Lydia Min-Ying Su
Professor & Director of Tu & Yuen Center for Functional Onco-Imaging, Radiological Sciences
School of Medicine
School of Medicine
MS: University of California, Irvine, Physics
PhD: University of California, Irvine, Physics, 1993
PhD: University of California, Irvine, Physics, 1993
University of California, Irvine
CFOI, 164 Irvine Hall
University of California
Mail Code: 5020
Irvine, CA 92697
CFOI, 164 Irvine Hall
University of California
Mail Code: 5020
Irvine, CA 92697
Available Technologies
Publications
Peer-reviewed papers from 2021:
[33] Zhang Y, Liu YL, Nie K, Zhou J, Chen Z, Chen JH, Wang X, Kim B, Parajuli R, Mehta RS, Wang M, Su MY. Deep Learning-based Automatic Diagnosis of Breast Cancer on MRI Using Mask R-CNN for Detection Followed by ResNet50 for Classification. Acad Radiol. 2023 Jan 9:S1076-6332(22)00695-X. doi: 10.1016/j.acra.2022.12.038.
[32] Zhang Y, Li W, Zhang Z, Xue Y, Liu YL, Nie K, Su MY, Ye Q. Differential diagnosis of prostate cancer and benign prostatic hyperplasia based on DCE-MRI using bi-directional CLSTM deep learning and radiomics. Med Biol Eng Comput. 2023 Jan 4. doi: 10.1007/s11517-022-02759-x.
[31] Chen X, Zhang Y, Zhou J, Wang X, Liu X, Nie K, Lin X, He W, Su MY, Cao G, Wang M. Diagnosis of architectural distortion on digital breast tomosynthesis using radiomics and deep learning. Front Oncol. 2022 Dec 13;12:991892. doi: 10.3389/fonc.2022.991892.
[30] Wu TC, Liu YL, Chen JH, Ho CH, Zhang Y, Su MY. Prediction of poor outcome in stroke patients using radiomics analysis of intraparenchymal and intraventricular hemorrhage and clinical factors. Neurol Sci. 2023 Apr;44(4):1289-1300. doi: 10.1007/s10072-022-06528-4.
[29] Wu TC, Liu YL, Chen JH, Zhang Y, Chen TY, Ko CC, Su MY. The Added Value of Intraventricular Hemorrhage on the Radiomics Analysis for the Prediction of Hematoma Expansion of Spontaneous Intracerebral Hemorrhage. Diagnostics (Basel). 2022 Nov 10;12(11):2755. doi: 10.3390/diagnostics12112755.
[28] Bang YS, Hwang HW, Bae H, Choi YS, Lim Y, Yi J, Kim H, Su MY, Kim YU. The value of the sacroiliac joint area as a new morphological parameter of ankylosing spondylitis. Medicine (Baltimore). 2022 Nov 11;101(45):e31723. doi: 10.1097/MD.0000000000031723.
[27] Bang YS, Lee DY, Kim T, Su MY, Park S, Lee S, Yi J, Kim H, Kim YU. The value of the glenohumeral joint cross-sectional area as a morphological parameter of glenohumeral osteoarthritis. Medicine (Baltimore). 2022 Nov 25;101(47):e31424. doi: 10.1097/MD.0000000000031424.
[26] Joo Y, Moon J, Lee YJ, Bang YS, Yi J, Jang JN, Su MY, Kim YU. A new diagnostic morphological parameter for the Carpal tunnel syndrome: The palmaris longus tendon cross-sectional area. Medicine (Baltimore). 2022 Oct 7;101(40):e30906. doi: 10.1097/MD.0000000000030906.
[25] Park J, Su MY, Kim YU. Suprascapular notch cross-sectional area by MRI do not yield accuracy in the diagnosis of suprascapular nerve entrapment - counter point of view. Korean J Anesthesiol. 2022 Dec;75(6):539-540. doi: 10.4097/kja.22435.
[24] Park J, Su MY, Kang KN, Kim AS, Ahn JH, Cho E, Lee JH, Kim YU. Body Map of Droplet Distributions During Oropharyngeal Suction to Protect Health Care Workers From Airborne Diseases. J Perianesth Nurs. 2022 Jun 10:S1089-9472(22)00247-7. doi: 10.1016/j.jopan.2022.05.087.
