News
Latest updates from the Radiology AI Lab
Radiology AI Lab at ESOI 2024!
We are proud to announce that our lab will be at ESOI - European Society of Oncologic Imaging 2024!
Read moreRadiology AI Lab at MICCAI 2024 Workshops!
We have four papers accepted at MICCAI - Medical Image Computing and Computed Assisted Intervention 2024 Workshops!
Read moreRadiology AI Lab at ESMO 2024!
We are proud to announce that our lab will be at ESMO - European Society for Medical Oncology Congress 2024!
Read moreKOFL travel fellowship awarded to Corentin Guérendel
Our PhD student Corentin Guérendel has won the KOFL travel fellowship from GROW - Research Institute for Oncology and Reproduction and Kankeronderzoekfonds Limburg.
Read moreRadiology AI Lab at Alpe d'Huez to raise funds for cancer research
One week ago 4 of our researchers, together with other 70 colleagues from The Netherlands Cancer Institute, cycled and walked to the top of the Alpe d'Huez with one main goal: raise funds for cancer research.
Read moreRadiology AI Lab at ESGAR 2024!
We attended the 35th Annual Meeting of the European Society of Gastrointestinal and Abdominal Radiology (ESGAR), where we had the opportunity to present our research projects.
Read moreARTIMES is in the last number of Antoni, the official NKI magazine!
We are featured in the last number of Antoni, the official magazine of Antoni van Leeuwenhoek hospital! The latest issue features an article on Kevin Groot Lipman's PhD project, ARTIMES.
Read moreRadiology AI Lab at EMBC 2024!
We have three papers accepted at EMBC 2024! These works focus on the impact of federated learning, differential privacy and on methods to increase generalizability and interpretability in AI.
Read moreH100 server joins our AI cluster
We have added Herakles, a server with 8xH100 SXM5 GPUs, to our Kosmos cluster. This will allow us to scale our AI models significantly.
Read moreWe are at ESMO Sarcoma and Rare Cancers Congress 2024!
We have two abstracts accepted at ESMO Sarcoma and Rare Cancers Congress 2024! These works focus on automatically assessing response-to-treatment, respectively, in neuroendocrine tumours and in soft tissue sarcoma.
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