Laura Vilaclara

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Related publications (4)

Emo-film: a Multimodal Dataset for Affective Neuroscience Using Naturalistic Stimuli

Dimitri Nestor Alice Van De Ville, Laura Vilaclara, Stefano Moia, Elenor Morgenroth

The Emo-FilM dataset stands for Emotion research using Films and fMRI in healthy participants. This dataset includes emotion annotations by 44 raters for 14 short films with a combined duration of over 2 1/2 hours and recordings of respiration, heart rate, ...

NATURE PORTFOLIO2025

Probing neurodynamics of experienced emotions-a Hitchhiker's guide to film fMRI

Dimitri Nestor Alice Van De Ville, Laura Vilaclara, Elenor Morgenroth

Film functional magnetic resonance imaging (fMRI) has gained tremendous popularity in many areas of neuroscience. However, affective neuroscience remains somewhat behind in embracing this approach, even though films lend themselves to study how brain funct ...

Oxford Univ Press2023

Impact of aesthetic movie highlights on semantics and emotions: a preliminary analysis

Dimitri Nestor Alice Van De Ville, Laura Vilaclara, Elenor Morgenroth

Aesthetic highlight detection is a challenge for understanding affective processes underlying emotional movie experience. Aesthetic highlights in movies are scenes with aesthetic values and attributes in terms of form and content. Deep understanding of hum ...

Assoc Computing Machinery2022

Region Of Interest X-Ray Computed Tomography Via Corrected Back Projection

Michaël Unser, Laura Vilaclara, Michael Thompson McCann

We present a new method for region of interest (ROI) reconstruction from high-resolution, nontruncated data in parallel-ray X-ray computed tomography (CT). Many of the approaches to ROI CT reconstruction in the literature rely on a costly forward projectio ...

IEEE2018

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