\documentclass{midl} % Include author names

% The following packages will be automatically loaded:
% jmlr, amsmath, amssymb, natbib, graphicx, url, algorithm2e
% ifoddpage, relsize and probably more
% make sure they are installed with your latex distribution

\usepackage{mwe} % to get dummy images
\jmlryear{2024}
\jmlrworkshop{Full Paper -- MIDL 2024}
\jmlrvolume{-- nnn}
\editors{Accepted for publication at MIDL 2024}

\title[Cerebral Vessel Generation]{Generating Cerebral Vessel Trees of Acute Ischemic Stroke Patients using Conditional Set-Diffusion}

 % Use \Name{Author Name} to specify the name.
 % If the surname contains spaces, enclose the surname
 % in braces, e.g. \Name{John {Smith Jones}} similarly
 % if the name has a "von" part, e.g \Name{Jane {de Winter}}.
 % If the first letter in the forenames is a diacritic
 % enclose the diacritic in braces, e.g. \Name{{\'E}louise Smith}

 % Two authors with the same address
 % \midlauthor{\Name{Author Name1} \Email{abc@sample.edu}\and
 %  \Name{Author Name2} \Email{xyz@sample.edu}\\
 %  \addr Address}

 % Three or more authors with the same address:
 % \midlauthor{\Name{Author Name1} \Email{an1@sample.edu}\\
 %  \Name{Author Name2} \Email{an2@sample.edu}\\
 %  \Name{Author Name3} \Email{an3@sample.edu}\\
 %  \addr Address}


% Authors with different addresses:
% \midlauthor{\Name{Author Name1} \Email{abc@sample.edu}\\
% \addr Address 1
% \AND
% \Name{Author Name2} \Email{xyz@sample.edu}\\
% \addr Address 2
% }

%\footnotetext[1]{Contributed equally}

% More complicate cases, e.g. with dual affiliations and joint authorship
\midlauthor{\Name{Thijs P. Kuipers\nametag{$^{1,2}$}} \Email{t.p.kuipers@amsterdamumc.nl}\\
\addr $^{1}$ Department of Biomedical Engineering and Physics, Amsterdam UMC, The Netherlands \\
\addr $^{2}$ Department of Radiology and Nuclear Medicine, Amsterdam UMC, The Netherlands \AND\\
\Name{Praneeta R. Konduri\nametag{$^{1,2}$}} \Email{p.r.konduri@amsterdamumc.nl}\\
\Name{Charles B. L. Majoie\nametag{$^{2}$}} \Email{c.b.majoie@amsterdamumc.nl}\\
\Name{Henk A. Marquering\nametag{$^{1,2}$}} \Email{h.a.marquering@amsterdamumc.nl}\\
\Name{Erik J. Bekkers\nametag{$^{3}$}} \Email{e.j.bekkers@uva.nl}\\
\addr $^{3}$ Informatics Institute, University of Amsterdam, The Netherlands}

\begin{document}

\maketitle

\begin{abstract}
% This is a great paper and it has a concise abstract. \todo{Use \texttt{\textbackslash TODO\{add text here\}} to add comments/notes in the text.}
The advancements in computational modeling and simulations have facilitated the emergence of in-silico clinical trials (ISCTs). ISCTs are valuable in developing and evaluating novel treatments targeting acute ischemic stroke (AIS), a prominent contributor to both mortality and disability rates. However, obtaining large populations of accurate anatomical structures that are required as input to ISCTs is labor-intensive and time-consuming. In this work, we propose and evaluate diffusion-based generative modeling and set transformers to generate a population of synthetic intracranial vessel tree centerlines with associated radii and vessel types. We condition our model on the presence of an occlusion in the middle cerebral artery, a frequently occurring occlusion location in AIS patients. Our analysis of generated synthetic populations shows that our model accurately produces diverse and realistic cerebral vessel trees that represent the geometric characteristics of the real population.\end{abstract}

\begin{keywords}
deep learning, diffusion, conditional, cerebral vessels, arteries, stroke, in-silico modeling
\end{keywords}

\input{sections/introduction}
\input{sections/method}
\input{sections/results}
\input{sections/conclusion}
\input{sections/acknowledgment}

\bibliography{midl24_137}

\newpage
\appendix
\input{sections/appendix}

\end{document}