An uncertainty-aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning.
Sign Up to like & getrecommendations! 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
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.
Sign Up to like & getrecommendations! 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
Early damage detection in bridges using a variational autoencoder-based hybrid unsupervised learning framework.
Sign Up to like & getrecommendations! Published in 2025 at "Scientific reports"
DOI: 10.1038/s41598-025-31115-w
Abstract: Long-term structural health monitoring (SHM) is essential for ensuring the safety and serviceability of bridges, yet systems face persistent challenges such as missing data, environmental and operational variability (EOV), limited labeled data, and low damage… read more here.
Keywords: damage detection; damage; vae; hybrid unsupervised ... See more keywords
A novel VAE assistant prior network for health indicator construction under incomplete full life degradation data
Sign Up to like & getrecommendations! Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ae1857
Abstract: The health indicator (HI) reflects the current operational status of the equipment and affects the accuracy and reliability of the remaining useful life (RUL) prediction model. However, the majority of existing methods for constructing HI… read more here.
Keywords: health indicator; degradation; construction; vae ... See more keywords
Urgent Repositioning After Venous Air Embolism During Intracranial Surgery in the Seated Position: A Case Series
Sign Up to like & getrecommendations! 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
Vehicles Trajectory Prediction Using Recurrent VAE Network
Sign Up to like & getrecommendations! 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
iVAE-GAN: Identifiable VAE-GAN Models for Latent Representation Learning
Sign Up to like & getrecommendations! 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
Learning Traces by Yourself: Blind Image Forgery Localization via Anomaly Detection With ViT-VAE
Sign Up to like & getrecommendations! 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
Analysis of Local Layout Effects in Field-Effect Transistors Using Neural Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Electron Devices"
DOI: 10.1109/ted.2025.3582550
Abstract: We describe a method for the creation of a compact model for local layout effects (LLEs) using pixelated images of the layers of physical layouts as input features. We incorporate these together with electrical measurements… read more here.
Keywords: vae; model; network; layout effects ... See more keywords
Self-Supervised Variational Autoencoder for Unsupervised Object Counting from Very-High-Resolution Satellite Imagery: Applications in Dwelling Extraction in FDP Settlement Areas
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3345179
Abstract: In supervised learning, deep learning models demand a large corpus of annotated data for object detection and classification tasks. This constrains their utility in humanitarian emergency response. To overcome this problem, we have proposed an… read more here.
Keywords: settlement areas; counting high; vae; high resolution ... See more keywords
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism.
Sign Up to like & getrecommendations! 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