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mrthat's Projects

2dpcal1-s icon 2dpcal1-s

Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.

360yunpan icon 360yunpan

360YunPan Command-line tools, support: Linux Mac Windows

acc-2015 icon acc-2015

Code to generate figures from the paper "Optimal experiment design for physiological parameter estimation using hyperpolarized carbon-13 magnetic resonance spectroscopy" by John Maidens, Peder E. Z. Larson and Murat Arcak

acc-2016 icon acc-2016

Code to generate figures from the paper "Semidefinite relaxations in optimal experiment design with application to substrate injection for hyperpolarized MRI" by John Maidens and Murat Arcak

actuar icon actuar

:exclamation: This is a read-only mirror of the CRAN R package repository. actuar — Actuarial Functions and Heavy Tailed Distributions

ais-impute icon ais-impute

Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion, matlab code

bart icon bart

Berkeley Advanced Reconstruction Toolbox: Image reconstruction toolbox for Magnetic Resonance Imaging

bptf icon bptf

Bayesian Poisson tensor factorization

btas icon btas

Basic Tensor Algebra Subroutines

cads-prostate-survey icon cads-prostate-survey

Prostate cancer is the second most diagnosed cancer of men all over the world. In the last few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have been developed to improve diagnosis. In practise, diagnosis can be affected by multiple factors such as observer variability and visibility and complexity of the lesions. In this regard, computer-aided detection and computer-aided diagnosis systems have been designed to help radiologists in their clinical practice. Research on computer-aided systems specifically focused for prostate cancer is a young technology and has been part of a dynamic field of research for the last 10 years. This survey aims to provide a comprehensive review of the state-of-the-art in this lapse of time, focusing on the different stages composing the work-flow of a computer-aided system. We also provide a comparison between studies and a discussion about the potential avenues for future research. In addition, this paper presents a new public online dataset which is made available to the research community with the aim of providing a common evaluation framework to overcome some of the current limitations identified in this survey.

convextensor icon convextensor

Matlab code for the paper "A New Convex Relaxation for Tensor Completion"

crossscalepatchmatch icon crossscalepatchmatch

Cross-Scale Cost Aggregation for Stereo Matching (CVPR 2014 + PatchMatch stereo submit to TPAMI)

cvpr15-cfss icon cvpr15-cfss

Full version (training+testing) of implementation of Shizhan Zhu et al.'s CVPR-15 work Face Alignment by Coarse-to-Fine Shape Searching

cvpr2015-opensfm icon cvpr2015-opensfm

Source material for the CVPR 2015 Tutorial: Open Source Structure-from-Motion

cvprtoolbox icon cvprtoolbox

Yet Another MATLAB Computer Vision and Pattern Recognition toolbox

cvxpy icon cvxpy

A Python-embedded modeling language for convex optimization problems.

dal icon dal

Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning

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