Publicaciones
Publicaciones Asociadas
Este laboratorio virtual implementa los hallazgos descritos en los siguientes estudios.
Artículos y Conferencias
- Tumor-Masked Structural Connectomics Reveals Tract-Specific White Matter Disruption Associated with Glioma Aggressiveness: An Explainable Machine Learning Pilot Study
Franco, P., Montalba, C., Espinoza, I., Cornejo, M. D., Torres, F., Bennett, C., Chabert, S., Salas, R.
Neuroradiology (2026) Aceptado para publicación - Beyond Binary Classification: A Pilot Study of Imaging-Derived Glioma Severity Modeling Using T1-Weighted and Diffusion MRI Radiomics
Franco, P., Montalba, C., Caulier-Cisterna, R., Espinoza, I., Cornejo, M. D., Torres, F., Bennett, C., Chabert, S., Salas, R.
MAGMA (2026) - Unsupervised Manifold Mapping of Connectomic Fragility in Glioma: Simulating Global Efficiency Decay and Lobar Vulnerability
Franco, P., Montalba, C., Espinoza, I., Cornejo, M. D., Chabert, S., Torres, F., Bennett, C., & Salas, R.
JCC 2026 Workshop Chileno Sobre Reconocimiento de Patrones — Jornadas Chilenas de Computación (Aceptado) - Viabilidad de la conectómica estructural con enmascaramiento tumoral y aprendizaje automático explicable para evaluar alteraciones de la sustancia blanca en gliomas: un estudio piloto
Cuevas, A., Montalba, C., Espinoza, I., Cornejo, M. D., Torres, F., Bennett, C., Chabert, S., Salas, R., & Franco, P.
CChR 2026 Presentación Oral (Id #2280) — Congreso Chileno de Radiología - Feasibility of Tumor-Masked Structural Connectomics and Explainable Machine Learning for Assessing White Matter Disruption in Gliomas: A Pilot Study
Montalba, C., Espinoza, I., Cornejo, M. D., Torres, F., Bennett, C., Chabert, S., Salas, R., & Franco, P.
ESMRMB 2026 Lightning Talk (Abstract #54477) — European Society for Magnetic Resonance in Medicine and Biology
GliMR Meeting Incluido en Selected abstract presentations (PG185), Sesión S4: "GliMR: where we stand and new challenges"Ver Proceedings en Springer (MAGMA) Código

Figura 1: Reconstrucción tridimensional mediante tensores de difusión (DTI) y tractografía de fibras de sustancia blanca en un paciente, junto a la segmentación del glioma (en rojo). - Radiomic Glioma Grading Using T1-weighted MRI vs. Diffusion Tensor Metrics: A Proof-of-Concept Comparative Analysis with Explainable Machine Learning
Franco, P., Montalba, C. B., Caulier-Cisterna, R., Espinoza, I., Cornejo, M. D., Torres, F., Bennett, C., Chabert, S., Salas, R.
ICPRS 2025 15th IEEE International Conference on Pattern Recognition Systems - Explainable machine learning models for radiomic-based assessment of glioma severity using multiparametric MRI (Abstract #215)
Franco, P., Montalba, C., Caulier-Cisterna, R., Espinoza, I., Bennet, C., Torres, F., Chabert, S., & Salas, R.