[23] Chen X, Zhang Y, Cao G, Zhou J, Lin Y, Chen B, Nie K, Fu G, Su MY, Wang M. Dynamic change of COVID-19 lung infection evaluated using co-registration of serial chest CT images. Front Public Health. 2022 Aug 12;10:915615. doi: 10.3389/fpubh.2022.915615.
[22] Shih YJ, Liu YL, Chen JH, Ho CH, Yang CC, Chen TY, Wu TC, Ko CC, Zhou JT, Zhang Y, Su MY. Prediction of Intraparenchymal Hemorrhage Progression and Neurologic Outcome in Traumatic Brain Injury Patients Using Radiomics Score and Clinical Parameters. Diagnostics (Basel). 2022 Jul 10;12(7):1677. doi: 10.3390/diagnostics12071677.
[21] Wang Q, Zhang Y, Zhang E, Xing X, Chen Y, Nie K, Yuan H, Su MY, Lang N. A Multiparametric Method Based on Clinical and CT-Based Radiomics to Predict the Expression of p53 and VEGF in Patients With Spinal Giant Cell Tumor of Bone. Front Oncol. 2022 Jun 21;12:894696. doi: 10.3389/fonc.2022.894696.
[20] Chen ZW, Zhao YF, Liu HR, Zhou JJ, Miao HW, Ye SX, He Y, Liu XM, Su MY, Wang MH. Assessment of breast lesions by the Kaiser score for differential diagnosis on MRI: the added value of ADC and machine learning modeling. Eur Radiol. 2022 Jun 21. doi: 10.1007/s00330-022-08899-w. Epub ahead of print.
[19] Park J, Su MY, Kim YU. Accuracy of suprascapular notch cross-sectional area by MRI in the diagnosis of suprascapular nerve entrapment syndrome - a retrospective pilot study. Korean J Anesthesiol. 2022 Jun 15. doi: 10.4097/kja.22153.
[18] Su MYL. Editorial for "Radiomic-Based MRI for Classification of Solitary Brain Metastasis Subtypes From Primary Lymphoma of the Central Nervous System". J Magn Reson Imaging. 2022 Jun 3. doi: 10.1002/jmri.28278.
[17] Shih YJ, Liu YL, Zhou JT, Zhang Y, Chen JH, Chen TY, Yang CC, Su MY. Usage of image registration and three-dimensional visualization tools on serial computed tomography for the analysis of patients with traumatic intraparenchymal hemorrhages. J Clin Neurosci. 2022 Apr;98:154-161. doi: 10.1016/j.jocn.2022.01.034.
[16] Yu HJ, Wadi L, Say I, Paganini-Hill A, Chow D, Jafari AH, Farhan SD, Del Sol SR, Mobayed O, Alvarez A, Hasso A, Li SS, Do H, Berkeley D, Lee YP, Su LM, Rosen C, Fisher M. Magnetic Resonance Imaging Findings in High School Football Players: Brain and Cervical Spine. Neurotrauma Rep. 2022;3(1):129-138. doi: 10.1089/neur.2021.0026.
[15] Yeh LR, Zhang Y, Chen JH, Liu YL, Wang AC, Yang JY, Yeh WC, Cheng CS, Chen LK, Su MY. A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet. Eur Spine J. 2022 Aug;31(8):2022-2030. doi: 10.1007/s00586-022-07121-1.
[14] Zhao YF, Chen Z, Zhang Y, Zhou J, Chen JH, Lee KE, Combs FJ, Parajuli R, Mehta RS, Wang M, Su MY. Diagnosis of Breast Cancer Using Radiomics Models Built Based on Dynamic Contrast Enhanced MRI Combined With Mammography. Front Oncol. 2021 Nov 17;11:774248. doi: 10.3389/fonc.2021.774248.
