Metaxas DN - Search Results

1

Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images.

Yi J, Wu P, Tang H, Liu B, Huang Q, Qu H, Han L, Fan W, Hoeppner DJ, Metaxas DN. Yi J, et al. Among authors: metaxas dn. IEEE Trans Med Imaging. 2021 Sep;40(9):2403-2414. doi: 10.1109/TMI.2021.3077285. Epub 2021 Aug 31. IEEE Trans Med Imaging. 2021. PMID: 33945472

2

CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation.

Gu R, Wang G, Lu J, Zhang J, Lei W, Chen Y, Liao W, Zhang S, Li K, Metaxas DN, Zhang S. Gu R, et al. Among authors: metaxas dn. Med Image Anal. 2023 Oct;89:102904. doi: 10.1016/j.media.2023.102904. Epub 2023 Jul 18. Med Image Anal. 2023. PMID: 37506556

3

Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions.

Madabhushi A, Metaxas DN. Madabhushi A, et al. Among authors: metaxas dn. IEEE Trans Med Imaging. 2003 Feb;22(2):155-69. doi: 10.1109/TMI.2002.808364. IEEE Trans Med Imaging. 2003. PMID: 12715992

4

Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.

Zhennan Yan, Yiqiang Zhan, Zhigang Peng, Shu Liao, Shinagawa Y, Shaoting Zhang, Metaxas DN, Xiang Sean Zhou. Zhennan Yan, et al. Among authors: metaxas dn. IEEE Trans Med Imaging. 2016 May;35(5):1332-1343. doi: 10.1109/TMI.2016.2524985. Epub 2016 Feb 3. IEEE Trans Med Imaging. 2016. PMID: 26863652

5

Attentive neural cell instance segmentation.

Yi J, Wu P, Jiang M, Huang Q, Hoeppner DJ, Metaxas DN. Yi J, et al. Among authors: metaxas dn. Med Image Anal. 2019 Jul;55:228-240. doi: 10.1016/j.media.2019.05.004. Epub 2019 May 10. Med Image Anal. 2019. PMID: 31103790

6

Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.

Qu H, Wu P, Huang Q, Yi J, Yan Z, Li K, Riedlinger GM, De S, Zhang S, Metaxas DN. Qu H, et al. Among authors: metaxas dn. IEEE Trans Med Imaging. 2020 Nov;39(11):3655-3666. doi: 10.1109/TMI.2020.3002244. Epub 2020 Oct 28. IEEE Trans Med Imaging. 2020. PMID: 32746112

7

Dynamic MRI reconstruction with end-to-end motion-guided network.

Huang Q, Xian Y, Yang D, Qu H, Yi J, Wu P, Metaxas DN. Huang Q, et al. Among authors: metaxas dn. Med Image Anal. 2021 Feb;68:101901. doi: 10.1016/j.media.2020.101901. Epub 2020 Nov 13. Med Image Anal. 2021. PMID: 33285480

8

Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation.

Wang W, Xia Q, Hu Z, Yan Z, Li Z, Wu Y, Huang N, Gao Y, Metaxas D, Zhang S. Wang W, et al. IEEE Trans Med Imaging. 2021 Oct;40(10):2629-2641. doi: 10.1109/TMI.2021.3053008. Epub 2021 Sep 30. IEEE Trans Med Imaging. 2021. PMID: 33471751

9

Multi-Stage Feature Fusion Network for Video Super-Resolution.

Song H, Xu W, Liu D, Liu B, Liu Q, Metaxas DN. Song H, et al. Among authors: metaxas dn. IEEE Trans Image Process. 2021;30:2923-2934. doi: 10.1109/TIP.2021.3056868. Epub 2021 Feb 12. IEEE Trans Image Process. 2021. PMID: 33560986

10

Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning.

Qu H, Zhou M, Yan Z, Wang H, Rustgi VK, Zhang S, Gevaert O, Metaxas DN. Qu H, et al. Among authors: metaxas dn. NPJ Precis Oncol. 2021 Sep 23;5(1):87. doi: 10.1038/s41698-021-00225-9. NPJ Precis Oncol. 2021. PMID: 34556802 Free PMC article.

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