Search Results - "Variational Autoencoder"

The shape variational autoencoder: A deep generative model of part‐segmented 3D objects by Nash, C., Williams, C. K. I.

“…We introduce a generative model of part‐segmented 3D objects: the shape variational auto‐encoder (ShapeVAE). The ShapeVAE describes a joint distribution over…”
Get full text

Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex by Han, Kuan, Wen, Haiguang, Shi, Junxing, Lu, Kun-Han, Zhang, Yizhen, Fu, Di, Liu, Zhongming

“…) from three human subjects passively watching natural videos. Compared to CNN, VAE could predict the video-evoked cortical responses with comparable accuracy in early visual areas, but relatively lower accuracy in higher-order visual areas…”
Get full text

Representation learning of resting state fMRI with variational autoencoder by Kim, Jung-Hoon, Zhang, Yizhen, Han, Kuan, Wen, Zheyu, Choi, Minkyu, Liu, Zhongming

“…•Variational auto-encoder disentangles generative factors of resting state fMRI activity.•Variational auto-encoder trained with unsupervised learning extracts…”
Get full text

MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer’s disease progression modelling by Martí-Juan, Gerard, Lorenzi, Marco, Piella, Gemma

“…•A multi-channel model based on recurrent variational autoencoders was proposed to capture spatial and temporal evolution of AD using multimodal data…”
Get full text

AD-VAE: Adversarial Disentangling Variational Autoencoder by Silva, Adson, Farias, Ricardo

“… To address these issues, we propose a novel framework called AD-VAE, specifically for SSPP FR, using a combination of variational autoencoder…”
Get full text

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…”
Get full text

An extended variational autoencoder for cross-subject electromyograph gesture recognition by Zhang, Zhen, Ming, Yuewei, Shen, Quming, Wang, Yanyu, Zhang, Yuhui

“… However, cross-subject tasks remain challenging due to inherent individual differences. To address this, a novel approach for hand gesture recognition is proposed that leverages a subject-generalized variational autoencoder…”
Get full text

Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition by Wang, Yixin, Qiu, Shuang, Li, Dan, Du, Changde, Lu, Bao-Liang, He, Huiguang

“… To solve this problem, we propose a multi-modal domain adaptive variational autoencoder (MMDA-VAE) method, which learns shared cross-domain latent representations of the multi-modal data…”
Get full text

Attenuation Tomography Using Low-Frequency Ultrasound With Variational Autoencoder for Thorax Imaging: Experimental Study by Zhang, Tong, Shi, Haokang, Lin, Zhichao, Cao, Yeyu, Guo, Rui, Zhang, Haolin, Li, Maokun, Yang, Fan, Xu, Shenheng

“…In this paper, we introduce a novel inversion methodology employing the variational autoencoder (VAE…”
Get full text

Deep Variational Autoencoder for Mapping Functional Brain Networks by Qiang, Ning, Dong, Qinglin, Ge, Fangfei, Liang, Hongtao, Ge, Bao, Zhang, Shu, Sun, Yifei, Gao, Jie, Liu, Tianming

“… In this work, we proposed a novel generative model: deep variational autoencoder (DVAE) to tackle the challenge of insufficient data and incomplete supervision…”
Get full text

Cross-Modal Information Recovery and Enhancement Using Multiple-Input-Multiple-Output Variational Autoencoder by Liang, Jessica E.

“…) variational autoencoder (VAE) and subsequently apply it to cross-modal information recovery and enhancement…”
Get full text

An LSTM-based adversarial variational autoencoder framework for self-supervised neural decoding of behavioral choices by Salsabilian, Shiva, Lee, Christian, Margolis, David, Najafizadeh, Laleh

“… To address subject variability in decoding neural activity, adversarial learning in combination with a long short-term memory-based adversarial variational autoencoder…”
Get full text

Variational autoencoder-based estimation of chronological age and changes in morphological features of teeth by Joo, Subin, Jung, Won, Oh, Seung Eel

“…This study led to the development of a variational autoencoder (VAE) for estimating the chronological age of subjects using feature values extracted from their teeth…”
Get full text

Disentangled representational learning for anomaly detection in single-lead electrocardiogram signals using variational autoencoder by Kapsecker, Maximilian, Möller, Matthias C., Jonas, Stephan M.

“… A beta total correlation variational autoencoder was optimized on four of these datasets for 68 systematic parameterization variants…”
Get full text

StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder by Chatterjee, Soumick, Sciarra, Alessandro, Dünnwald, Max, Tummala, Pavan, Agrawal, Shubham Kumar, Jauhari, Aishwarya, Kalra, Aman, Oeltze-Jafra, Steffen, Speck, Oliver, Nürnberger, Andreas

“…Expert interpretation of anatomical images of the human brain is the central part of neuroradiology. Several machine learning-based techniques have been…”
Get full text

Just-in-time framework for robust soft sensing based on robust variational autoencoder by Guo, Fan, Liu, Kun, Huang, Biao

“… In this paper, under the just-in-time learning (JITL) framework, a robust soft sensor modeling approach is developed based on robust Variational Autoencoder (VAE…”
Get full text

Disorder-specific neurodynamic features in schizophrenia inferred by neurodynamic embedded contrastive variational autoencoder model by Ding, Chaoyue, Sun, Yuqing, Li, Kunchi, Xie, Sangma, Yan, Hao, Li, Peng, Yan, Jun, Chen, Jun, Wang, Huiling, Wang, Huaning, Chen, Yunchun, Yang, Yongfeng, Lv, Luxian, Zhang, Hongxing, Lu, Lin, Zhang, Dai, Chen, Yaojing, Zhang, Zhanjun, Jiang, Tianzi, Liu, Bing

“… mechanisms of schizophrenia (SCZ). In this study, we integrated a neurodynamic model with the classical Contrastive Variational Autoencoder (CVAE…”
Get full text

Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals by Criscuolo, Sabatina, Apicella, Andrea, Prevete, Roberto, Longo, Luca

“… Artificial intelligence, particularly Variational Autoencoders (VAE), has shown promise in EEG artefact removal…”
Get full text

Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization by Habijan, Marija, Galić, Irena, Leventić, Hrvoje, Romić, Krešimir

“…An accurate whole heart segmentation (WHS) on medical images, including computed tomography (CT) and magnetic resonance (MR) images, plays a crucial role in…”
Get full text

Predicting Aging of Brain Metabolic Topography Using Variational Autoencoder by Choi, Hongyoon, Kang, Hyejin, Lee, Dong Soo

“… A cross-sectional PET dataset of cognitively normal subjects with different age was used to develop a generative model…”
Get full text