ESMRMB 2025 Lightning Talk (Abstract #46748)
Citas (BibTeX)
Si utilizas este código o los hallazgos para tu investigación, por favor cita los siguientes trabajos:
Haz clic aquí para desplegar las citas en formato BibTeX
@article{franco2026quantifying,
title={Tumor-Masked Structural Connectomics Reveals Tract-Specific White Matter Disruption Associated with Glioma Aggressiveness: An Explainable Machine Learning Pilot Study},
author={Franco, Pamela and Montalba, Cristian and Espinoza, Ignacio and Cornejo, M. Daniela and Torres, Francisco and Bennett, Carlos and Chabert, Steren and Salas, Rodrigo},
journal={Neuroradiology},
year={2026},
note={Accepted for publication}
}
@article{Franco2026Glioma,
title={Beyond Binary Classification: A Pilot Study of Imaging-Derived Glioma Severity Modeling Using T1-Weighted and Diffusion MRI Radiomics},
author={Franco, Pamela and Montalba, Cristian and Caulier-Cisterna, Raúl and Espinoza, Ignacio and Cornejo, M. Daniela and others},
journal={Magnetic Resonance Materials in Physics, Biology and Medicine (MAGMA)},
year={2026},
doi={10.1007/s10334-026-01346-7}
}
@inproceedings{Franco2026JCC,
title={Unsupervised Manifold Mapping of Connectomic Fragility in Glioma: Simulating Global Efficiency Decay and Lobar Vulnerability},
author={Franco, Pamela and Montalba, Cristian and Espinoza, Ignacio and Cornejo, M. Daniela and Chabert, Steren and Torres, Francisco and Bennett, Carlos and Salas, Rodrigo},
booktitle={Workshop Chileno Sobre Reconocimiento de Patrones, Jornadas Chilenas de Computaci{\'o}n (JCC 2026)},
year={2026},
note={Aceptado para presentaci{\'o}n}
}
@inproceedings{cuevas2026viabilidad,
title={Viabilidad de la conect{\'o}mica estructural con enmascaramiento tumoral y aprendizaje autom{\'a}tico explicable para evaluar alterations de la sustancia blanca en gliomas: un estudio piloto},
author={Cuevas, Alexandra and Montalba, Cristian and Espinoza, Ignacio and Cornejo, M. Daniela and Torres, Francisco and Bennett, Carlos and Chabert, Steren and Salas, Rodrigo and Franco, Pamela},
booktitle={Congreso Chileno de Radiolog{\'i}a (CChR 2026)},
year={2026},
note={Presentaci{\'o}n Oral, Id \#2280}
}
@inproceedings{montalba2026feasibility,
title={Feasibility of Tumor-Masked Structural Connectomics and Explainable Machine Learning for Assessing White Matter Disruption in Gliomas: A Pilot Study},
author={Montalba, Cristian and Espinoza, Ignacio and Cornejo, M. Daniela and Torres, Francisco and Bennett, Carlos and Chabert, Steren and Salas, Rodrigo and Franco, Pamela},
booktitle={Proceedings of the 42nd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2026)},
journal={Magnetic Resonance Materials in Physics, Biology and Medicine (MAGMA)},
year={2026},
address={Girona, Spain},
note={Lightning Talk D24 - LTD2-3, Session PG185, Abstract \#54477. Selected abstract presentation in GliMR Session S4: GliMR: where we stand and new challenges},
url={https://link.springer.com/journal/10334}
}
@inproceedings{Franco2025ICPRS,
title={Radiomic Glioma Grading Using T1-weighted MRI vs. Diffusion Tensor Metrics: A Proof-of-Concept Comparative Analysis with Explainable Machine Learning},
author={Franco, Pamela and Montalba, Cristian Beethet and Caulier-Cisterna, Raúl and Espinoza, Ignacio and Cornejo, M. Daniela and others},
booktitle={2025 15th IEEE International Conference on Pattern Recognition Systems (ICPRS)},
pages={1--7},
year={2025},
publisher={IEEE},
doi={10.1109/ICPRS64124.2025.11302837}
}
@article{Franco2025ESMRMB,
title={Explainable machine learning models for radiomic-based assessment of glioma severity using multiparametric MRI (Abstract \#215)},
author={Franco, Pamela and Montalba, Cristian and Caulier-Cisterna, Raúl and Espinoza, Ignacio and Bennet, Carlos and Torres, Francisco and Chabert, Steren and Salas, Rodrigo},
journal={Magnetic Resonance Materials in Physics, Biology and Medicine},
volume={38},
number={1},
pages={201--202},
year={2025},
publisher={Springer},
doi={10.1007/s10334-025-01278-8}
}