Pamela Guevara

NucVerse3D is a deep-learning framework for 3D nuclear instance segmentation across imaging modalities, achieving high accuracy and outperforming existing methods in dense and irregular settings.

The paper investigates how temporoparietal alpha dynamics influence feedback-based updating during social bargaining using a combination of EEG, fMRI, and TMS.

A supervised digital game intervention improved language and communication skills in young children aged 2-5 years.

This study examines the neural correlates of inference time course in university-level less-skilled readers using ERP techniques across three narrative stages.

The paper identifies a deep white-matter pathway linking DHA status to cognitive performance in adolescents using multimodal MRI and Bayesian modeling.

This paper uses a physics-based model of brain networks to show that frequency-selective stimulation entrains specific sub-networks, with lower frequencies promoting broader synchrony and higher frequencies producing localized effects, determined by network structure and oscillatory dynamics.

TiMiGNet reconstructs 3D tissue microstructure across species using GANs, enabling high-resolution predictions without paired images.

The paper introduces a model that efficiently estimates time-dependent brain connectivity using structural connectivity constraints and sparse MAR parameters.

This study investigates superficial white matter microstructure in schizophrenia and bipolar disorder using diffusion weighted imaging, finding altered fractional anisotropy in specific brain regions.