Education and Training

Publications

1. Lee B, Janzen C, Wu H, Vangala SS, Devaskar SU, Sung K. Utility of In Vivo Magnetic Resonance Imaging Is Predictive of Gestational Diabetes Mellitus During Early Pregnancy.. The Journal of clinical endocrinology and metabolism, 2023.
2. Hung ALY, Zheng H, Miao Q, Raman SS, Terzopoulos D, Sung K. CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI.. IEEE transactions on medical imaging, 2022.
3. Janzen C, Lei MYY, Lee BR, Vangala S, DelRosario I, Meng Q, Ritz B, Liu J, Jerrett M, Chanlaw T, Choi S, Aliabadi A, Fortes PA, Sullivan PS, Murphy A, Vecchio GD, Thamotharan S, Sung K, Devaskar SU. A Description of the Imaging Innovations for Placental Assessment in Response to Environmental Pollution Study.. American journal of perinatology, 2022.
4. Chiang J, Sparks H, Rink JS, Meloni MF, Hao F, Sung KH, Lee EW. Dynamic Contrast-Enhanced MR Imaging Evaluation of Perfusional Changes and Ablation Zone Size after Combination Embolization and Ablation Therapy.. Journal of vascular and interventional radiology : JVIR, 2022.
5. Hosseiny M, Sung KH, Felker E, Suvannarerg V, Tubtawee T, Shafa A, Arora KR, Ching J, Gulati A, Azadikhah A, Zhong X, Sayre J, Lu D, Raman SS. Read-out Segmented Echo Planar Imaging with Two-Dimensional Navigator Correction (RESOLVE): An Alternative Sequence to Improve Image Quality on Diffusion-Weighted Imaging of Prostate.. The British journal of radiology, 2022.
6. Zheng H, Miao Q, Liu Y, Mirak SA, Hosseiny M, Scalzo F, Raman SS, Sung K. Multiparametric MRI-based radiomics model to predict pelvic lymph node invasion for patients with prostate cancer.. European radiology, 2022.
7. Liu Y, Miao Q, Surawech C, Zheng H, Nguyen D, Yang G, Raman SS, Sung K. Deep Learning Enables Prostate MRI Segmentation: A Large Cohort Evaluation With Inter-Rater Variability Analysis.. Frontiers in oncology, 2021.
8. Cipollari S, Jamshidi N, Du L, Sung K, Huang D, Margolis DJ, Huang J, Reiter RE, Kuo MD. Tissue clearing techniques for three-dimensional optical imaging of intact human prostate and correlations with multi-parametric MRI.. The Prostate, 2021.
9. Liu Y, Zheng H, Liang Z, Miao Q, Brisbane WG, Marks LS, Raman SS, Reiter RE, Yang G, Sung K. Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification.. Diagnostics (Basel, Switzerland), 2021.
10. Zheng H, Miao Q, Liu Y, Raman SS, Scalzo F, Sung K. Integrative Machine Learning Prediction of Prostate Biopsy Results From Negative Multiparametric MRI.. Journal of magnetic resonance imaging : JMRI, 2021.
11. Zheng H, Miao Q, Raman SS, Scalzo F, Sung K. INTEGRATIVE RADIOMICS MODELS TO PREDICT BIOPSY RESULTS FOR NEGATIVE PROSTATE MRI.. Proceedings. IEEE International Symposium on Biomedical Imaging, 2021.
12. Cipollari S, Jamshidi N, Du L, Sung K, Huang D, Margolis DJ, Huang J, Reiter RE, Kuo MD. Tissue clearing techniques for three-dimensional optical imaging of intact human prostate and correlations with multi-parametric MRI.. The Prostate, 2021.
13. Cao R, Zhong X, Afshari S, Felker E, Suvannarerg V, Tubtawee T, Vangala S, Scalzo F, Raman S, Sung K. Performance of Deep Learning and Genitourinary Radiologists in Detection of Prostate Cancer Using 3-T Multiparametric Magnetic Resonance Imaging.. Journal of magnetic resonance imaging : JMRI, 2021.
