| Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: a multicentre study X Wu, H Hui, M Niu, L Li, L Wang, B He, X Yang, L Li, H Li, J Tian, Y Zha European Journal of Radiology 128, 109041, 2020 | 275 | 2020 |
| Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker B He, D Dong, Y She, C Zhou, M Fang, Y Zhu, H Zhang, Z Huang, T Jiang, ... Journal for immunotherapy of cancer 8 (2), 2020 | 125 | 2020 |
| Clinical and radiographic features of cardiac injury in patients with 2019 novel coronavirus pneumonia H Hui, Y Zhang, X Yang, X Wang, B He, L Li, H Li, J Tian, Y Chen MedRxiv, 2020.02. 24.20027052, 2020 | 84 | 2020 |
| Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images P Tian, B He, W Mu, K Liu, L Liu, H Zeng, Y Liu, L Jiang, P Zhou, Z Huang, ... Theranostics 11 (5), 2098, 2021 | 80 | 2021 |
| CT radiomics can help screen the coronavirus disease 2019 (COVID-19): a preliminary study M Fang, B He, L Li, D Dong, X Yang, C Li, L Meng, L Zhong, H Li, H Li, ... Science China Information Sciences 63, 1-8, 2020 | 65 | 2020 |
| Noninvasive prediction of high‐grade prostate cancer via biparametric MRI radiomics L Gong, M Xu, M Fang, J Zou, S Yang, X Yu, D Xu, L Zhou, H Li, B He, ... Journal of Magnetic Resonance Imaging 52 (4), 1102-1109, 2020 | 55 | 2020 |
| A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0 LZ Zhong, XL Fang, D Dong, H Peng, MJ Fang, CL Huang, BX He, L Lin, ... Radiotherapy and Oncology 151, 1-9, 2020 | 36 | 2020 |
| Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: a multicenter study X Wu, D Dong, L Zhang, M Fang, Y Zhu, B He, Z Ye, M Zhang, S Zhang, ... Medical Physics 48 (5), 2374-2385, 2021 | 26 | 2021 |
| Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study Y She, B He, F Wang, Y Zhong, T Wang, Z Liu, M Yang, B Yu, J Deng, ... EBioMedicine 86, 2022 | 23 | 2022 |
| Noninvasive CT radiomic model for preoperative prediction of lymph node metastasis in early cervical carcinoma J Chen, B He, D Dong, P Liu, H Duan, W Li, P Li, L Wang, H Fan, S Wang, ... The British Journal of Radiology 93 (1108), 20190558, 2020 | 23 | 2020 |
| A machine learning-based prediction of the micropapillary/solid growth pattern in invasive lung adenocarcinoma with radiomics B He, Y Song, L Wang, T Wang, Y She, L Hou, L Zhang, C Wu, BA Babu, ... Translational Lung Cancer Research 10 (2), 955, 2021 | 22 | 2021 |
| The potential of prostate gland radiomic features in identifying the Gleason score L Gong, M Xu, M Fang, B He, H Li, X Fang, D Dong, J Tian Computers in biology and medicine 144, 105318, 2022 | 18 | 2022 |
| Computed tomography-based radiomic model at node level for the prediction of normal-sized lymph node metastasis in cervical cancer Y Liu, H Fan, D Dong, P Liu, B He, L Meng, J Chen, C Chen, J Lang, ... Translational oncology 14 (8), 101113, 2021 | 18 | 2021 |
| Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and … BX He, YF Zhong, YB Zhu, JJ Deng, MJ Fang, YL She, TT Wang, Y Yang, ... Translational Lung Cancer Research 11 (4), 670, 2022 | 15 | 2022 |
| PGNet: Projection generative network for sparse‐view reconstruction of projection‐based magnetic particle imaging X Wu, B He, P Gao, P Zhang, Y Shang, L Zhang, J Zhong, J Jiang, H Hui, ... Medical physics 50 (4), 2354-2371, 2023 | 13 | 2023 |
| Cross-domain knowledge transfer based parallel-cascaded multi-scale attention network for limited view reconstruction in projection magnetic particle imaging X Wu, P Gao, P Zhang, Y Shang, B He, L Zhang, J Jiang, H Hui, J Tian Computers in Biology and Medicine 158, 106809, 2023 | 7 | 2023 |
| From signal to knowledge: The diagnostic value of raw data in the artificial intelligence prediction of human data for the first time B He, Y Guo, Y Zhu, L Tong, B Kong, K Wang, C Sun, H Li, F Huang, L Wu, ... Engineering, 2023 | 5 | 2023 |
| The applications of artificial intelligence in digestive system neoplasms: a review S Zhang, W Mu, D Dong, J Wei, M Fang, L Shao, Y Zhou, B He, S Zhang, ... Health Data Science 3, 0005, 2023 | 5 | 2023 |
| A multi-view co-training network for semi-supervised medical image-based prognostic prediction H Li, S Wang, B Liu, M Fang, R Cao, B He, S Liu, C Hu, D Dong, X Wang, ... Neural Networks 164, 455-463, 2023 | 3 | 2023 |
| From signal to knowledge: The diagnostic value of rawdata in artificial intelligence prediction of human data for the first time B He, Y Guo, Y Zhu, L Tong, B Kong, K Wang, C Sun, H Li, F Huang, L Wu, ... medRxiv, 2022.08. 01.22278299, 2022 | 3 | 2022 |
