AI for Oncology Lab @ Netherlands Cancer Institute
The mission of the AI for Oncology Lab is to develop artificial intelligence innovations for the improvement of cancer diagnostics and therapy.
Yoni Schirris wins pitch competition
Last week the pre-selected three best candidates from each UvA faculty competed against each other. Yoni Schirris was the overall winner with his pitch on AI and cancer histopathology. He is working to determine which cancer patients may benefit from immunotherapy.
Release of exclusive cross entropy loss code on GitHub
Code accompanying our ICCV paper Sparse-Shot Learning With Exclusive Cross-Entropy for Extremely Many Localisations has been released on GitHub and PyPi.
The research projects of the AI for Oncology Lab
Breast MRI is the most sensitive technique for breast cancer detection available. However, the costs and availability of MRI scanners limit its use. We develop algorithms for the automatic interpretation and acceleration of breast MRI.
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.
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.
Novel AI methodologies for Oncology
AI enables new diagnostic and treatment paradigms. However, its application to oncology brings many questions and challenges. Inspired by the oncological application, we research and develop new AI methodologies.
The people working at the AI for Oncology Lab