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4 changes: 2 additions & 2 deletions 404.html
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Expand Up @@ -711,8 +711,6 @@ <h2>Latest</h2>

<li><a href="/publication/cite-key/">Federated disentangled representation learning for unsupervised brain anomaly detection</a></li>

<li><a href="/positions/mra_cir.03.2023/">CIR/03/2023: Medical Research Assistant (m/f/d)</a></li>

<li><a href="/students/theses/ma_thesis_automatic_detection_and_grading_of_prostate_cancer/">MA Thesis: Deep Learning based model for detection and grading of prostate cancer using mpMRI and MR-Fingerprinting</a></li>

<li><a href="/students/theses/ma_thesis_deep_learning-based_method_for_virtual_ecv_in_cardiac_magnetic_resonance_imaging/">MA Thesis: Deep Learning-based method for virtual ECV in cardiac magnetic resonance imaging</a></li>
Expand All @@ -723,6 +721,8 @@ <h2>Latest</h2>

<li><a href="/publication/nguyen-2022-joint/">Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering</a></li>

<li><a href="/talk/mbzuai/">Invited Talk at the Workshop on Collaborative Learning: From Theory to Practice</a></li>

</ul>


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27 changes: 16 additions & 11 deletions authors/jakob-weiss/index.xml
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<title>Jakob Weiß | Albarqouni Lab</title>
<link>https://albarqouni.github.io/authors/jakob-wei%C3%9F/</link>
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<description>Jakob Weiß</description>
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<title>Jakob Weiß</title>
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<title>Jakob Weiss</title>
<link>https://albarqouni.github.io/authors/jakob-weiss/</link>
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<item>
<title>FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation</title>
<link>https://albarqouni.github.io/publication/bernecker-2022-fednorm/</link>
<pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate>
<guid>https://albarqouni.github.io/publication/bernecker-2022-fednorm/</guid>
<title>Retinal Layer Segmentation Reformulated as OCT Language Processing</title>
<link>https://albarqouni.github.io/publication/tran-2020-retinal/</link>
<pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
<guid>https://albarqouni.github.io/publication/tran-2020-retinal/</guid>
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8 changes: 0 additions & 8 deletions authors/shadi-albarqouni/index.html
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Expand Up @@ -1019,10 +1019,6 @@ <h3>Latest</h3>
<a href="/publication/cite-key/">Federated disentangled representation learning for unsupervised brain anomaly detection</a>
</li>

<li>
<a href="/positions/mra_cir.03.2023/">CIR/03/2023: Medical Research Assistant (m/f/d)</a>
</li>

<li>
<a href="/students/theses/ma_thesis_automatic_detection_and_grading_of_prostate_cancer/">MA Thesis: Deep Learning based model for detection and grading of prostate cancer using mpMRI and MR-Fingerprinting</a>
</li>
Expand All @@ -1047,10 +1043,6 @@ <h3>Latest</h3>
<a href="/publication/bercea-2022-federated/">Federated disentangled representation learning for unsupervised brain anomaly detection</a>
</li>

<li>
<a href="/positions/postdoc_cir.05.2023/">CIR/05/2023: Postdoc position in Computational Medical Imaging (m/f/d)</a>
</li>

<li>
<a href="/publication/kazeminia-2022-anomaly/">Anomaly-aware multiple instance learning for rare anemia disorder classification</a>
</li>
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85 changes: 0 additions & 85 deletions authors/shadi-albarqouni/index.xml
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Expand Up @@ -145,47 +145,6 @@ on-site health management service: Numerous health promotion offers&lt;/li&gt;
<description></description>
</item>

