| Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre … L Feng, Z Liu, C Li, Z Li, X Lou, L Shao, Y Wang, Y Huang, H Chen, ... The Lancet Digital Health 4 (1), e8-e17, 2022 | 102 | 2022 |
| Multiparametric MRI and whole slide image-based pretreatment prediction of pathological response to neoadjuvant chemoradiotherapy in rectal cancer: a multicenter radiopathomic … L Shao, Z Liu, L Feng, X Lou, Z Li, XY Zhang, X Wan, X Zhou, K Sun, ... Annals of surgical oncology 27, 4296-4306, 2020 | 39 | 2020 |
| Deep learning with quantitative features of magnetic resonance images to predict biochemical recurrence of radical prostatectomy: A multi-center study Y Yan, L Shao, Z Liu, W He, G Yang, J Liu, H Xia, Y Zhang, H Chen, C Liu, ... Cancers 13 (12), 3098, 2021 | 25 | 2021 |
| Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy L Shao, Y Yan, Z Liu, X Ye, H Xia, X Zhu, Y Zhang, Z Zhang, H Chen, ... Theranostics 10 (22), 10200, 2020 | 25 | 2020 |
| Patient-level prediction of multi-classification task at prostate MRI based on end-to-end framework learning from diagnostic logic of radiologists L Shao, Z Liu, Y Yan, J Liu, X Ye, H Xia, X Zhu, Y Zhang, Z Zhang, H Chen, ... IEEE Transactions on Biomedical Engineering 68 (12), 3690-3700, 2021 | 14 | 2021 |
| A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods K Sun, Z Liu, G Chen, Z Zhou, S Zhong, Z Tang, S Wang, G Zhou, X Zhou, ... Journal of Affective Disorders 300, 1-9, 2022 | 12 | 2022 |
| Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer: A multicenter study B Li, F Li, Z Liu, FP Xu, G Ye, W Li, Y Zhang, T Zhu, L Shao, C Chen, ... The Breast 66, 183-190, 2022 | 11 | 2022 |
| What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments? LT Zhao, ZY Liu, WF Xie, LZ Shao, J Lu, J Tian, JG Liu Military Medical Research 10 (1), 29, 2023 | 7 | 2023 |
| MRI-derived radiomics models for diagnosis, aggressiveness, and prognosis evaluation in prostate cancer X Zhu, L Shao, Z Liu, Z Liu, J He, J Liu, H Ping, J Lu Journal of Zhejiang University-SCIENCE B 24 (8), 663-681, 2023 | 5 | 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 |
| Sparse phase retrieval using a physics-informed neural network for Fourier ptychographic microscopy Z Zhang, T Wang, S Feng, Y Yang, C Lai, X Li, L Shao, X Jiang Optics Letters 47 (19), 4909-4912, 2022 | 4 | 2022 |
| Impact of response patterns for patients with advanced acral melanoma treated with anti-programmed death-1 monotherapy L Zhou, L Shao, S Gao, C Cui, Z Chi, X Sheng, B Tang, L Mao, B Lian, ... British Journal of Dermatology 188 (1), 112-121, 2023 | 3 | 2023 |
| Patient-level grading prediction of prostate cancer from mp-MRI via GMINet L Shao, Z Liu, J Liu, Y Yan, K Sun, X Liu, J Lu, J Tian Computers in Biology and Medicine 150, 106168, 2022 | 3 | 2022 |
| 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 |
| Tumor Mutation Burden–Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning C Sun, T Luo, Z Liu, J Ge, L Shao, X Liu, B Li, S Zhang, Q Qiu, W Wei, ... The American Journal of Pathology 193 (12), 2111-2121, 2023 | 1 | 2023 |
| Improving initial nodal staging of T3 rectal cancer using quantitative image features X Zhou, Z Liu, D Zhang, L Wu, K Sun, L Shao, L Huang, Z Li, J Tian Journal of British Surgery 107 (11), e541-e542, 2020 | 1 | 2020 |
| Radiopathomics strategy combining multiparametric MRI with whole-slide image for pretreatment prediction of tumor regression grade to neoadjuvant chemoradiotherapy in rectal cancer L Shao, Z Liu, L Feng, X Lou, Z Li, XY Zhang, X Zhou, K Sun, DF Zhang, ... Cancer Research 80 (16_Supplement), 2014-2014, 2020 | 1 | 2020 |
| MP51-05 RADIOMICS MODEL FOR PREDICTING RENAL SINUS INVASION IN RENAL CELL CARCINOMA Y Yan, H Zhu, L Zhou, G Ji, C Liang, L Shao, X Jiang, F Zhang, S Zhang The Journal of Urology 211 (5S), e843, 2024 | | 2024 |
| Improving prediction of treatment response and prognosis in colorectal cancer with AI-based medical image analysis X Liu, S Zhang, L Shao, C Sun, B Li, W Wei, Z Ying, Z Liu, J Tian The Innovation Medicine, 100069-1-100069-12, 2024 | | 2024 |
Jie TianVerified email at ieee.org