[13] Zhou J, Liu YL, Zhang Y, Chen JH, Combs FJ, Parajuli R, Mehta RS, Liu H, Chen Z, Zhao Y, Pan Z, Wang M, Yu R, Su MY. BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning. Front Oncol. 2021 Nov 1;11:728224. doi: 10.3389/fonc.2021.728224.
[12] Wang QZ, Zhang EL, Xing XY, Su MY, Lang N. Clinical Significance of Preoperative CT and MR Imaging Findings in the Prediction of Postoperative Recurrence of Spinal Giant Cell Tumor of Bone. Orthop Surg. 2021 Dec;13(8):2405-2416. doi: 10.1111/os.13173.
[11] Wang C, Padgett KR, Su MY, Mellon EA, Maziero D, Chang Z. Multi-parametric MRI (mpMRI) for treatment response assessment of radiation therapy. Med Phys. 2022 Apr;49(4):2794-2819. doi: 10.1002/mp.15130.
[10] Zhang Y, Chan S, Chen JH, Chang KT, Lin CY, Pan HB, Lin WC, Kwong T, Parajuli R, Mehta RS, Chien SH, Su MY. Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model. J Digit Imaging. 2021 Aug;34(4):877-887. doi: 10.1007/s10278-021-00472-z.
[9] Ko CC, Zhang Y, Chen JH, Chang KT, Chen TY, Lim SW, Wu TC, Su MY. Preoperative MRI Radiomics for Prediction of Progression and Recurrence in Meningiomas. Front. Neurol., 14 May 2021 | https://doi.org/10.3389/fneur.2021.636235
[8] Li Y, Zhang Y, Zhang E, Chen Y, Wang Q, Liu K, Yu HJ, Yuan H, Lang N, Su MY. Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning. Eur Radiol. 2021 Dec;31(12):9612-9619. doi: 10.1007/s00330-021-08014-5.
[7] Yin XX, Jian Y, Zhang Y, Zhang Y, Wu J, Lu H, Su MY. Automatic breast tissue segmentation in MRIs with morphology snake and deep denoiser training via extended Stein's unbiased risk estimator. Health Inf Sci Syst. 2021 Apr 5;9(1):16. doi: 10.1007/s13755-021-00143-x.
[6] Wang Q, Zhang Y, Zhang E, Xing X, Chen Y, Su MY, Lang N. Prediction of the early recurrence in spinal giant cell tumor of bone using radiomics of preoperative CT: Long-term outcome of 62 consecutive patients. J Bone Oncol. 2021 Mar 16;27:100354. doi: 10.1016/j.jbo.2021.100354.
[5] Su MY. Editorial for "The Occurrence and Outcome of Mild Intracranial Atherosclerotic Stenosis: A Prospective High-Resolution MRI Study". J Magn Reson Imaging. 2021 Jul;54(1):89-90. doi: 10.1002/jmri.27571.
[4] Zhang Y, Ko CC, Chen JH, Chang KT, Chen TY, Lim SW, Tsui YK, Su MY. Radiomics Approach for Prediction of Recurrence in Non-Functioning Pituitary Macroadenomas. Front Oncol. 2020 Dec 18;10:590083. doi: 10.3389/fonc.2020.590083.
[3] Zhang Y, Chan S, Park VY, Chang KT, Mehta S, Kim MJ, Combs FJ, Chang P, Chow D, Parajuli R, Mehta RS, Lin CY, Chien SH, Chen JH, Su MY. 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. Acad Radiol. 2022 Jan;29 Suppl 1:S135-S144. doi: 10.1016/j.acra.2020.12.001.
[2] Zhang Y, Yue N, Su MY, Liu B, Ding Y, Zhou Y, Wang H, Kuang Y, Nie K. Improving CBCT quality to CT level using deep learning with generative adversarial network. Med Phys. 2021 Jun;48(6):2816-2826. doi: 10.1002/mp.14624.
[1] Zhang Y, Chen JH, Lin Y, Chan S, Zhou J, Chow D, Chang P, Kwong T, Yeh DC, Wang X, Parajuli R, Mehta RS, Wang M, Su MY. Prediction of Breast Cancer Molecular Subtypes on DCE-MRI Using Convolutional Neural Network with Transfer Learning between Two Centers. Eur Radiol. 2021 Apr;31(4):2559-2567. doi: 10.1007/s00330-020-07274-x.
