This years IWBI, the 17th International Workshop on Breast Imaging, took place in Chicago, USA, from 9-12 June. Technical coordinator Oliver Diaz of our European projects RadioVal, EuCanImage and Spanish project FUTURE-ES travelled to the conference to present our most recent work. The first paper presented was a study investigating how stability of radiomics features, […]
Category: NEWS
Presenting on trustworthy AI at IEEE’s ISIVC 2024
This year ISIVC 2024, the International Conference on Signal, Image, Video Processing and Communications, is taking place in Marrakesh, 21-23 May. This year’s theme is “Pushing the limits of multimedia data processing in the saga of Artificial Intelligence”. On 21 May our lab director and ICREA professor Karim Lekadir gave an inspiring keynote address […]
RadioVal’s Technical Coordinator Prof Oliver Diaz presents at ECR
Join us live in Viena or for free online at the European Congress of Radiology. On 3rd March, 11:30-12:30 CET, Prof Oliver Diaz, Technical Coordinator of RadioVal, will be giving a live talk on “AI, real impact: redefining clinical decision making based on medical images.” Join the session online and for free here Find more […]
STAGE: Stay Healthy Through Ageing project kicked off
In the coming decades, a significant demographic shift is anticipated across European regions, with the population aged 75 years and older poised to double by 2050. This demographic trend poses intricate challenges both on a personal and societal level, necessitating comprehensive and adaptable solutions. The ability for individuals to ‘stay healthy through ageing’ is contingent […]
Karim Lekadir, Director of the BCN-AIM lab is awarded ICREA research professor position
We are excited to share that on 1st January 2024 Karim started a new chapter in his career as an ICREA Research Professor at the Universitat de Barcelona. ICREA, Institució Catalana de Recerca i Estudis Avançats, is the Catalan Institution for Research and Advanced Studies, supported by the Government of Catalonia. ICREA’s mission is […]
Enroll now to the new DATAETHICS e-training programme
Over the three years of the project, the DATAETHICS Consortium has developed a novel Open Education Resources (OER) in the form of an online training package comprising four comprehensive courses. The e-courses represent a significant knowledge repository addressing ethical, legal, and societal dimensions in the collection and management of Biomedical Big Data (BBD). This resource […]
ERC Consolidator Grant officially starts in Kenya
I am delighted to report that my ERC Consolidator Grant on Inclusive Artificial Intelligence for Accessible Medical Imaging Across Resource-Limited Settings (AIMIX) started on 01 January 2023. For the kick off meeting, my team and I met amazing and inspiring healthcare workers and researchers in Kenya. We also visited local clinical centres in rural Kenya, […]
BCN-AIM leads DataTools4Heart, a European project on clinical data management to fight against cardiovascular diseases
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, A new European project to clinically validate an artificial intelligence solution for breast cancer treatment planning
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 […]
medigan library: release v1.0.0 – Synthetic data generation
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: […]