Fix broken links in documentation

README.md

@@ -58,9 +58,6 @@ at [OpenAI](https://openai.com/) ([link](https://jack-clark.net/2020/03/17/)).
             <a href="https://scrutinizer-ci.com/g/TorchIO-project/torchio/?branch=main">
                 <img src="https://img.shields.io/scrutinizer/g/TorchIO-project/torchio.svg?label=Code%20quality&logo=scrutinizer" alt="Code quality">
             </a>
-            <a href="https://codeclimate.com/github/TorchIO-project/torchio">
-                <img src="https://api.codeclimate.com/v1/badges/518673e49a472dd5714d/maintainability" alt="Code maintainability">
-            </a>
             <a href="https://github.com/pre-commit/pre-commit">
                 <img src="https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white" alt="pre-commit">
             </a>

docs/source/README.rst

@@ -4,7 +4,7 @@ TorchIO
 
 |PyPI-downloads| |PyPI-version| |Conda-version| |Google-Colab-notebook|
 |Docs-status| |Tests-status| |Ruff|
-|Coverage-codecov| |Code-Quality| |Code-Maintainability| |pre-commit|
+|Coverage-codecov| |Code-Quality| |pre-commit|
 |YouTube|
 
 
@@ -22,7 +22,7 @@ or `k-space motion artifacts <http://proceedings.mlr.press/v102/shaw19a.html>`_.
 
 TorchIO is part of the official `PyTorch Ecosystem <https://pytorch.org/ecosystem/>`_,
 and was featured at
-the `PyTorch Ecosystem Day 2021 <https://pytorch.org/ecosystem/pted/2021>`_ and
+the `PyTorch Ecosystem Day 2021 <https://pytorch.org/blog/ecosystem_day_2021>`_ and
 the `PyTorch Developer Day 2021 <https://pytorch.org/blog/pytorch-developer-day-2021>`_.
 
 Many groups have used TorchIO for their research.
@@ -109,10 +109,6 @@ If you found a bug or have a feature request, please open an issue:
    :target: https://github.com/TorchIO-project/torchio#contributors
    :alt: All contributors
 
-.. |Code-Maintainability| image:: https://api.codeclimate.com/v1/badges/518673e49a472dd5714d/maintainability
-   :target: https://codeclimate.com/github/TorchIO-project/torchio
-   :alt: Maintainability
-
 .. |pre-commit| image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white
    :target: https://github.com/pre-commit/pre-commit
    :alt: pre-commit

docs/source/quickstart.rst

@@ -7,13 +7,8 @@ Installation
 The Python package is hosted on the
 `Python Package Index (PyPI) <https://pypi.org/project/torchio/>`_.
 
-To install the latest PyTorch version before installing TorchIO, it is
-recommended to use `light-the-torch <https://github.com/pmeier/light-the-torch>`_::
-
-    $ pip install light-the-torch && ltt install torch
-
 The latest published version of TorchIO can be installed using Pip Installs
-Packages (``pip``)::
+Packages (PIP)::
 
     $ pip install torchio
 
@@ -25,12 +20,15 @@ If you would like to install Matplotlib to use the plotting features, use::
 
     $ pip install torchio[plot]
 
+You can also install TorchIO with Conda::
+
+    $ conda install -c conda-forge torchio
 
 If you are on Windows and have
 `trouble installing TorchIO <https://github.com/TorchIO-project/torchio/issues/343>`_,
 try `installing PyTorch <https://pytorch.org/get-started/locally/>`_ with
-`conda <https://docs.conda.io/en/latest/miniconda.html>`_ before pip-installing
-TorchIO.
+`conda <https://docs.conda.io/en/latest/miniconda.html>`_
+before pip-installing TorchIO.
 
 Hello, World!
 -------------
@@ -50,13 +48,15 @@ in parallel::
         t1=tio.ScalarImage('subject_a.nii.gz'),
         label=tio.LabelMap('subject_a.nii'),
         diagnosis='positive',
+        age=36,
     )
 
     # Image files can be in any format supported by SimpleITK or NiBabel, including DICOM
     subject_b = tio.Subject(
         t1=tio.ScalarImage('subject_b_dicom_folder'),
         label=tio.LabelMap('subject_b_seg.nrrd'),
         diagnosis='negative',
+        age=24,
     )
 
     # Images may also be created using PyTorch tensors or NumPy arrays
@@ -65,9 +65,14 @@ in parallel::
         t1=tio.ScalarImage(tensor=tensor_4d),
         label=tio.LabelMap(tensor=(tensor_4d > 0.5)),
         diagnosis='negative',
+        age=19,
     )
 
-    subjects_list = [subject_a, subject_b, subject_c]
+    subjects_list = [
+        subject_a,
+        subject_b,
+        subject_c,
+    ]
 
     # Let's use one preprocessing transform and one augmentation transform
     # This transform will be applied only to scalar images:

src/torchio/transforms/augmentation/intensity/random_spike.py

@@ -15,7 +15,7 @@ class RandomSpike(RandomTransform, IntensityTransform, FourierTransform):
     r"""Add random MRI spike artifacts.
 
     Also known as `Herringbone artifact
-    <https://radiopaedia.org/articles/herringbone-artifact?lang=gb>`_,
+    <https://radiopaedia.org/articles/herringbone-artifact>`_,
     crisscross artifact or corduroy artifact, it creates stripes in different
     directions in image space due to spikes in k-space.