<item>
<title>CIR/03/2023: Medical Research Assistant (m/f/d)</title>
<link>https://albarqouni.github.io/positions/mra_cir.03.2023/</link>
<pubDate>Thu, 15 Dec 2022 00:00:00 +0000</pubDate>
<guid>https://albarqouni.github.io/positions/mra_cir.03.2023/</guid>
<description>&lt;p&gt;We combine excellence in research, teaching, and patient care. The University Hospital Bonn (UKB) is a maximum care hospital with more than 1,300 beds. With around 38 clinics and 31 institutes as well as more than 8,000 employees (over 5,000 full-time staff), the UKB is one of the largest employers in Bonn. Every year, the UKB treats around 50,000 inpatients and around 35,000 emergencies, as well as provides over 350,000 outpatient treatments.&lt;/p&gt;
&lt;p&gt;The following &lt;strong&gt;part-time (8 hrs./week)&lt;/strong&gt; Medical Research Assistant is available at the &lt;strong&gt;Computational Imaging Research (CIR) Lab&lt;/strong&gt;, led by Prof. Dr. Shadi Albarqouni, in the &lt;strong&gt;Clinic for Diagnostic and Interventional Radiology&lt;/strong&gt; of the University Hospital Bonn, University of Bonn:&lt;/p&gt;
&lt;h2 id=&#34;medical-research-assistant-mfd&#34;&gt;&lt;strong&gt;Medical Research Assistant (m/f/d)&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;starting July 2023 or as agreed upon. The position is initially limited to two years, with the possibility of extension.&lt;/p&gt;
&lt;p&gt;The medical research assistant position will be based in the newly founded research lab for Computational Imaging Research (CIR), which aims to develop i) fully automated, highly accurate innovative computational methods that save expert labor and efforts, and mitigate the challenges in medical imaging; namely the availability of a few annotated data, low inter-/intra-observers agreement, inter-/intra-scanners variability and domain shift, ii) innovative deep Federated Learning algorithms that can fairly distill and share the knowledge among AI agents in a robust and privacy-preserved way, and iii) affordable AI algorithms suitable for low-quality data generated by low-resource settings and point-of-care devices. The medical research assistant is the key component in developing the next generation of AI in Medicine by providing high-quality annotations for medical imaging and radiology/pathology reports.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Your responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Assisting the team members in the data collection process&lt;/li&gt;
&lt;li&gt;Annotating the collected imaging data for various projects using readily available tools&lt;/li&gt;
&lt;li&gt;Performing quality control of annotated images collected by different partners&lt;/li&gt;
&lt;li&gt;Collaboration with team members and clinical partners must be maintained&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Your qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Medical Doctorate (MD) degree&lt;/li&gt;
&lt;li&gt;Passionate about Machine/Deep Learning in Medical Imaging&lt;/li&gt;
&lt;li&gt;Be highly motivated and a team player with excellent communication and presentation skills, including experience in communicating across discipline boundaries&lt;/li&gt;
&lt;li&gt;Fluent command of the English language&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What we offer you:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;A secure future:&lt;/strong&gt; remuneration according to the German salary scale TV-Ä (Ä1/Ä2 &amp;ndash; 20%)&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Flexible for families:&lt;/strong&gt; flexible working time, home office, onsite nursery, and parental care.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Provisions for later:&lt;/strong&gt; company pension scheme&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Discounted public transport ticket:&lt;/strong&gt; discounted ticket for public transport (VRS)
on-site health management service: Numerous health promotion offers&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Employer benefits:&lt;/strong&gt; Discounted offers for employees&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Subsidized continuing education and training&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The University of Bonn is committed to diversity and equal opportunity and is certified as a family-friendly university. It aims to increase the proportion of women in areas where women are under-represented and to promote their careers in particular. Therefore, we strongly encourage applications from qualified women. Applications will be handled in accordance with the State Equality Act (Landesgleichstellungsgesetz). Applications from individuals with a certified severe disability and from those of equal status are particularly welcome.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Contact:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;If you meet the requirements and you are looking for a challenging job? Do not hesitate and send your application including a cover letter (highlighting your qualifications), a detailed CV (with links to previous projects and code), scanned academic degrees, and the contact details of two referees (preferably by e-mail in a single PDF file up to 5 MB in size), quoting the job advertisement no. CIR/03/2023 in your email’s subject to
&lt;a href=&#34;mailto:shadi.albarqouni@ukbonn.de&#34;&gt;Prof. Dr. Shadi Albarqouni&lt;/a&gt;.&lt;/p&gt;
</description>
</item>

