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AI for Oncology Lab @ The Netherlands Cancer Institute
Our mission is to develop artificial intelligence innovations for the improvement of cancer diagnostics and therapy
Latest news
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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!
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AiNed 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.
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Letter 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.
Read moreResearch
The research projects of the AI for Oncology Lab
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Breast image analysis
We develop deep learning techniques to enhance the capabilities of breast imaging including digital breast tomosynthesis, mammography and dynamic contrast-enhanced breast MRI
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Image reconstruction
Medical imaging is the cornerstone of modern medicine. We build deep learning algorithms to reconstruct the measured machine data to an image of the patient anatomy.
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Immunology
Our AI research in immunology investigates interactions between T-cell receptors and peptides, and fundamental steps in the development of personalized cancer vaccines.
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Immunotherapy outcome prediction
Immunotherapy is a systemic cancer treatment that exploits the power of the body’s immune system to fight cancer cells by boosting the immune response. We develop algorithms to predict immunotherapy outcomes.
Read morePeople
The people working at the AI for Oncology Lab