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translation.html
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<!DOCTYPE HTML>
<html lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Nicola K Dinsdale</title>
<meta name="author" content="Nicola K Dinsdale">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
</head>
<body>
<table
style="width:100%;max-width:800px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
<tbody>
<tr style="padding:0px">
<td style="padding:0px">
<table
style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
<tbody>
<tr style="padding:0px">
<td style="padding:2.5%;width:63%;vertical-align:middle">
<p style="text-align:center">
<name>Translation of Deep Learning</name>
</p>
<p> Deep learning has shown great promise in the research domain, but significant barriers still exist which limit the clinical translatability of deep learning models.
</p>
<p style="text-align:center">
<a href="index.html">Home</a>  / 
<a
href="harmonisation.html">Harmonisation</a>
 / 
<a href="segmentation.html">Segmentation</a>  / 
<a href="translation.html">Translation</a>  / 
<a href="privacy.html">Privacy</a>  / 
<a href="explainable.html">Explainable AI</a>
</p>
</td>
<td style="padding:2.5%;width:40%;max-width:40%">
<a href="images/features.png"><img style="width:100%;max-width:100%"
alt="profile photo" src="images/features.png" class="hoverZoomLink"></a>
</td>
</tr>
</tbody>
</table>
<table
style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
<tbody>
<tr>
<td style="padding:20px;width:100%;vertical-align:middle">
<p style="text-align:center">
<heading>Papers</heading>
</td>
</tr>
</tbody>
</table>
<table
style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
<tbody>
<tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src='images/features.png'
width="160"
height="150">
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://www.sciencedirect.com/science/article/pii/S0896627322008170?dgcid=author">
<papertitle>Challenges for machine learning in clinical translation of big data imaging studies</papertitle>
</a>
<br>
<strong> Nicola K Dinsdale </strong>, <a href="http://emmabluemke.com/">Emma Bluemke</a>, <a href="https://www.ndcn.ox.ac.uk/team/vaanathi-sundaresan">Vaanathi Sundaresan</a>, <a href="https://www.ndcn.ox.ac.uk/team/mark-jenkinson">Mark Jenkinson</a>, <a href="https://www.ndcn.ox.ac.uk/team/stephen-smith">Steve Smith</a>, <a href="https://www.pmb.ox.ac.uk/person/dr-ana-namburete">Ana IL Namburete</a>
<br>
<em>Neuron </em>, 2022
<br>
<a href="https://www.sciencedirect.com/science/article/pii/S0896627322008170?dgcid=author">Paper</a> / <a href="https://github.com/nkdinsdale/challenges_review">Code</a>
<p></p>
<p> Review article, explores: data availability, interpretability, model bias and data privacy.</p>
</td>
</tr>
<tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src='images/jay_paper.png'
width="160"
height="150">
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/abs/2405.13235">
<papertitle>QAERTS: Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos </papertitle>
</a>
<br>
<a href="https://reuben.ox.ac.uk/people/jayroop-ramesh#tab-4269921">Jayroop Ramesh</a>, <strong> Nicola K Dinsdale</strong>, the INTERGROWTH-21st Consortium, Pak-Hei Yeung, <a href="https://www.pmb.ox.ac.uk/person/dr-ana-namburete">Ana IL Namburete</a>
<br>
<em> MICCAI 2024 (Early Accept, Top 11%) </em>
<br>
<a href="https://arxiv.org/abs/2405.13235">Paper</a> / <a href="https://github.com/jayrmh/QAERTS.git">Code</a>
<p></p>
<p> We propose an uncertainty-aware deep learning model for automated 3D plane localization in 2D fetal brain images. </p>
</td>
</tr>
<tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src='images/characterising.png'
width="160"
height="150">
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://www.medrxiv.org/content/10.1101/2023.06.22.23291592v1.full.pdf">
<papertitle>Characterizing personalized neuropathology in dementia and mild cognitive impairment with explainable artificial
intelligence </papertitle>
</a>
<br>
Esten H. Leonardsen, Karin Persson, Edvard Grødem, <strong> Nicola K Dinsdale </strong>, ... , Thomas Wolfers, Lars T. Westlye, Yunpeng Wang
<br>
<em>Medrxiv, 2023</em>
<br>
<a href="https://www.medrxiv.org/content/10.1101/2023.06.22.23291592v1.full.pdf">Paper</a>
<p></p>
<p> We trained convolutional neural nets to differentiate patients with
dementia from healthy controls, and applied layerwise relevance propagation to procure individual-level
explanations of the model predictions. Through extensive validations we demonstrate that patterns
recognized by the model corroborate existing knowledge of neuropathology in dementia. </p>
</td>
</tr>
<tr>
<td style="padding:20px;width:25%;vertical-align:middle">
<img src='images/hippocampus.png'
width="160"
height="150">
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://onlinelibrary.wiley.com/doi/10.1002/hbm.25858?af=R">
<papertitle>The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects</papertitle></a>
<br>
Erica Balboni, Luca Nocetti, Chiara Carbone, <strong> Nicola K Dinsdale </strong>, Maurilio Genovese, Gabriele Guidi, Marcella Malagoli, Annalisa Chiari, <a href="https://www.pmb.ox.ac.uk/person/dr-ana-namburete">Ana IL Namburete</a>, <a href="https://www.ndcn.ox.ac.uk/team/mark-jenkinson">Mark Jenkinson</a>, Giovanna Zamboni,
<br>
<em>Human Brain Mapping 2022 </em>
<br>
<a href="https://onlinelibrary.wiley.com/doi/10.1002/hbm.25858?af=R">Paper</a> / <a href="https://github.com/ericabalboni/SWANS">Code</a>
<p></p>
<p> Exploration of the use of my SWANS algorithm for clinical data, across disease groups - SWANS first presented at <a href="https://link.springer.com/chapter/10.1007/978-3-030-32248-9_32">MICCAI 2019</a> </p>
</td>
</tr>
</tbody>
</table>
<br>
<p style="text-align:right;font-size:small;">
The template of this webpage is from <a
href="https://github.com/jonbarron/jonbarron_website">source
code</a>.
</p>
</td>
</tr>
</tbody>
</table>
</body>
</html>