309 citations
- Vrije Universiteit AmsterdamNL28 papers
- University of AmsterdamNL6 papers
- Amsterdam NeuroscienceNL5 papers
- Stanford UniversityUS4 papers
- Amsterdam Public HealthNL3 papers
- Amsterdam University of Applied SciencesNL3 papers
- Leiden University Medical CenterNL3 papers
- The University of MelbourneAU3 papers
- University Hospital and ClinicsUS3 papers
- University Medical CenterUS3 papers
- University of CambridgeGB3 papers
- Academic Center for Dentistry AmsterdamNL2 papers
55 papers
Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM Patients
Ana Esponera, Giovanni Cinà
Causal abstraction techniques such as Interchange Intervention Training (IIT) have been proposed to infuse neural network with expert knowledge encoded in causal models, but their…
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation
Patryk Rygiel, Dieuwertje Alblas, Christoph Brune +2
Personalized 3D vascular models can aid in a range of diagnostic, prognostic, and treatment-planning tasks relevant to cardiovascular disease management. Deep learning provides a m…
A First-Order Gradient Approach for the Connectivity Optimization of Markov Chains
Christian P. C. Franssen, Alessandro Zocca, Bernd F. Heidergott
Graphs are commonly used to model various complex systems, including social networks, power grids, transportation networks, and biological systems. In many applications, the connec…
The long-term evolution of the atmosphere of Venus: processes and feedback mechanisms
Cedric Gillmann, M. J. Way, Guillaume Avice +11
This work reviews the long-term evolution of the atmosphere of Venus, and modulation of its composition by interior-exterior cycling. The formation and evolution of Venus's atmosph…
Measurement of the branching fraction of the decay
LHCb collaboration, R. Aaij, C. Abellán Beteta +949
A branching fraction measurement of the decay is presented using proton-proton collision data collected with the LHCb experiment, corresponding to…
TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +8
The TADPOLE Challenge compares the performance of algorithms at predicting the future evolution of individuals at risk of Alzheimer's disease. TADPOLE Challenge participants train…