Wu J - Search Results

1

Using time-series chest radiographs and laboratory data by machine learning for identifying pulmonary infection and colonization of Acinetobacter baumannii.

Zeng Z, Wu J, Qin G, Yu D, He Z, Zeng W, Zhou H, Lin J, Liu L, Qi C, Chen W. Zeng Z, et al. Among authors: wu j. Respir Res. 2024 Jan 3;25(1):2. doi: 10.1186/s12931-023-02624-x. Respir Res. 2024. PMID: 38172893 Free PMC article.

2

Synthesis of Mammogram From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs.

Jiang G, Wei J, Xu Y, He Z, Zeng H, Wu J, Qin G, Chen W, Lu Y. Jiang G, et al. Among authors: wu j. IEEE Trans Med Imaging. 2021 Aug;40(8):2080-2091. doi: 10.1109/TMI.2021.3071544. Epub 2021 Jul 30. IEEE Trans Med Imaging. 2021. PMID: 33826513

3

Improved detection of solitary pulmonary nodules on radiographs compared with deep bone suppression imaging.

Wu J, Chen W, Zeng F, Ma L, Xu W, Yang W, Qin G. Wu J, et al. Quant Imaging Med Surg. 2021 Oct;11(10):4342-4353. doi: 10.21037/qims-20-1346. Quant Imaging Med Surg. 2021. PMID: 34603989 Free PMC article.

4

Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms.

Ma M, Liu R, Wen C, Xu W, Xu Z, Wang S, Wu J, Pan D, Zheng B, Qin G, Chen W. Ma M, et al. Among authors: wu j. Eur Radiol. 2022 Mar;32(3):1652-1662. doi: 10.1007/s00330-021-08271-4. Epub 2021 Oct 13. Eur Radiol. 2022. PMID: 34647174 Clinical Trial.

5

Can a Computer-Aided Mass Diagnosis Model Based on Perceptive Features Learned From Quantitative Mammography Radiology Reports Improve Junior Radiologists' Diagnosis Performance? An Observer Study.

He Z, Li Y, Zeng W, Xu W, Liu J, Ma X, Wei J, Zeng H, Xu Z, Wang S, Wen C, Wu J, Feng C, Ma M, Qin G, Lu Y, Chen W. He Z, et al. Among authors: wu j. Front Oncol. 2021 Dec 17;11:773389. doi: 10.3389/fonc.2021.773389. eCollection 2021. Front Oncol. 2021. PMID: 34976817 Free PMC article.

6

Architectural distortion detection based on superior-inferior directional context and anatomic prior knowledge in digital breast tomosynthesis.

Li Y, He Z, Ma X, Zeng W, Liu J, Xu W, Xu Z, Wang S, Wen C, Zeng H, Wu J, Chen W, Lu Y. Li Y, et al. Among authors: wu j. Med Phys. 2022 Jun;49(6):3749-3768. doi: 10.1002/mp.15631. Epub 2022 Apr 5. Med Phys. 2022. PMID: 35338787

7

Multi-scale cascaded networks for synthesis of mammogram to decrease intensity distortion and increase model-based perceptual similarity.

Jiang G, He Z, Zhou Y, Wei J, Xu Y, Zeng H, Wu J, Qin G, Chen W, Lu Y. Jiang G, et al. Among authors: wu j. Med Phys. 2023 Feb;50(2):837-853. doi: 10.1002/mp.16007. Epub 2022 Oct 24. Med Phys. 2023. PMID: 36196045

8

Atypical architectural distortion detection in digital breast tomosynthesis: a computer-aided detection model with adaptive receptive field.

Li Y, He Z, Pan J, Zeng W, Liu J, Zeng Z, Xu W, Xu Z, Wang S, Wen C, Zeng H, Wu J, Ma X, Chen W, Lu Y. Li Y, et al. Among authors: wu j. Phys Med Biol. 2023 Feb 10;68(4). doi: 10.1088/1361-6560/acaba7. Phys Med Biol. 2023. PMID: 36595312

9

Potential of digital chest radiography-based deep learning in screening and diagnosing pneumoconiosis: An observational study.

Zhang Y, Zheng B, Zeng F, Cheng X, Wu T, Peng Y, Zhang Y, Xie Y, Yi W, Chen W, Wu J, Li L. Zhang Y, et al. Among authors: wu t, wu j. Medicine (Baltimore). 2024 Jun 21;103(25):e38478. doi: 10.1097/MD.0000000000038478. Medicine (Baltimore). 2024. PMID: 38905434 Free PMC article.

10

CircRNAs in Tumor Radioresistance.

Gao Y, Gao J, Lin F, Wang T, Huo S, Wu J, Zhou Q, Zhang C. Gao Y, et al. Among authors: wu j. Biomolecules. 2022 Oct 28;12(11):1586. doi: 10.3390/biom12111586. Biomolecules. 2022. PMID: 36358938 Free PMC article. Review.

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