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; Jennifer Eschbacher; Peter Nakaji; Yezhou Yang; Mark C. Preul (Computer-Aided Diagnosis, 2017)

Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization. - Mohammadhassan Izadyyazdanabadi; Evgenii Belykh; Michael Mooney; Nikolay Martirosyan; Jennifer Eschbacher; Peter Nakaji; Mark C. Preul; Yezhou Yang (CoRR, 2017)

Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images. - Mohammadhassan Izadyyazdanabadi; Evgenii Belykh; Claudio Cavallo; Xiaochun Zhao; Sirin Gandhi; Leandro Borba Moreira; Jennifer Eschbacher; Peter Nakaji; Mark C. Preul; Yezhou Yang (MICCAI (2), 2018)

Prospects for Theranostics in Neurosurgical Technology: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning. - Mohammadhassan Izadyyazdanabadi; Evgenii Belykh; Michael Mooney; Jennifer Eschbacher; Peter Nakaji; Yezhou Yang; Mark C. Preul (CoRR, 2018)

Convolutional neural networks: Ensemble modeling, fine-tuning and unsupervised semantic localization for neurosurgical CLE images. - Mohammadhassan Izadyyazdanabadi; Evgenii Belykh; Michael Mooney; Nikolay Martirosyan; Jennifer Eschbacher; Peter Nakaji; Mark C. Preul; Yezhou Yang (J. Vis. Commun. Image Represent., 2018)

Fluorescence Image Histology Pattern Transformation using Image Style Transfer. - Mohammadhassan Izadyyazdanabadi; Evgenii Belykh; Xiaochun Zhao; Leandro Borba Moreira; Sirin Gandhi; Claudio Cavallo; Jennifer Eschbacher; Peter Nakaji; Mark C. Preul; Yezhou Yang (CoRR, 2019)

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm. - Lujia Wang 002; Hairong Wang; Fulvio D'Angelo; Lee Curtin; Christopher P. Sereduk; Gustavo De Leon; Kyle W. Singleton; Javier Urcuyo; Andrea Hawkins-Daarud; Pamela R. Jackson; Chandan Krishna; Richard S. Zimmerman; et al. (CoRR, 2024)