| Non-invasive decision support for NSCLC treatment using PET/CT radiomics W Mu, L Jiang, JY Zhang, Y Shi, JE Gray, I Tunali, C Gao, Y Sun, J Tian, ... Nature communications 11 (1), 5228, 2020 | 195 | 2020 |
| Feasibility of using 3D MR elastography to determine pancreatic stiffness in healthy volunteers Y Shi, KJ Glaser, SK Venkatesh, EI Ben‐Abraham, RL Ehman Journal of Magnetic Resonance Imaging 41 (2), 369-375, 2015 | 162 | 2015 |
| MR elastography for the assessment of hepatic fibrosis in patients with chronic hepatitis B infection: does histologic necroinflammation influence the measurement of hepatic … Y Shi, Q Guo, F Xia, B Dzyubak, KJ Glaser, Q Li, J Li, RL Ehman Radiology 273 (1), 88-98, 2014 | 127 | 2014 |
| Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images W Mu, L Jiang, Y Shi, I Tunali, JE Gray, E Katsoulakis, J Tian, RJ Gillies, ... Journal for immunotherapy of cancer 9 (6), 2021 | 126 | 2021 |
| Magnetic resonance elastography for the evaluation of liver fibrosis in chronic hepatitis B and C by using both gradient-recalled echo and spin-echo echo planar imaging: a … Y Shi, F Xia, Q Li, J Li, B Yu, Y Li, H An, KJ Glaser, S Tao, RL Ehman, ... Official journal of the American College of Gastroenterology| ACG 111 (6 …, 2016 | 85 | 2016 |
| Large-scale pancreatic cancer detection via non-contrast CT and deep learning K Cao, Y Xia, J Yao, X Han, L Lambert, T Zhang, W Tang, G Jin, H Jiang, ... Nature medicine 29 (12), 3033-3043, 2023 | 71 | 2023 |
| Pancreatic stiffness quantified with MR elastography: relationship to postoperative pancreatic fistula after pancreaticoenteric anastomosis Y Shi, Y Liu, F Gao, Y Liu, S Tao, Y Li, KJ Glaser, RL Ehman, Q Guo Radiology 288 (2), 476-484, 2018 | 64 | 2018 |
| Magnetic resonance elastography and T1 mapping for early diagnosis and classification of chronic pancreatitis M Wang, F Gao, X Wang, Y Liu, R Ji, L Cang, Y Shi Journal of Magnetic Resonance Imaging 48 (3), 837-845, 2018 | 58 | 2018 |
| Artificial intelligence performance in image-based ovarian cancer identification: A systematic review and meta-analysis HL Xu, TT Gong, FH Liu, HY Chen, Q Xiao, Y Hou, Y Huang, HZ Sun, ... EClinicalMedicine 53, 2022 | 55 | 2022 |
| Differentiation of benign and malignant solid pancreatic masses using magnetic resonance elastography with spin-echo echo planar imaging and three-dimensional inversion … Y Shi, F Gao, Y Li, S Tao, B Yu, Z Liu, Y Liu, KJ Glaser, RL Ehman, Q Guo European radiology 28, 936-945, 2018 | 53 | 2018 |
| Three-dimensional MR elastography depicts liver inflammation, fibrosis, and portal hypertension in chronic hepatitis B or C Y Shi, Y Qi, G Lan, Q Wu, B Ma, X Zhang, R Ji, Y Ma, Y Hong Radiology 301 (1), 154-162, 2021 | 46 | 2021 |
| Test–retest reliability of 3D EPI MR elastography of the pancreas H An, Y Shi, Q Guo, Y Liu Clinical radiology 71 (10), 1068. e7-1068. e12, 2016 | 45 | 2016 |
| DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor … J Yao, Y Shi, K Cao, L Lu, J Lu, Q Song, G Jin, J Xiao, Y Hou, L Zhang Medical image analysis 73, 102150, 2021 | 33 | 2021 |
| Short-and midterm repeatability of magnetic resonance elastography in healthy volunteers at 3.0 T Y Shi, Q Guo, F Xia, J Sun, Y Gao Magnetic resonance imaging 32 (6), 665-670, 2014 | 33 | 2014 |
| Retrospective analysis of clinicopathological features and prognosis for aggressive angiomyxoma of 27 cases in a tertiary center: a 14-year survey and related literature review R Zou, H Xu, Y Shi, J Wang, S Wang, L Zhu Archives of Gynecology and Obstetrics 302, 219-229, 2020 | 29 | 2020 |
| The use of magnetic resonance elastography in differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma: a preliminary study Y Shi, L Cang, X Zhang, X Cai, X Wang, R Ji, M Wang, Y Hong European Journal of Radiology 108, 13-20, 2018 | 28 | 2018 |
| Assessing activation of hepatic stellate cells by 99mTc-3PRGD2 scintigraphy targeting integrin αvβ3: a feasibility study X Zhang, J Xin, Y Shi, W Xu, S Yu, Z Yang, C Liu, L Cao, Q Guo Nuclear medicine and biology 42 (3), 250-255, 2015 | 28 | 2015 |
| Deep learning for fully automated prediction of overall survival in patients undergoing resection for pancreatic cancer: a retrospective multicenter study J Yao, K Cao, Y Hou, J Zhou, Y Xia, I Nogues, Q Song, H Jiang, X Ye, J Lu, ... Annals of surgery 278 (1), e68-e79, 2023 | 27 | 2023 |
| Robust pancreatic ductal adenocarcinoma segmentation with multi-institutional multi-phase partially-annotated CT scans L Zhang, Y Shi, J Yao, Y Bian, K Cao, D Jin, J Xiao, L Lu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 26 | 2020 |
| Prediction of clinically relevant pancreatico-enteric anastomotic fistulas after pancreatoduodenectomy using deep learning of preoperative computed tomography W Mu, C Liu, F Gao, Y Qi, H Lu, Z Liu, X Zhang, X Cai, RY Ji, Y Hou, ... Theranostics 10 (21), 9779, 2020 | 25 | 2020 |
