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Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization
Over the last decade there has been an extensive evolution in the Artificial Intelligence (AI)
field. Modern radiation oncology is based on the exploitation of advanced computational …
field. Modern radiation oncology is based on the exploitation of advanced computational …
[PDF][PDF] Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
Integrated preclinical multimodal imaging systems, such as X-ray computed tomography
(CT) combined with positron emission tomography (PET) or magnetic resonance imaging …
(CT) combined with positron emission tomography (PET) or magnetic resonance imaging …
MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation
Automated curation of noisy external data in the medical domain has long been in high
demand, as AI technologies need to be validated using various sources with clean …
demand, as AI technologies need to be validated using various sources with clean …
Design of a joint research data platform: A use case for severity assessment
Severity assessment in animal models is a data-driven process. We therefore present a use
case for building a repository for interlaboratory collaboration with the potential of uploading …
case for building a repository for interlaboratory collaboration with the potential of uploading …