Response prediction of radiotherapy in lung cancer patients using multimodal data
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.70277
Abstract: Abstract Background and Purpose Radiotherapy (RT) is a critical treatment for lung cancer; however, individual responses vary significantly. Pre‐treatment prediction of RT response could guide clinical decision‐making and identify patients unlikely to benefit. This study… read more here.
Keywords: multimodal data; treatment; lung cancer; response ... 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
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
A Dual-Channel Multimodal Data Fusion Approach for Hot Metal Temperature Prediction in Blast Furnaces
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Sustainable Metallurgy"
DOI: 10.1007/s40831-025-01042-1
Abstract: Predicting the thermal state of the blast furnace is a crucial step in stabilizing operations, improving process efficiency, and minimizing disturbances that can increase energy consumption and emissions. Traditional first-principles models are limited by the… read more here.
Keywords: multimodal data; channel multimodal; fusion; hot metal ... 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
SHAP-driven insights into multimodal data: behavior phase prediction for industrial safety applications
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-18889-9
Abstract: Unsafe behaviors among coal miners are a primary factor contributing to accidents, posing significant challenges for safety management. This study develops a behavior state prediction framework using artificial intelligence and machine learning (ML) to investigate… read more here.
Keywords: multimodal data; shap driven; prediction; safety ... 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
PMinrKG: polymetallic mineral resources knowledge graph construction and its applications integrated with multimodal data
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2025.2494285
Abstract: ABSTRACT Currently, geological reports and maps of mineral resources contain a wealth of earth science knowledge and expert experience. A key challenge in mineral resource exploration and prediction is the standardization of complex mineral deposit… read more here.
Keywords: mineral resource; multimodal data; mineral resources; resources knowledge ... 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