FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
K. Lekadir, AF. Frangi, AR. Porras, B. Glocker, C. Cintas, CP. Langlotz, E. Weicken, FW. Asselbergs, F. Prior, GS. Collins, G. Kaissis, G. Tsakou, I. Buvat, J. Kalpathy-Cramer, J. Mongan, JA. Schnabel, K. Kushibar, K. Riklund, K. Marias, LM. Amugongo, LA. Fromont, L. Maier-Hein, L. Cerdá-Alberich, L. Martí-Bonmatí, MJ. Cardoso, M. Bobowicz, M. Shabani, M. Tsiknakis, MA. Zuluaga, MC. Fritzsche, M. Camacho, MG. Linguraru, M. Wenzel, M. De Bruijne, MG. Tolsgaard, M. Goisauf, M. Cano Abadía, N. Papanikolaou, N. Lazrak, O. Pujol, R. Osuala, S. Napel, S. Colantonio, S. Joshi, S. Klein, S. Aussó, WA. Rogers, Z. Salahuddin, MPA. Starmans, FUTURE-AI Consortium. FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare. BMJ, Volume 388, Febraury 5th, 2025, e081554. DOI: https://doi.org/10.1136/bmj-2024-081554
Patients recovering from COVID-19 who presented with anosmia during their acute episode have behavioral, functional, and structural brain alterations.
L. Kausel, A. Figueroa-Vargas, F. Zamorano, X. Stecher, M. Aspé-Sánchez, P. Carvajal-Paredes, V. Márquez-Rodríguez, MP. Martínez-Molina, C. Román, P. Soto-Fernández, G. Valdebenito-Oyarzo, C. Manterola, R. Uribe-San-Martín, C. Silva, R. Henríquez-Ch, F. Aboitiz, R. Polania, P. Guevara, P. Muñoz-Venturelli, P. Soto-Icaza, P. Billeke. Patients recovering from COVID-19 who presented with anosmia during their acute episode have behavioral, functional, and structural brain alterations. Scientific Reports, Volume 14, August 17th, 2024, 19049. DOI: https://doi.org/10.1038/s41598-024-69772-y
Virtual tissue microstructure reconstruction across species using generative deep learning.
N. Bettancourt, C. Pérez, V. Candia, P. Guevara, Y. Kalaidzidis, M. Zerial, F. Segovia-Miranda, H. Morales-Navarrete. Virtual tissue microstructure reconstruction across species using generative deep learning. PLoS One, Volume 19, Issue 7, July 12th, 2024, e0306073. DOI: https://doi.org/10.1371/journal.pone.0306073
Comparison of Baseline Correction Algorithms for in vivo 1H-MRS.
D. Pasmiño, J. Slotboom, B. Schweisthal, P. Guevara, W. Valenzuela, E. Pino. Comparison of Baseline Correction Algorithms for in vivo 1H-MRS. NMR in Biomedicine, Volume 37, Issue 11, July 2nd, 2024, e5203. DOI: https://doi.org/10.1002/nbm.5203
A brief tablet-based intervention benefits linguistic and communicative abilities in toddlers and preschoolers.
M. Peña, C. Vásquez-Venegas, P. Cortés, E. Pittaluga, M. Herrera, EJ. Pino, R. Escobar, G. Dehaene-Lambertz, P. Guevara. A brief tablet-based intervention benefits linguistic and communicative abilities in toddlers and preschoolers. npj Science of Learning, Volume 9, May 30th, 2024, 38. DOI: https://doi.org/10.1038/s41539-024-00249-3
PhyberSIM: a tool for the generation of ground truth to evaluate brain fiber clustering algorithm.
E. Poo, JF. Mangin, C. Poupon, C. Hernández, P. Guevara. PhyberSIM: a tool for the generation of ground truth to evaluate brain fiber clustering algorithm. Frontiers in Neuroscience, Volume 18, May 29th, 2024, 1396518. DOI: https://doi.org/10.3389/fnins.2024.1396518
Is DL-Based Reconstruction for Fiber Orientation Distribution (FOD) Comparable to MSMT-Based FOD for Fiber Bundle Analysis?
N. Vidal, M. Oliveira da Silva, D. Carmo, S. Navarrete, P. Guevara, L. Rittner. Is DL-Based Reconstruction for Fiber Orientation Distribution (FOD) Comparable to MSMT-Based FOD for Fiber Bundle Analysis? 20th International Symposium on Medical Information Processing and Analysis (SIPAIM 2024), 2024. DOI: https://doi.org/10.1109/SIPAIM62974.2024.10783621
How Does Your Brain Process Words? EEG and ET Co-Registration in a Reading Task Among Chilean University Students.
