| k‐t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI H Jung, K Sung, KS Nayak, EY Kim, JC Ye Magnetic Resonance in Medicine: An Official Journal of the International …, 2009 | 879 | 2009 |
| Deep learning with domain adaptation for accelerated projection‐reconstruction MR Y Han, J Yoo, HH Kim, HJ Shin, K Sung, JC Ye Magnetic resonance in medicine 80 (3), 1189-1205, 2018 | 362 | 2018 |
| Joint prostate cancer detection and Gleason score prediction in mp-MRI via FocalNet R Cao, AM Bajgiran, SA Mirak, S Shakeri, X Zhong, D Enzmann, ... IEEE transactions on medical imaging 38 (11), 2496-2506, 2019 | 196 | 2019 |
| Automatic prostate zonal segmentation using fully convolutional network with feature pyramid attention Y Liu, G Yang, SA Mirak, M Hosseiny, A Azadikhah, X Zhong, RE Reiter, ... IEEE access 7, 163626-163632, 2019 | 102 | 2019 |
| Free‐breathing liver fat quantification using a multiecho 3 D stack‐of‐radial technique T Armstrong, I Dregely, A Stemmer, F Han, Y Natsuaki, K Sung, HH Wu Magnetic resonance in medicine 79 (1), 370-382, 2018 | 94 | 2018 |
| Transmit field inhomogeneity and T1 estimation errors in breast DCE‐MRI at 3 tesla K Sung, BL Daniel, BA Hargreaves Journal of Magnetic Resonance Imaging 38 (2), 454-459, 2013 | 91 | 2013 |
| Exploring uncertainty measures in Bayesian deep attentive neural networks for prostate zonal segmentation Y Liu, G Yang, M Hosseiny, A Azadikhah, SA Mirak, Q Miao, SS Raman, ... Ieee Access 8, 151817-151828, 2020 | 89 | 2020 |
| 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 N Tan, WC Lin, P Khoshnoodi, NH Asvadi, J Yoshida, DJA Margolis, ... Radiology 283 (1), 130-139, 2017 | 89 | 2017 |
| Measurement and characterization of RF nonuniformity over the heart at 3T using body coil transmission K Sung, KS Nayak Journal of Magnetic Resonance Imaging: An Official Journal of the …, 2008 | 89 | 2008 |
| Deep transfer learning-based prostate cancer classification using 3 Tesla multi-parametric MRI X Zhong, R Cao, S Shakeri, F Scalzo, Y Lee, DR Enzmann, HH Wu, ... Abdominal Radiology 44, 2030-2039, 2019 | 88 | 2019 |
| Compressed‐sensing multispectral imaging of the postoperative spine PW Worters, K Sung, KJ Stevens, KM Koch, BA Hargreaves Journal of Magnetic Resonance Imaging 37 (1), 243-248, 2013 | 83 | 2013 |
| Measuring human placental blood flow with multidelay 3D GRASE pseudocontinuous arterial spin labeling at 3T X Shao, D Liu, T Martin, T Chanlaw, SU Devaskar, C Janzen, AM Murphy, ... Journal of Magnetic Resonance Imaging 47 (6), 1667-1676, 2018 | 61 | 2018 |
| Cell-free DNA methylation and transcriptomic signature prediction of pregnancies with adverse outcomes G Del Vecchio, Q Li, W Li, S Thamotharan, A Tosevska, M Morselli, ... Epigenetics 16 (6), 642-661, 2021 | 57 | 2021 |
| Prostate microstructure in prostate cancer using 3-T MRI with diffusion-relaxation correlation spectrum imaging: validation with whole-mount digital histopathology Z Zhang, HH Wu, A Priester, C Magyar, S Afshari Mirak, S Shakeri, ... Radiology 296 (2), 348-355, 2020 | 56 | 2020 |
| Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer J Fu, X Zhong, N Li, R Van Dams, J Lewis, K Sung, AC Raldow, J Jin, ... Physics in Medicine & Biology 65 (7), 075001, 2020 | 53 | 2020 |
| Apparent diffusion coefficient (ADC) ratio versus conventional ADC for detecting clinically significant prostate cancer with 3-T MRI AM Bajgiran, SA Mirak, K Sung, AE Sisk, RE Reiter, SS Raman American Journal of Roentgenology 213 (3), W134-W142, 2019 | 49 | 2019 |
| Renal compartment segmentation in DCE-MRI images X Yang, H Le Minh, KTT Cheng, KH Sung, W Liu Medical image analysis 32, 269-280, 2016 | 49 | 2016 |
| Design and use of tailored hard‐pulse trains for uniformed saturation of myocardium at 3 Tesla K Sung, KS Nayak Magnetic Resonance in Medicine: An Official Journal of the International …, 2008 | 47 | 2008 |
| CAT-Net: A cross-slice attention transformer model for prostate zonal segmentation in MRI ALY Hung, H Zheng, Q Miao, SS Raman, D Terzopoulos, K Sung IEEE transactions on medical imaging 42 (1), 291-303, 2022 | 45 | 2022 |
| Simultaneous T1 and B1+ Mapping Using Reference Region Variable Flip Angle Imaging K Sung, M Saranathan, BL Daniel, BA Hargreaves Magnetic Resonance in Medicine 70 (4), 954-961, 2013 | 44 | 2013 |
Steven S. RamanProfessor of Radiology, Urology and Surgery, UCLAZweryfikowany adres z mednet.ucla.edu
