45 citations
5 papers
Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning
Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Michael Mooney +4
Confocal laser endomicroscopy (CLE) is an advanced optical fluorescence imaging technology that has the potential to increase intraoperative precision, extend resection, and tailor…
Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images
Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo +7
Confocal Laser Endomicroscope (CLE) is a novel handheld fluorescence imaging device that has shown promise for rapid intraoperative diagnosis of brain tumor tissue. Currently CLE i…
Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks
Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Nikolay Martirosyan +4
Confocal laser endomicroscopy (CLE), although capable of obtaining images at cellular resolution during surgery of brain tumors in real time, creates as many non-diagnostic as diag…
Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization for Intraoperative CLE Images
Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Michael Mooney +5
Confocal laser endomicroscopy (CLE) is an advanced optical fluorescence technology undergoing assessment for applications in brain tumor surgery. Despite its promising potential, i…
Axial masses in quasielastic neutrino scattering and single-pion neutrinoproduction on nucleons and nuclei
Konstantin S. Kuzmin, Vladimir V. Lyubushkin, Vadim A. Naumov
We analyse available experimental data on the total charged-current neutrino-nucleon and antineutrino-nucleon cross sections for quasielastic scattering and single-pion neutrinopro…