<item>
<title>MA Thesis: Deep Learning based model for detection and grading of prostate cancer using mpMRI and MR-Fingerprinting</title>
<link>https://albarqouni.github.io/students/theses/ma_thesis_automatic_detection_and_grading_of_prostate_cancer/</link>
Expand Down Expand Up @@ -537,50 +496,6 @@ Pre- and post-contrast cardiac T1 relaxation time maps from a total of 1086 subj
<description></description>
</item>

<item>
<title>CIR/05/2023: Postdoc position in Computational Medical Imaging (m/f/d)</title>
<link>https://albarqouni.github.io/positions/postdoc_cir.05.2023/</link>
<pubDate>Tue, 07 Jun 2022 00:00:00 +0000</pubDate>
<guid>https://albarqouni.github.io/positions/postdoc_cir.05.2023/</guid>
<description>&lt;p&gt;We combine excellence in research, teaching, and patient care. The University Hospital Bonn (UKB) is a maximum care hospital with more than 1,300 beds. With around 38 clinics and 31 institutes as well as more than 8,000 employees (over 5,000 full-time staff), the UKB is one of the largest employers in Bonn. Every year, the UKB treats around 50,000 inpatients and around 35,000 emergencies, as well as provides over 350,000 outpatient treatments.&lt;/p&gt;
&lt;p&gt;The following &lt;strong&gt;full-time (38.5 hrs./week)&lt;/strong&gt; Psotdcotoral researcher position is available at the &lt;strong&gt;Computational Imaging Research (CIR) Lab&lt;/strong&gt;, headed by Prof. Dr. Shadi Albarqouni, in the &lt;strong&gt;Clinic for Diagnostic and Interventional Radiology&lt;/strong&gt; of the University Hospital Bonn, University of Bonn:&lt;/p&gt;
&lt;h2 id=&#34;postdoc-position-in-computational-medical-imaging-mfd&#34;&gt;&lt;strong&gt;Postdoc position in Computational Medical Imaging (m/f/d)&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;starting May/June 2023 or as agreed upon. The position is initially limited to two years.&lt;/p&gt;
&lt;p&gt;The Postdoc position will be based in the newly founded research lab for Computational Imaging Research (CIR), which aims to develop i) fully automated, highly accurate innovative computational methods that save expert labor and efforts, and mitigate the challenges in medical imaging; namely the availability of a few annotated data, low inter-/intra-observers agreement, inter-/intra-scanners variability and domain shift, ii) innovative deep Federated Learning algorithms that can fairly distill and share the knowledge among AI agents in a robust and privacy-preserved way, and iii) affordable AI algorithms suitable for low-quality data generated by low-resource settings and point-of-care. The Postdoc will have the chance to closely work with clinicians and Ph.D. students. If you have experience with computational methods in medical imaging, this is a great opportunity to be part of our team.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Your responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop innovative computational algorithms for Robustness and Uncertainty&lt;/li&gt;
&lt;li&gt;Publish and present scientific outcomes at Intl. conferences and high-impact journals&lt;/li&gt;
&lt;li&gt;Maintain close collaboration with the team members and clinical partners&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Your qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Ph.D. in Computer Science, Machine Learning, or equivalent with an interest in Medical Imaging&lt;/li&gt;
&lt;li&gt;Strong knowledge in Machine/Deep Learning with experience in discriminative and generative models, robustness, and uncertainty quantification.&lt;/li&gt;
&lt;li&gt;Track record of publications at top-tier conferences in the field (e.g., MICCAI, IPMI, and MIDL) and high-impact journals in the field (e.g., Nat. Mach. Intell., MedIA, and IEEE TMI)&lt;/li&gt;
&lt;li&gt;Excellent programming skills in Python, PyTorch, and MONAI including fundamental software engineering principles and machine learning design patterns&lt;/li&gt;
&lt;li&gt;Working in a Linux environment, with experience in shell and cluster (SLURM) scripting&lt;/li&gt;
&lt;li&gt;Excellent analytical, technical, and problem-solving skills&lt;/li&gt;
&lt;li&gt;Be highly motivated and a team player with excellent communication and presentation skills, including experience in communicating across discipline boundaries&lt;/li&gt;
&lt;li&gt;Fluent command of the English language&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What we offer you:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;A secure future:&lt;/strong&gt; remuneration according to the German salary scale TV-L (E13 - 100%)&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Flexible for families:&lt;/strong&gt; flexible working time, home office, onsite nursery, and parental care.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Provisions for later:&lt;/strong&gt; company pension scheme&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Discounted public transport ticket:&lt;/strong&gt; discounted ticket for public transport (VRS)
on-site health management service: Numerous health promotion offers&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Employer benefits:&lt;/strong&gt; Discounted offers for employees&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Subsidized continuing education and training&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The University of Bonn is committed to diversity and equal opportunity and is certified as a family-friendly university. It aims to increase the proportion of women in areas where women are under-represented and to promote their careers in particular. Therefore, we strongly encourage applications from qualified women. Applications will be handled in accordance with the State Equality Act (Landesgleichstellungsgesetz). Applications from individuals with a certified severe disability and from those of equal status are particularly welcome.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Contact:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;If you meet the requirements and you are looking for a challenging job? Do not hesitate and send your application including a cover letter (highlighting your qualifications), a detailed CV (with links to previous projects and code), scanned academic degrees, and the contact details of two referees (preferably by e-mail in a single PDF file up to 5 MB in size), quoting the job advertisement no. CIR/05/2023 in your email’s subject to
&lt;a href=&#34;mailto:shadi.albarqouni@ukbonn.de&#34;&gt;Prof. Dr. Shadi Albarqouni&lt;/a&gt;.&lt;/p&gt;
</description>
</item>

