58 citations
3 papers
eess.IV2024★ 1 cited
Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification
Ben Philps, Maria del C. Valdes Hernandez, Chen Qin +8
White Matter Hyperintensities (WMH) are key neuroradiological markers of small vessel disease present in brain MRI. Assessment of WMH is important in research and clinics. However,…
eess.SP2024★ 8 cited
Preictal Period Optimization for Deep Learning-Based Epileptic Seizure Prediction
Petros Koutsouvelis, Bartlomiej Chybowski, Alfredo Gonzalez-Sulser +2
Accurate prediction of epileptic seizures could prove critical for improving patient safety and quality of life in drug-resistant epilepsy. Although deep learning-based approaches…
q-bio.MN2012★ 58 cited
Digital clocks: simple Boolean models can quantitatively describe circadian systems
Ozgur Akman, Steven Watterson, Andrew Parton +3
The gene networks that comprise the circadian clock modulate biological function across a range of scales, from gene expression to performance and adaptive behaviour. The clock fun…