Homodyned K-Distribution Parameter Estimation in Quantitative Ultrasound: Autoencoder and Bayesian Neural Network Approaches
Fuente:
arXiv
Guardado en:
| Autores principales: | Tehrani, Ali K. Z., Cloutier, Guy, Tang, An, Rosado-Mendez, Ivan M., Rivaz, Hassan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Uncertainty Decomposition and Error Margin Detection of Homodyned-K Distribution in Quantitative Ultrasound
por: Ameri, Dorsa, et al.
Publicado: (2024)
por: Ameri, Dorsa, et al.
Publicado: (2024)
Constrained and Regularized Quantitative Ultrasound Parameter Estimation using ADMM
por: Tehrani, Ali K. Z., et al.
Publicado: (2025)
por: Tehrani, Ali K. Z., et al.
Publicado: (2025)
From Narrow to Wide: Autoencoding Transformers for Ultrasound Bandwidth Recovery
por: KhakzadGharamaleki, Sepideh, et al.
Publicado: (2025)
por: KhakzadGharamaleki, Sepideh, et al.
Publicado: (2025)
Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics
por: Tehrani, Ali K. Z., et al.
Publicado: (2020)
por: Tehrani, Ali K. Z., et al.
Publicado: (2020)
Mitigating Aberration-Induced Noise: A Deep Learning-Based Aberration-to-Aberration Approach
por: Sharifzadeh, Mostafa, et al.
Publicado: (2023)
por: Sharifzadeh, Mostafa, et al.
Publicado: (2023)
Near-Field Motion Parameter Estimation: A Variational Bayesian Approach
por: Meng, Chunwei, et al.
Publicado: (2025)
por: Meng, Chunwei, et al.
Publicado: (2025)
Wireless Propagation Parameter Estimation with Convolutional Neural Networks
por: Schieler, Steffen, et al.
Publicado: (2025)
por: Schieler, Steffen, et al.
Publicado: (2025)
Ultrasound Phase Aberrated Point Spread Function Estimation with Convolutional Neural Network: Simulation Study
por: Shen, Wei-Hsiang, et al.
Publicado: (2025)
por: Shen, Wei-Hsiang, et al.
Publicado: (2025)
SwinLSTM Autoencoder for Temporal-Spatial-Frequency Domain CSI Compression in Massive MIMO Systems
por: Saini, Aakash, et al.
Publicado: (2025)
por: Saini, Aakash, et al.
Publicado: (2025)
Homodyne vs. Heterodyne Architectures in Sub-THz Transceivers: A Phase Noise Perspective
por: Aydoğan, Didem, et al.
Publicado: (2026)
por: Aydoğan, Didem, et al.
Publicado: (2026)
Explainable Gated Bayesian Recurrent Neural Network for Non-Markov State Estimation
por: Yan, Shi, et al.
Publicado: (2023)
por: Yan, Shi, et al.
Publicado: (2023)
Sparse Bayesian Generative Modeling for Joint Parameter and Channel Estimation
por: Böck, Benedikt, et al.
Publicado: (2025)
por: Böck, Benedikt, et al.
Publicado: (2025)
Parameter Estimation of Mutual Information Maximized Channels
por: Tavakoli, Hassan, et al.
Publicado: (2026)
por: Tavakoli, Hassan, et al.
Publicado: (2026)
Autoencoder-Based Parameter Estimation for Superposed Multi-Component Damped Sinusoidal Signals
por: Iida, Momoka, et al.
Publicado: (2026)
por: Iida, Momoka, et al.
Publicado: (2026)
Efficient Off-Grid Bayesian Parameter Estimation for Kronecker-Structured Signals
por: He, Yanbin, et al.
Publicado: (2024)
por: He, Yanbin, et al.
Publicado: (2024)
Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors
por: Chege, Joseph K., et al.
Publicado: (2024)
por: Chege, Joseph K., et al.
Publicado: (2024)
Distributed Parameter Estimation with Gaussian Observation Noises in Time-varying Digraphs
por: Yan, Jiaqi, et al.
Publicado: (2023)
por: Yan, Jiaqi, et al.
Publicado: (2023)
Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities
por: Paritosh, Parth, et al.
Publicado: (2023)
por: Paritosh, Parth, et al.
Publicado: (2023)
A Peaceman-Rachford Splitting Approach with Deep Equilibrium Network for Channel Estimation
por: Yuan, Dingli, et al.
Publicado: (2024)
por: Yuan, Dingli, et al.
Publicado: (2024)
Beyond Diagonal RIS for ISAC Network: Statistical Analysis and Network Parameter Estimation
por: Nguyen, Thanh Luan, et al.
Publicado: (2025)
por: Nguyen, Thanh Luan, et al.
Publicado: (2025)
TEANet: A Transpose-Enhanced Autoencoder Network for Wearable Stress Monitoring
por: Ali, Md Santo, et al.
Publicado: (2025)
por: Ali, Md Santo, et al.
