Jia Wu
Citado por
Citado por
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
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
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
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
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
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
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
Radiomics and radiogenomics for precision radiotherapy
J Wu, KK Tha, L Xing, R Li
Journal of radiation research 59 (suppl_1), i25-i31, 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
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
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
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
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
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
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
Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects
MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar, MB Shaikh, N Akhtar, J Wu, ...
Authorea Preprints, 2023
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, 2023
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
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
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
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Artículos 1–20