal data; parametric inference ... See more keywords
A strategy for multimodal data integration: application to biomarkers identification in spinocerebellar ataxia
Sign Up to like & getrecommendations! Published in 2018 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbx060
Abstract: The growing number of modalities (e.g. multi-omics, imaging and clinical data) characterizing a given disease provides physicians and statisticians with complementary facets reflecting the disease process but emphasizes the need for novel statistical methods of… read more here.
Keywords: data sets; spinocerebellar ataxia; analysis; strategy multimodal ... See more keywords
SMDB: a Spatial Multimodal Data Browser.
Sign Up to like & getrecommendations! Published in 2023 at "Nucleic acids research"
DOI: 10.1093/nar/gkad413
Abstract: Understanding the relationship between fine-scale spatial organization and biological function necessitates a tool that effectively combines spatial positions, morphological information, and spatial transcriptomics (ST) data. We introduce the Spatial Multimodal Data Browser (SMDB, https://www.biosino.org/smdb), a… read more here.
Keywords: browser smdb; data browser; multimodal data; multimodal ... See more keywords
CMRDF: A Real-Time Food Alerting System Based on Multimodal Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.2996009
Abstract: A healthy diet is a major concern for everyone, especially for those with specific diseases, such as diabetes. Meanwhile, with the rapid development of new technologies, it is feasible for us to detect the deep… read more here.
Keywords: system; food; multimodal data; based multimodal ... See more keywords
A Multimodal Data Fusion Technique for Heartbeat Detection in Wearable IoT Sensors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3093112
Abstract: The accurate detection of heartbeats is of paramount importance in the current healthcare scenario as they act as an indicator for various underlying cardiac conditions and provides an indication of cardiorespiratory fitness. The article presents… read more here.
Keywords: iot sensors; fusion technique; multimodal data; data fusion ... See more keywords