Articles with "vae" as a keyword



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An uncertainty-aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning.

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Published in 2022 at "Medical physics"

DOI: 10.1002/mp.15982

Abstract: PURPOSE Task automation is essential for efficient and consistent image segmentation in radiation oncology. We report on a deep learning architecture, comprised of a U-Net and a variational autoencoder (VAE) for automatic contouring of the… read more here.

Keywords: source; net vae; dataset; vae ... See more keywords
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Intraoperative visible air bubbling recorded as a sign of massive venous air embolism during prone position surgery for extensive ossification of spinal ligaments: a case report with a video clip.

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Published in 2019 at "World neurosurgery"

DOI: 10.1016/j.wneu.2019.07.166

Abstract: BACKGROUND Venous air embolism (VAE) is a rare but frequently fatal complication during surgery. Several published reports have shown visible bubbling of air at the surgical site as the first clinical indication of VAE-induced cardiovascular… read more here.

Keywords: surgery; vae; air; air bubbling ... See more keywords
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Urgent Repositioning After Venous Air Embolism During Intracranial Surgery in the Seated Position: A Case Series

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Published in 2018 at "Journal of Neurosurgical Anesthesiology"

DOI: 10.1097/ana.0000000000000534

Abstract: Background: Venous air embolism (VAE) is a well-described complication of neurosurgical procedures performed in the seated position. Although most often clinically insignificant, VAE may result in hemodynamic or neurological compromise resulting in urgent change to… read more here.

Keywords: extreme vae; air embolism; position; vae ... See more keywords
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Vehicles Trajectory Prediction Using Recurrent VAE Network

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3161661

Abstract: This paper presents an analysis of the implementation and performance of a deep learning model based on Recurrent layers and Variational Auto Encoder model (VAE) architecture for prediction of future local trajectory and maneuver. The… read more here.

Keywords: trajectory prediction; vehicles trajectory; vae; trajectory ... See more keywords
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iVAE-GAN: Identifiable VAE-GAN Models for Latent Representation Learning

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3172333

Abstract: Remarkable progress has been made within nonlinear Independent Component Analysis (ICA) and identifiable deep latent variable models. Formally, the latest nonlinear ICA theory enables us to recover the true latent variables up to a linear… read more here.

Keywords: ivae gan; vae; representation learning; gan ... See more keywords
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Learning Traces by Yourself: Blind Image Forgery Localization via Anomaly Detection With ViT-VAE

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Published in 2023 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2023.3245947

Abstract: Most of existing deep learning models for image forgery localization rely on a large number of high-quality labeled samples for training. The training procedures are performed off-line and without adaptation to the image under scrutiny.… read more here.

Keywords: image forgery; forgery localization; vae; image ... See more keywords
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Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism.

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Published in 2021 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2021.3084957

Abstract: Network representation learning or embedding aims to project the network into a low-dimensional space that can be devoted to different network tasks. Temporal networks are an important type of network whose topological structure changes over… read more here.

Keywords: attention mechanism; temporal network; vae; network embedding ... See more keywords
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Venous air embolism in CT coronary angiography.

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Published in 2021 at "Journal of medical imaging and radiation oncology"

DOI: 10.1111/1754-9485.13316

Abstract: INTRODUCTION Venous air embolization (VAE) from IV lines is a risk with IV contrast administration. The incidence of VAE ranges from 7% to 23%. While life-threatening VAE is rare, there is the potential risk of… read more here.

Keywords: incidence; risk; vae; sae ... See more keywords
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Recognition of prior learning in France: Where have the RPL‐ready applicants gone?

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Published in 2021 at "European Journal of Education"

DOI: 10.1111/ejed.12465

Abstract: This article analyses results of reforms and revisions of the system for recognition of prior learning outcomes in France (Validation des acquis de l'experience, VAE), especially from a quantitative perspective. The development of the recognition… read more here.

Keywords: system; recognition prior; vae; prior learning ... See more keywords
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Kombinierte Anwendung von Strahlentherapie und adjuvanter Therapie mit einem Mistelextrakt (Viscum album L.) zur Behandlung des oralen malignen Melanoms beim Hund: Eine retrospektive Studie

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Published in 2017 at "Complementary Medicine Research"

DOI: 10.1159/000485743

Abstract: Hintergrund: Orale maligne Melanome (OMM) des Hundes zeichnen sich durch schnelles Wachstum, lokale Invasion und hohe Metastasierungsraten aus. Extrakte auf Basis von Viscum album L. (VAE) werden zunehmend in der Krebstherapie sowohl in der Human-… read more here.

Keywords: von; die; behandlung; vae ... See more keywords
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Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic

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Published in 2022 at "PLoS Computational Biology"

DOI: 10.1371/journal.pcbi.1009888

Abstract: A variational autoencoder (VAE) is a machine learning algorithm, useful for generating a compressed and interpretable latent space. These representations have been generated from various biomedical data types and can be used to produce realistic-looking… read more here.

Keywords: vae; cell morphology; cell; latent space ... See more keywords