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deroes's Projects

f_number icon f_number

Frequency-dependent F-number for coherent plane-wave compounding (CPWC)

fusstream icon fusstream

Repository containing code and misc files for neuroscience-oriented functional ultrasound imaging.

fwi icon fwi

acoustic FWI for isotropic media in frequency domain

fwi-using-temporal-fourth-fd-modelling icon fwi-using-temporal-fourth-fd-modelling

These codes are used to complete elastic full waveform inversion using temporal fourth-order FD modelling. In order to accelete the algorith, GPU-based versions are privided here. What's more, the GPU shared memory is used in block level and the efficiency improvement is about 10%~15% on GTX 750ti, where efficiency improvement is dependent on the length of FD orders.

fwisimat icon fwisimat

Full-waveform inversion in acoustic isotropic media using adjoint state method

global-sos icon global-sos

Sample code associated with the paper "Real-Time Speed-of-Sound Estimation In Vivo via Steered Plane Wave Ultrasound"

hdr-us icon hdr-us

High Dynamic Range Ultrasound Imaging

hdr_toolbox icon hdr_toolbox

HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave

hellogithub icon hellogithub

:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

histogram_matching icon histogram_matching

Histogram matching for comparison of images with varying dynamic range and pixel distributions

hub icon hub

Submission to https://pytorch.org/hub/

impact icon impact

Iterative Model-Based Phase Aberration Correction and [Sound Speed] Tomography (IMPACT)

ircnn icon ircnn

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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

In this code, method of joint deconvolution of fundamental and harmonic ultrasound images based on the ADMM framework. The method is applied on simulation images (non blind and blind approach) and real data (blind deconvolution). For more details please see (M. Hourani, A. Basarab, D. Kouamé and J. -Y. Tourneret, "Ultrasound Image Deconvolution Using Fundamental and Harmonic Images," in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 68, no. 4, pp. 993-1006, April 2021, doi: 10.1109/TUFFC.2020.3028166.)

jwave icon jwave

A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs

latextable icon latextable

This MATLAB function converts matrices, cells or tables from MATLAB to LaTeX table code.

leetcode-go icon leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

machinelearning_ng icon machinelearning_ng

吴恩达机器学习coursera课程,学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

mainlobesidelobeseparation icon mainlobesidelobeseparation

Separation of Mainlobes and Sidelobes in the Ultrasound Image Based on the Spatial Covariance (MIST) and Aperture-Domain Spectrum of Received Signals

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