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ORCIDShuyue Guan 0001
Person information
- affiliation (PhD 2022): George Washington University (GWU), Washington, DC USA
Other persons with the same name
- Shuyue Guan 0002 — Chongqing Jiaotong University, Institute of Information Science and Engineering, China
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Journal Articles
- 2023
[j4]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: 106579 (2023)- 2022
- [j3]Shuyue Guan, Murray H. Loew:
A novel intrinsic measure of data separability. Appl. Intell. 52(15): 17734-17750 (2022) - [j2]Shuyue Guan, Murray H. Loew:
A Distance-based Separability Measure for Internal Cluster Validation. Int. J. Artif. Intell. Tools 31(7): 2260005:1-2260005:23 (2022) - 2021
- [j1]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): 13921-13936 (2021)
Conference and Workshop Papers
- 2024
- [c17]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: 77-80 - 2023
- [c16]Shuyue Guan, Murray H. Loew:
The training accuracy of two-layer neural networks: its estimation and understanding using random datasets. AIPR 2023: 1-9 - [c15]Shuyue Guan, Ravi K. Samala, Arian Arab, Weijie Chen:
MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors. Computer-Aided Diagnosis 2023 - [c14]Arian Arab, Victor Garcia, Shuyue Guan, Brandon D. Gallas, Berkman Sahiner, Nicholas Petrick, Weijie Chen:
Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images. Digital and Computational Pathology 2023 - 2022
- [c13]Shuyue Guan, Ravi K. Samala, Weijie Chen:
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. AIPR 2022: 1-8 - [c12]Ange Lou, Shuyue Guan, Hanseok Ko, Murray H. Loew:
CaraNet: context axial reverse attention network for segmentation of small medical objects. Image Processing 2022 - 2021
- [c11]Shuyue Guan, Murray H. Loew:
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers. AIPR 2021: 1-8 - [c10]Ange Lou, Shuyue Guan, Murray H. Loew:
DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation. Image Processing 2021 - 2020
- [c9]Shuyue Guan, Murray H. Loew:
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. AIPR 2020: 1-7 - [c8]Shuyue Guan, Murray H. Loew:
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. ICMLA 2020: 101-106 - [c7]Shuyue Guan, Murray H. Loew:
An Internal Cluster Validity Index Using a Distance-based Separability Measure. ICTAI 2020: 827-834 - 2019
- [c6]Shuyue Guan, Murray H. Loew:
Evaluation of Generative Adversarial Network Performance Based on Direct Analysis of Generated Images. AIPR 2019: 1-5 - [c5]Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew:
Segmentation of Infrared Breast Images Using MultiResUnet Neural Networks. AIPR 2019: 1-6 - 2018
- [c4]Shuyue Guan, Nada Kamona, Murray H. Loew:
Segmentation of Thermal Breast Images Using Convolutional and Deconvolutional Neural Networks. AIPR 2018: 1-7 - [c3]Shuyue Guan, Murray H. Loew:
Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks. IWBI 2018: 107180X - [c2]Shuyue Guan, Murray H. Loew, Huda Asfour, Narine Sarvazyan, Narine Muselimyan:
Lesion detection for cardiac ablation from auto-fluorescence hyperspectral images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781O - 2017
- [c1]Shuyue Guan, Murray H. Loew:
Breast Cancer Detection Using Transfer Learning in Convolutional Neural Networks. AIPR 2017: 1-8
Informal and Other Publications
- 2023
- [i16]Aldo Badano, Miguel A. Lago, Elena Sizikova, Jana G. Delfino, Shuyue Guan, Mark A. Anastasio, Berkman Sahiner:
The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts. CoRR abs/2301.08719 (2023) - [i15]Ange Lou, Shuyue Guan, Murray H. Loew:
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. CoRR abs/2301.13366 (2023) - 2022
- [i14]Shuyue Guan, Murray H. Loew:
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers. CoRR abs/2201.02771 (2022) - [i13]Shuyue Guan, Ravi K. Samala, Weijie Chen:
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. CoRR abs/2212.14828 (2022) - 2021
- [i12]Shuyue Guan, Murray H. Loew:
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. CoRR abs/2101.01386 (2021) - [i11]Ange Lou, Shuyue Guan, Murray H. Loew:
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation. CoRR abs/2105.04075 (2021) - [i10]Shuyue Guan, Murray H. Loew:
A Distance-based Separability Measure for Internal Cluster Validation. CoRR abs/2106.09794 (2021) - [i9]Ange Lou, Shuyue Guan, Murray H. Loew:
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. CoRR abs/2108.07368 (2021) - [i8]Shuyue Guan, Murray H. Loew:
A Novel Intrinsic Measure of Data Separability. CoRR abs/2109.05180 (2021) - 2020
- [i7]Shuyue Guan, Murray H. Loew:
Measures to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images. CoRR abs/2002.12345 (2020) - [i6]Shuyue Guan, Murray H. Loew, Hanseok Ko:
Data Separability for Neural Network Classifiers and the Development of a Separability Index. CoRR abs/2005.13120 (2020) - [i5]Ange Lou, Shuyue Guan, Murray H. Loew:
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation. CoRR abs/2006.00414 (2020) - [i4]Shuyue Guan, Murray H. Loew:
An Internal Cluster Validity Index Based on Distance-based Separability Measure. CoRR abs/2009.01328 (2020) - [i3]Shuyue Guan, Murray H. Loew:
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. CoRR abs/2009.07974 (2020) - [i2]Shuyue Guan, Murray H. Loew:
The estimation of training accuracy for two-layer neural networks on random datasets without training. CoRR abs/2010.13380 (2020) - [i1]Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew:
Segmentation of Infrared Breast Images Using MultiResUnet Neural Network. CoRR abs/2011.00376 (2020)
Coauthor Index
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