89 citations
- Simula Research LaboratoryNO3 papers
- UiT The Arctic University of NorwayNO3 papers
- University of OsloNO3 papers
- DNV (Norway)NO2 papers
- Oslo University HospitalNO2 papers
- OsloMet – Oslo Metropolitan UniversityNO1 paper
- Scuola Internazionale Superiore di Studi AvanzatiIT1 paper
- Universidad José Cecilio del ValleHN1 paper
6 papers
Opinion: Revisiting synthetic data classifications from a privacy perspective
Vibeke Binz Vallevik, Serena Elizabeth Marshall, Aleksandar Babic +1
Synthetic data is emerging as a cost-effective solution necessary to meet the increasing data demands of AI development, created either from existing knowledge or derived from real…
Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare
Vibeke Binz Vallevik, Aleksandar Babic, Serena Elizabeth Marshall +7
Ensuring safe adoption of AI tools in healthcare hinges on access to sufficient data for training, testing and validation. In response to privacy concerns and regulatory requiremen…
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
Chengjie Lu, Qinghua Xu, Tao Yue +3
The Cancer Registry of Norway (CRN) collects information on cancer patients by receiving cancer messages from different medical entities (e.g., medical labs, and hospitals) in Norw…
Challenges of Testing an Evolving Cancer Registration Support System in Practice
Christoph Laaber, Tao Yue, Shaukat Ali +2
The Cancer Registry of Norway (CRN) is a public body responsible for capturing and curating cancer patient data histories to provide a unified access to research data and statistic…
Automated Test Generation for Medical Rules Web Services: A Case Study at the Cancer Registry of Norway
Christoph Laaber, Tao Yue, Shaukat Ali +2
The Cancer Registry of Norway (CRN) collects, curates, and manages data related to cancer patients in Norway, supported by an interactive, human-in-the-loop, socio-technical decisi…
Hi-C-constrained physical models of human chromosomes recover functionally-related properties of genome organization
Marco Di Stefano, Jonas Paulsen, Tonje G. Lien +2
Combining genome-wide structural models with phenomenological data is at the forefront of efforts to understand the organizational principles regulating the human genome. Here, we…