<item>
<title>Anomaly-aware multiple instance learning for rare anemia disorder classification</title>
<link>https://albarqouni.github.io/publication/kazeminia-2022-anomaly/</link>
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Expand Up @@ -7060,196 +7060,6 @@ <h3 class="article-title mb-0 mt-0">




















<div class="media stream-item">
<div class="media-body">

<h3 class="article-title mb-0 mt-0">
<a href="/positions/mra_cir.03.2023/" >CIR/03/2023: Medical Research Assistant (m/f/d)</a>
</h3>


<div class="article-style">
starting July 2023 or as agreed upon. The position is initially limited to two years, with the possibility of extension.
</div>


<div class="stream-meta article-metadata">







<div class="article-metadata">





<div>



<span><a href="/authors/shadi-albarqouni/">Shadi Albarqouni</a></span>
</div>




<span class="article-date">




Dec 15, 2022
</span>













</div>


</div>



</div>
<div class="ml-3">



<a href="/positions/mra_cir.03.2023/" >
<img src="/positions/mra_cir.03.2023/featured_hu361a0a9fff5a47d8b6348e70b4c915c1_3833920_150x0_resize_lanczos_3.png" alt="">
</a>

</div>
</div>




















<div class="media stream-item">
<div class="media-body">

<h3 class="article-title mb-0 mt-0">
<a href="/positions/postdoc_cir.05.2023/" >CIR/05/2023: Postdoc position in Computational Medical Imaging (m/f/d)</a>
</h3>


<div class="article-style">
starting July 2023 or as agreed upon. The position is initially limited to two years.
</div>


<div class="stream-meta article-metadata">







<div class="article-metadata">





<div>



<span><a href="/authors/shadi-albarqouni/">Shadi Albarqouni</a></span>
</div>




<span class="article-date">




Jun 7, 2022
</span>













</div>


</div>



</div>
<div class="ml-3">



<a href="/positions/postdoc_cir.05.2023/" >
<img src="/positions/postdoc_cir.05.2023/featured_hu361a0a9fff5a47d8b6348e70b4c915c1_3833920_150x0_resize_lanczos_3.png" alt="">
</a>

</div>
</div>






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