[33] Zhang Y, Liu YL, Nie K, Zhou J, Chen Z, Chen JH, Wang X, Kim B, Parajuli R, Mehta RS, Wang M, Su MY. Deep Learning-based Automatic Diagnosis of Breast Cancer on MRI Using Mask R-CNN for Detection Followed by ResNet50 for Classification. Acad Radiol. 2023 Jan 9:S1076-6332(22)00695-X. doi: 10.1016/j.acra.2022.12.038.
[32] Zhang Y, Li W, Zhang Z, Xue Y, Liu YL, Nie K, Su MY, Ye Q. Differential diagnosis of prostate cancer and benign prostatic hyperplasia based on DCE-MRI using bi-directional CLSTM deep learning and radiomics. Med Biol Eng Comput. 2023 Jan 4. doi: 10.1007/s11517-022-02759-x.
[31] Chen X, Zhang Y, Zhou J, Wang X, Liu X, Nie K, Lin X, He W, Su MY, Cao G, Wang M. Diagnosis of architectural distortion on digital breast tomosynthesis using radiomics and deep learning. Front Oncol. 2022 Dec 13;12:991892. doi: 10.3389/fonc.2022.991892.
[30] Wu TC, Liu YL, Chen JH, Ho CH, Zhang Y, Su MY. Prediction of poor outcome in stroke patients using radiomics analysis of intraparenchymal and intraventricular hemorrhage and clinical factors. Neurol Sci. 2023 Apr;44(4):1289-1300. doi: 10.1007/s10072-022-06528-4.
[29] Wu TC, Liu YL, Chen JH, Zhang Y, Chen TY, Ko CC, Su MY. The Added Value of Intraventricular Hemorrhage on the Radiomics Analysis for the Prediction of Hematoma Expansion of Spontaneous Intracerebral Hemorrhage. Diagnostics (Basel). 2022 Nov 10;12(11):2755. doi: 10.3390/diagnostics12112755.
[28] Bang YS, Hwang HW, Bae H, Choi YS, Lim Y, Yi J, Kim H, Su MY, Kim YU. The value of the sacroiliac joint area as a new morphological parameter of ankylosing spondylitis. Medicine (Baltimore). 2022 Nov 11;101(45):e31723. doi: 10.1097/MD.0000000000031723.
[27] Bang YS, Lee DY, Kim T, Su MY, Park S, Lee S, Yi J, Kim H, Kim YU. The value of the glenohumeral joint cross-sectional area as a morphological parameter of glenohumeral osteoarthritis. Medicine (Baltimore). 2022 Nov 25;101(47):e31424. doi: 10.1097/MD.0000000000031424.
[26] Joo Y, Moon J, Lee YJ, Bang YS, Yi J, Jang JN, Su MY, Kim YU. A new diagnostic morphological parameter for the Carpal tunnel syndrome: The palmaris longus tendon cross-sectional area. Medicine (Baltimore). 2022 Oct 7;101(40):e30906. doi: 10.1097/MD.0000000000030906.
[25] Park J, Su MY, Kim YU. Suprascapular notch cross-sectional area by MRI do not yield accuracy in the diagnosis of suprascapular nerve entrapment - counter point of view. Korean J Anesthesiol. 2022 Dec;75(6):539-540. doi: 10.4097/kja.22435.
[24] Park J, Su MY, Kang KN, Kim AS, Ahn JH, Cho E, Lee JH, Kim YU. Body Map of Droplet Distributions During Oropharyngeal Suction to Protect Health Care Workers From Airborne Diseases. J Perianesth Nurs. 2022 Jun 10:S1089-9472(22)00247-7. doi: 10.1016/j.jopan.2022.05.087.
[23] Chen X, Zhang Y, Cao G, Zhou J, Lin Y, Chen B, Nie K, Fu G, Su MY, Wang M. Dynamic change of COVID-19 lung infection evaluated using co-registration of serial chest CT images. Front Public Health. 2022 Aug 12;10:915615. doi: 10.3389/fpubh.2022.915615.
