Jia Wu
Jia Wu
Assistant Professor, MD Anderson Cancer Center
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Zitiert von
Zitiert von
Early-stage non–small cell lung cancer: quantitative imaging characteristics of 18F fluorodeoxyglucose PET/CT allow prediction of distant metastasis
J Wu, T Aguilera, D Shultz, M Gudur, DL Rubin, BW Loo Jr, M Diehn, R Li
Radiology 281 (1), 270, 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, 2018
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, 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
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
Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular PathwaysImaging Subtypes of Breast Cancer
J Wu, Y Cui, X Sun, G Cao, B Li, DM Ikeda, AW Kurian, R Li
Clinical Cancer Research 23 (13), 3334-3342, 2017
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
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
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
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), 1-10, 2019
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 (9), 3583-3592, 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), 1-11, 2021
Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer
J Wu, X Li, X Teng, DL Rubin, S Napel, BL Daniel, R Li
Breast Cancer Research 20 (1), 1-15, 2018
Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images
L Liu, K Li, W Qin, T Wen, L Li, J Wu, J Gu
Medical & biological engineering & computing 56 (2), 183-199, 2018
A collaborative online AI engine for CT-based COVID-19 diagnosis
Y Xu, L Ma, F Yang, Y Chen, K Ma, J Yang, X Yang, Y Chen, C Shu, Z Fan, ...
medRxiv, 2020
A new approach to kinematic feature extraction from the human right ventricle for classification of hypertension: a feasibility study
J Wu, Y Wang, MA Simon, JC Brigham
Physics in Medicine & Biology 57 (23), 7905, 2012
A quantitative CT imaging signature predicts survival and complements established prognosticators in stage I non-small cell lung cancer
J Lee, B Li, Y Cui, X Sun, J Wu, H Zhu, J Yu, MF Gensheimer, BW Loo Jr, ...
International Journal of Radiation Oncology* Biology* Physics 102 (4), 1098-1106, 2018
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
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