Min-Ying Su
Min-Ying Su
Professor of Radiological Sciences, University of California, Irvine
Verified email at
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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