| QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field Y Chen, A Jakary, S Avadiappan, CP Hess, JM Lupo NeuroImage, 116389, 2019 | 72 | 2019 |
| Toward automatic detection of radiation-induced cerebral microbleeds using a 3D deep residual network Y Chen, JE Villanueva-Meyer, MA Morrison, JM Lupo Journal of digital imaging 32 (5), 766-772, 2019 | 47 | 2019 |
| Correction to: Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network Y Chen, JE Villanueva-Meyer, MA Morrison, JM Lupo Journal of digital imaging 32 (5), 898, 2019 | 47* | 2019 |
| A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning MA Morrison, S Payabvash, Y Chen, S Avadiappan, M Shah, X Zou, ... NeuroImage: Clinical 20, 498-505, 2018 | 45 | 2018 |
| A quantitative metrology for performance characterization of five breast tomosynthesis systems based on an anthropomorphic phantom L Ikejimba, JY Lo, Y Chen, N Oberhofer, N Kiarashi, E Samei Medical physics 43 (4), 1627-1638, 2016 | 15 | 2016 |
| Comparison of Quantitative Susceptibility Mapping Methods for Iron-Sensitive Susceptibility Imaging at 7T: An Evaluation in Healthy Subjects and Patients with Huntington's Disease J Yao, MA Morrison, A Jakary, S Avadiappan, Y Chen, J Luitjens, J Glueck, ... NeuroImage, 119788, 2022 | 5 | 2022 |
| Comparison of quantitative susceptibility mapping methods on evaluating radiation‐induced cerebral microbleeds and basal ganglia at 3T and 7T Y Chen, O Genc, CB Poynton, S Banerjee, CP Hess, JM Lupo NMR in Biomedicine, e4666, 0 | 1 | |
| A quantitative metrology for performance characterization of breast tomosynthesis systems based on an anthropomorphic phantom L Ikejimba, Y Chen, N Oberhofer, N Kiarashi, JY Lo, E Samei Medical Imaging 2015: Physics of Medical Imaging 9412, 94121A, 2015 | | 2015 |
