| An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms N Mu, Z Lyu, M Rezaeitaleshmahalleh, J Tang, J Jiang Medical image analysis 84, 102697, 2023 | 29 | 2023 |
| Automatic segmentation of abdominal aortic aneurysms from CT angiography using a context-aware cascaded U-Net N Mu, Z Lyu, M Rezaeitaleshmahalleh, X Zhang, T Rasmussen, ... Computers in Biology and Medicine 158, 106569, 2023 | 10 | 2023 |
| Computerized differentiation of growth status for abdominal aortic aneurysms: a feasibility study M Rezaeitaleshmahalleh, KW Sunderland, Z Lyu, T Johnson, K King, ... Journal of cardiovascular translational research 16 (4), 874-885, 2023 | 7 | 2023 |
| Radiomic-based textural analysis of intraluminal thrombus in aortic abdominal aneurysms: A demonstration of automated workflow M Rezaeitaleshmahalleh, N Mu, Z Lyu, W Zhou, X Zhang, TE Rasmussen, ... Journal of cardiovascular translational research 16 (5), 1123-1134, 2023 | 5 | 2023 |
| USING CONVOLUTIONAL NEURAL NETWORK-BASED SEGMENTATION FOR IMAGE-BASED COMPUTATIONAL FLUID DYNAMICS SIMULATIONS OF BRAIN ANEURYSMS: INITIAL EXPERIENCE IN AUTOMATED MODEL CREATION. M Rezaeitaleshmahalleh, Z Lyu, NAN Mu, J Jiang Journal of Mechanics in Medicine and Biology 23 (4), 2340055-2340055, 2023 | 4 | 2023 |
| Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms? N Mu, M Rezaeitaleshmahalleh, Z Lyu, M Wang, J Tang, CM Strother, ... Biomedical Physics & Engineering Express 9 (3), 037001, 2023 | 3 | 2023 |
| Characterization of small abdominal aortic aneurysms' growth status using spatial pattern analysis of aneurismal hemodynamics M Rezaeitaleshmahalleh, Z Lyu, N Mu, X Zhang, TE Rasmussen, ... Scientific reports 13 (1), 13832, 2023 | 2 | 2023 |
| Exploring a frequency-domain attention-guided cascade U-Net: Towards spatially tunable segmentation of vasculature N Mu, Z Lyu, X Zhang, R McBane, AS Pandey, J Jiang Computers in biology and medicine 167, 107648, 2023 | 1 | 2023 |
| S-Net: a multiple cross aggregation convolutional architecture for automatic segmentation of small/thin structures for cardiovascular applications N Mu, Z Lyu, M Rezaeitaleshmahalleh, C Bonifas, J Gosnell, M Haw, ... Frontiers in Physiology 14, 1209659, 2023 | 1 | 2023 |
| Augmenting prediction of intracranial aneurysms’ risk status using velocity-informatics: initial experience J Jiang, M Rezaeitaleshmahalleh, Z Lyu, N Mu, AS Ahmed, CMS Md, ... Journal of cardiovascular translational research 16 (5), 1153-1165, 2023 | 1 | 2023 |
| Deep-learning-based image segmentation for image-based computational hemodynamic analysis of abdominal aortic aneurysms: a comparison study Z Lyu, K King, M Rezaeitaleshmahalleh, D Pienta, N Mu, C Zhao, W Zhou, ... Biomedical physics & engineering express 9 (6), 067001, 2023 | 1 | 2023 |
| Augmenting Prediction of Intracranial Aneurysm Rupture Status With Computed Velomics J Jiang, S Rezaeitaleshmahalleh, Z Lyu, N Mu, C Strother, AS Ahmed, ... Circulation 146 (Suppl_1), A14903-A14903, 2022 | 1 | 2022 |
| Predicting Amyloid-β Positivity in Alzheimer's Disease: Comprehensive Analysis of Feature Selection and Machine Learning Models for Accurate Identification. X Wei, N Gao, M Xu, M Rezaeitalesh, N Mu, Z Lyu, M Ngala, J Jiang, ... International Journal of Online & Biomedical Engineering 19 (17), 2023 | | 2023 |
| Improving Characterization of Abdominal Aortic Aneurysms by Modeling Thrombosis S Rezaeitaleshmahalleh, Z Lyu, K King, JM Hofer, D Liedl, X Zhang, ... Circulation 146 (Suppl_1), A12087-A12087, 2022 | | 2022 |
