| Early clinical PET imaging results with the novel PHF-tau radioligand [F-18]-T807 DT Chien, S Bahri, AK Szardenings, JC Walsh, F Mu, MY Su, WR Shankle, ... Journal of Alzheimer's Disease 34 (2), 457-468, 2013 | 758 | 2013 |
| 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 | 433 | 2018 |
| Early clinical PET imaging results with the novel PHF-tau radioligand [F18]-T808 DT Chien, AK Szardenings, S Bahri, JC Walsh, F Mu, C Xia, WR Shankle, ... Journal of Alzheimer's Disease 38 (1), 171-184, 2014 | 313 | 2014 |
| Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRI K Nie, JH Chen, JY Hon, Y Chu, O Nalcioglu, MY Su Academic radiology 15 (12), 1513-1525, 2008 | 294 | 2008 |
| 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 | 271 | 2018 |
| MRI evaluation of pathologically complete response and residual tumors in breast cancer after neoadjuvant chemotherapy JH Chen, B Feig, G Agrawal, H Yu, PM Carpenter, RS Mehta, O Nalcioglu, ... Cancer: Interdisciplinary International Journal of the American Cancer …, 2008 | 250 | 2008 |
| Correlation of dynamic contrast enhancement MRI parameters with microvessel density and VEGF for assessment of angiogenesis in breast cancer MY Su, YC Cheung, JP Fruehauf, H Yu, O Nalcioglu, E Mechetner, ... Journal of Magnetic Resonance Imaging: An Official Journal of the …, 2003 | 218 | 2003 |
| Development of a quantitative method for analysis of breast density based on three‐dimensional breast MRI K Nie, JH Chen, S Chan, MKI Chau, HJ Yu, S Bahri, T Tseng, O Nalcioglu, ... Medical physics 35 (12), 5253-5262, 2008 | 209 | 2008 |
| Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass … D Newell, K Nie, JH Chen, CC Hsu, HJ Yu, O Nalcioglu, MY Su European radiology 20, 771-781, 2010 | 199 | 2010 |
| Tumor characterization with dynamic contrast–enhanced MRI using mr contrast agents of various molecular weights MY Su, A Mühler, X Lao, O Nalcioglu Magnetic resonance in medicine 39 (2), 259-269, 1998 | 197 | 1998 |
| Frontal lobe volume, function, and β-amyloid pathology in a canine model of aging PD Tapp, CT Siwak, FQ Gao, JY Chiou, SE Black, E Head, ... Journal of Neuroscience 24 (38), 8205-8213, 2004 | 193 | 2004 |
| Predicting Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer by Using MR Imaging and Quantitative 1H MR Spectroscopy1 HM Baek, JH Chen, K Nie, HJ Yu, S Bahri, RS Mehta, O Nalcioglu, MY Su Radiology 251 (3), 653-662, 2009 | 186 | 2009 |
| 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 | 182 | 2020 |
| Monitoring the size and response of locally advanced breast cancers to neoadjuvant chemotherapy (weekly paclitaxel and epirubicin) with serial enhanced MRI YC Cheung, SC Chen, MY Su, LC See, S Hsueh, HK Chang, YC Lin, ... Breast cancer research and treatment 78, 51-58, 2003 | 178 | 2003 |
| Measurement of vascular volume fraction and blood‐tissue permeability constants with a pharmacokinetic model: studies in rat muscle tumors with dynamic Gd‐DTPA enhanced MRI MY Su, JC Jao, O Nalcioglu Magnetic resonance in medicine 32 (6), 714-724, 1994 | 178 | 1994 |
| Magnetic resonance imaging of anatomic and vascular characteristics in a canine model of human aging MY Su, E Head, WM Brooks, Z Wang, BA Muggenburg, GE Adam, ... Neurobiology of aging 19 (5), 479-485, 1998 | 170 | 1998 |
| Significance of breast lesion descriptors in the ACR BI‐RADS MRI lexicon G Agrawal, MY Su, O Nalcioglu, SA Feig, JH Chen Cancer: Interdisciplinary International Journal of the American Cancer …, 2009 | 158 | 2009 |
| A multi-resolution approach for spinal metastasis detection using deep Siamese neural networks J Wang, Z Fang, N Lang, H Yuan, MY Su, P Baldi Computers in biology and medicine 84, 137-146, 2017 | 145 | 2017 |
| Prediction of malignant breast lesions from MRI features: a comparison of artificial neural network and logistic regression techniques CE McLaren, WP Chen, K Nie, MY Su Academic radiology 16 (7), 842-851, 2009 | 126 | 2009 |
| Quantification of Choline-containing Compounds in Malignant Breast Tumors by 1H MR Spectroscopy Using Water as an Internal Reference at 1.5 T HM Baik, MY Su, H Yu, O Nalcioglu, R Mehta Magnetic Resonance Materials in Physics, Biology and Medicine 19, 96-104, 2006 | 112 | 2006 |
