Výsledky vyhledávání - "Iglesias, A. E."

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PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

Autor: Liu, Peirong, Puonti, Oula, Sorby-Adams, Annabel, Kimberly, William T., Iglesias, Juan E.

Remarkable progress has been made by data-driven machine-learning methods in the analysis of MRI scans. However, most existing MRI analysis approaches are crafted for specific MR pulse sequences (MR contrasts) and usually require nearly isotropic acq

Externí odkaz: http://arxiv.org/abs/2403.06227

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Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

Autor: Liu, Peirong, Puonti, Oula, Hu, Xiaoling, Alexander, Daniel C., Iglesias, Juan E.

Recent learning-based approaches have made astonishing advances in calibrated medical imaging like computerized tomography (CT), yet they struggle to generalize in uncalibrated modalities -- notably magnetic resonance (MR) imaging, where performance

Externí odkaz: http://arxiv.org/abs/2311.16914

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Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets

Autor: Billot, Benjamin, Magdamo, Colin, Cheng, You, Arnold, Steven E., Das, Sudeshna, Iglesias, Juan. E.

Every year, millions of brain MRI scans are acquired in hospitals, which is a figure considerably larger than the size of any research dataset. Therefore, the ability to analyse such scans could transform neuroimaging research. Yet, their potential r

Externí odkaz: http://arxiv.org/abs/2209.02032

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Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining

Autor: Billot, Benjamin, Colin, Magdamo, Arnold, Sean E., Das, Sudeshna, Iglesias, Juan. E.

Retrospective analysis of brain MRI scans acquired in the clinic has the potential to enable neuroimaging studies with sample sizes much larger than those found in research datasets. However, analysing such clinical images "in the wild" is challengin

Externí odkaz: http://arxiv.org/abs/2203.01969

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Valley-driven Zitterbewegung in Kekul\'e-distorted graphene

Autor: Santacruz, Alex, Iglesias, Priscilla E., Carrillo-Bastos, Ramon, Mireles, Francisco

Publikováno v: Phys. Rev. B 105, 205405, 2 May 2022

Graphene deposited on top of a Copper(111) substrate may develop a Y-shaped Kekul\'e bond texture (Kekul\'e-Y), locking the momentum of its Dirac fermions with its valley degree of freedom. As a consequence, the valley degeneracy of its band structur

Externí odkaz: http://arxiv.org/abs/2112.07845

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