Category: NEWS

The BCN-AIM lab is leading the European project DataTools4Heart (DT4H), funded with 7.7 million euros, which will work on a platform to be used by several hospitals in Europe. These healthcare centers will share clinical data on the platform and will therefore improve their cardiology care.  This platform will harmonise, standardise and organise health data […]

RadioVal, coordinated by the University of Barcelona – Faculty of Mathematics & Computer Science is the first major multi-centre, multi-continental and multi-disciplinary project to clinically validate an artificial intelligence solution for the prediction of patient-specific response to neoadjuvant chemotherapy in breast cancer, in eight clinical centers across Europe, South America, North Africa and Eurasia. With […]

As part of  EuCanImage project, the BCN-AIM team recently released stable version 1.0.0 of the medigan python library. Using pretrained generators, the library allows to quickly genrate synthetic data that can be used in experiments. Below is a simple example that generates a dataset of e.g. 1000 synthetic polyp images with segmentation marks: Step 1: […]

  Karim Lekadir, Director of BCN-AIM, Ramon y Cajal researcher at the Faculty of Mathematics and Computer Science of the UB, received 2.2 million euros to conduct the research study Inclusive Artificial Intelligence for Accessible Medical Imaging Across Resource-Limited Settings (AIMIX). “The aim of the project is to study how artificial intelligence can adjust to […]

CMR radiomics reveal significant age and gender differences in hear shape and texture features Cardiac magnetic resonance (CMR) radiomics, an innovative image analysis tool developed as part of euCanSHare, detected significant differences in the tissue architecture (i.e., shape and texture) of male and female hearts, according to a new study conducted – among others – […]

Featured image: “Cardiology Services” (CC BY-SA 3.0). Photo credits:Alpha Stock Images. euCanSHare Project Perspectives: interview with the Project Coordinator Karim Lekadir is Director of Artificial Intelligence in Medicine Lab (BCN-AIM) at the Universitat de Barcelona. He holds a PhD from Imperial College London (UK) and was previously a Visiting Scholar at Stanford University (USA). His […]

Image-Based Cardiac Diagnosis With Machine Learning; A Review On 24 January 2020, our partners the University of Barcelona and Queen Mary University of London published – among others – the review article “Image-Based Cardiac Diagnosis With Machine Learning: A Review” on Frontiers in Cardiovascular Medicine. The article, available open access on the publisher’s website, presents […]

Read a blog-post, written by BCN-AIM’s Director; Karim Lekadir, published by our EarlyCause project partners on their blog, Inspirethemind. Karim shares a story about: “Beautiful, healthy minds? Mathematics and mental health beyond the stereotypes” “A beautiful mind” is the title of the critically acclaimed, unauthorized biography of the mathematician John Nash, who famously made great […]

We recently published our work on the repeatability of cardiac magnetic resonance radiomics, with a multi-centre multi-vendor test-retest study, together with our collaborators from the Queen Mary University London. This study investigates a new image analysis toolkit for MRI scans, providing a comprehenvise guide to selecting the most robust features for clinical MRI radiomics models […]

We are delighted to announce that the 27th MICCAI conference in 2024 will take place on the African continent for the first time, specifically in the marvelous city of Marrakesh, Morocco. MICCAI 2024: first time in Marrakesh! We are very excited about the prospect of this first edition of MICCAI in Africa and are very […]