<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Datasets |</title><link>https://albarqouni.github.io/datasets/</link><atom:link href="https://albarqouni.github.io/datasets/index.xml" rel="self" type="application/rss+xml"/><description>Datasets</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><image><url>https://albarqouni.github.io/media/logo_hu_43a0798e7da4e673.png</url><title>Datasets</title><link>https://albarqouni.github.io/datasets/</link></image><item><title>Breast Mammography Dataset (Lebanon &amp; international cohorts)</title><link>https://albarqouni.github.io/datasets/breast-mammography/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://albarqouni.github.io/datasets/breast-mammography/</guid><description>&lt;p&gt;Partner: Dr. Charbel Mourad. Basis of our MICCAI 2025 study on bias and generalisability of foundation models across mammography datasets.&lt;/p&gt;</description></item><item><title>Conjunctival Melanocytic Intraepithelial Lesion (CMIL) Histopathology Dataset</title><link>https://albarqouni.github.io/datasets/cmil-histopathology/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://albarqouni.github.io/datasets/cmil-histopathology/</guid><description>&lt;p&gt;Curated with Prof. Martina C. Herwig-Carl (Ophthalmic Pathology, UKB) together with University Hospitals Tübingen and Erlangen.&lt;/p&gt;</description></item><item><title>Fetal Ultrasound Dataset for Congenital Diaphragmatic Hernia</title><link>https://albarqouni.github.io/datasets/fetal-us-cdh/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://albarqouni.github.io/datasets/fetal-us-cdh/</guid><description>&lt;p&gt;Partner: PD Dr. Florian Recker, Center for Obstetrics and Gynecology, University Hospital Bonn.&lt;/p&gt;</description></item><item><title>FLamby — Federated Learning Benchmark for Healthcare</title><link>https://albarqouni.github.io/datasets/flamby/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://albarqouni.github.io/datasets/flamby/</guid><description>&lt;p&gt;International collaboration led by Owkin (Jean Ogier du Terrail) with EPFL, Inria, IP Paris, USC and UC Berkeley. Our lab contributed dataset preparation, benchmark design and federated evaluation.&lt;/p&gt;</description></item><item><title>Giant Cell Arteritis Ultrasound Dataset</title><link>https://albarqouni.github.io/datasets/gca-ultrasound/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://albarqouni.github.io/datasets/gca-ultrasound/</guid><description>&lt;p&gt;Curated with the Center for Rare Rheumatological Diseases (Claus-Jürgen Bauer, Prof. Valentin Schäfer), University Hospital Bonn. One of the largest clinically validated datasets for ultrasound-based GCA diagnosis; being extended towards a multi-center German cohort.&lt;/p&gt;
&lt;p&gt;Our lab led the ML-readiness: quality control, cleaning, standardised preprocessing, annotation workflow and training/validation splits.&lt;/p&gt;</description></item><item><title>LYSTO — Lymphocyte Assessment Hackathon Benchmark</title><link>https://albarqouni.github.io/datasets/lysto/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://albarqouni.github.io/datasets/lysto/</guid><description>&lt;p&gt;International initiative with Francesco Ciompi (Radboudumc).&lt;/p&gt;</description></item><item><title>MR-Linac Adaptive Radiotherapy MRI Dataset</title><link>https://albarqouni.github.io/datasets/mr-linac-rt/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://albarqouni.github.io/datasets/mr-linac-rt/</guid><description>&lt;p&gt;Partners: Prof. Guillaume Landry, Dr. Christopher Kurz (LMU University Hospital) and Prof. Nassir Navab (TUM), with University Hospital Düsseldorf, Heidelberg, Zurich and Gemelli Rome. Basis of CloverNet and ProSona.&lt;/p&gt;</description></item><item><title>Musculoskeletal Photon-Counting CT Dataset</title><link>https://albarqouni.github.io/datasets/msk-ct/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://albarqouni.github.io/datasets/msk-ct/</guid><description>&lt;p&gt;Acquired at the Department of Radiology, UKB, on photon-counting CT. Used together with labelled CT data from NAIST to study domain shift and federated learning feasibility.&lt;/p&gt;</description></item><item><title>Neonatal Ultra-Low-Field / High-Field MRI Dataset</title><link>https://albarqouni.github.io/datasets/neonatal-ulf-mri/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://albarqouni.github.io/datasets/neonatal-ulf-mri/</guid><description>&lt;p&gt;Curated with the Department of Experimental Neonatology, University Hospital Bonn. Basis of MRIQT, a physics-aware 3D diffusion model for image-quality transfer; expert clinicians rated 85% of generated images as diagnostically useful.&lt;/p&gt;</description></item><item><title>Pancreatic Ductal Adenocarcinoma Multi-Center CT Dataset</title><link>https://albarqouni.github.io/datasets/pdac-ct/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://albarqouni.github.io/datasets/pdac-ct/</guid><description>&lt;p&gt;Partners: Patrick Kupczyk (Radiology) and Alexander Semaan (Surgery), University Hospital Bonn, with Charité – Universitätsmedizin Berlin and UMG Göttingen. Harmonised across sites with a federated evaluation setup, so that data never leave the hospitals.&lt;/p&gt;</description></item><item><title>Prostate MRI Dataset with MR Fingerprinting</title><link>https://albarqouni.github.io/datasets/prostate-mri-mrf/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://albarqouni.github.io/datasets/prostate-mri-mrf/</guid><description>&lt;p&gt;Curated with Dr. Barbara Wichtmann and Prof. Julian Luetkens (Radiology, UKB); extended with an external cohort from the Peter MacCallum Cancer Centre, Melbourne, and public data (PI-CAI).&lt;/p&gt;</description></item><item><title>Retinal Fundus Image Dataset</title><link>https://albarqouni.github.io/datasets/retinal-fundus/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://albarqouni.github.io/datasets/retinal-fundus/</guid><description>&lt;p&gt;International collaboration with Dr. Said El Shamieh (Beirut Arab University, Lebanon). Harmonisation, label mapping and bias/generalisation evaluation protocols led by our lab.&lt;/p&gt;</description></item></channel></rss>