Publicado: (2025)
Neural Network State-Space Estimators
por: Sun, Minxing, et al.
Publicado: (2025)
por: Sun, Minxing, et al.
Publicado: (2025)
A Block-Sparse Bayesian Learning Algorithm with Dictionary Parameter Estimation for Multi-Sensor Data Fusion
por: Möderl, Jakob, et al.
Publicado: (2025)
por: Möderl, Jakob, et al.
Publicado: (2025)
Weighted Bayesian Cram$\acute{\text{e}}$r-Rao Bound for Mixed-Resolution Parameter Estimation
por: Mazor, Yaniv, et al.
Publicado: (2025)
por: Mazor, Yaniv, et al.
Publicado: (2025)
Addressing Pilot Contamination in Channel Estimation with Variational Autoencoders
por: Kasibovic, Amar, et al.
Publicado: (2024)
por: Kasibovic, Amar, et al.
Publicado: (2024)
A Deep Multi-Task Learning Approach to Impulsive Noise Parameter Estimation
por: Mohammad, Abdullahi, et al.
Publicado: (2025)
por: Mohammad, Abdullahi, et al.
Publicado: (2025)
Physics Informed Neural Network Estimated Circuit Parameter Adaptive Modulation of DAB
por: Dey, Saikat, et al.
Publicado: (2025)
por: Dey, Saikat, et al.
Publicado: (2025)
Efffcient Sensing Parameter Estimation with Direct Clutter Mitigation in Perceptive Mobile Networks
por: Li, Hang, et al.
Publicado: (2024)
por: Li, Hang, et al.
Publicado: (2024)
Heart rate measurement using the built-in triaxial accelerometer from a commercial digital writing device
por: Payette, Julie, et al.
Publicado: (2023)
por: Payette, Julie, et al.
Publicado: (2023)
Spectrum and Physics-Informed Neural Networks (SaPINNs) for Input-State-Parameter Estimation in Dynamic Systems Subjected to Natural Hazards-Induced Excitation
por: Kosikova, Antonina, et al.
Publicado: (2025)
por: Kosikova, Antonina, et al.
Publicado: (2025)
Untrained Neural Network based Bayesian Detector for OTFS Modulation Systems
por: Chang, Hao, et al.
Publicado: (2023)
por: Chang, Hao, et al.
Publicado: (2023)
Bayesian Convolutional Neural Networks for Prior Learning in Graph Signal Recovery
por: Torkamani, Razieh, et al.
Publicado: (2025)
por: Torkamani, Razieh, et al.
Publicado: (2025)
Parameter Estimation on Homogeneous Spaces
por: Khan, Shiraz, et al.
Publicado: (2024)
por: Khan, Shiraz, et al.
Publicado: (2024)
Source Enumeration using the Distribution of Angles: A Robust and Parameter-Free Approach
por: Muthukrishnan, Gokularam, et al.
Publicado: (2024)
por: Muthukrishnan, Gokularam, et al.
Publicado: (2024)
Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach
por: Sattari, Mehdi, et al.
Publicado: (2024)
por: Sattari, Mehdi, et al.
Publicado: (2024)
Neural Network Architectures for Location Estimation in the Internet of Things
por: Ullah, Ihsan, et al.
Publicado: (2020)
por: Ullah, Ihsan, et al.
Publicado: (2020)
A Quantitative Evaluation of Approximate Softmax Functions for Deep Neural Networks
por: Leiva-Valverde, Anthony, et al.
Publicado: (2025)
por: Leiva-Valverde, Anthony, et al.
Publicado: (2025)
Interactive Bayesian Generative Models for Abnormality Detection in Vehicular Networks
por: William, Nobel J., et al.
Publicado: (2024)
por: William, Nobel J., et al.
Publicado: (2024)
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms
por: Jamal, Saad Ahmed
Publicado: (2023)
por: Jamal, Saad Ahmed
Publicado: (2023)
Developing an Open-Source Framework for Quantitative Simulation of Blood Flow and Tissue Motion for Ultrafast Doppler Ultrasound
por: Fu, Qiang, et al.
Publicado: (2025)
por: Fu, Qiang, et al.
Publicado: (2025)
Ejemplares similares
-
Uncertainty Decomposition and Error Margin Detection of Homodyned-K Distribution in Quantitative Ultrasound
por: Ameri, Dorsa, et al.
Publicado: (2024) -
Constrained and Regularized Quantitative Ultrasound Parameter Estimation using ADMM
por: Tehrani, Ali K. Z., et al.
Publicado: (2025) -
From Narrow to Wide: Autoencoding Transformers for Ultrasound Bandwidth Recovery
por: KhakzadGharamaleki, Sepideh, et al.
Publicado: (2025) -
Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics
por: Tehrani, Ali K. Z., et al.
Publicado: (2020) -
Mitigating Aberration-Induced Noise: A Deep Learning-Based Aberration-to-Aberration Approach
por: Sharifzadeh, Mostafa, et al.
Publicado: (2023)