Search Results - "conditional variational autoencoder"

Sensing anomaly of photovoltaic systems with sequential conditional variational autoencoder by Li, Ding, Zhang, Yufei, Yang, Zheng, Jin, Yaohui, Xu, Yanyan

“… This study proposes the Sequential Conditional Variational Autoencoder (SCVAE), which can cope with the sequential impacts of the environment on PV…”
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Generation of 12-Lead Electrocardiogram with Subject-Specific, Image-Derived Characteristics Using a Conditional Variational Autoencoder by 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…”
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Learning a Probabilistic Model for Diffeomorphic Registration by Krebs, Julian, Delingette, Herve, Mailhe, Boris, Ayache, Nicholas, Mansi, Tommaso

“… image. Our unsupervised method is based on the variational inference. In particular, we use a conditional variational autoencoder network and constrain transformations to be symmetric…”
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Brain fingerprinting and cognitive behavior predicting using functional connectome of high inter-subject variability by 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…”
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Spherical Image Generation From a Few Normal-Field-of-View Images by Considering Scene Symmetry by Hara, Takayuki, Mukuta, Yusuke, Harada, Tatsuya

“…Spherical images taken in all directions (360 degrees by 180 degrees) can represent an entire space including the subject, providing free direction viewing and an immersive experience to viewers…”
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A deep learning-based pipeline for developing multi-rib shape generative model with populational percentiles or anthropometrics as predictors by 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…”
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Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix by Krebs, Julian, Delingette, Herve, Ayache, Nicholas, Mansi, Tommaso

“… allowing for faster data acquisition and data augmentation. More precisely, the motion matrix allows to transport the recovered motion from one subject to another…”
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Heartbeat detection and personal authentication using a 60 GHz Doppler sensor by 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…”
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Individualizing Head-Related Transfer Functions for Binaural Acoustic Applications by 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…”
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3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders by Biffi, Carlo, Cerrolaza, Juan J., Tarroni, Giacomo, de Marvao, Antonio, Cook, Stuart A., O'Regan, Declan P., Rueckert, Daniel

“… To address this, we propose a conditional variational autoencoder architecture able to learn a generative model of 3D high-resolution left ventricular (LV…”
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Attacks on state-of-the-art face recognition using attentional adversarial attack generative network by Yang, Lu, Song, Qing, Wu, Yingqi

“… Therefore, it is very important to study how face recognition networks are subject to attacks…”
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Conditional VAE for personalized neurofeedback in cognitive training by 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…”
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AI-Based Localized Latent Neural Representations of Acute and Chronic Pain in Rats by 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…”
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Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction by Sang, Yuling, Banerjee, Abhirup, Beetz, Marcel, Grau, Vicente

“… We propose a conditional Variational Autoencoder (cVAE) framework to generate realistic, subject-specific 12-lead ECGs…”
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3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders by Biffi, Carlo, Cerrolaza, Juan J, Tarroni, Giacomo, de Marvao, Antonio, Cook, Stuart A, O'Regan, Declan P, Rueckert, Daniel

“… To address this, we propose a conditional variational autoencoder architecture able to learn a generative model of 3D high-resolution left ventricular (LV…”
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Classification of EEG Signal Using Deep Learning Architectures Based Motor-Imagery for an Upper-Limb Rehabilitation Exoskeleton by Titkanlou, Maryam Khoshkhooy, Pham, Duc Thien, Mouček, Roman

“… Three different methods, including noise injection (NI), conditional variational autoencoder (cVAE…”
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Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders by 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…”
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DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Harmonization of Neuroimaging Data by Hu, Fengling, Lucas, Alfredo, Chen, Andrew A, Coleman, Kyle, Horng, Hannah, Ng, Raymond W S, Tustison, Nicholas J, Davis, Kathryn A, Shou, Haochang, Li, Mingyao, Shinohara, Russell T

“…Neuroimaging data from multiple batches (i.e. acquisition sites, scanner manufacturer, datasets, etc.) are increasingly necessary to gain new insights into the…”
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DEGAS: Detailed Expressions on Full-Body Gaussian Avatars by Shao, Zhijing, Wang, Duotun, Tian, Qing-Yao, Yang, Yao-Dong, Meng, Hengyu, Cai, Zeyu, Dong, Bo, Zhang, Yu, Zhang, Kang, Wang, Zeyu

“… Trained on multiview videos of a given subject, our method learns a conditional variational autoencoder that takes both the body motion and facial expression as driving signals to generate Gaussian…”
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Toward Robust Stress Detection Using Real-World Data and Multimodal Learning by Hosseini, Seyedmajid

“…Predicting subjective human affect like stress from sensors poses significant machine learning challenges, especially when aiming for robust generalization in…”
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