| A machine learning approach for classifying ischemic stroke onset time from imaging KC Ho, W Speier, H Zhang, F Scalzo, S El-Saden, CW Arnold IEEE transactions on medical imaging 38 (7), 1666-1676, 2019 | 89* | 2019 |
| Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time H Zhang*, JS Polson*, K Nael, N Salamon, B Yoo, S El-Saden, F Scalzo, ... Computerized Medical Imaging and Graphics 90, 101926, 2021 | 25* | 2021 |
| RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans P Yu*, H Zhang*, H Kang, W Tang, CW Arnold, R Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 11 | 2022 |
| A machine learning approach to predict acute ischemic stroke thrombectomy reperfusion using discriminative mr image features H Zhang*, J Polson*, K Nael, N Salamon, B Yoo, W Speier, C Arnold 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 10 | 2021 |
| Identifying acute ischemic stroke patients within the thrombolytic treatment window using deep learning JS Polson*, H Zhang*, K Nael, N Salamon, BY Yoo, S El‐Saden, ... Journal of Neuroimaging 32 (6), 1153-1160, 2022 | 9 | 2022 |
| Transformer Lesion Tracker W Tang, H Kang, H Zhang, P Yu, CW Arnold, R Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 7 | 2022 |
| MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients W Tang*, H Zhang*, P Yu, H Kang, R Zhang 2022 44rd Annual International Conference of the IEEE Engineering in …, 2022 | 6 | 2022 |
| Deep Learning Algorithm Enables Cerebral Venous Thrombosis Detection With Routine Brain Magnetic Resonance Imaging X Yang*, P Yu*, H Zhang, R Zhang, Y Liu, H Li, P Sun, X Liu, Y Wu, X Jia, ... Stroke 54 (5), 1357-1366, 2023 | 4 | 2023 |
| Multi-parametric radiomic model to predict 1p/19q co-deletion in patients with IDH-1 mutant glioma: added value to the T2-FLAIR mismatch sign S Kihira, A Derakhshani, M Leung, K Mahmoudi, A Bauer, H Zhang, ... Cancers 15 (4), 1037, 2023 | 4 | 2023 |
| Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning IE Chen, B Tsui, H Zhang, JX Qiao, W Hsu, M Nour, N Salamon, ... Interventional Neuroradiology, 15910199221145487, 2022 | 4 | 2022 |
| A Semi-Supervised Learning Framework to Leverage Proxy Information for Stroke MRI Analysis J Polson*, H Zhang*, K Nael, N Salamon, B Yoo, N Kim, DW Kang, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 4 | 2021 |
| Lung shrinking assessment on HRCT with elastic registration technique for monitoring idiopathic pulmonary fibrosis H Sun, X Yang, X Sun, X Meng, H Kang, R Zhang, H Zhang, M Liu, H Dai, ... European radiology 33 (4), 2279-2288, 2023 | 3 | 2023 |
| Pathology-Based Ischemic Stroke Etiology Classification via Clot Composition Guided Multiple Instance Learning M Pleasure, E Redekop, JS Polson, H Zhang, N Kaneko, W Speier, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models H Zhang*, J Polson*, EJ Yang, K Nael, W Speier, CW Arnold Medical Imaging with Deep Learning, 2022 | 1 | 2022 |
| Abstract TP137: Quantitative Assessment of No-Reflow Zones Predicts Infarct Growth and Functional Outcome K Mahmoudi, DH Kim, E Tavakkol, J Qiao, M Bahr-Hosseini, B Salehi, ... Stroke 55 (Suppl_1), ATP137-ATP137, 2024 | | 2024 |
| Automated Assessment of DWI-FLAIR Mismatch in Patients with Acute Ischemic Stroke: Added Value to Routine Clinical Practice E Tavakkol, S Kihira, M McArthur, JS Polson, H Zhang, CW Arnold, ... American Journal of Neuroradiology, 2024 | | 2024 |
| Perfusion Collateral Index versus Hypoperfusion Intensity Ratio in Assessment of Collaterals in Patients with Acute Ischemic Stroke B Tsui, IE Chen, M Nour, S Kihira, E Tavakkol, J Polson, H Zhang, J Qiao, ... American Journal of Neuroradiology 44 (11), 1249-1255, 2023 | | 2023 |
| Abstract: A Deep-learning based Quality Assessment of Real-world Brain MRI for Multiple Sclerosis Z Song, H Zhang, A Krishnan, R Carano MULTIPLE SCLEROSIS JOURNAL 29, 920-921, 2023 | | 2023 |
| Deep Learning for Tumor-Associated Stroma Identification in Prostate Histopathology Slides Z Wang, M Pleasure, H Zhang, K Flores, A Sisk, W Speier, CW Arnold International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Abstract TP97: Automated Assessment Of DWI-FLAIR Mismatch To Predict Stroke-onset Time E Tavakkol, S Kihira, M McArthur, P Ann, J Polson, H Zhang, C Arnold, ... Stroke 54 (Suppl_1), ATP97-ATP97, 2023 | | 2023 |
Corey W. ArnoldProfessor, Depts of Radiology, Pathology, Bioengineering, and Electrical & Computer EngineeringVerified email at ucla.edu
