| Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI N Gaw, A Hawkins-Daarud, LS Hu, H Yoon, L Wang, Y Xu, PR Jackson, ... Scientific reports 9 (1), 10063, 2019 | 84 | 2019 |
| Deep residual inception encoder–decoder network for medical imaging synthesis F Gao, T Wu, X Chu, H Yoon, Y Xu, B Patel IEEE journal of biomedical and health informatics 24 (1), 39-49, 2019 | 65 | 2019 |
| AD-NET: Age-adjust neural network for improved MCI to AD conversion prediction F Gao, H Yoon, Y Xu, D Goradia, J Luo, T Wu, Y Su, ... NeuroImage: Clinical 27, 102290, 2020 | 56 | 2020 |
| Improved small blob detection in 3D images using jointly constrained deep learning and Hessian analysis Y Xu, T Wu, F Gao, JR Charlton, KM Bennett Scientific reports 10 (1), 326, 2020 | 44 | 2020 |
| Accurate patient-specific machine learning models of glioblastoma invasion using transfer learning LS Hu, H Yoon, JM Eschbacher, LC Baxter, AC Dueck, A Nespodzany, ... American Journal of Neuroradiology 40 (3), 418-425, 2019 | 38 | 2019 |
| Magnetic resonance imaging accurately tracks kidney pathology and heterogeneity in the transition from acute kidney injury to chronic kidney disease JR Charlton, Y Xu, T Wu, KA deRonde, JL Hughes, S Dutta, GT Oxley, ... Kidney international 99 (1), 173-185, 2021 | 24 | 2021 |
| U-net with optimal thresholding for small blob detection in medical images Y Xu, F Gao, T Wu, KM Bennett, JR Charlton, S Sarkar 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 22 | 2019 |
| Small blob detector using bi-threshold constrained adaptive scales Y Xu, T Wu, JR Charlton, F Gao, KM Bennett IEEE Transactions on Biomedical Engineering 68 (9), 2654-2665, 2020 | 13 | 2020 |
| Image analysis techniques to map pyramids, pyramid structure, glomerular distribution, and pathology in the intact human kidney from 3-D MRI JR Charlton, Y Xu, N Parvin, T Wu, F Gao, EJ Baldelomar, D Morozov, ... American Journal of Physiology-Renal Physiology 321 (3), F293-F304, 2021 | 10 | 2021 |
| Quantitative imaging system for cancer diagnosis and treatment planning: An interdisciplinary approach T Wu, N Gaw, Y Xu, J Li, L Wang, Y Fu, A Silva, C Zwart, M Borad, ... Leading Developments from INFORMS Communities, 153-177, 2017 | 6 | 2017 |
| BlobCUT: A Contrastive Learning Method to Support Small Blob Detection in Medical Imaging T Li, Y Xu, T Wu, JR Charlton, KM Bennett, F Al-Hindawi Bioengineering 10 (12), 1372, 2023 | 3 | 2023 |
| GAN Training Acceleration Using Fréchet Descriptor-Based Coreset Y Xu, T Wu, JR Charlton, KM Bennett Applied Sciences 12 (15), 7599, 2022 | 2 | 2022 |
| EE-SMOTE: An oversampling method in conjunction with information entropy for imbalanced learning J Huang, T Li, Y Xu, T Wu, H Yoon, JR Charlton, KM Bennett IISE Annual Conference and Expo 2022, 2022 | 2 | 2022 |
| Novel Computational Algorithms for Imaging Biomarker Identification Y Xu Arizona State University, 2022 | 2 | 2022 |
| MR efficiency using automated MRI-desktop eProtocol F Gao, Y Xu, A Panda, M Zhang, J Hanson, C Su, T Wu, W Pavlicek, ... Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and …, 2017 | 2 | 2017 |
| Use of novel structural features to identify urinary biomarkers during acute kidney injury that predict progression to chronic kidney disease JR Charlton, T Li, T Wu, K deRonde, Y Xu, EJ Baldelomar, KM Bennett BMC nephrology 24 (1), 178, 2023 | 1 | 2023 |
| Deep learning based blob detection systems and methods Y Xu, T Wu, F Gao US Patent US20220318999A1, 2022 | 1 | 2022 |
| Can Urinary Biomarkers at AKI Predict Progression to CKD?: PO0418 JR Charlton, T Li, Y Xu, T Wu, K Deronde, KM Bennett Journal of the American Society of Nephrology 32 (10S), 172, 2021 | | 2021 |
Teresa WuProfessor, School of Computing and Augmented Intelligence在 asu.edu 的电子邮件经过验证