14. Martin T, Janzen C, Li X, Del Rosario I, Chanlaw T, Choi S, Armstrong T, Masamed R, Wu HH, Devaskar SU, Sung K. Characterization of Uterine Motion in Early Gestation Using MRI-Based Motion Tracking.. Diagnostics (Basel, Switzerland), 2020.
15. Del Vecchio G, Li Q, Li W, Thamotharan S, Tosevska A, Morselli M, Sung K, Janzen C, Zhou X, Pellegrini M, Devaskar SU. Cell-free DNA Methylation and Transcriptomic Signature Prediction of Pregnancies with Adverse Outcomes.. Epigenetics, 2020.
16. Liu Y, Yang G, Hosseiny M, Azadikhah A, Mirak SA, Miao Q, Raman SS, Sung K. Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation.. IEEE access : practical innovations, open solutions, 2020.
17. Afshari Mirak S, Mohammadian Bajgiran A, Sung K, Asvadi NH, Markovic D, Felker ER, Lu D, Sisk A, Reiter RE, Raman SS. Dynamic contrast-enhanced (DCE) MR imaging: the role of qualitative and quantitative parameters for evaluating prostate tumors stratified by Gleason score and PI-RADS v2.. Abdominal radiology (New York), 2020.
18. Zhang Z, Wu HH, Priester A, Magyar C, Afshari Mirak S, Shakeri S, Mohammadian Bajgiran A, Hosseiny M, Azadikhah A, Sung K, Reiter RE, Sisk AE, Raman S, Enzmann DR. Prostate Microstructure in Prostate Cancer Using 3-T MRI with Diffusion-Relaxation Correlation Spectrum Imaging: Validation with Whole-Mount Digital Histopathology.. Radiology, 2020.
19. Kao S, Sung K. Editorial for "Predicting the Outcome of Transcatheter Arterial Embolization Therapy for Unresectable Hepatocellular Carcinoma Based on Radiomics of Preoperative Multiparameter MRI".. Journal of magnetic resonance imaging : JMRI, 2020.
20. Fu J, Zhong X, Li N, Van Dams R, Lewis J, Sung K, Raldow AC, Jin J, Qi XS. Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer.. Physics in medicine and biology, 2020.
21. Mikaiel S, Simonelli J, Li X, Lee YH, Lee YS, Sung K, Lu DS, Tsao TC, Wu HH. MRI-guided targeted needle placement during motion using hydrostatic actuators.. The international journal of medical robotics + computer assisted surgery : MRCAS, 2020.
22. Liu D, Shao X, Danyalov A, Chanlaw T, Masamed R, Wang DJJ, Janzen C, Devaskar SU, Sung K. Human Placenta Blood Flow During Early Gestation With Pseudocontinuous Arterial Spin Labeling MRI.. Journal of magnetic resonance imaging : JMRI, 2019.
23. Bajgiran AM, Mirak SA, Sung K, Sisk AE, Reiter RE, Raman SS. Apparent Diffusion Coefficient (ADC) Ratio Versus Conventional ADC for Detecting Clinically Significant Prostate Cancer With 3-T MRI.. AJR. American journal of roentgenology, 2019.
24. Zhong X, Cao R, Shakeri S, Scalzo F, Lee Y, Enzmann DR, Wu HH, Raman SS, Sung K. Deep transfer learning-based prostate cancer classification using 3 Tesla multi-parametric MRI.. Abdominal radiology (New York), 2019.
25. Bliesener Y, Zhong X, Guo Y, Boss M, Bosca R, Laue H, Chung C, Sung K, Nayak KS. Radiofrequency transmit calibration: A multi-center evaluation of vendor-provided radiofrequency transmit mapping methods.. Medical physics, 2019.
26. Mirak SA, Shakeri S, Bajgiran AM, Felker ER, Sung KH, Asvadi NH, Khoshnoodi P, Markovic D, Ponzini D, Ahuja P, Sisk A, Reiter RE, Lu D, Raman SS. Three Tesla Multiparametric Magnetic Resonance Imaging: Comparison of Performance with and without Endorectal Coil for Prostate Cancer Detection, PI-RADS™ version 2 Category and Staging with Whole Mount Histopathology Correlation.. The Journal of urology, 2019.
