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deroes's Projects

261461 icon 261461

Striatal FSI and SPN oscillation model (Chartove et al. 2020)

adaptive-dbf icon adaptive-dbf

Repository for Matlab simulations of adaptive digital beamforming project

adseismic.jl icon adseismic.jl

A General Approach to Seismic Inversion Problems using Automatic Differentiation

augan icon augan

Plane-Wave Image Reconstruction via Generative Adversarial Network and Attention Mechanism

awesome-python3-webapp icon awesome-python3-webapp

小白的Python入门教程实战篇:网站+iOS App源码→ http://t.cn/R2PDyWN 赞助→ http://t.cn/R5bhVpf

bd-rpca icon bd-rpca

Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging

beamformingnoma icon beamformingnoma

Simulation code for "Fast adaptive minorization-maximization procedure for beamforming design of downlink NOMA systems," by O. Lyons, M. F. Hanif, M. Juntti, L.-N. Tran, IEEE Trans. Veh. Technol., vol. 69, no. 7, pp. 8023-8027, Jul. 2020.

block-wise-joint-deconvolution-of-fundamental-and-harmonic-ultrasound-images icon block-wise-joint-deconvolution-of-fundamental-and-harmonic-ultrasound-images

In this code, we apply a block-wise joint deconvolution of fundamental and harmonic ultrasound images. The block-wise approach aims to consider the spatial variability of the PSF all along the axial direction. For more details see : Hourani, Mohamad, et al. "Block-Wise Ultrasound Image Deconvolution from Fundamental and Harmonic Images." 2020 IEEE International Ultrasonics Symposium (IUS). IEEE, 2020.

cnn icon cnn

This is a matlab-code implementation of convolutional neural network

cnnusbf icon cnnusbf

An implementation of the network in the paper "Towards Fast Region Adaptive Ultrasound Beamformer For Plane Wave Imaging Using Convolutional Neural Networks"

concavearray icon concavearray

Matlab scripts to be used with Field-II to model the properties of a concave ultrasound array.

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