Pamela Guevara (0000-0001-9988-400X)

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Pamela Guevara received her B.S. in Electronics Engineering from Universidad de Concepción, Chile in 2001. She then received a Master’s degree in Medical Imaging and a Ph.D. in Physics, both from the Université Paris-Sud, France, in 2007 and 2011, respectively. She developed her graduate theses at the Neurospin Neuroimaging Center, where she started the study and analysis of diffusion MRI data. In 2011 she joined the Department of Electrical Engineering of the Universidad de Concepción, Chile, where she is currently a Full Professor. She leads a Medical Image Analysis group that focuses on developing methods for the study of brain connectivity. She has authored more than 70 journal and conference papers, proposing different methods for the analysis of dMRI tractography, including fiber clustering and segmentation methods. In recent years, she has focused on the study of superficial white matter (SWM) fibers. In particular, she has led the creation of new atlases of SWM bundles and is currently working on the improvement of the segmentation of these bundles, and on its use for diffusion-based cortical parcellations.

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UNIVERSIDAD DE CONCEPCION: CONCEPCION, VIII, CL

PROFESOR TITULAR (DEPARTAMENTO DE INGENIERIA ELECTRICA)

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Pamela Guevara

https://orcid.org/0000-0001-9988-400X

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Employment (7)

UNIVERSIDAD DE CONCEPCION: CONCEPCION, VIII, CL

Universidad de Concepción: Concepción, CL

Universidad de Concepción: Concepción, Biobío, CL

Universidad de Concepción: Concepción, Biobío, CL

Universidad de Concepción: Concepción, Biobío, CL

Motorola Chile: Valparaíso, Valparaíso, CL

Universidad Católica de la Santísima Concepcion Facultad de Ingeniería: Concepcion, Biobío, CL

Education and qualifications (4)

Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN): Buenos Aires, AR

Université Paris-Sud: Orsay, Île-de-France, FR

Universidad de Concepción: Orsay, Île-de-France, FR

Universidad de Concepción: Concepcion, Biobío, CL

Professional activities (2)

IEEE: New York, NY, US

International Society for Medical Information Processing and Analysis (SIPAIM): Bogotá, CO

Funding (14)

A method for multiscale parcellation of the cortex based on structural connectivity with application to functional variability and alteration in different clinical conditions

Sensory and electric brain stimulation for neurorehabilitation: from mechanisms to clinical practice (VIBRAIN)

Chilean National Center for Artificial Intelligence Research (CENIA).

Reading in the classroom for pedagogy students with reading comprehension problems. Reading intervention program and its effect on the generation of inferences: Evidence from electrophysiological and eye movement techniques

Interactive system for language and communication stimulation directed to young children

Methods for tractography-based parcellation of the cortical surface

Chilean Advanced Center for Electrical and Electronics Engineering (AC3E)

Neural Mechanisms of Brain Self-regulation with Brain-Machine Interfaces and Application to Addiction

Transmedia psychoeducational program to improve pharmacological adherence to antihypertensive treatment among elderly people

Interactive system for language and communication stimulation directed to young children

Development of new tools for the study of human brain connectomics

Magnetic resonance imaging technology for aging related diseases: brain, heart and vessels

Development and optimization of tools for the study of human brain anatomical connectivity using high angular resolution diffusion MRI

SIEL: A system for infant interactive stimulation

Works (50 of 88)

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Chatbot for Palliative Care Caregiver (GES 4)

How Does Your Brain Process Words? EEG and ET Co-Registration in a Reading Task Among Chilean University Students

Methodology for Structuring MLE Regulations and Its Automatic Review in Medical Accounts

Patients recovering from COVID-19 who presented with anosmia during their acute episode have behavioral, functional, and structural brain alterations

White Matter Volume and Microstructural Integrity Are Associated with Fatigue in Relapsing Multiple Sclerosis

Fast White Matter Fiber Clustering Using Variational Autoencoder Latent Space

Is DL-based Reconstruction for Fiber Orientation Distribution (FOD) Comparable to MSMT-Based FOD for Fiber Bundle Analysis?

Virtual tissue microstructure reconstruction across species using generative deep learning

Comparison of baseline correction algorithms for in vivo 1H‐MRS

A brief tablet-based intervention benefits linguistic and communicative abilities in toddlers and preschoolers

PhyberSIM: a tool for the generation of ground truth to evaluate brain fiber clustering algorithms

Short fiber bundle filtering and test-retest reproducibility of the Superficial White Matter

Neural correlates in the time course of inferences: costs and benefits for less-skilled readers at the university level

Phybers: a package for brain tractography analysis

Author Correction: Federated learning enables big data for rare cancer boundary detection (Nature Communications, (2022), 13, 1, (7346), 10.1038/s41467-022-33407-5)

Efficient Estimation of Time-Dependent Brain Functional Connectivity Using Anatomical Connectivity Constraints

Comparing White Matter Fiber Bundle Segmentation Methods for Autism Prediction

Gaussian Processes Spectral Kernels Recover Brain Metastable Oscillatory Modes

Multiscale cortical parcellation based on geodesic distance and hierarchical clustering

White Matter Bundles Linked to Cognitive Impairment in Alzheimer’s Patients and Intermediate Stages

Brain volumetric correlates of remotely versus in-person administered symbol digit modalities test in multiple sclerosis

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Machine learning to investigate superficial white matter integrity in early multiple sclerosis

Neural Correlates of Remotely versus In-person Administered Symbol Digit Modalities Test in Multiple Sclerosis

Superficial white matter bundle atlas based on hierarchical fiber clustering over probabilistic tractography data

Efficient estimation of time-dependent functional connectivity using Structural Connectivity constraints

Disentangling the variability of the superficial white matter organization using regional-tractogram-based population stratification

Disruption of conscious access in psychosis is associated with altered structural brain connectivity

Enhanced Automatic Segmentation for Superficial White Matter Fiber Bundles for Probabilistic Tractography Datasets

Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism

Group-Wise Cortical Surface Parcellation Based on Inter-Subject Fiber Clustering

Preface

Study of precentral-postcentral connections on Hcp data using probabilistic tractography and fiber clustering

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

ABrainVis: an android brain image visualization tool