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Latest updates from the Netherlands Cancer Institute in Artificial Intelligence
Breast cancer risk prediction paper "OA-BreaCR" has been selected for oral presentation at MICCAI 2024
Recently, our paper, Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms has been selected at MICCAI2024 for oral presentation!
Read moreRadiology 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 moreOPTImaL clinical trial gets funded by KWF
The Dutch Cancer Society (KWF) dedicates 4.1 million euros for large-scale international research into forgoing chemotherapy in women with early-stage TNBC.
Read moreAiNed XS grant awarded to Joren Brunekreef
The Dutch Research Council has announced that they have awarded one of their National Growth Fund AiNed-XS grants to Joren Brunekreef, a postdoctoral researcher in the AI for Oncology group.
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 moreLetter to the editor on concerns of data leakage
We have recently submitted a letter to the editor of the Journal of Imaging Informatics in Medicine, and the letter was published online today. In the letter, we raise concerns about potential data leakage in one of the journal's papers on treatment response prediction from MRI data.
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