Shen H - Search Results

1

Improving lesion conspicuity in abdominal dual-energy CT with deep learning image reconstruction: a prospective study with five readers.

Zhong J, Wang L, Shen H, Li J, Lu W, Shi X, Xing Y, Hu Y, Ge X, Ding D, Yan F, Du L, Yao W, Zhang H. Zhong J, et al. Among authors: shen h. Eur Radiol. 2023 Aug;33(8):5331-5343. doi: 10.1007/s00330-023-09556-6. Epub 2023 Mar 28. Eur Radiol. 2023. PMID: 36976337

2

Comparison of Computed and Acquired DWI in the Assessment of Rectal Cancer: Image Quality and Preoperative Staging.

Xia Y, Wang L, Wu Z, Tan J, Fu M, Fu C, Pan Z, Zhu L, Yan F, Shen H, Ma Q, Cai G. Xia Y, et al. Among authors: shen h. Front Oncol. 2022 Mar 18;12:788731. doi: 10.3389/fonc.2022.788731. eCollection 2022. Front Oncol. 2022. PMID: 35371999 Free PMC article.

3

Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT.

Zhong J, Shen H, Chen Y, Xia Y, Shi X, Lu W, Li J, Xing Y, Hu Y, Ge X, Ding D, Jiang Z, Yao W. Zhong J, et al. Among authors: shen h. J Digit Imaging. 2023 Aug;36(4):1390-1407. doi: 10.1007/s10278-023-00806-z. Epub 2023 Apr 18. J Digit Imaging. 2023. PMID: 37071291 Free PMC article.

4

Computed Diffusion-Weighted Images of Rectal Cancer: Image Quality, Restaging, and Treatment Response after Neoadjuvant Therapy.

Xia Y, Zhu L, Cai G, Du L, Wang L, Feng W, Fu C, Ma Q, Dong Y, Pan Z, Yan F, Shen H, Li W, Zhang H. Xia Y, et al. Among authors: shen h. J Magn Reson Imaging. 2024 Jan;59(1):297-308. doi: 10.1002/jmri.28766. Epub 2023 May 11. J Magn Reson Imaging. 2024. PMID: 37165908

5

Accelerated T2W Imaging with Deep Learning Reconstruction in Staging Rectal Cancer: A Preliminary Study.

Zhu L, Shi B, Ding B, Xia Y, Wang K, Feng W, Dai J, Xu T, Wang B, Yuan F, Shen H, Dong H, Zhang H. Zhu L, et al. Among authors: shen h. J Imaging Inform Med. 2024 Dec 11. doi: 10.1007/s10278-024-01345-x. Online ahead of print. J Imaging Inform Med. 2024. PMID: 39663320

6

Feasibility Study on Predicting Recurrence Risk of Bladder Cancer Based on Radiomics Features of Multiphase CT Images.

Qian J, Yang L, Hu S, Gu S, Ye J, Li Z, Du H, Shen H. Qian J, et al. Among authors: shen h. Front Oncol. 2022 Jun 2;12:899897. doi: 10.3389/fonc.2022.899897. eCollection 2022. Front Oncol. 2022. PMID: 35719972 Free PMC article.

7

Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study.

Zhao L, Bao J, Qiao X, Jin P, Ji Y, Li Z, Zhang J, Su Y, Ji L, Shen J, Zhang Y, Niu L, Xie W, Hu C, Shen H, Wang X, Liu J, Tian J. Zhao L, et al. Among authors: shen h, shen j. Eur J Nucl Med Mol Imaging. 2023 Feb;50(3):727-741. doi: 10.1007/s00259-022-06036-9. Epub 2022 Nov 21. Eur J Nucl Med Mol Imaging. 2023. PMID: 36409317 Free PMC article.

8

A new solution model for cardiac medical image segmentation.

Shang H, Zhao S, Du H, Zhang J, Xing W, Shen H. Shang H, et al. Among authors: shen h. J Thorac Dis. 2020 Dec;12(12):7298-7312. doi: 10.21037/jtd-20-3339. J Thorac Dis. 2020. PMID: 33447419 Free PMC article.

9

Value of the Application of CE-MRI Radiomics and Machine Learning in Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer.

Zhu Y, Yang L, Shen H. Zhu Y, et al. Among authors: shen h. Front Oncol. 2021 Nov 19;11:757111. doi: 10.3389/fonc.2021.757111. eCollection 2021. Front Oncol. 2021. PMID: 34868967 Free PMC article.

10

Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin-Transformer Model and Biparametric MRI: A Multicenter Retrospective Study.

Zhao L, Bao J, Wang X, Qiao X, Shen J, Zhang Y, Jin P, Ji Y, Zhang J, Su Y, Ji L, Li Z, Lu J, Hu C, Shen H, Tian J, Liu J. Zhao L, et al. Among authors: shen h, shen j. J Magn Reson Imaging. 2024 Jun;59(6):2101-2112. doi: 10.1002/jmri.28963. Epub 2023 Aug 21. J Magn Reson Imaging. 2024. PMID: 37602942

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