| CaraNet: context axial reverse attention network for segmentation of small medical objects A Lou, S Guan, M Loew Journal of Medical Imaging 10 (1), 014005-014005, 2023 | 255 | 2023 |
| DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation A Lou, S Guan, MH Loew Medical Imaging 2021: Image Processing 11596, 115962T, 2021 | 212 | 2021 |
| Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks S Guan, M Loew Journal of Medical Imaging 6 (3), 031411-031411, 2019 | 116 | 2019 |
| Breast cancer detection using transfer learning in convolutional neural networks S Guan, M Loew 2017 IEEE applied imagery pattern recognition workshop (AIPR), 1-8, 2017 | 97 | 2017 |
| Cfpnet-m: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation A Lou, S Guan, M Loew Computers in Biology and Medicine 154, 106579, 2023 | 63 | 2023 |
| Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary S Guan, M Loew 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 39 | 2020 |
| A Novel Intrinsic Measure of Data Separability S Guan, M Loew Applied Intelligence, 2022 | 32* | 2022 |
| Evaluation of generative adversarial network performance based on direct analysis of generated images S Guan, M Loew 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-5, 2019 | 32* | 2019 |
| A Distance-based Separability Measure for Internal Cluster Validation S Guan, M Loew INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS 31 (07), 2260005, 2022 | 25* | 2022 |
| Segmentation of thermal breast images using convolutional and deconvolutional neural networks S Guan, N Kamona, M Loew 2018 IEEE applied imagery pattern recognition workshop (AIPR), 1-7, 2018 | 25 | 2018 |
| Using generative adversarial networks and transfer learning for breast cancer detection by convolutional neural networks S Guan, M Loew Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019 | 20 | 2019 |
| The stochastic digital human is now enrolling for in silico imaging trials—methods and tools for generating digital cohorts A Badano, MA Lago, E Sizikova, JG Delfino, S Guan, MA Anastasio, ... Progress in Biomedical Engineering 5 (4), 042002, 2023 | 15 | 2023 |
| Application of unsupervised learning to hyperspectral imaging of cardiac ablation lesions S Guan, H Asfour, N Sarvazyan, M Loew Journal of Medical Imaging 5 (4), 046003-046003, 2018 | 15 | 2018 |
| Segmentation of infrared breast images using multiresunet neural networks A Lou, S Guan, N Kamona, M Loew 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6, 2019 | 14 | 2019 |
| Optimization of wavelength selection for multispectral image acquisition: a case study of atrial ablation lesions H Asfour, S Guan, N Muselimyan, L Swift, M Loew, N Sarvazyan Biomedical Optics Express 9 (5), 2189-2204, 2018 | 14 | 2018 |
| A novel measure to evaluate generative adversarial networks based on direct analysis of generated images S Guan, M Loew Neural Computing and Applications 33, 13921–13936, 2021 | 13 | 2021 |
| Wood defects recognition based on fuzzy bp neural network H Mu, M Zhang, D Qi, S Guan, H Ni Int. J. Smart Home 9, 143-152, 2015 | 8 | 2015 |
| Understanding the ability of deep neural networks to count connected components in images S Guan, M Loew 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2020 | 6 | 2020 |
| Multifractal Analysis of Blockboard X-Ray Images for the Defect Detection S Guan, D Qi Advances in Information Sciences and Service Sciences, AICIT 4 (18), 149-156, 2012 | 5 | 2012 |
| A sneak attack on segmentation of medical images using deep neural network classifiers S Guan, M Loew 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2021 | 3 | 2021 |
Murray LoewGeorge Washington University在 email.gwu.edu 的电子邮件经过验证