[22] Shih YJ, Liu YL, Chen JH, Ho CH, Yang CC, Chen TY, Wu TC, Ko CC, Zhou JT, Zhang Y, Su MY. Prediction of Intraparenchymal Hemorrhage Progression and Neurologic Outcome in Traumatic Brain Injury Patients Using Radiomics Score and Clinical Parameters. Diagnostics (Basel). 2022 Jul 10;12(7):1677. doi: 10.3390/diagnostics12071677.
[21] Wang Q, Zhang Y, Zhang E, Xing X, Chen Y, Nie K, Yuan H, Su MY, Lang N. A Multiparametric Method Based on Clinical and CT-Based Radiomics to Predict the Expression of p53 and VEGF in Patients With Spinal Giant Cell Tumor of Bone. Front Oncol. 2022 Jun 21;12:894696. doi: 10.3389/fonc.2022.894696.
[20] Chen ZW, Zhao YF, Liu HR, Zhou JJ, Miao HW, Ye SX, He Y, Liu XM, Su MY, Wang MH. Assessment of breast lesions by the Kaiser score for differential diagnosis on MRI: the added value of ADC and machine learning modeling. Eur Radiol. 2022 Jun 21. doi: 10.1007/s00330-022-08899-w. Epub ahead of print.
[19] Park J, Su MY, Kim YU. Accuracy of suprascapular notch cross-sectional area by MRI in the diagnosis of suprascapular nerve entrapment syndrome - a retrospective pilot study. Korean J Anesthesiol. 2022 Jun 15. doi: 10.4097/kja.22153.
[18] Su MYL. Editorial for "Radiomic-Based MRI for Classification of Solitary Brain Metastasis Subtypes From Primary Lymphoma of the Central Nervous System". J Magn Reson Imaging. 2022 Jun 3. doi: 10.1002/jmri.28278.
[17] Shih YJ, Liu YL, Zhou JT, Zhang Y, Chen JH, Chen TY, Yang CC, Su MY. Usage of image registration and three-dimensional visualization tools on serial computed tomography for the analysis of patients with traumatic intraparenchymal hemorrhages. J Clin Neurosci. 2022 Apr;98:154-161. doi: 10.1016/j.jocn.2022.01.034.
[16] Yu HJ, Wadi L, Say I, Paganini-Hill A, Chow D, Jafari AH, Farhan SD, Del Sol SR, Mobayed O, Alvarez A, Hasso A, Li SS, Do H, Berkeley D, Lee YP, Su LM, Rosen C, Fisher M. Magnetic Resonance Imaging Findings in High School Football Players: Brain and Cervical Spine. Neurotrauma Rep. 2022;3(1):129-138. doi: 10.1089/neur.2021.0026.
[15] Yeh LR, Zhang Y, Chen JH, Liu YL, Wang AC, Yang JY, Yeh WC, Cheng CS, Chen LK, Su MY. A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet. Eur Spine J. 2022 Aug;31(8):2022-2030. doi: 10.1007/s00586-022-07121-1.
[14] Zhao YF, Chen Z, Zhang Y, Zhou J, Chen JH, Lee KE, Combs FJ, Parajuli R, Mehta RS, Wang M, Su MY. Diagnosis of Breast Cancer Using Radiomics Models Built Based on Dynamic Contrast Enhanced MRI Combined With Mammography. Front Oncol. 2021 Nov 17;11:774248. doi: 10.3389/fonc.2021.774248.
[13] Zhou J, Liu YL, Zhang Y, Chen JH, Combs FJ, Parajuli R, Mehta RS, Liu H, Chen Z, Zhao Y, Pan Z, Wang M, Yu R, Su MY. BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning. Front Oncol. 2021 Nov 1;11:728224. doi: 10.3389/fonc.2021.728224.
[12] Wang QZ, Zhang EL, Xing XY, Su MY, Lang N. Clinical Significance of Preoperative CT and MR Imaging Findings in the Prediction of Postoperative Recurrence of Spinal Giant Cell Tumor of Bone. Orthop Surg. 2021 Dec;13(8):2405-2416. doi: 10.1111/os.13173.
