He K - Search Results

1

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19.

Shi F, Wang J, Shi J, Wu Z, Wang Q, Tang Z, He K, Shi Y, Shen D. Shi F, et al. Among authors: he k. IEEE Rev Biomed Eng. 2021;14:4-15. doi: 10.1109/RBME.2020.2987975. Epub 2021 Jan 22. IEEE Rev Biomed Eng. 2021. PMID: 32305937 Review.

2

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.

He K, Cao X, Shi Y, Nie D, Gao Y, Shen D. He K, et al. IEEE Trans Med Imaging. 2018 Aug 13. doi: 10.1109/TMI.2018.2864958. Online ahead of print. IEEE Trans Med Imaging. 2018. PMID: 30106714

3

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.

He K, Cao X, Shi Y, Nie D, Gao Y, Shen D. He K, et al. IEEE Trans Med Imaging. 2019 Feb;38(2):585-595. doi: 10.1109/TMI.2018.2867837. Epub 2018 Aug 30. IEEE Trans Med Imaging. 2019. PMID: 30176583 Free PMC article.

4

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.

Wang S, He K, Nie D, Zhou S, Gao Y, Shen D. Wang S, et al. Among authors: he k. Med Image Anal. 2019 May;54:168-178. doi: 10.1016/j.media.2019.03.003. Epub 2019 Mar 21. Med Image Anal. 2019. PMID: 30928830 Free PMC article.

5

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation.

Xue J, He K, Nie D, Adeli E, Shi Z, Lee SW, Zheng Y, Liu X, Li D, Shen D. Xue J, et al. Among authors: he k. IEEE Trans Cybern. 2021 Apr;51(4):2153-2165. doi: 10.1109/TCYB.2019.2955178. Epub 2021 Mar 17. IEEE Trans Cybern. 2021. PMID: 31869812

6

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images.

He K, Zhao W, Xie X, Ji W, Liu M, Tang Z, Shi Y, Shi F, Gao Y, Liu J, Zhang J, Shen D. He K, et al. Pattern Recognit. 2021 May;113:107828. doi: 10.1016/j.patcog.2021.107828. Epub 2021 Jan 16. Pattern Recognit. 2021. PMID: 33495661 Free PMC article.

7

MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.

He K, Lian C, Adeli E, Huo J, Gao Y, Zhang B, Zhang J, Shen D. He K, et al. Med Image Anal. 2021 Jul;71:102039. doi: 10.1016/j.media.2021.102039. Epub 2021 Mar 23. Med Image Anal. 2021. PMID: 33831595

8

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images.

He K, Lian C, Zhang B, Zhang X, Cao X, Nie D, Gao Y, Zhang J, Shen D. He K, et al. IEEE Trans Med Imaging. 2021 Aug;40(8):2118-2128. doi: 10.1109/TMI.2021.3072956. Epub 2021 Jul 30. IEEE Trans Med Imaging. 2021. PMID: 33848243

9

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images.

Liu X, Yuan Q, Gao Y, He K, Wang S, Tang X, Tang J, Shen D. Liu X, et al. Among authors: he k. Pattern Recognit. 2022 Feb;122:108341. doi: 10.1016/j.patcog.2021.108341. Epub 2021 Sep 20. Pattern Recognit. 2022. PMID: 34565913 Free PMC article.

10

Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis.

Li Y, Zhou T, He K, Zhou Y, Shen D. Li Y, et al. Among authors: he k. IEEE Trans Med Imaging. 2023 Nov;42(11):3395-3407. doi: 10.1109/TMI.2023.3288001. Epub 2023 Oct 27. IEEE Trans Med Imaging. 2023. PMID: 37339020

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