Kuang K - Search Results

1

Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet.

Jin L, Yang J, Kuang K, Ni B, Gao Y, Sun Y, Gao P, Ma W, Tan M, Kang H, Chen J, Li M. Jin L, et al. Among authors: kuang k. EBioMedicine. 2020 Dec;62:103106. doi: 10.1016/j.ebiom.2020.103106. Epub 2020 Nov 10. EBioMedicine. 2020. PMID: 33186809 Free PMC article.

2

Prediction of the Growth Rate of Early-Stage Lung Adenocarcinoma by Radiomics.

Tan M, Ma W, Sun Y, Gao P, Huang X, Lu J, Chen W, Wu Y, Jin L, Tang L, Kuang K, Li M. Tan M, et al. Among authors: kuang k. Front Oncol. 2021 Apr 15;11:658138. doi: 10.3389/fonc.2021.658138. eCollection 2021. Front Oncol. 2021. PMID: 33937070 Free PMC article.

3

Three-Dimensional Convolutional Neural Network-Based Prediction of Epidermal Growth Factor Receptor Expression Status in Patients With Non-Small Cell Lung Cancer.

Huang X, Sun Y, Tan M, Ma W, Gao P, Qi L, Lu J, Yang Y, Wang K, Chen W, Jin L, Kuang K, Duan S, Li M. Huang X, et al. Among authors: kuang k. Front Oncol. 2022 Feb 2;12:772770. doi: 10.3389/fonc.2022.772770. eCollection 2022. Front Oncol. 2022. PMID: 35186727 Free PMC article.

4

ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT Series.

Zhao W, Sun Y, Kuang K, Yang J, Li G, Ni B, Jiang Y, Jiang B, Liu J, Li M. Zhao W, et al. Among authors: kuang k. Cancers (Basel). 2022 Jul 28;14(15):3675. doi: 10.3390/cancers14153675. Cancers (Basel). 2022. PMID: 35954342 Free PMC article.

5

Non-contrast and contrast enhanced computed tomography radiomics in preoperative discrimination of lung invasive and non-invasive adenocarcinoma.

Sun Y, Zhao W, Kuang K, Jin L, Gao P, Duan S, Xiao Y, Liu J, Li M. Sun Y, et al. Among authors: kuang k. Front Med (Lausanne). 2022 Nov 4;9:939434. doi: 10.3389/fmed.2022.939434. eCollection 2022. Front Med (Lausanne). 2022. PMID: 36405608 Free PMC article.

6

Improving the efficiency of identifying malignant pulmonary nodules before surgery via a combination of artificial intelligence CT image recognition and serum autoantibodies.

Ding Y, Zhang J, Zhuang W, Gao Z, Kuang K, Tian D, Deng C, Wu H, Chen R, Lu G, Chen G, Mendogni P, Migliore M, Kang MW, Kanzaki R, Tang Y, Yang J, Shi Q, Qiao G. Ding Y, et al. Among authors: kuang k. Eur Radiol. 2023 May;33(5):3092-3102. doi: 10.1007/s00330-022-09317-x. Epub 2022 Dec 8. Eur Radiol. 2023. PMID: 36480027 Clinical Trial.

7

Deep learning predicts malignancy and metastasis of solid pulmonary nodules from CT scans.

Mu J, Kuang K, Ao M, Li W, Dai H, Ouyang Z, Li J, Huang J, Guo S, Yang J, Yang L. Mu J, et al. Among authors: kuang k. Front Med (Lausanne). 2023 May 19;10:1145846. doi: 10.3389/fmed.2023.1145846. eCollection 2023. Front Med (Lausanne). 2023. PMID: 37275359 Free PMC article.

8

RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.

Jin L, Gu S, Wei D, Adhinarta JK, Kuang K, Zhang YJ, Pfister H, Ni B, Yang J, Li M. Jin L, et al. Among authors: kuang k. IEEE Trans Med Imaging. 2023 Sep 11;PP. doi: 10.1109/TMI.2023.3313627. Online ahead of print. IEEE Trans Med Imaging. 2023. PMID: 37695967

9

Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening.

Chen B, Liu Z, Lu J, Li Z, Kuang K, Yang J, Wang Z, Sun Y, Du B, Qi L, Li M. Chen B, et al. Among authors: kuang k. Respir Res. 2023 Nov 28;24(1):299. doi: 10.1186/s12931-023-02611-2. Respir Res. 2023. PMID: 38017476 Free PMC article.

10

SGDA: Towards 3-D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention.

Xu R, Liu Z, Luo Y, Hu H, Shen L, Du B, Kuang K, Yang J. Xu R, et al. Among authors: kuang k. IEEE/ACM Trans Comput Biol Bioinform. 2024 Jul-Aug;21(4):1093-1105. doi: 10.1109/TCBB.2023.3253713. Epub 2024 Aug 9. IEEE/ACM Trans Comput Biol Bioinform. 2024. PMID: 37028322

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