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   Articles with "multiview" as a keyword



Perspective on Multiview Super‐Resolution Microscopy: Innovations and Future Directions

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recommendations! Published in 2025 at "Advanced Engineering Materials"

DOI: 10.1002/adem.202402559

Abstract: Multiview super‐resolution microscopy (MSRM) has revolutionized biological imaging by providing unprecedented spatial resolution, enabling detailed visualization of complex biological structures and processes. This review explores recent advancements in MSRM, including its integration with deep learning,… read more here.

Keywords: resolution microscopy; multiview super; resolution; multiview ... See more keywords

Pseudolabel‐guided multiview consensus graph learning for semisupervised classification

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22958

Abstract: Semisupervised multiview learning gains extensive research attention due to its strong capability to utilize the heterogeneous features and the label information of a few labeled samples. However, the supervision information is not well utilized in… read more here.

Keywords: information; consensus; consensus graph; multiview ... See more keywords

Complete region of interest reconstruction by fusing multiview deformable three-dimensional transesophageal echocardiography images.

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recommendations! Published in 2022 at "Medical physics"

DOI: 10.1002/mp.15910

Abstract: BACKGROUND While three-dimensional transesophageal echocardiography (3D TEE) has been increasingly used for assessing cardiac anatomy and function, it still suffers from a limited field of view (FoV) of the ultrasound transducer. Therefore, it is difficult… read more here.

Keywords: fusion; tee; multiview; method ... See more keywords

Completion of multiview missing data based on multi-manifold regularised non-negative matrix factorisation

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recommendations! Published in 2020 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-020-09824-7

Abstract: In multi-source data analysis, the absence of data values or attributes is inevitably brought about by various influencing factors including environment, which results in the loss of knowledge to be conveyed by data. To solve… read more here.

Keywords: completion; multiview; multi manifold; non negative ... See more keywords

A novel approach for classification of mental tasks using multiview ensemble learning (MEL)

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.07.050

Abstract: Abstract Brain-computer interface (BCI) is a domain, in which a person can send information without using any exterior nerve or muscles, just using their brain signal, called electroencephalography (EEG) signal. Multiview learning or data integration… read more here.

Keywords: multiview ensemble; classification; mental tasks; multiview ... See more keywords

ComNet: A Multiview Deep Learning Model for Predicting Drug Combination Side Effects

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recommendations! Published in 2025 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.4c01737

Abstract: As combination therapy becomes more common in clinical applications, predicting adverse effects of combination medications is a challenging task. However, there are three limitations of the existing prediction models. First, they rely on a single… read more here.

Keywords: deep learning; information; combination; multiview ... See more keywords

DeepAIPs-SFLA: Deep Convolutional Model for Prediction of Anti-Inflammatory Peptides Using Binary Pattern Decomposition of Novel Multiview Descriptors with an SFLA Approach

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recommendations! Published in 2025 at "ACS Omega"

DOI: 10.1021/acsomega.5c02422

Abstract: Inflammation is a vital biological response of the human immune system to harmful stimuli, and it plays a vital role in tissue repair and pathogen elimination. However, chronic inflammation can lead to severe diseases such… read more here.

Keywords: inflammatory peptides; multiview; model; feature ... See more keywords

Efficient Reversible Data Hiding Based on View Synthesis Prediction for Multiview Depth Maps

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3355749

Abstract: Multiview-plus-depth (MVD), which has been used as a 3D format, consists of a texture image and its corresponding depth map at each viewpoint. This MVD-based 3D format has two strong correlations, which are an inter-component… read more here.

Keywords: depth map; depth; multiview; prediction ... See more keywords

Reconstruction Algorithm for Lost Frame of Multiview Videos in Wireless Multimedia Sensor Network Based on Deep Learning Multilayer Perceptron Regression

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recommendations! Published in 2018 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2018.2865916

Abstract: Wireless multimedia sensor network (WMSN) is important for environmental monitoring. When the sensors are used as cameras, the network can be regarded as a multiview video system. The Packet loss may occur when the multiview… read more here.

Keywords: reconstruction; network; deep learning; method ... See more keywords

Unsupervised Semantic Segmentation of PolSAR Images Based on Multiview Similarity

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3365664

Abstract: Semantic segmentation is an essential task in polarimetric synthetic aperture radar (PolSAR) image interpretation. To address the issue of insufficient measurement ability of single-view similarity, an unsupervised semantic segmentation method for PolSAR images based on… read more here.

Keywords: segmentation; multiview; semantic segmentation; polsar images ... See more keywords

A Learning-Based Dual-Scale Enhanced Confidence for DSM Fusion in 3-D Reconstruction of Multiview Satellite Images

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3564378

Abstract: Compared to two-view reconstruction, multiview imagery leverages redundant information to mitigate the effects of occlusion and noise. Deep-learning-based multiview stereo (MVS) methods are primarily applicable to tristereo data captured simultaneously and rely heavily on training… read more here.

Keywords: reconstruction; multiview; enhanced confidence; dsm fusion ... See more keywords