| A survey on large language models: Applications, challenges, limitations, and practical usage MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar, MB Shaikh, N Akhtar, J Wu, ... Authorea Preprints, 2023 | 449* | 2023 |
| 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 | 188 | 2016 |
| 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 | 168 | 2016 |
| 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 | 153 | 2018 |
| AI in drug discovery and its clinical relevance R Qureshi, M Irfan, TM Gondal, S Khan, J Wu, MU Hadi, J Heymach, X Le, ... Heliyon 9 (7), 2023 | 135 | 2023 |
| 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 | 131 | 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 | 129 | 2020 |
| Neoadjuvant chemotherapy plus nivolumab with or without ipilimumab in operable non-small cell lung cancer: the phase 2 platform NEOSTAR trial T Cascone, CH Leung, A Weissferdt, A Pataer, BW Carter, MCB Godoy, ... Nature medicine 29 (3), 593-604, 2023 | 116 | 2023 |
| Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation W Qin, J Wu, F Han, Y Yuan, W Zhao, B Ibragimov, J Gu, L Xing Physics in Medicine & Biology 63 (9), 095017, 2018 | 114 | 2018 |
| 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 | 109 | 2017 |
| Deep segmentation networks predict survival of non-small cell lung cancer S Baek, Y He, BG Allen, JM Buatti, BJ Smith, L Tong, Z Sun, J Wu, ... Scientific reports 9 (1), 17286, 2019 | 106 | 2019 |
| Radiomics and radiogenomics for precision radiotherapy J Wu, KK Tha, L Xing, R Li Journal of radiation research 59 (suppl_1), i25-i31, 2018 | 106 | 2018 |
| Unsupervised clustering of quantitative image phenotypes reveals breast cancer subtypes with distinct prognoses and molecular pathways J Wu, Y Cui, X Sun, G Cao, B Li, DM Ikeda, AW Kurian, R Li Clinical Cancer Research 23 (13), 3334-3342, 2017 | 105 | 2017 |
| Immune evolution from preneoplasia to invasive lung adenocarcinomas and underlying molecular features H Dejima, X Hu, R Chen, J Zhang, J Fujimoto, ER Parra, C Haymaker, ... Nature communications 12 (1), 2722, 2021 | 102 | 2021 |
| Robust intratumor partitioning to identify high-risk subregions in lung cancer: a pilot study J Wu, MF Gensheimer, X Dong, DL Rubin, S Napel, M Diehn, BW Loo Jr, ... International Journal of Radiation Oncology* Biology* Physics 95 (5), 1504-1512, 2016 | 98 | 2016 |
| Identifying relations between imaging phenotypes and molecular subtypes of breast cancer: Model discovery and external validation J Wu, X Sun, J Wang, Y Cui, F Kato, H Shirato, DM Ikeda, R Li Journal of Magnetic Resonance Imaging 46 (4), 1017-1027, 2017 | 95 | 2017 |
| Radiological tumour classification across imaging modality and histology J Wu, C Li, M Gensheimer, S Padda, F Kato, H Shirato, Y Wei, ... Nature Machine Intelligence 3 (9), 787-798, 2021 | 73 | 2021 |
| Machine Learning Models for the Identification of Prognostic and Predictive Cancer Biomarkers: A Systematic Review Q Al-Tashi, MB Saad, A Muneer, R Qureshi, S Mirjalili, A Sheshadri, X Le, ... International Journal of Molecular Sciences 24 (9), 7781, 2023 | 59 | 2023 |
| Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy J Wu, AT Mayer, R Li Seminars in cancer biology 84, 310-328, 2022 | 59 | 2022 |
| Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma Y Cui, S Ren, KK Tha, J Wu, H Shirato, R Li European radiology 27, 3583-3592, 2017 | 58 | 2017 |
