Shuyue Guan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 36

Top Topics

Medical Image Segmentation

Breast Cancer Detection

Cluster Validity Index

Top Venues

Medical Imaging: Image Processing

Publications

Shuyue Guan, Ravi K. Samala, Seyed M. M. Kahaki, Weijie Chen
Restorable Synthesis: Average Synthetic Segmentation Converges to a Polygon Approximation of an Object Contour in Medical Images. SSIAI (2024)
Shuyue Guan, Ravi K. Samala, Arian Arab, Weijie Chen
MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors. Medical Imaging: Computer-Aided Diagnosis (2023)
Ange Lou, Shuyue Guan, Murray H. Loew
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. CoRR (2023)
Ange Lou, Shuyue Guan, Murray H. Loew
CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation. Comput. Biol. Medicine 154 (2023)
Shuyue Guan, Murray H. Loew
The training accuracy of two-layer neural networks: its estimation and understanding using random datasets. AIPR (2023)
Shuyue Guan, Murray H. Loew
A Distance-based Separability Measure for Internal Cluster Validation. Int. J. Artif. Intell. Tools 31 (7) (2022)
Shuyue Guan, Ravi K. Samala, Weijie Chen
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. AIPR (2022)
Ange Lou, Shuyue Guan, Hanseok Ko, Murray H. Loew
CaraNet: context axial reverse attention network for segmentation of small medical objects. Medical Imaging: Image Processing (2022)
Shuyue Guan, Ravi K. Samala, Weijie Chen
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. CoRR (2022)
Shuyue Guan, Murray H. Loew
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers. CoRR (2022)
Shuyue Guan, Murray H. Loew
A novel intrinsic measure of data separability. Appl. Intell. 52 (15) (2022)
Ange Lou, Shuyue Guan, Murray H. Loew
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. CoRR (2021)
Shuyue Guan, Darong Huang, Zhenyuan Zhang
An Optimized Weak Target Recognition Method Based on Transform Domain with Strong Background Noise. CAA SAFEPROCESS (2021)
Shuyue Guan, Murray H. Loew
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers. AIPR (2021)
Shuyue Guan, Murray H. Loew
A Novel Intrinsic Measure of Data Separability. CoRR (2021)
Ange Lou, Shuyue Guan, Murray H. Loew
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation. CoRR (2021)
Ange Lou, Shuyue Guan, Murray H. Loew
DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation. Medical Imaging: Image Processing (2021)
Shuyue Guan, Murray H. Loew
A Distance-based Separability Measure for Internal Cluster Validation. CoRR (2021)
Shuyue Guan, Murray H. Loew
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. CoRR (2021)
Shuyue Guan, Murray H. Loew
A novel measure to evaluate generative adversarial networks based on direct analysis of generated images. Neural Comput. Appl. 33 (20) (2021)
Shuyue Guan, Murray H. Loew, Hanseok Ko
Data Separability for Neural Network Classifiers and the Development of a Separability Index. CoRR (2020)
Shuyue Guan, Murray H. Loew
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. AIPR (2020)
Shuyue Guan, Murray H. Loew
An Internal Cluster Validity Index Based on Distance-based Separability Measure. CoRR (2020)
Shuyue Guan, Murray H. Loew
The estimation of training accuracy for two-layer neural networks on random datasets without training. CoRR (2020)
Shuyue Guan, Murray H. Loew
An Internal Cluster Validity Index Using a Distance-based Separability Measure. ICTAI (2020)
Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew
Segmentation of Infrared Breast Images Using MultiResUnet Neural Network. CoRR (2020)
Shuyue Guan, Murray H. Loew
Measures to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images. CoRR (2020)
Shuyue Guan, Murray H. Loew
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. ICMLA (2020)
Ange Lou, Shuyue Guan, Murray H. Loew
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation. CoRR (2020)
Shuyue Guan, Murray H. Loew
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. CoRR (2020)
Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew
Segmentation of Infrared Breast Images Using MultiResUnet Neural Networks. AIPR (2019)
Shuyue Guan, Murray H. Loew
Evaluation of Generative Adversarial Network Performance Based on Direct Analysis of Generated Images. AIPR (2019)
Shuyue Guan, Murray H. Loew
Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks. IWBI (2018)
Shuyue Guan, Murray H. Loew, Huda Asfour, Narine Sarvazyan, Narine Muselimyan
Lesion detection for cardiac ablation from auto-fluorescence hyperspectral images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Shuyue Guan, Nada Kamona, Murray H. Loew
Segmentation of Thermal Breast Images Using Convolutional and Deconvolutional Neural Networks. AIPR (2018)
Shuyue Guan, Murray H. Loew
Breast Cancer Detection Using Transfer Learning in Convolutional Neural Networks. AIPR (2017)