M. Troncoso-Seguel, M. Urrutia, C. Bustos, P. Guevara, E.J. Pino. How Does Your Brain Process Words? EEG and ET Co-Registration in a Reading Task Among Chilean University Students. 20th International Symposium on Medical Information Processing and Analysis (SIPAIM 2024), 2024. DOI: https://doi.org/10.1109/SIPAIM62974.2024.10783604
Fast White Matter Fiber Clustering Using Variational Autoencoder Latent Space.
S. Navarrete, J.-F. Mangin, C. Hernández, P. Guevara. Fast White Matter Fiber Clustering Using Variational Autoencoder Latent Space. 20th International Symposium on Medical Information Processing and Analysis (SIPAIM 2024), 2024. DOI: https://doi.org/10.1109/SIPAIM62974.2024.10783627
Comparing White Matter Fiber Bundle Segmentation Methods for Autism Prediction.
N. Vidal, S. Navarrete, C. Román, J. Houenou, J.-F. Mangin, C. Hernández, P. Guevara. Comparing White Matter Fiber Bundle Segmentation Methods for Autism Prediction. 19th International Symposium on Medical Information Processing and Analysis (SIPAIM 2023), 2023. DOI: https://doi.org/10.1109/SIPAIM56729.2023.10373470
White Matter Bundles Linked to Cognitive Impairment in Alzheimer’s Patients and Intermediate Stages.
C. Román, F. Henríquez, A. Slachevsky, P. Lillo, P. Riquelme, P. Guevara, W. El-Deredy. White Matter Bundles Linked to Cognitive Impairment in Alzheimer’s Patients and Intermediate Stages. 19th International Symposium on Medical Information Processing and Analysis (SIPAIM 2023), 2023. DOI: https://doi.org/10.1109/SIPAIM56729.2023.10373434
Multiscale Cortical Parcellation Based on Geodesic Distance and Hierarchical Clustering.
Y. Prieto, J. Molina, M. Otero, J.-F. Mangin, C. Hernández, W. El-Deredy, P. Guevara. Multiscale Cortical Parcellation Based on Geodesic Distance and Hierarchical Clustering. 19th International Symposium on Medical Information Processing and Analysis (SIPAIM 2023), 2023. DOI: https://doi.org/10.1109/SIPAIM56729.2023.10373421
Support system for upper limb rehabilitation through virtual environments
S. Moyano, P. Guevara. Support system for upper limb rehabilitation through virtual environments. XXIX Congress of Electronics-Electricity (INGELECTRA 2020), online. Award for innovative work and First place in the postgraduate category.
Cortical surface parcellation based on intra-subject white matter fiber clustering
López, N; Vázquez, A; Poupon, C; Mangin, J-F; Guevara P. Cortical surface parcellation based on intra-subject white matter fiber clustering. IEEE CHILECON 2019, Valparaíso, Chile, 2019, 8988066. DOI: https://doi.org/10.1109/CHILECON47746.2019.8988066
Efficient extraction of brain fibers that connect two brain regions
Garrido, S; Kublik C; Guevara, P. Efficient extraction of brain fibers that connect two brain regions. XII Annual Biomedical Engineering Congress, Concepción, Chile, 2019.
Virtual Reality Software for Visualization of Brain Vascularization
Beltrán, F; Guevara, P. Virtual Reality Software for Visualization of Brain Vascularization. XII Annual Biomedical Engineering Congress, Concepción, Chile, 2019.
Inter-Subject Clustering of Brain Fibers from Whole-Brain Tractography
Huerta, I; Vázquez, A; López, N; Guevara, P; Hernández, C. Inter-Subject Clustering of Brain Fibers from Whole-Brain Tractography. XII Congreso Anual de Ingeniería Biomédica, Concepción, Chile, 2019.
Cortical Mesh Parcellation based on Graph Representation of Short Fiber Connections
F. Silva, M. Guevara, C. Poupon, J.-F. Mangin, C. Hernández and P. Guevara. Cortical Mesh Parcellation based on Graph Representation of Short Fiber Connections. XIV IEEE Latin-American Summer School in Computational Intelligence (EVIC 2018), Santiago, Chile, 2018. First place in the paper competition.