Neurolibre/index.html at master · 3design/Neurolibre · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
<!DOCTYPE html>
<html lang="en">
<head>

    <meta charset="utf-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <title>NeuroLibre</title>
    <link href="css/styles.css" rel="stylesheet">

    <!-- Custom Fonts from Google -->
    <link href="https://fonts.googleapis.com/css?family=PT+Sans+Narrow|PT+Sans:400,700" rel="stylesheet">

    <!-- Favicon -->

    <link rel="apple-touch-icon" sizes="57x57" href="images/favicon/apple-icon-57x57.png">
    <link rel="apple-touch-icon" sizes="60x60" href="images/favicon/apple-icon-60x60.png">
    <link rel="apple-touch-icon" sizes="72x72" href="images/favicon/apple-icon-72x72.png">
    <link rel="apple-touch-icon" sizes="76x76" href="images/favicon/apple-icon-76x76.png">
    <link rel="apple-touch-icon" sizes="114x114" href="images/favicon/apple-icon-114x114.png">
    <link rel="apple-touch-icon" sizes="120x120" href="images/favicon/apple-icon-120x120.png">
    <link rel="apple-touch-icon" sizes="144x144" href="images/favicon/apple-icon-144x144.png">
    <link rel="apple-touch-icon" sizes="152x152" href="images/favicon/apple-icon-152x152.png">
    <link rel="apple-touch-icon" sizes="180x180" href="images/favicon/apple-icon-180x180.png">
    <link rel="icon" type="image/png" sizes="192x192"  href="images/favicon/android-icon-192x192.png">
    <link rel="icon" type="image/png" sizes="32x32" href="images/favicon/favicon-32x32.png">
    <link rel="icon" type="image/png" sizes="96x96" href="images/favicon/favicon-96x96.png">
    <link rel="icon" type="image/png" sizes="16x16" href="images/favicon/favicon-16x16.png">
    <link rel="manifest" href="images/favicon/manifest.json">
    <meta name="msapplication-TileColor" content="#ffffff">
    <meta name="msapplication-TileImage" content="images/favicon/ms-icon-144x144.png">
    <meta name="theme-color" content="#ffffff">

</head>

<body>

    <!-- Header -->
    <header class="site-header">
        <div class="header-content">
            <!-- Logo and responsive toggle -->
            <div class="site-branding">
                <a class="custom-logo-link" href="http://conp.ca">
                    <img src="images/conp-logo.png">
                </a>
            </div>
            <h1 class="site-title">NeuroLibre</h1>
<!--             <div class="language">
                <a href="fr/index.html">
                    <p>Français</p>
                </a>
            </div> -->
        </div><!-- /.container -->
    </header>


    <!-- Content -->

    <section>
        <div class="site-content">
            <div class="site-content-inner">
                <img src="images/neurolibre-icon-red.png">
                <p class="neurolibre-description">
                    <span class="dropcap">N</span>eurolibre is a curated repository of neuroscience notebooks, seamlessly integrating data, text, code and figures. Notebooks can be freely modified and re-executed through the web, offering a fully reproducible, “libre” path from data to figures. Neurolibre is powered by the <a href="https://mybinder.org/">binder</a> project, with computational resources provided by <a href="http://conp.ca">CONP</a>, <a href="https://mybinder.org/">CBRAIN</a> and <a href="https://mybinder.org/">Compute Canada</a>.
                </p>
            </div>
        </div>
    </section>

    <section>
        <div class="site-content">
            <div class="card-holder">
                <!-- this is a card and can be replicated for each notebook -->
                <div class="card-long">
                    <img src="images/thumbs/qmr-lab-logo.jpg" class="post-thumbnail">
                    <div class="entry-details">
                        <h2 class="entry-title">
                            <a href="https://qmrlab.org/t1_book/intro">Quantitative T1 Mapping</a>
                        </h2>
                        <h3 class="entry-subtitle">In-depth interactive tutorial on the fundamentals of measurement techniques for the tissue-specific MRI signal recovery parameter, T1.</h3>
                        <p class="entry-content">This tutorial provides an introduction to quantitative T1 mapping, from an MRI physics perspective. Two widely used techniques are covered in-depth, Inversion Recovery and Variable Flip Angle (VFA), along with some discussions of cutting-edge variants of these techniques. This interactive tutorial is coded in both Octave (an open-source Matlab clone) and Python, and uses qMRLab for the T1 signal simulations and data fitting.</p>
                    </div>
                </div>

                <div class="card-long">
                    <img src="images/thumbs/logo_sct.png" class="post-thumbnail">
                    <div class="entry-details">
                        <h2 class="entry-title">
                            <a href="https://mathieuboudreau.github.io/pipelines-jupyter-book/01/sct_mtsat">Image processing with Spinal Cord Toolbox (SCT)</a>
                        </h2>
                        <h3 class="entry-subtitle">A step-by-step walkthrough of an example analysis pipeline using SCT, from raw data to final quantitative metrics.</h3>
                        <p class="entry-content">This notebook presents an example analysis pipeline using the Spinal Cord Toolbox (SCT), a suite of tools specialized for analysis of spinal cord MRI images of the spinal. Topics covered include: segmentation, masking, registration, warping, and quantitative metric computation. This tutorial was generated in a Jupyter Notebook and coded in Python.</p>
                    </div>
                </div>

                <div class="card-long">
                    <img src="images/thumbs/ni-learn.png" class="post-thumbnail">
                    <div class="entry-details">
                        <h2 class="entry-title">
                            <a href="https://brainhack101.github.io/introML-book">Introduction to Machine Learning with Nilearn</a>
                        </h2>
                        <h3 class="entry-subtitle">An interactive introduction to machine learning with neuroimaging data, using the Nilearn software package.</h3>
                        <p class="entry-content">An introductory tutorial for using the popular Nilearn software package to perform machine learning analyses with neuroimaging data. This material is adapted from the Montreal AI and Neuroscience (MAIN) 2018 workshops.</p>
                    </div>
                </div>

                <div class="card-long">
                    <img src="images/thumbs/adni-logo.png" class="post-thumbnail">
                    <div class="entry-details">
                        <h2 class="entry-title">
                            <a href="https://simexp.github.io/vcog_hps_ad_book/intro.html">A highly predictive signature (HPS) of Alzheimer's disease dementia from cognitive and structural brain features</a>
                        </h2>
                        <h3 class="entry-subtitle">Signature of Alzheimer's disease with simulated cognitive and structural features.</h3>
                        <p class="entry-content">A jupyter notebook containing analyses that give a highly predictive signature (HPS) of Alzheimer's disease dementia from cognitive and structural features using simulated data. <a href="https://doi.org/10.1101/352344">Original paper</a></p>
                    </div>
                </div>

            </div>
        </div>
    </section>

    <!-- Footer -->
    <footer class="site-info">

        <!-- Contact Us -->
        <div class="contact">
            <div class="container">
                <h2 class="section-heading">Contact Us</h2>
                <p><span class="glyphicon glyphicon-earphone"></span><br> +1(23) 456 7890</p>
                <p><span class="glyphicon glyphicon-envelope"></span><br> info@example.com</p>
            </div>
        </div>
    </footer>

</body>

</html>