output
20172026
most citedPrediction of final infarct volume from native CT perfusion and treatment parameters using deep learning

93 citations

8 papers

eess.SP2026

Eccentricity Confound in EEG-based Visual Attention Decoding from Gaze-Fixated Neural Tracking of Motion in Natural Videos

Yuanyuan Yao, Celina Salamanca Gonzalez, Simon Geirnaert +3

Objective. Decoding visual attention from brain signals during naturalistic video viewing has emerged as a new direction in brain-computer interface research. Current methods assum…

cs.CV2024

Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks

Yuyan Zhang, Derya Soydaner, Lisa Koßmann +2

The human brain has an inherent ability to fill in gaps to perceive figures as complete wholes, even when parts are missing or fragmented. This phenomenon is known as Closure in ps…

cs.LG2023★ 12 cited

Unveiling The Factors of Aesthetic Preferences with Explainable AI

Derya Soydaner, Johan Wagemans

The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspectiv…

q-bio.OT2021★ 63 cited

QUAREP-LiMi: A community-driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy

Glyn Nelson, Ulrike Boehm, Steve Bagley +97

In April 2020, the QUality Assessment and REProducibility for Instruments and Images in Light Microscopy (QUAREP-LiMi) initiative was formed. This initiative comprises imaging scie…

q-bio.NC2019★ 6 cited

Correlation transfer by layer 5 cortical neurons under recreated synaptic inputs in vitro

Daniele Linaro, Gabriel K. Ocker, Brent Doiron +1

Correlated electrical activity in neurons is a prominent characteristic of cortical microcircuits. Despite a growing amount of evidence concerning both spike-count and subthreshold…

q-bio.NC2019★ 1 cited

Characterizing the nonlinear structure of shared variability in cortical neuron populations using latent variable models

Matthew R Whiteway, Karolina Socha, Vincent Bonin +1

Sensory neurons often have variable responses to repeated presentations of the same stimulus, which can significantly degrade the stimulus information contained in those responses.…

cs.CV2018★ 93 cited

Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning

David Robben, Anna M. M. Boers, Henk A. Marquering +9

CT Perfusion (CTP) imaging has gained importance in the diagnosis of acute stroke. Conventional perfusion analysis performs a deconvolution of the measurements and thresholds the p…

q-bio.MN2017★ 7 cited

Translating ceRNA susceptibilities into correlation functions

Araks Martirosyan, Matteo Marsili, Andrea De Martino

Competition to bind microRNAs induces an effective positive crosstalk between their targets, therefore known as `competing endogenous RNAs' or ceRNAs. While such an effect is known…