It is a pleasure to accept the invitation to deliver a talk at the The Artificial Intelligence and Machine-Learning (AIMS) working group of the North American Imaging in MS (NAIMS) Cooperative. I'll present our Nature Machine Intelligence Paper on anomaly detection in MR Brain Imaging which includes MS Lesions.
Abstract. Conjunctival Melanocytic Intraepithelial Lesions (CMIL) are a significant precursor to conjunctival melanoma, a rare but potentially fatal ocular cancer. The histopathological classification of CMIL is crucial for early diagnosis and treatment planning.
We are excited to announce that Albarqouni Lab is proud to be one of the host institutions for the prestigious DAAD AInet Fellowship, which is awarded twice a year to outstanding international early-career researchers in artificial intelligence. This fellowship offers a unique opportunity to join the Postdoctoral Networking Tour in Artificial Intelligence (Postdoc-NeT-AI), where awardees can engage with leading researchers in Germany, fostering collaborations and creating new research and career opportunities. At Albarqouni Lab, we are at the forefront of AI research in medical imaging, machine learning, and large language models, and have successfully hosted several AInet Fellows in the past. We invite interested applicants to apply and consider joining us to advance cutting-edge AI research in healthcare. More details can be found [here](https://www.daad.de/en/the-daad/postdocnet/details-and-application/).
Abstract. Breast density is a critical factor in breast cancer risk and detection, influencing the effectiveness of mammography. Higher breast density, characterized by a greater proportion of fibroglandular tissue relative to fatty tissue, is associated with a four- to sixfold increase in breast cancer risk.
Abstract. Magnetic Resonance Imaging (MRI) plays a vital role in modern diagnostics, offering detailed, non-invasive insights into human anatomy [1-2]. High-field MRI (HF-MRI) systems, which operate at higher magnetic field strengths, provide superior image resolution and contrast compared to low-field MRI (LF-MRI) systems [3-4].
We have just wrapped up an amazing week at the [Summer School on Affordbale AI (SAAI -- سعي)](https://saai2024.github.io/).
As the curtains close on an unforgettable week in Bonn, we reflect on the enriching experiences shared at the AGYA Summer School on Affordable AI. We were thrilled to host 60 guests, including 35 students from nations across the globe; 🇲🇷 Mauritania, 🇲🇦 Morocco, 🇹🇳 Tunisia, 🇩🇿 Algeria, 🇱🇾 Libya, 🇪🇬 Egypt, 🇵🇸 Palestine, 🇱🇧 Lebanon, 🇯🇴 Jordan, 🇸🇾 Syria, 🇮🇶 Iraq, 🇴🇲 Oman, 🇶🇦 Qatar, 🇰🇼 Kuwait, 🇸🇦Saudi, 🇦🇪 UAE, 🇾🇪 Yemen, 🇰🇲 Comoros, 🇩🇪 Germany, 🇷🇺 Russia, 🇮🇹 Italy, 🇺🇦 Ukraine, 🇫🇷 France, and 🇨🇴 Colombia alongside 15 faculty and AGYA members, and 6 dedicated tutors.
Our lab at Universitätsklinikum Bonn, The University of Bonn, and Helmholtz AI in cooperation with the Arab-German Young Academy of Sciences and Humanities (AGYA) are delighted to announce the upcoming AGYA Summer School on Affordable Artificial Intelligence (SAAI -سعي) in Bonn, 22-26 July 2024.
David had a enriching experience at the SDS Summer School 2023, hosted by the Institut de Chirurgie guidée par l'Image (IHU Strasbourg) and Université de Strasbourg. This event showcased the exciting fusion of computer science and surgical data science, offering a platform for exploring the latest advancements in the field.
Very much enjoyed the time in Strasbourg!
Great keynotes and lectures at the [summer school for surgical data science](https://www.edu4sds.org/). I was fortunate enough to meet a couple of brilliant minds at the school! It was also a pleasure meeting my mentor Prof. Nassir Navab!
Thanks for the invitation, organziation and the warm hospitality, Prof. Nicolas Padoy 🙏🙏
Abstract. Fetuses with diaphragmatic hernias face severe health and survival risks. Treatment and outcomes can be improved if this condition is detected early. Ultrasound measurement of the lung-to-head ratio (o/e LHR) is widely used in obstetric ultrasound procedures for the assessment of the observed to expected lung-to-head ratio.