[11] Wang C, Padgett KR, Su MY, Mellon EA, Maziero D, Chang Z. Multi-parametric MRI (mpMRI) for treatment response assessment of radiation therapy. Med Phys. 2022 Apr;49(4):2794-2819. doi: 10.1002/mp.15130.
[10] Zhang Y, Chan S, Chen JH, Chang KT, Lin CY, Pan HB, Lin WC, Kwong T, Parajuli R, Mehta RS, Chien SH, Su MY. Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model. J Digit Imaging. 2021 Aug;34(4):877-887. doi: 10.1007/s10278-021-00472-z.
[9] Ko CC, Zhang Y, Chen JH, Chang KT, Chen TY, Lim SW, Wu TC, Su MY. Preoperative MRI Radiomics for Prediction of Progression and Recurrence in Meningiomas. Front. Neurol., 14 May 2021 | https://doi.org/10.3389/fneur.2021.636235
[8] Li Y, Zhang Y, Zhang E, Chen Y, Wang Q, Liu K, Yu HJ, Yuan H, Lang N, Su MY. Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning. Eur Radiol. 2021 Dec;31(12):9612-9619. doi: 10.1007/s00330-021-08014-5.
[7] Yin XX, Jian Y, Zhang Y, Zhang Y, Wu J, Lu H, Su MY. Automatic breast tissue segmentation in MRIs with morphology snake and deep denoiser training via extended Stein's unbiased risk estimator. Health Inf Sci Syst. 2021 Apr 5;9(1):16. doi: 10.1007/s13755-021-00143-x.
[6] Wang Q, Zhang Y, Zhang E, Xing X, Chen Y, Su MY, Lang N. Prediction of the early recurrence in spinal giant cell tumor of bone using radiomics of preoperative CT: Long-term outcome of 62 consecutive patients. J Bone Oncol. 2021 Mar 16;27:100354. doi: 10.1016/j.jbo.2021.100354.
[5] Su MY. Editorial for "The Occurrence and Outcome of Mild Intracranial Atherosclerotic Stenosis: A Prospective High-Resolution MRI Study". J Magn Reson Imaging. 2021 Jul;54(1):89-90. doi: 10.1002/jmri.27571.
[4] Zhang Y, Ko CC, Chen JH, Chang KT, Chen TY, Lim SW, Tsui YK, Su MY. Radiomics Approach for Prediction of Recurrence in Non-Functioning Pituitary Macroadenomas. Front Oncol. 2020 Dec 18;10:590083. doi: 10.3389/fonc.2020.590083.
[3] Zhang Y, Chan S, Park VY, Chang KT, Mehta S, Kim MJ, Combs FJ, Chang P, Chow D, Parajuli R, Mehta RS, Lin CY, Chien SH, Chen JH, Su MY. 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. Acad Radiol. 2022 Jan;29 Suppl 1:S135-S144. doi: 10.1016/j.acra.2020.12.001.
[2] Zhang Y, Yue N, Su MY, Liu B, Ding Y, Zhou Y, Wang H, Kuang Y, Nie K. Improving CBCT quality to CT level using deep learning with generative adversarial network. Med Phys. 2021 Jun;48(6):2816-2826. doi: 10.1002/mp.14624.
[1] Zhang Y, Chen JH, Lin Y, Chan S, Zhou J, Chow D, Chang P, Kwong T, Yeh DC, Wang X, Parajuli R, Mehta RS, Wang M, Su MY. Prediction of Breast Cancer Molecular Subtypes on DCE-MRI Using Convolutional Neural Network with Transfer Learning between Two Centers. Eur Radiol. 2021 Apr;31(4):2559-2567. doi: 10.1007/s00330-020-07274-x.
For full list of publications, please click on the link above.
Professional Societies
International Society of Magnetic Resonance in Medicine
The American Association of Physicists in Medicine
Link to this profile
https://faculty.uci.edu/profile/?facultyId=5805
https://faculty.uci.edu/profile/?facultyId=5805
Last updated
04/26/2023
04/26/2023