Breast Cancer Detection Using Transfer Learning in Convolutional Neural Networks. - Shuyue Guan 001; Murray H. Loew (AIPR, 2017)

Segmentation of Thermal Breast Images Using Convolutional and Deconvolutional Neural Networks. - Shuyue Guan 001; Nada Kamona; Murray H. Loew (AIPR, 2018)

Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks. - Shuyue Guan 001; Murray H. Loew (IWBI, 2018)

Lesion detection for cardiac ablation from auto-fluorescence hyperspectral images. - Shuyue Guan 001; Murray H. Loew; Huda Asfour; Narine Sarvazyan; Narine Muselimyan (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Evaluation of Generative Adversarial Network Performance Based on Direct Analysis of Generated Images. - Shuyue Guan 001; Murray H. Loew (AIPR, 2019)

Segmentation of Infrared Breast Images Using MultiResUnet Neural Networks. - Ange Lou; Shuyue Guan 001; Nada Kamona; Murray H. Loew (AIPR, 2019)

Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. - Shuyue Guan 001; Murray H. Loew (AIPR, 2020)

Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. - Shuyue Guan 001; Murray H. Loew (ICMLA, 2020)

An Internal Cluster Validity Index Using a Distance-based Separability Measure. - Shuyue Guan 001; Murray H. Loew (ICTAI, 2020)

Measures to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images. - Shuyue Guan 001; Murray H. Loew (CoRR, 2020)

Data Separability for Neural Network Classifiers and the Development of a Separability Index. - Shuyue Guan 001; Murray H. Loew; Hanseok Ko (CoRR, 2020)

DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation. - Ange Lou; Shuyue Guan 001; Murray H. Loew (CoRR, 2020)

An Internal Cluster Validity Index Based on Distance-based Separability Measure. - Shuyue Guan 001; Murray H. Loew (CoRR, 2020)

The estimation of training accuracy for two-layer neural networks on random datasets without training. - Shuyue Guan 001; Murray H. Loew (CoRR, 2020)

Segmentation of Infrared Breast Images Using MultiResUnet Neural Network. - Ange Lou; Shuyue Guan 001; Nada Kamona; Murray H. Loew (CoRR, 2020)

A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers. - Shuyue Guan 001; Murray H. Loew (AIPR, 2021)

DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation. - Ange Lou; Shuyue Guan 001; Murray H. Loew (Image Processing, 2021)

A novel measure to evaluate generative adversarial networks based on direct analysis of generated images. - Shuyue Guan 001; Murray H. Loew (Neural Comput. Appl., 2021)

Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. - Shuyue Guan 001; Ravi K. Samala; Weijie Chen 007 (AIPR, 2022)

CaraNet: context axial reverse attention network for segmentation of small medical objects. - Ange Lou; Shuyue Guan 001; Hanseok Ko; Murray H. Loew (Image Processing, 2022)

A novel intrinsic measure of data separability. - Shuyue Guan 001; Murray H. Loew (Appl. Intell., 2022)

A Distance-based Separability Measure for Internal Cluster Validation. - Shuyue Guan 001; Murray H. Loew (Int. J. Artif. Intell. Tools, 2022)

The training accuracy of two-layer neural networks: its estimation and understanding using random datasets. - Shuyue Guan 001; Murray H. Loew (AIPR, 2023)

MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors. - Shuyue Guan 001; Ravi K. Samala; Arian Arab; Weijie Chen 007 (Computer-Aided Diagnosis, 2023)

Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images. - Arian Arab; Victor Garcia; Shuyue Guan 001; Brandon D. Gallas; Berkman Sahiner; Nicholas Petrick; Weijie Chen 007 (Digital and Computational Pathology, 2023)

The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts. - Aldo Badano; Miguel A. Lago; Elena Sizikova; Jana G. Delfino; Shuyue Guan 001; Mark A. Anastasio; Berkman Sahiner (CoRR, 2023)

CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. - Ange Lou; Shuyue Guan 001; Murray H. Loew (CoRR, 2023)

CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation. - Ange Lou; Shuyue Guan 001; Murray H. Loew (Comput. Biol. Medicine, 2023)

Restorable Synthesis: Average Synthetic Segmentation Converges to a Polygon Approximation of an Object Contour in Medical Images. - Shuyue Guan 001; Ravi K. Samala; Seyed M. M. Kahaki; Weijie Chen 007 (SSIAI, 2024)