Suchergebnisse - "Conditional variational autoencoder (CVAE)"

Heartbeat detection and personal authentication using a 60 GHz Doppler sensor von Asano, Takuma, Izumi, Shintaro, Kawaguchi, Hiroshi

“… We proposed a method for authenticating and identifying heartbeat signals through supervised learning using a conditional variational autoencoder (CVAE). A 60 …”
Volltext

Individualizing Head-Related Transfer Functions for Binaural Acoustic Applications von Zandi, Navid H., El-Mohandes, Awny M., Zheng, Rong

“… Accurate estimations of HRTFs for human subjects are crucial in enabling binaural acoustic applications such as sound localization and 3D sound spatialization …”
Volltext

Brain fingerprinting and cognitive behavior predicting using functional connectome of high inter-subject variability von Lu, Jiayu, Yan, Tianyi, Yang, Lan, Zhang, Xi, Li, Jiaxin, Li, Dandan, Xiang, Jie, Wang, Bin

“… •High inter-subject variability for brain fingerprinting and cognitive behavior predicting …”
Volltext

Conditional VAE for personalized neurofeedback in cognitive training von Tibermacine, Imad Eddine, Russo, Samuele, Scarano, Gianmarco, Tedesco, Giancarlo, Rabehi, Abdelaziz, Alhussan, Amel Ali, Khafaga, Doaa Sami, Eid, Marwa M., El-kenawy, El-Sayed M., Napoli, Christian

“… In this work, we explore the use of a Conditional Variational Autoencoder (CVAE) that injects a binary health label …”
Volltext

A deep learning-based pipeline for developing multi-rib shape generative model with populational percentiles or anthropometrics as predictors von Huang, Yuan, Holcombe, Sven A., Wang, Stewart C., Tang, Jisi

“… Rib cross-sectional shapes (characterized by the outer contour and cortical bone thickness) affect the rib mechanical response under impact loading, thereby …”
Volltext

AI-Based Localized Latent Neural Representations of Acute and Chronic Pain in Rats von Yao, Dunyan, Lloyd, David A., Akay, Yasemin, Ohsawa, Masahiro, Akay, Metin

“… Chronic pain is a widespread phenomenon affecting over 21% of the United States population. Despite the significant impact of pain on a patient's quality of …”
Volltext

Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction von Sang, Yuling, Banerjee, Abhirup, Beetz, Marcel, Grau, Vicente

“… We propose a conditional Variational Autoencoder (cVAE) framework to generate realistic, subject-specific 12-lead ECGs …”
Volltext

Learning a Probabilistic Model for Diffeomorphic Registration von Krebs, Julian, Delingette, Herve, Mailhe, Boris, Ayache, Nicholas, Mansi, Tommaso

“… We propose to learn a low-dimensional probabilistic deformation model from data which can be used for the registration and the analysis of deformations. The …”
Volltext

Generation of 12-Lead Electrocardiogram with Subject-Specific, Image-Derived Characteristics Using a Conditional Variational Autoencoder von Sang, Yuling, Beetz, Marcel, Grau, Vicente

“… ). Among these, deep generative models have shown their ability in ECG generation. In this paper, we propose a conditional variational autoencoder (cVAE …”
Volltext

Classification of EEG Signal Using Deep Learning Architectures Based Motor-Imagery for an Upper-Limb Rehabilitation Exoskeleton von Titkanlou, Maryam Khoshkhooy, Pham, Duc Thien, Mouček, Roman

“… Three different methods, including noise injection (NI), conditional variational autoencoder (cVAE …”
Volltext

Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders von Ozdenizci, Ozan, Wang, Ye, Koike-Akino, Toshiaki, Erdogmus, Deniz

“… ). The proposed approach aims to learn subject-invariant representations by simultaneously training a conditional variational autoencoder (cVAE …”
Volltext

DyslexiEase: Enhancing Dyslexic Learning Through Deep Learning-Based Multimedia Content Generation von Krishnan, Gokul, Rao, Dhruthi, Sandur, Anshu, Jandhyala, Ananya, Agarwal, Pooja

“… Subject extraction is performed to identify key concepts, which are used by a diffusion model to generate reference images …”
Volltext

A Generative Neural Network Approach for 3D Multi-Criteria Design Generation and Optimization of an Engine Mount for an Unmanned Air Vehicle von Petroll, Christoph, Eilermann, Sebastian, Hoefer, Philipp, Niggemann, Oliver

“… One of the most promising developments in computer vision in recent years is the use of generative neural networks for functionality condition-based 3D design …”
Volltext

Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders von Ozdenizci, Ozan, Wang, Ye, Koike-Akino, Toshiaki, Erdogmus, Deniz

“… ). The proposed approach aims to learn subject-invariant representations by simultaneously training a conditional variational autoencoder (cVAE …”
Volltext

Learning a Probabilistic Model for Diffeomorphic Registration von Krebs, Julian, Delingette, Hervé, Mailhé, Boris, Ayache, Nicholas, Mansi, Tommaso

“… image. Our unsupervised method is based on variational inference. In particular, we use a conditional variational autoencoder (CVAE …”
Volltext

Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration von Krebs, Julian, Mansi, Tommaso, Mailhé, Boris, Ayache, Nicholas, Delingette, Hervé

“… We model registration in a probabilistic and generative fashion, by applying a conditional variational autoencoder (CVAE) network …”
Volltext