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Connection

Yuming Jiang to Tomography, X-Ray Computed

This is a "connection" page, showing publications Yuming Jiang has written about Tomography, X-Ray Computed.
Connection Strength

2.519
  1. Jiang Y, Jin C, Yu H, Wu J, Chen C, Yuan Q, Huang W, Hu Y, Xu Y, Zhou Z, Fisher GA, Li G, Li R. Development and Validation of a Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer: A Multicenter, Retrospective Study. Ann Surg. 2021 Dec 01; 274(6):e1153-e1161.
    View in: PubMed
    Score: 0.508
  2. Jiang Y, Liang X, Han Z, Wang W, Xi S, Li T, Chen C, Yuan Q, Li N, Yu J, Xie Y, Xu Y, Zhou Z, Poultsides GA, Li G, Li R. Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study. Lancet Digit Health. 2021 Jun; 3(6):e371-e382.
    View in: PubMed
    Score: 0.491
  3. Jiang Y, Liang X, Wang W, Chen C, Yuan Q, Zhang X, Li N, Chen H, Yu J, Xie Y, Xu Y, Zhou Z, Li G, Li R. Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning. JAMA Netw Open. 2021 Jan 04; 4(1):e2032269.
    View in: PubMed
    Score: 0.477
  4. Jiang Y, Chen C, Xie J, Wang W, Zha X, Lv W, Chen H, Hu Y, Li T, Yu J, Zhou Z, Xu Y, Li G. Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancer. EBioMedicine. 2018 Oct; 36:171-182.
    View in: PubMed
    Score: 0.407
  5. Sun Z, Zhang T, Ahmad MU, Zhou Z, Qiu L, Zhou K, Xiong W, Xie J, Zhang Z, Chen C, Yuan Q, Chen Y, Feng W, Xu Y, Yu L, Wang W, Yu J, Li G, Jiang Y. Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer. J Clin Invest. 2024 Jan 25; 134(6).
    View in: PubMed
    Score: 0.147
  6. Huang W, Xiong W, Tang L, Chen C, Yuan Q, Zhang C, Zhou K, Sun Z, Zhang T, Han Z, Feng H, Liang X, Zhong Y, Deng H, Yu L, Xu Y, Wang W, Shen L, Li G, Jiang Y. Non-invasive CT imaging biomarker to predict immunotherapy response in gastric cancer: a multicenter study. J Immunother Cancer. 2023 Nov 21; 11(11).
    View in: PubMed
    Score: 0.146
  7. Jiang Y, Zhang Z, Yuan Q, Wang W, Wang H, Li T, Huang W, Xie J, Chen C, Sun Z, Yu J, Xu Y, Poultsides GA, Xing L, Zhou Z, Li G, Li R. Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study. Lancet Digit Health. 2022 May; 4(5):e340-e350.
    View in: PubMed
    Score: 0.131
  8. Zhang Y, Li L, Wang J, Yang X, Zhou H, He J, Xie Y, Jiang Y, Sun W, Zhang X, Zhou G, Zhang Z. Texture-preserving diffusion model for CBCT-to-CT synthesis. Med Image Anal. 2025 Jan; 99:103362.
    View in: PubMed
    Score: 0.039
  9. Dai J, Dong G, Zhang C, He W, Liu L, Wang T, Jiang Y, Zhao W, Zhao X, Xie Y, Liang X. Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning. Med Image Anal. 2024 Jan; 91:102998.
    View in: PubMed
    Score: 0.036
  10. He W, Zhang C, Dai J, Liu L, Wang T, Liu X, Jiang Y, Li N, Xiong J, Wang L, Xie Y, Liang X. A statistical deformation model-based data augmentation method for volumetric medical image segmentation. Med Image Anal. 2024 Jan; 91:102984.
    View in: PubMed
    Score: 0.036
  11. Li Z, Jiang Y, Lu M, Li R, Xia Y. Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution. IEEE Trans Med Imaging. 2023 Sep; 42(9):2678-2689.
    View in: PubMed
    Score: 0.036
  12. Zhu Y, Zhao H, Wang T, Deng L, Yang Y, Jiang Y, Li N, Chan Y, Dai J, Zhang C, Li Y, Xie Y, Liang X. Sinogram domain metal artifact correction of CT via deep learning. Comput Biol Med. 2023 Mar; 155:106710.
    View in: PubMed
    Score: 0.035
  13. Sun Z, Jiang Y, Chen C, Zheng H, Huang W, Xu B, Tang W, Yuan Q, Zhou K, Liang X, Chen H, Han Z, Feng H, Yu S, Hu Y, Yu J, Zhou Z, Wang W, Xu Y, Li G. Radiomics signature based on computed tomography images for the preoperative prediction of lymph node metastasis at individual stations in gastric cancer: A multicenter study. Radiother Oncol. 2021 Dec; 165:179-190.
    View in: PubMed
    Score: 0.032
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.