| Advanced gastric cancer: CT radiomics prediction and early detection of downstaging with neoadjuvant chemotherapy Q Xu, Z Sun, X Li, C Ye, C Zhou, L Zhang, G Lu European radiology 31 (11), 8765-8774, 2021 | 52 | 2021 |
| AI-based analysis of CT images for rapid triage of COVID-19 patients Q Xu, X Zhan, Z Zhou, Y Li, P Xie, S Zhang, X Li, Y Yu, C Zhou, L Zhang, ... NPJ digital medicine 4 (1), 75, 2021 | 29 | 2021 |
| Unveiling the structural properties of water-soluble lignin from gramineous biomass by autohydrolysis and its functionality as a bioactivator (anti-inflammatory and antioxidative) R Wang, L Zheng, Q Xu, L Xu, D Wang, J Li, G Lu, C Huang, Y Wang International Journal of Biological Macromolecules 191, 1087-1095, 2021 | 25 | 2021 |
| Development and validation of a clinically applicable deep learning strategy (HONORS) for pulmonary nodule classification at CT: a retrospective multicentre study W Lv, Y Wang, C Zhou, M Yuan, M Pang, X Fang, Q Zhang, C Huang, X Li, ... Lung Cancer 155, 78-86, 2021 | 18 | 2021 |
| Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning C Huang, W Lv, C Zhou, L Mao, Q Xu, X Li, L Qi, F Xia, X Li, Q Zhang, ... European Radiology 30, 6913-6923, 2020 | 10 | 2020 |
| Establishment of a novel system for the preoperative prediction of adherent perinephric fat (APF) occurrence based on a multi-mode and multi-parameter analysis of dual-energy CT G Li, J Dong, W Huang, Z Zhang, D Wang, M Zou, Q Xu, G Lu, Z Cao Translational Andrology and Urology 8 (5), 421, 2019 | 9 | 2019 |
| Machine learning radiomics model for early identification of small-cell lung cancer on computed tomography scans RP Shah, HM Selby, P Mukherjee, S Verma, P Xie, Q Xu, M Das, S Malik, ... JCO Clinical Cancer Informatics 5, 746-757, 2021 | 6 | 2021 |
| CT-based rapid triage of COVID-19 patients: risk prediction and progression estimation of ICU admission, mechanical ventilation, and death of hospitalized patients Q Xu, X Zhan, Z Zhou, Y Li, P Xie, S Zhang, X Li, Y Yu, C Zhou, L Zhang, ... medRxiv, 2020.11. 04.20225797, 2020 | 5 | 2020 |
| Distinguishing multiple primary lung cancers from intrapulmonary metastasis using CT-based radiomics M Huang, Q Xu, M Zhou, X Li, W Lv, C Zhou, R Wu, Z Zhou, X Chen, ... European Journal of Radiology 160, 110671, 2023 | 4 | 2023 |
| Application value of dual-energy computed tomography spectrum curve combined with clinical risk factors in predicting adherent perinephric fat G Li, W Huang, Q Xu, J Dong, Z Cao, D Wang, M Zou, G Lu Quantitative Imaging in Medicine and Surgery 9 (8), 1421, 2019 | 4 | 2019 |
| Clinically applicable deep learning strategy for pulmonary nodule risk Prediction: Insights into HONORS W Lv, Y Wang, C Zhou, S Huang, X Fang, Q Xu, Q Zhang, C Huang, X Li, ... medRxiv, 2020.02. 03.20020297, 2020 | 2 | 2020 |
| Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining X Zhan, Q Xu, Y Zheng, G Lu, O Gevaert arXiv preprint arXiv:2309.07332, 2023 | 1 | 2023 |
| A Tri-light Warning System for Hospitalized COVID-19 Patients: Credibility-based Risk Stratification under Data Shift C Xu, Q Xu, L Liu, M Zhou, Z Xing, Z Zhou, C Zhou, X Li, R Wang, Y Wu, ... medRxiv, 2022.12. 11.22283309, 2022 | 1 | 2022 |
| Predicting rapid progression and overall survival in stage II-III pancreatic cancer using a CT-based radiomic signature. Q Xu, DA Santos Toesca, E Schueler, A Jamalian, E Alkim, DT Chang, ... Journal of Clinical Oncology 42 (3_suppl), 706-706, 2024 | | 2024 |
| Tumor response as defined by iRECIST in gastrointestinal malignancies treated with PD-1 and PD-L1 inhibitors and correlation with survival P Xie, H Zheng, H Chen, K Wei, X Pan, Q Xu, Y Wang, C Tang, O Gevaert, ... BMC cancer 21, 1-10, 2021 | | 2021 |
