| Deep-learning convolutional neural networks accurately classify genetic mutations in gliomas P Chang, J Grinband, BD Weinberg, M Bardis, M Khy, G Cadena, MY Su, ... American Journal of Neuroradiology 39 (7), 1201-1207, 2018 | 415 | 2018 |
| Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT PD Chang, E Kuoy, J Grinband, BD Weinberg, M Thompson, R Homo, ... American Journal of Neuroradiology 39 (9), 1609-1616, 2018 | 261 | 2018 |
| Diagnosis of benign and malignant breast lesions on DCE‐MRI by using radiomics and deep learning with consideration of peritumor tissue J Zhou, Y Zhang, KT Chang, KE Lee, O Wang, J Li, Y Lin, Z Pan, P Chang, ... Journal of Magnetic Resonance Imaging 51 (3), 798-809, 2020 | 178 | 2020 |
| Artificial Intelligence and Acute Stroke Imaging JE Soun, DS Chow, M Nagamine, RS Takhtawala, CG Filippi, W Yu, ... American Journal of Neuroradiology 42 (1), 2-11, 2021 | 167 | 2021 |
| Aggressive resection at the infiltrative margins of glioblastoma facilitated by intraoperative fluorescein guidance JA Neira, TH Ung, JS Sims, HR Malone, DS Chow, JL Samanamud, ... Journal of neurosurgery 127 (1), 111-122, 2016 | 153 | 2016 |
| A multiparametric model for mapping cellularity in glioblastoma using radiographically localized biopsies PD Chang, HR Malone, SG Bowden, DS Chow, BJA Gill, TH Ung, ... American Journal of Neuroradiology 38 (5), 890-898, 2017 | 112 | 2017 |
| Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers Y Zhang, JH Chen, Y Lin, S Chan, J Zhou, D Chow, P Chang, T Kwong, ... European radiology 31, 2559-2567, 2021 | 98 | 2021 |
| Big Data and the Future of Radiology Informatics AP Kansagra, JY John-Paul, AR Chatterjee, L Lenchik, DS Chow, ... Academic radiology 23 (1), 30-42, 2016 | 95 | 2016 |
| Automatic breast and fibroglandular tissue segmentation in breast MRI using deep learning by a fully-convolutional residual neural network U-net Y Zhang, JH Chen, KT Chang, VY Park, MJ Kim, S Chan, P Chang, ... Academic radiology 26 (11), 1526-1535, 2019 | 94 | 2019 |
| Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI L Shi, Y Zhang, K Nie, X Sun, T Niu, N Yue, T Kwong, P Chang, D Chow, ... Magnetic resonance imaging 61, 33-40, 2019 | 90 | 2019 |
| Optimizing Neuro-Oncology Imaging: A Review of Deep Learning Approaches for Glioma Imaging MM Shaver, PA Kohanteb, C Chiou, MD Bardis, C Chantaduly, D Bota, ... Cancers 11 (6), 829, 2019 | 90 | 2019 |
| Differentiation of spinal metastases originated from lung and other cancers using radiomics and deep learning based on DCE-MRI N Lang, Y Zhang, E Zhang, J Zhang, D Chow, P Chang, JY Hon, H Yuan, ... Magnetic resonance imaging 64, 4-12, 2019 | 88 | 2019 |
| Research productivity in neurosurgery: trends in globalization, scientific focus, and funding: A review JS Hauptman, DS Chow, NA Martin, MW Itagaki Journal of neurosurgery 115 (6), 1262-1272, 2011 | 83 | 2011 |
| Semiautomated volumetric measurement on postcontrast MR imaging for analysis of recurrent and residual disease in glioblastoma multiforme DS Chow, J Qi, X Guo, VZ Miloushev, FM Iwamoto, JN Bruce, ... American Journal of Neuroradiology 35 (3), 498-503, 2014 | 75 | 2014 |
| Glioma-induced alterations in neuronal activity and neurovascular coupling during disease progression MK Montgomery, SH Kim, A Dovas, HT Zhao, AR Goldberg, W Xu, ... Cell reports 31 (2), 2020 | 74 | 2020 |
| Deep Learning AI Applications in the Imaging of Glioma A Zlochower, DS Chow, P Chang, D Khatri, JA Boockvar, CG Filippi Topics in Magnetic Resonance Imaging 29 (2), 115-00, 2020 | 69 | 2020 |
| Imaging genetic heterogeneity in glioblastoma and other glial tumors: review of current methods and future directions D Chow, P Chang, BD Weinberg, DA Bota, J Grinband, CG Filippi American Journal of Roentgenology 210 (1), 30-38, 2018 | 67 | 2018 |
| Predicting Glioblastoma Recurrence by Early Changes in the Apparent Diffusion Coefficient Value and Signal Intensity on FLAIR Images PD Chang, DS Chow, PH Yang, CG Filippi, A Lignelli American Journal of Roentgenology 208 (1), 57-65, 2017 | 64 | 2017 |
| Automatic detection and segmentation of breast cancer on MRI using mask R-CNN trained on non–fat-sat images and tested on fat-sat images Y Zhang, S Chan, VY Park, KT Chang, S Mehta, MJ Kim, FJ Combs, ... Academic Radiology 29, S135-S144, 2022 | 62 | 2022 |
| A 3D-2D Hybrid U-Net Convolutional Neural Network Approach to Prostate Organ Segmentation of Multiparametric MRI A Ushinsky, M Bardis, J Glavis-Bloom, E Uchio, C Chantaduly, ... American Journal of Roentgenology 216 (1), 111-116, 2021 | 60 | 2021 |
Min-Ying SuProfessor of Radiological Sciences, University of California, Irvine在 uci.edu 的电子邮件经过验证
