Shuyue Guan - RankMe

38 papers B 3C 1Journal 20Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Restorable Segmentation Synthesis Using Fourier Descriptors. AIPR Shuyue Guan, Weijie Chen
2024	—	`conf`	Restorable Synthesis: Average Synthetic Segmentation Converges to a Polygon Approximation of an Object Contour in Medical Images. SSIAI Shuyue Guan, Ravi K. Samala, Seyed M. M. Kahaki, Weijie Chen
2023	J	`jnl`	CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation. Comput. Biol. Medicine Ange Lou, Shuyue Guan, Murray H. Loew
2023	J	`jnl`	CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. CoRR Ange Lou, Shuyue Guan, Murray H. Loew
2023	—	`conf`	Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images. Digital and Computational Pathology Arian Arab, Victor Garcia, Shuyue Guan, Brandon D. Gallas, Berkman Sahiner, Nicholas Petrick, Weijie Chen
2023	—	`conf`	MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors. Computer-Aided Diagnosis Shuyue Guan, Ravi K. Samala, Arian Arab, Weijie Chen
2023	J	`jnl`	The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts. CoRR Aldo Badano, Miguel A. Lago, Elena Sizikova, Jana G. Delfino, Shuyue Guan, Mark A. Anastasio, Berkman Sahiner
2023	—	`conf`	The training accuracy of two-layer neural networks: its estimation and understanding using random datasets. AIPR Shuyue Guan, Murray H. Loew
2022	J	`jnl`	A Distance-based Separability Measure for Internal Cluster Validation. Int. J. Artif. Intell. Tools Shuyue Guan, Murray H. Loew
2022	J	`jnl`	A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers. CoRR Shuyue Guan, Murray H. Loew
2022	J	`jnl`	A novel intrinsic measure of data separability. Appl. Intell. Shuyue Guan, Murray H. Loew
2022	B	`conf`	CaraNet: context axial reverse attention network for segmentation of small medical objects. Image Processing Ange Lou, Shuyue Guan, Hanseok Ko, Murray H. Loew
2022	—	`conf`	Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. AIPR Shuyue Guan, Ravi K. Samala, Weijie Chen
2022	J	`jnl`	Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. CoRR Shuyue Guan, Ravi K. Samala, Weijie Chen
2021	J	`jnl`	A Distance-based Separability Measure for Internal Cluster Validation. CoRR Shuyue Guan, Murray H. Loew
2021	J	`jnl`	A Novel Intrinsic Measure of Data Separability. CoRR Shuyue Guan, Murray H. Loew
2021	—	`conf`	A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers. AIPR Shuyue Guan, Murray H. Loew
2021	J	`jnl`	A novel measure to evaluate generative adversarial networks based on direct analysis of generated images. Neural Comput. Appl. Shuyue Guan, Murray H. Loew
2021	J	`jnl`	CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation. CoRR Ange Lou, Shuyue Guan, Murray H. Loew
2021	J	`jnl`	CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. CoRR Ange Lou, Shuyue Guan, Murray H. Loew
2021	B	`conf`	DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation. Image Processing Ange Lou, Shuyue Guan, Murray H. Loew
2021	J	`jnl`	Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. CoRR Shuyue Guan, Murray H. Loew
2020	J	`jnl`	An Internal Cluster Validity Index Based on Distance-based Separability Measure. CoRR Shuyue Guan, Murray H. Loew
2020	B	`conf`	An Internal Cluster Validity Index Using a Distance-based Separability Measure. ICTAI Shuyue Guan, Murray H. Loew
2020	C	`conf`	Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. ICMLA Shuyue Guan, Murray H. Loew
2020	J	`jnl`	Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. CoRR Shuyue Guan, Murray H. Loew
2020	J	`jnl`	DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation. CoRR Ange Lou, Shuyue Guan, Murray H. Loew
2020	J	`jnl`	Data Separability for Neural Network Classifiers and the Development of a Separability Index. CoRR Shuyue Guan, Murray H. Loew, Hanseok Ko
2020	J	`jnl`	Measures to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images. CoRR Shuyue Guan, Murray H. Loew
2020	J	`jnl`	Segmentation of Infrared Breast Images Using MultiResUnet Neural Network. CoRR Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew
2020	J	`jnl`	The estimation of training accuracy for two-layer neural networks on random datasets without training. CoRR Shuyue Guan, Murray H. Loew
2020	—	`conf`	Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. AIPR Shuyue Guan, Murray H. Loew
2019	—	`conf`	Evaluation of Generative Adversarial Network Performance Based on Direct Analysis of Generated Images. AIPR Shuyue Guan, Murray H. Loew
2019	—	`conf`	Segmentation of Infrared Breast Images Using MultiResUnet Neural Networks. AIPR Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew
2018	—	`conf`	Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks. IWBI Shuyue Guan, Murray H. Loew
2018	—	`conf`	Lesion detection for cardiac ablation from auto-fluorescence hyperspectral images. Biomedical Applications in Molecular, Structural, and Functional Imaging Shuyue Guan, Murray H. Loew, Huda Asfour, Narine Sarvazyan, Narine Muselimyan
2018	—	`conf`	Segmentation of Thermal Breast Images Using Convolutional and Deconvolutional Neural Networks. AIPR Shuyue Guan, Nada Kamona, Murray H. Loew
2017	—	`conf`	Breast Cancer Detection Using Transfer Learning in Convolutional Neural Networks. AIPR Shuyue Guan, Murray H. Loew