lusi-bach

lusi-bach's Stars

• chuckyee/cardiac-segmentation

  Right Ventricle Cardiac MRI Segmentation

  Language:Jupyter Notebook2782417116

• mribri999/MRSignalsSeqs

  Stanford University Rad229 Class Code: MRI Signals and Sequences

  Language:Jupyter Notebook13614462

• yeatmanlab/AFQ

  Automated Fiber Quantification

  Language:MATLAB76192852

• yeatmanlab/pyAFQ

  Please visit our new location: https://github.com/tractometry/pyAFQ

  Language:Python591249033

• NVlabs/SNN

  Matlab code implementation the modified Non Local Means and Bilateral filters, as described in I. Frosio, J. Kautz, Statistical Nearest Neighbors for Image Denoising, IEEE Trans. Image Processing, 2018. The repository also includes the Matlab code to replicate the results of the toy problem described in the paper.

  Language:MATLAB4212210

• Neurophysics-CFIN/MP-PCA-Denoising

  Matlab implementation of Marchenko Pastur denoising (Veraart et al, NeuroImage 142 (2016) 394–406)

  Language:MATLAB304110

• GKalliatakis/Wavelet-decomposition-and-Filter-bank

  The wavelet transform and its applications in image denoising

  Language:MATLAB20206

• syanga/ksvd-sparse-dictionary

  Learn atoms of a sparse dictionary using the iterative K-SVD algorithm, written in Python.

  Language:Python20122

• oliverchampion/PCA_denoising

  The PCA denoising matlab algorithm used in the publication "Principal component analysis for fast and model-free denoising of multi b-value diffusion-weighted MR images" by Oliver J Gurney-Champion et al. in physics in medicine and biology in 2019.

  Language:MATLAB15204

• kamruleee51/MRI-Pre-processing

  Almost in every image processing or analysis work, image pre-preprocessing is crucial step. In medical image analysis, pre-processing is a very important step because the further success or performance of the algorithm mostly dependent on pre-processed image. In this lab, we are working with 3D Brain MRI data. In case of working with brain MRI removing the noise and bias field (which is due to inhomogeneity of the magnetic field) is very important part of preprocessing of brain MRI. To do so, we widely used algorithm Anisotropic diffusion, isotropic diffusion which can diffuse in any direction, and Multiplicative intrinsic component optimization (MICO) have been used for noise removal and bias field correction respectfully. Both quantitative and qualitative performance of the algorithms also have been analyzed.

  Language:MATLAB14103

• dmascali/fmri_denoising

  Collection of Matlab functions for denoising fMRI data

  Language:MATLAB13001

• smousavi05/General-Cross-Validation-denoising-Forward

  This repository contains MATLAB scripts and sample data for applying denoising method presented in: "Automatic noise-removal/signal-removal based on general cross-validation thresholding in synchrosqueezed domain and its application on earthquake data"

  Language:MATLAB13104

• ning22/Motion-Compensated-Dynamic-MRI-Reconstruction-with-Local-Affine-Optical-Flow-Estimation

  Language:MATLAB11311

• VeroHU/supervised_blur_kernel_estimation

  If you have the original image and the blurred image, you can use this code to estimate the blur kernel.

  Language:Matlab11133

• pariasm/nlbayes.m

  Matlab version of the NL-Bayes image denoising algorithm

  Language:Matlab8204

• Daiguomeng/Finger_vein_extract

  手指静脉图像的提取与快速配准

  Language:MATLAB7011

• samuelstjean/autodmri

  Automated characterization of noise distributions in diffusion MRI data

  Language:Python7442

• ZhaomingKong/medical_image_denoising

  Demo Matlab software package for 3D MRI image denoising

  7102

• buptzhang0414/Multi-scaleSR_For_MRI_Blur

  使用一种更深更宽的多尺度神经网络来进行核磁共振图像的去除伪影操作

  Language:Python4001

• opennog/ODGD

  Diffusion-Weighted MRI often suffers from signal attenuation due to long TE, sensitivity to physiological motion, and dephasing due to concomitant gradients (CGs). These challenges complicate image interpretation and may introduce bias in quantitative diffusion measurements. Motion moment-nulled diffusion-weighting gradients have been proposed to compensate motion, however, they frequently result in high TE and suffer from CG effects. In this work [1], we present a novel Optimed Diffusion-weighting Gradient waveform Design (ODGD) method for diffusion-weighting gradient waveform design for any diffusion-weighting direction that seeks to overcome the limitations of previous methods. The proposed ODGD method consists of: 1) a constrained optimization formulation that minimizes the TE for a given b-value subject to both, moment-nulling and/or CG-nulling constraints, and 2) a quadratic optimization algorithm that directly solves the formulation without introducing approximations.

  Language:MATLAB4002

• AlgnersYJW/NGMeet

  Matlab Code for: "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. Arvix. Dec 2018"

  Language:MATLAB3302

• Bartolomejka/DCE-MRI_Regularization_MRM

  Code to the paper: M. Bartoš, P. Rajmic, M. Šorel, M. Mangová, O. Keunen and R. Jiřík. Spatially regularized estimation of the tissue homogeneity model parameters in DCE-MRI using proximal minimization. Magnetic Resonance in Medicine. 2019; 82: 2257-2272. https://doi.org/10.1002/mrm.27874. Pre-print available at http://www.utko.feec.vutbr.cz/~rajmic/papers/Bartos_etal_RegularizedDCEMRI_web.pdf.

  Language:MATLAB3103

• jianzhangcs/AST-NLS

  Matlab Code for Image Denoising via Bandwise Adaptive Modeling and Regularization Exploiting Nonlocal Similarity

  310

• ZhouLanNCSU/Potts_DTI

  Codes for "A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging" Copyright (C) 2018 Zhou Lan (zlan@ncsu.edu) - All Rights Reserved

  Language:R3201

• scitran-apps/dti-error

  Calculate the RMSE between a tensor fit from dtiInit and the diffusion weighted imaging data

  Language:MATLAB2430

• sovanlal/Image-denoising-code

  This is MATLAB script for image denoising using total-variation and Nesterov's 1st order method

  Language:MATLAB2000

• GeminiDRSoftware/GHOSTDR

  Development repository for the GHOST data reduction software.

  Language:Python11504

• gsinghal1999/MRI-Denoising-Using-SCSA

  I worked on the Semi Classical Signal Analysis in the summers of 2019 at King Abdullah University of Science and Technology (KAUST). I improved the existing MRI denoising algorithm using SCSA significantly.

  Language:MATLAB1100

• jie108/DiST

  Codes and example scripts for "Wong, R.K.W., T.C.M. Lee, D. Paul, and J. Peng. Fiber direction estimation, smoothing and tracking in diffusion MRI (2016). AOAS, 10(3): 1137-1156

  Language:R1201

• JiJingYu/noise_estimate

  Language:Python1201