Shu J - Search Results

1

Folic Acid-Conjugated CuFeSe₂ Nanoparticles for Targeted T2-Weighted Magnetic Resonance Imaging and Computed Tomography of Tumors In Vivo.

Yan Y, Yang C, Dai G, Zhang Y, Tu G, Li Y, Yang L, Shu J. Yan Y, et al. Among authors: shu j. Int J Nanomedicine. 2021 Sep 17;16:6429-6440. doi: 10.2147/IJN.S320277. eCollection 2021. Int J Nanomedicine. 2021. PMID: 34556988 Free PMC article.

2

Radiomics model of magnetic resonance imaging for predicting pathological grading and lymph node metastases of extrahepatic cholangiocarcinoma.

Yang C, Huang M, Li S, Chen J, Yang Y, Qin N, Huang D, Shu J. Yang C, et al. Among authors: shu j. Cancer Lett. 2020 Feb 1;470:1-7. doi: 10.1016/j.canlet.2019.11.036. Epub 2019 Dec 3. Cancer Lett. 2020. PMID: 31809800

3

A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model.

Yao X, Huang X, Yang C, Hu A, Zhou G, Lei J, Shu J. Yao X, et al. Among authors: shu j. JMIR Med Inform. 2020 Oct 5;8(10):e23578. doi: 10.2196/23578. JMIR Med Inform. 2020. PMID: 33016889 Free PMC article.

4

Correction: A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model.

Yao X, Huang X, Yang C, Hu A, Zhou G, Ju M, Lei J, Shu J. Yao X, et al. Among authors: shu j. JMIR Med Inform. 2021 Jan 13;9(1):e25337. doi: 10.2196/25337. JMIR Med Inform. 2021. PMID: 33439852 Free PMC article.

5

Amphiphilic Polymer-Modified Uniform CuFeSe₂ Nanoparticles for CT/MR Dual-Modal Imaging.

Wu M, Fu S, Shu J, Yu K. Wu M, et al. Among authors: shu j. Contrast Media Mol Imaging. 2020 Dec 30;2020:4891325. doi: 10.1155/2020/4891325. eCollection 2020. Contrast Media Mol Imaging. 2020. PMID: 33456402 Free PMC article.

6

Axillary lymph node metastasis prediction by contrast-enhanced computed tomography images for breast cancer patients based on deep learning.

Liu Z, Ni S, Yang C, Sun W, Huang D, Su H, Shu J, Qin N. Liu Z, et al. Among authors: shu j. Comput Biol Med. 2021 Sep;136:104715. doi: 10.1016/j.compbiomed.2021.104715. Epub 2021 Aug 5. Comput Biol Med. 2021. PMID: 34388460

7

Feasibility of magnetic resonance imaging-based radiomics features for preoperative prediction of extrahepatic cholangiocarcinoma stage.

Huang X, Shu J, Yan Y, Chen X, Yang C, Zhou T, Li M. Huang X, et al. Among authors: shu j. Eur J Cancer. 2021 Sep;155:227-235. doi: 10.1016/j.ejca.2021.06.053. Epub 2021 Aug 12. Eur J Cancer. 2021. PMID: 34391055

8

Prediction of Metastasis in the Axillary Lymph Nodes of Patients With Breast Cancer: A Radiomics Method Based on Contrast-Enhanced Computed Tomography.

Yang C, Dong J, Liu Z, Guo Q, Nie Y, Huang D, Qin N, Shu J. Yang C, et al. Among authors: shu j. Front Oncol. 2021 Sep 20;11:726240. doi: 10.3389/fonc.2021.726240. eCollection 2021. Front Oncol. 2021. PMID: 34616678 Free PMC article.

9

Application of indocyanine green and near-infrared fluorescence imaging for the assessment of peritoneal dialysis-related complications.

Zhang Y, Yan G, Han F, Yang L, Shu J, Liu L, Zhang W, Shang A, Bai J. Zhang Y, et al. Among authors: shu j. Photodiagnosis Photodyn Ther. 2022 Sep;39:102881. doi: 10.1016/j.pdpdt.2022.102881. Epub 2022 May 8. Photodiagnosis Photodyn Ther. 2022. PMID: 35545201

10

Efficient Axillary Lymph Node Detection Via Two-stage Spatial-information-fusion-based CNN.

Liu Z, Huang D, Yang C, Shu J, Li J, Qin N. Liu Z, et al. Among authors: shu j. Comput Methods Programs Biomed. 2022 Aug;223:106953. doi: 10.1016/j.cmpb.2022.106953. Epub 2022 Jun 14. Comput Methods Programs Biomed. 2022. PMID: 35772232

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