| Machine learning in radiation oncology I El Naqa, R Li, MJ Murphy Theory Appl, 57-70, 2015 | 1210* | 2015 |
| Development and Validation of an Individualized Immune Prognostic Signature in Early-Stage Nonsquamous Non–Small Cell Lung Cancer B Li, Y Cui, M Diehn, R Li Jama Oncology 3 (11), 1529-1537, 2017 | 398 | 2017 |
| GPU-based fast cone beam CT reconstruction from undersampled and noisy projection data via total variation X Jia, Y Lou, R Li, WY Song, SB Jiang Medical physics 37 (4), 1757-1760, 2010 | 294 | 2010 |
| Early-Stage Non–Small Cell Lung Cancer: Quantitative Imaging Characteristics of 18F Fluorodeoxyglucose PET/CT Allow Prediction of Distant … J Wu, T Aguilera, D Shultz, M Gudur, DL Rubin, BW Loo Jr, M Diehn, R Li Radiology 281 (1), 270-278, 2016 | 183 | 2016 |
| Accurate respiration measurement using DC-coupled continuous-wave radar sensor for motion-adaptive cancer radiotherapy C Gu, R Li, H Zhang, AYC Fung, C Torres, SB Jiang, C Li IEEE Transactions on Biomedical Engineering 59 (11), 3117-3123, 2012 | 171 | 2012 |
| Identifying triple-negative breast cancer using background parenchymal enhancement heterogeneity on dynamic contrast-enhanced MRI: a pilot radiomics study J Wang, F Kato, N Oyama-Manabe, R Li, Y Cui, KK Tha, H Yamashita, ... PloS one 10 (11), e0143308, 2015 | 158 | 2015 |
| The immune subtypes and landscape of squamous cell carcinoma B Li, Y Cui, DK Nambiar, JB Sunwoo, R Li Clinical Cancer Research 25 (12), 3528-3537, 2019 | 156 | 2019 |
| Intratumor partitioning and texture analysis of dynamic contrast‐enhanced (DCE)‐MRI identifies relevant tumor subregions to predict pathological response of breast cancer to … J Wu, G Gong, Y Cui, R Li Journal of Magnetic Resonance Imaging 44 (5), 1107-1115, 2016 | 155 | 2016 |
| Real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy R Li, X Jia, JH Lewis, X Gu, M Folkerts, C Men, SB Jiang Medical physics 37 (6), 2822-2826, 2010 | 146 | 2010 |
| Intratumoral spatial heterogeneity at perfusion MR imaging predicts recurrence-free survival in locally advanced breast cancer treated with neoadjuvant chemotherapy J Wu, G Cao, X Sun, J Lee, DL Rubin, S Napel, AW Kurian, BL Daniel, ... Radiology 288 (1), 26-35, 2018 | 127 | 2018 |
| On a PCA-based lung motion model R Li, JH Lewis, X Jia, T Zhao, W Liu, S Wuenschel, J Lamb, D Yang, ... Physics in medicine and biology 56 (18), 6009, 2011 | 126 | 2011 |
| Predicting treatment response from longitudinal images using multi-task deep learning C Jin, H Yu, J Ke, P Ding, Y Yi, X Jiang, X Duan, J Tang, DT Chang, X Wu, ... Nature communications 12 (1), 1851, 2021 | 120 | 2021 |
| Prognostic imaging biomarkers in glioblastoma: development and independent validation on the basis of multiregion and quantitative analysis of MR images Y Cui, KK Tha, S Terasaka, S Yamaguchi, J Wang, K Kudo, L Xing, ... Radiology 278 (2), 546-553, 2016 | 116 | 2016 |
| Development and validation of a deep learning CT signature to predict survival and chemotherapy benefit in gastric cancer: a multicenter, retrospective study Y Jiang, C Jin, H Yu, J Wu, C Chen, Q Yuan, W Huang, Y Hu, Y Xu, ... Annals of surgery 274 (6), e1153-e1161, 2021 | 114 | 2021 |
| Noninvasive imaging evaluation of tumor immune microenvironment to predict outcomes in gastric cancer Y Jiang, H Wang, J Wu, C Chen, Q Yuan, W Huang, T Li, S Xi, Y Hu, ... Annals of Oncology 31 (6), 760-768, 2020 | 110 | 2020 |
| Heterogeneous Enhancement Patterns of Tumor-adjacent Parenchyma at MR Imaging Are Associated with Dysregulated Signaling Pathways and Poor Survival in Breast Cancer J Wu, B Li, X Sun, G Cao, DL Rubin, S Napel, DM Ikeda, AW Kurian, R Li Radiology 285 (2), 401-413, 2017 | 102 | 2017 |
| 4D CT sorting based on patient internal anatomy R Li, JH Lewis, LI Cervino, SB Jiang Physics in medicine and biology 54 (15), 4821, 2009 | 101 | 2009 |
| A unifying probabilistic Bayesian approach to derive electron density from MRI for radiation therapy treatment planning MSR Gudur, W Hara, QT Le, L Wang, L Xing, R Li Physics in medicine and biology 59 (21), 6595, 2014 | 100 | 2014 |
| Triple attention learning for classification of 14 thoracic diseases using chest radiography H Wang, S Wang, Z Qin, Y Zhang, R Li, Y Xia Medical Image Analysis 67, 101846, 2021 | 99 | 2021 |
| Radiomics and radiogenomics for precision radiotherapy J Wu, KK Tha, L Xing, R Li Journal of radiation research 59 (suppl_1), i25-i31, 2018 | 98 | 2018 |
