45 citations · 63 across the 2 of their papers we have counts for
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cs.CV2018★ 18 cited
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…
cs.CV2017★ 45 cited
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…