Peng J - Search Results

1

Prediction of postoperative liver metastasis in pancreatic ductal adenocarcinoma based on multiparametric magnetic resonance radiomics combined with serological markers: a cohort study of machine learning.

Yuan Z, Shu Z, Peng J, Wang W, Hou J, Han L, Zheng G, Wei Y, Zhong J. Yuan Z, et al. Among authors: peng j. Abdom Radiol (NY). 2024 Jan;49(1):117-130. doi: 10.1007/s00261-023-04047-0. Epub 2023 Oct 11. Abdom Radiol (NY). 2024. PMID: 37819438

2

Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging.

Zhang Y, Peng J, Liu J, Ma Y, Shu Z. Zhang Y, et al. Among authors: peng j. Front Oncol. 2022 Apr 11;12:828904. doi: 10.3389/fonc.2022.828904. eCollection 2022. Front Oncol. 2022. PMID: 35480114 Free PMC article.

3

¹⁸F-FDG-PET Radiomics Based on White Matter Predicts The Progression of Mild Cognitive Impairment to Alzheimer Disease: A Machine Learning Study.

Peng J, Wang W, Song Q, Hou J, Jin H, Qin X, Yuan Z, Wei Y, Shu Z. Peng J, et al. Acad Radiol. 2023 Sep;30(9):1874-1884. doi: 10.1016/j.acra.2022.12.033. Epub 2022 Dec 30. Acad Radiol. 2023. PMID: 36587998 Free article.

4

Preoperative Prediction of Microsatellite Instability in Rectal Cancer Using Five Machine Learning Algorithms Based on Multiparametric MRI Radiomics.

Zhang Y, Liu J, Wu C, Peng J, Wei Y, Cui S. Zhang Y, et al. Among authors: peng j. Diagnostics (Basel). 2023 Jan 11;13(2):269. doi: 10.3390/diagnostics13020269. Diagnostics (Basel). 2023. PMID: 36673079 Free PMC article.

5

Coronary computed tomography angiography imaging features combined with computed tomography-fractional flow reserve, pericoronary fat attenuation index, and radiomics for the prediction of myocardial ischemia.

Hou J, Zheng G, Han L, Shu Z, Wang H, Yuan Z, Peng J, Gong X. Hou J, et al. Among authors: peng j. J Nucl Cardiol. 2023 Oct;30(5):1838-1850. doi: 10.1007/s12350-023-03221-7. Epub 2023 Mar 1. J Nucl Cardiol. 2023. PMID: 36859595

6

Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning.

Peng J, Wang W, Jin H, Qin X, Hou J, Yang Z, Shu Z. Peng J, et al. BMC Cancer. 2023 Apr 21;23(1):365. doi: 10.1186/s12885-023-10855-w. BMC Cancer. 2023. PMID: 37085830 Free PMC article.

7

Predicting mild cognitive impairment progression to Alzheimer's disease based on machine learning analysis of cortical morphological features.

Wang W, Peng J, Hou J, Yuan Z, Xie W, Mao G, Pan Y, Shao Y, Shu Z. Wang W, et al. Among authors: peng j. Aging Clin Exp Res. 2023 Aug;35(8):1721-1730. doi: 10.1007/s40520-023-02456-1. Epub 2023 Jul 5. Aging Clin Exp Res. 2023. PMID: 37405620

8

Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning.

Zhong X, Peng J, Shu Z, Song Q, Li D. Zhong X, et al. Among authors: peng j. Cancer Imaging. 2023 Sep 18;23(1):88. doi: 10.1186/s40644-023-00607-1. Cancer Imaging. 2023. PMID: 37723592 Free PMC article.

9

Prediction of Mild Cognitive Impairment Progression to Alzheimer's Disease Based on Diffusion Tensor Imaging-Derived Diffusion Parameters: Construction and Validation of a Nomogram.

Cheng X, Li D, Peng J, Shu Z, Xing X. Cheng X, et al. Among authors: peng j. Eur Neurol. 2023;86(6):408-417. doi: 10.1159/000534767. Epub 2023 Nov 3. Eur Neurol. 2023. PMID: 37926082 Free article.

10

Hybrid model of CT-fractional flow reserve, pericoronary fat attenuation index and radiomics for predicting the progression of WMH: a dual-center pilot study.

Hou J, Jin H, Zhang Y, Xu Y, Cui F, Qin X, Han L, Yuan Z, Zheng G, Peng J, Shu Z, Gong X. Hou J, et al. Among authors: peng j. Front Cardiovasc Med. 2023 Dec 19;10:1282768. doi: 10.3389/fcvm.2023.1282768. eCollection 2023. Front Cardiovasc Med. 2023. PMID: 38179506 Free PMC article.

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