| 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 | 167 | 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 | 99 | 2019 |
| 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 | 75 | 2019 |
| 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 | 50 | 2020 |
| An automatic deep learning–based workflow for glioblastoma survival prediction using preoperative multimodal MR images: a feasibility study J Fu, K Singhrao, X Zhong, Y Gao, SX Qi, Y Yang, D Ruan, JH Lewis Advances in radiation oncology 6 (5), 100746, 2021 | 24 | 2021 |
| Performance of Deep Learning and Genitourinary Radiologists in Detection of Prostate Cancer Using 3‐T Multiparametric Magnetic Resonance Imaging R Cao, X Zhong, S Afshari, E Felker, V Suvannarerg, T Tubtawee, ... Journal of Magnetic Resonance Imaging 54 (2), 474-483, 2021 | 23 | 2021 |
| Prostate cancer detection and segmentation in multi-parametric MRI via CNN and conditional random field R Cao, X Zhong, S Shakeri, AM Bajgiran, SA Mirak, D Enzmann, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 23 | 2019 |
| Deep-learning-based cancer classification using a hierarchical classification framework KH Sung, W Hsu, S Shen, X Zhong US Patent 10,939,874, 2021 | 15 | 2021 |
| Prospective study of artificial intelligence-based decision support to improve head and neck radiotherapy plan quality DJ Sher, A Godley, Y Park, C Carpenter, M Nash, H Hesami, X Zhong, ... Clinical and translational radiation oncology 29, 65-70, 2021 | 14 | 2021 |
| Site‐agnostic 3D dose distribution prediction with deep learning neural networks M Mashayekhi, IR Tapia, A Balagopal, X Zhong, AS Barkousaraie, ... Medical physics 49 (3), 1391-1406, 2022 | 13 | 2022 |
| Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI R Cao, X Zhong, F Scalzo, S Raman, K Sung Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 10 | 2019 |
| Radiofrequency transmit calibration: A multi‐center evaluation of vendor‐provided radiofrequency transmit mapping methods Y Bliesener, X Zhong, Y Guo, M Boss, R Bosca, H Laue, C Chung, K Sung, ... Medical physics 46 (6), 2629-2637, 2019 | 7 | 2019 |
| Clinical experience on patient‐specific quality assurance for CBCT‐based online adaptive treatment plan C Shen, L Chen, X Zhong, Y Gonzalez, J Visak, B Meng, E Inam, ... Journal of applied clinical medical physics 24 (4), e13918, 2023 | 4 | 2023 |
| Dosimetric impact of simulated daily adaptive radiotherapy with significantly reduced setup margins in the definitive treatment of head and neck cancer M Dohopolski, B Choi, B Meng, J Visak, X Zhong, JS Kim, E Inam, ... International Journal of Radiation Oncology, Biology, Physics 114 (3), e590, 2022 | 4 | 2022 |
| Repeatability and reproducibility of variable flip angle T1 quantification in the prostate at 3 T X Zhong, S Shakeri, D Liu, J Sayre, SS Raman, HH Wu, K Sung Journal of Magnetic Resonance Imaging 49 (6), 1730-1735, 2019 | 4 | 2019 |
| Clinical Assessment of B1+ Inhomogeneity Effects on Quantitative Prostate MRI at 3.0 T X Zhong, N Rangwala, S Raman, D Margolis, H Wu, K Sung International Society of Magnetic Resonance in Medicine Proceedings, 2015 | 4 | 2015 |
| Quantitative MRI-Driven Deep Learning for Detection of Clinical Significant Prostate Cancer S Shen, X Zhong, W Hsu, A Bui, H Wu, M Kuo, S Raman, D Margolis, ... International Society for Magnetic Resonance in Medicine (ISMRM), 07-13, 2016 | 3 | 2016 |
| Optimizing Online Adaptation Timing in the Treatment of Locally Advanced Cervical Cancer A Yen, X Zhong, MH Lin, C Nwachukwu, K Albuquerque, B Hrycushko Practical Radiation Oncology 14 (2), e159-e164, 2024 | 2 | 2024 |
| Evaluation of Approximation Method for B1+ Correction using Digital Reference Object in Prostate DCE-MRI X Zhong, H Wu, K Nayak, K Sung Proceedings 25th Scientific Meeting, International Society for Magnetic …, 2017 | 2 | 2017 |
| B1+ Inhomogeneity Correction for Estimation of Pharmacokinetic Parameters through an Approximation Approach X Zhong, N Rangwala, S Raman, D Margolis, H Wu, K Sung Proceedings 24th Scientific Meeting, International Society for Magnetic …, 2016 | 2 | 2016 |
KyungHyun SungAssociate Professor of Radiological Sciences, UCLAVerified email at mednet.ucla.edu
