45 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
5 papers
Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition
Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou +1
Typical Magnetic Resonance Imaging (MRI) scan may take 20 to 60 minutes. Reducing MRI scan time is beneficial for both patient experience and cost considerations. Accelerated MRI s…
Fluorescence Image Histology Pattern Transformation using Image Style Transfer
Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Xiaochun Zhao +7
Confocal laser endomicroscopy (CLE) allow on-the-fly in vivo intraoperative imaging in a discreet field of view, especially for brain tumors, rather than extracting tissue for exam…
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…
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…