27. Cao R, Mohammadian Bajgiran A, Afshari Mirak S, Shakeri S, Zhong X, Enzmann D, Raman S, Sung K. Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.. IEEE transactions on medical imaging, 2019.
28. Sung K. Modified MR dispersion imaging in prostate dynamic contrast-enhanced MRI.. Journal of magnetic resonance imaging : JMRI, 2019.
29. Zhong X, Shakeri S, Liu D, Sayre J, Raman SS, Wu HH, Sung K. Repeatability and reproducibility of variable flip angle T1 quantification in the prostate at 3 T.. Journal of magnetic resonance imaging : JMRI, 2018.
30. Armstrong T, Liu D, Martin T, Masamed R, Janzen C, Wong C, Chanlaw T, Devaskar SU, Sung K, Wu HH. 3D R2* mapping of the placenta during early gestation using free-breathing multiecho stack-of-radial MRI at 3T.. Journal of magnetic resonance imaging : JMRI, 2018.
31. Wu HH, Priester A, Khoshnoodi P, Zhang Z, Shakeri S, Afshari Mirak S, Asvadi NH, Ahuja P, Sung K, Natarajan S, Sisk A, Reiter R, Raman S, Enzmann D. A system using patient-specific 3D-printed molds to spatially align in vivo MRI with ex vivo MRI and whole-mount histopathology for prostate cancer research.. Journal of magnetic resonance imaging : JMRI, 2018.
32. Rashid S, Han F, Gao Y, Sung K, Cao M, Yang Y, Hu P. Cardiac balanced steady-state free precession MRI at 0.35 T: a comparison study with 1.5 T.. Quantitative imaging in medicine and surgery, 2018.
33. Zhong X, Martin T, Wu HH, Nayak KS, Sung K. Prostate DCE-MRI with B1+ correction using an approximated analytical approach.. Magnetic resonance in medicine, 2018.
34. Han Y, Yoo J, Kim HH, Shin HJ, Sung K, Ye JC. Deep learning with domain adaptation for accelerated projection-reconstruction MR.. Magnetic resonance in medicine, 2018.
35. Martin T, Wang Y, Rashid S, Shao X, Moeller S, Hu P, Sung K, Wang DJ. Highly Accelerated SSFP Imaging with Controlled Aliasing in Parallel Imaging and integrated-SSFP (CAIPI-iSSFP).. Investigative magnetic resonance imaging, 2017.
36. Shao X, Liu D, Martin T, Chanlaw T, Devaskar SU, Janzen C, Murphy AM, Margolis D, Sung K, Wang DJJ. Measuring human placental blood flow with multidelay 3D GRASE pseudocontinuous arterial spin labeling at 3T.. Journal of magnetic resonance imaging : JMRI, 2017.
37. Armstrong T, Dregely I, Stemmer A, Han F, Natsuaki Y, Sung K, Wu HH. Free-breathing liver fat quantification using a multiecho 3D stack-of-radial technique.. Magnetic resonance in medicine, 2017.
38. Felker ER, Dregely I, Chung DJ, Sung K, Osuagwu FC, Lassman C, Sayre J, Wu H, Lu DS. Irreversible Electroporation: Defining the MRI Appearance of the Ablation Zone With Histopathologic Correlation in a Porcine Liver Model.. AJR. American journal of roentgenology, 2017.
39. Kim YK, Lin WC, Sung K, Raman SS, Margolis D, Lim Y, Gu S, Lu D. Reducing Artifacts during Arterial Phase of Gadoxetate Disodium-enhanced MR Imaging: Dilution Method versus Reduced Injection Rate.. Radiology, 2016.
40. Shao J, Liu D, Sung K, Nguyen KL, Hu P. Accuracy, precision, and reproducibility of myocardial T1 mapping: A comparison of four T1 estimation algorithms for modified look-locker inversion recovery (MOLLI).. Magnetic resonance in medicine, 2016.
41. Tan N, Lin WC, Khoshnoodi P, Asvadi NH, Yoshida J, Margolis DJ, Lu DS, Wu H, Sung KH, Lu DY, Huang J, Raman SS. In-Bore 3-T MR-guided Transrectal Targeted Prostate Biopsy: Prostate Imaging Reporting and Data System Version 2-based Diagnostic Performance for Detection of Prostate Cancer.. Radiology, 2016.
