News
Latest updates from the Netherlands Cancer Institute in Artificial Intelligence
ARTIMES 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.
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April 30, 2024
NWO AiNed XS Europe grant awarded to Sara P. Oliveira
The stAINs project aims to explore deep generative models to simulate immuno-staining in breast tissue samples.
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April 17, 2024
Radiology 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.
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April 17, 2024
DIRECT v2.0.0
We've released v2.0.0 of our deep learning-based MRI reconstruction framework DIRECT. This release includes new deep learning models, transforms, loss functions and several performance improvements.
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April 5, 2024
AI, Explanation, and Black Boxes
Our new paper on Artificial intelligence and explanation: How, why, and when to explain black boxes has been published in EJR.
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March 7, 2024
H100 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.
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March 6, 2024
We 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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March 1, 2024
Two papers accepted at CVPR 2024
Our papers "Task-Driven Wavelets using Constrained Empirical Risk Minimization" and "Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms" have been accepted for publication at CVPR 2024.
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Feb. 27, 2024
Radiology AI Lab at ECR 2024!
Amazing news, many of our researchers' abstracts have been accepted at the ECR 2024, organised by the European Society of Radiology! Their works span from the challenges of radiomics to semi-supervised co-learning in breast cancer diagnosis.
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Feb. 20, 2024