Deep Learning

Application of AI and Advanced MRI for a Better Prediction of Disease Progression in Neurological Disorders

Bonn International Fellowships (2024 - 2025)

CIR/01/2024: Ph.D. position in AI in Medicine with Large Language Models (m/f/d)

starting Dec 2024 or as agreed upon. The position is initially limited to three years, with the possibility of extension.

Moderator at the MIB Future Panel 2024

It was a pleasure moderating the Symposium on AI in Medicine and sharing our recent works, which have recently been accepted at hashtag#MICAD and hashtag#MICCAI Workshops! Thanks to the team members Sarah Schaab, David D. Gaviria, and Elyes Farjallah for their great efforts! Thanks to the co-moderator Prof. Valentin S. Schäfer, and the organizing team behind the MIB Future Panel; Lisa Mona Marie Senner, Prof. Frank G. Holz, and the dean, Prof. Bernd Weber, among others! Congrats to the winners!

David participated at the MIB Future Panel in Bonn

It was an exciting to present our research on *Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma* at the MIB Future Panel 2024. Hosted by the *Medical Imaging Center Bonn* in partnership with *Universitätsklinikum Bonn* and the Medical Faculty of *Rheinische Friedrich-Wilhelms-Universität Bonn*, this symposium united thought leaders from both academia and industry.

David participated with a poster presentation at the Student Retreat from BIGS Clinical and Population Science PhD program

David participated in the *Student Retreat 2024* organized by the BIGS Clinical and Population Science PhD program in Bonn, Germany. This event was an invaluable opportunity to present my research in a poster format, engage with fellow scholars, and exchange scientific knowledge.

MA Thesis: Deep Learning for Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma

Abstract: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers, with lymph node metastasis (LNM) being a critical determinant in patient prognosis and therapeutic planning [1-2]. Conventional methods for detecting LNM in PDAC primarily rely on contrast-enhanced CT scans, but these often fall short in sensitivity, especially in early-stage disease.

Invited Keynote at the 1st International NEU DESAM Biotechnology Congress in Nicosia

I had the pleasure to give a talk at the DESAM Congress at the Near East University in Nicosia. I had the chance to meet and discuss further collaboration with [rectorate](https://neu.edu.tr/about-us/management/rectorate/?lang=en) reprsented by the rector, Prof. Dr. Tamer ŞANLIDAĞ, vice rector; Prof. Dr. Umut AKSOY, and his advisors; Prof. Dr. Murat SAYAN and Assoc. Prof. Dr. Dilber UZUN ÖZŞAHİN at the Near East University.

CIR/02/2024: Research Manager (m/f/d)

starting Nov 2024 or as agreed upon. The position is initially limited to two years, with the possibility of extension.

Participate at the World Health Summit in Berlin

At the World Health Summit, I had the opportunity to participate in key sessions moderated by GLOHRA, such as *Stronger Together: Improving Research Partnerships with LMICs,* where we heard from influential figures, including parliament members, and sessions like *Bridging Policy and Research: Translating the EU Global Health Strategy into Action* and *Building Success: On the Road to the 'Nutrition for Growth'.*

Participate at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

Despite the difficult circumstances, we are proud to contribute to MICCAI 2024 with a few papers besides being on board the organizing committee of MICCAI 2024 and DeCaF Workshop! looking forward to meeting and interacting with #young #talents at #MICCAI in #Marrakech next week.