42. Rangwala NA, Dregely I, Wu HH, Sung K. Optimization and evaluation of reference region variable flip angle (RR-VFA) B1+ and T1 Mapping in the Prostate at 3T.. Journal of magnetic resonance imaging : JMRI, 2016.
43. Yang X, Le Minh H, Tim Cheng KT, Sung KH, Liu W. Renal compartment segmentation in DCE-MRI images.. Medical image analysis, 2016.
44. Chin SC, Lin CY, Huang BS, Tsang NM, Fan KH, Ku YK, Hsu CL, Chan SC, Huang SF, Li CH, Tseng HJ, Liao CT, Liu HL, Sung K. Pretreatment Dynamic Contrast-Enhanced MRI Improves Prediction of Early Distant Metastases in Patients With Nasopharyngeal Carcinoma.. Medicine, 2016.
45. Dregely I, Margolis DA, Sung K, Zhou Z, Rangwala N, Raman SS, Wu HH. Rapid quantitative T2 mapping of the prostate using three-dimensional dual echo steady state MRI at 3T.. Magnetic resonance in medicine, 2016.
46. Chung DJ, Sung K, Osuagwu FC, Wu HH, Lassman C, Lu DS. Contrast Enhancement Patterns after Irreversible Electroporation: Experimental Study of CT Perfusion Correlated to Histopathology in Normal Porcine Liver.. Journal of vascular and interventional radiology : JVIR, 2015.
47. Pan X, Qian T, Fernandez-Seara MA, Smith RX, Li K, Ying K, Sung K, Wang DJ. Quantification of liver perfusion using multidelay pseudocontinuous arterial spin labeling.. Journal of magnetic resonance imaging : JMRI, 2015.
48. Liu W, Sung K, Ruan D. Shape-based motion correction in dynamic contrast-enhanced MRI for quantitative assessment of renal function.. Medical physics, 2014.
49. Srinivasan S, Wu HH, Sung K, Margolis DJ, Ennis DB. Fast 3D T2 -weighted imaging using variable flip angle transition into driven equilibrium (3D T2 -TIDE) balanced SSFP for prostate imaging at 3T.. Magnetic resonance in medicine, 2014.
50. Sung K, Saranathan M, Daniel BL, Hargreaves BA. Simultaneous T(1) and B(1) (+) mapping using reference region variable flip angle imaging.. Magnetic resonance in medicine, 2013.
51. Sung K, Daniel BL, Hargreaves BA. Transmit B1+ field inhomogeneity and T1 estimation errors in breast DCE-MRI at 3 tesla.. Journal of magnetic resonance imaging : JMRI, 2013.
52. Sung K, Hargreaves BA. High-frequency subband compressed sensing MRI using quadruplet sampling.. Magnetic resonance in medicine, 2012.
53. Sung K, Daniel BL, Hargreaves BA. Location constrained approximate message passing for compressed sensing MRI.. Magnetic resonance in medicine, 2012.
54. Worters PW, Sung K, Stevens KJ, Koch KM, Hargreaves BA. Compressed-sensing multispectral imaging of the postoperative spine.. Journal of magnetic resonance imaging : JMRI, 2012.
55. Sung K, Lee HL, Hu HH, Nayak KS. Prediction of myocardial signal during CINE balanced SSFP imaging.. Magma (New York, N.Y.), 2010.
56. Jung H, Sung K, Nayak KS, Kim EY, Ye JC. k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI.. Magnetic resonance in medicine, 2009.
57. Sung K, Nayak KS. Design and use of tailored hard-pulse trains for uniformed saturation of myocardium at 3 Tesla.. Magnetic resonance in medicine, 2008.
58. Sung K, Nayak KS. B1+ compensation in 3T cardiac imaging using short 2DRF pulses.. Magnetic resonance in medicine, 2008.
59. Sung K, Nayak KS. Measurement and characterization of RF nonuniformity over the heart at 3T using body coil transmission.. Journal of magnetic resonance imaging : JMRI, 2008.