output
20202022
most citedPseudo-CTs from T1-weighted MRI for planning of low-intensity transcranial focused ultrasound neuromodulation: an open-source tool

49 citations

6 papers

q-bio.NC2022★ 1 cited

Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density

Agnes Korcsak-Gorzo, Charl Linssen, Jasper Albers +9

This chapter sheds light on the synaptic organization of the brain from the perspective of computational neuroscience. It provides an introductory overview on how to account for em…

physics.med-ph2022★ 49 cited

Pseudo-CTs from T1-weighted MRI for planning of low-intensity transcranial focused ultrasound neuromodulation: an open-source tool

Siti Nurbaya Yaakub, Tristan A. White, Eric Kerfoot +3

Background: Individual skull models of bone density and geometry are important when planning the expected transcranial ultrasound acoustic field and estimating mechanical and therm…

cs.LG2022★ 9 cited

Click prediction boosting via Bayesian hyperparameter optimization based ensemble learning pipelines

Çağatay Demirel, A. Aylin Tokuç, Ahmet Tezcan Tekin

Online travel agencies (OTA's) advertise their website offers on meta-search bidding engines. The problem of predicting the number of clicks a hotel would receive for a given bid a…

q-bio.NC2022★ 1 cited

The world seems different in a social context: a neural network analysis of human experimental data

Maria Tsfasman, Anja Philippsen, Carlo Mazzola +3

Human perception and behavior are affected by the situational context, in particular during social interactions. A recent study demonstrated that humans perceive visual stimuli dif…

cs.AI2021★ 9 cited

Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles

Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper +2

The safety assessment of automated vehicles (AVs) is an important aspect of the development cycle of AVs. A scenario-based assessment approach is accepted by many players in the fi…

math.ST2020★ 5 cited

Exact results on high-dimensional linear regression via statistical physics

Alexander Mozeika, Mansoor Sheikh, Fabian Aguirre-Lopez +2

It is clear that conventional statistical inference protocols need to be revised to deal correctly with the high-dimensional data that are now common. Most recent studies aimed at…