Výsledky vyhľadávania - "convolutional autoencoders"

Compression of EMG Signals Using Deep Convolutional Autoencoders Autor Dinashi, Kimia, Ameri, Ali, Akhaee, Mohammad Ali, Englehart, Kevin, Scheme, Erik

“… As a solution, this work proposes a new method for EMG data compression using deep convolutional autoencoders (CAE…”
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Population-based 3D respiratory motion modelling from convolutional autoencoders for 2D ultrasound-guided radiotherapy Autor Mezheritsky, Tal, Romaguera, Liset Vázquez, Le, William, Kadoury, Samuel

“…•Motion compensation model for free-breathing ultrasound-guided radiotherapy treatments.•A novel real-time motion modelling framework composed of a rigid…”
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The model is the message: Lightweight convolutional autoencoders applied to noisy imaging data for planetary science and astrobiology Autor Scharf, Caleb

“…The application of convolutional autoencoder deep learning to imaging data for planetary science and astrobiological use is briefly reviewed and explored with a focus on the need to understand…”
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Denoising UWB Radar Data for Human Activity Recognition Using Convolutional Autoencoders Autor Lafontaine, Virgile, Bouchard, Kevin, Maitre, Julien, Gaboury, Sebastien

“… The main contribution of this paper is UWB radar data cleaning on a practical dataset. The UWB radar data has been filtered using an unsupervised deep convolutional autoencoder (CNN-AE…”
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Learning Biometric Representations with Mutually Independent Features Using Convolutional Autoencoders Autor Musto, Riccardo, Kuzu, Ridvan Salih, Maiorana, Emanuele, Hine, Gabriel Emile, Campisi, Patrizio

“… that are notably different when produced by traits of different subjects, while maintaining an appropriate consistency for a given user…”
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ECG Arrhythmia Classification based on Convolutional Autoencoders and Transfer Learning Autor Obaidi, R M, Sattar, R A, Abd, M, Almani, I Amjed, Alghazali, T, Talib, S Ghazi, Ali, M Hussein, Mohammed, M Q, Mohammad, T Abid, Abdul-Sahib, M R

“… It is conducted by attaching a specific type of sensor to the subject's skin to detect the signals generated by the heartbeats…”
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Anomaly Detection With Convolutional Autoencoders for Fingerprint Presentation Attack Detection Autor Kolberg, Jascha, Grimmer, Marcel, Gomez-Barrero, Marta, Busch, Christoph

“… Therefore, presentation attack detection (PAD) methods are used to determine whether samples stem from a bona fide subject or from a presentation attack instrument (PAI…”
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CAE-ResVGG FusionNet: A Feature Extraction Framework Integrating Convolutional Autoencoders and Transfer Learning for Immature White Blood Cells in Acute Myeloid Leukemia Autor Elhassan, Tusneem, Osman, Ahmed Hamza, Mohd Rahim, Mohd Shafry, Mohd Hashim, Siti Zaiton, Ali, Abdulalem, Elhassan, Esmaeil, Elkamali, Yusra, Aljurf, Mahmoud

“… The proposed framework leverages an integrated approach, by combining a convolutional autoencoder (CAE…”
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Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images Autor Mirjalili, Vahid, Raschka, Sebastian, Namboodiri, Anoop, Ross, Arun

“…In this paper, we design and evaluate a convolutional autoencoder that perturbs an input face image to impart privacy to a subject…”
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Unsupervised Cognitive Impairment Detection Using Convolutional Autoencoders and Isolation Forest Autor Salekshahrezaee, Zahra, Khoshgoftaar, Taghi M.

“… In this work, we propose CAE-IF, a fully unsupervised hybrid approach that combines Convolutional Autoencoders (CAE…”
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An Analysis of Compressive Convolutional Autoencoders for Image Archiving in Medical Informatics Autor Warren, Charles I

“… With respect to medical informatics, these include a multitude of varying subjects, standards, and modalities which are communicated to and from imaging equipment, clinicians, and medical archives…”
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Deep learning pipeline for quality filtering of MRSI spectra Autor Rakić, Mladen, Turco, Federico, Weng, Guodong, Maes, Frederik, Sima, Diana M., Slotboom, Johannes

“… number of spectra from a subject's brain, there is a need for an automated preprocessing pipeline that filters out bad…”
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Adaptive Mobile EEG Noise Cancellation Using 2D Convolutional Autoencoders for BCI Authentication Autor Lewis, Tyree

“… This thesis aims to adapt tasks that are performed indoors to an external environment by removing both noise and artefacts in EEG, using a 2D Convolutional Autoencoder (CAE…”
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Autoencoder-based image processing framework for object appearance modifications Autor Ślot, Krzysztof, Kapusta, Paweł, Kucharski, Jacek

“… We adopt a basic convolutional autoencoder as a framework for the proposed attribute modification algorithm, which is composed of the following three steps…”
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Anomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection Autor Kolberg, Jascha, Grimmer, Marcel, Gomez-Barrero, Marta, Busch, Christoph

“… Therefore, presentation attack detection (PAD) methods are used to determine whether samples stem from a bona fide subject or from a presentation attack instrument (PAI…”
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Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images Autor Mirjalili, Vahid, Raschka, Sebastian, Namboodiri, Anoop, Ross, Arun

“…In this paper, we design and evaluate a convolutional autoencoder that perturbs an input face image to impart privacy to a subject…”
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Deep Learning Based Single-Shot Focused Tissue Harmonic Imaging: an in-Vivo Study Autor Fouad, Mariam, Schmitz, Georg

“…Pulse Inversion and Amplitude Modulation techniques are commonly used to extract the harmonic components in tissue harmonic imaging (THI). However, they are…”
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Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a “Diagnostic Label-Free” Approach: Application to Schizophrenia Datasets Autor Yamaguchi, Hiroyuki, Hashimoto, Yuki, Sugihara, Genichi, Miyata, Jun, Murai, Toshiya, Takahashi, Hidehiko, Honda, Manabu, Hishimoto, Akitoyo, Yamashita, Yuichi

“… The purpose of this study was to investigate the efficacy of a 3D convolutional autoencoder (3D-CAE…”
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CAE-MAS: Convolutional Autoencoder Interference Cancellation for Multiperson Activity Sensing With FMCW Microwave Radar Autor Raeis, Hossein, Kazemi, Mohammad, Shirmohammadi, Shervin

“… Frequency-modulated continuous-wave (FMCW) radars can be used for target tracking, but their collected data are usually accompanied by a significant amount of interference, especially in indoor environments hosting multiple human subjects…”
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Graph-informed convolutional autoencoder to classify brain responses during sleep Autor Zakeri, Sahar, Makouei, Somayeh, Danishvar, Sebelan

“… To this aim, we pre-processed EEG recordings from 33 healthy subjects. Then, functional connectivity features and recurrence quantification analysis were extracted from sub-bands…”
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