Diao S - Search Results

1

Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis.

Diao S, Chen P, Showkatian E, Bandyopadhyay R, Rojas FR, Zhu B, Hong L, Aminu M, Saad MB, Salehjahromi M, Muneer A, Sujit SJ, Behrens C, Gibbons DL, Heymach JV, Kalhor N, Wistuba II, Solis Soto LM, Zhang J, Qin W, Wu J. Diao S, et al. Cancers (Basel). 2023 Oct 1;15(19):4824. doi: 10.3390/cancers15194824. Cancers (Basel). 2023. PMID: 37835518 Free PMC article.

2

Computer-Aided Pathologic Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning.

Diao S, Hou J, Yu H, Zhao X, Sun Y, Lambo RL, Xie Y, Liu L, Qin W, Luo W. Diao S, et al. Am J Pathol. 2020 Aug;190(8):1691-1700. doi: 10.1016/j.ajpath.2020.04.008. Epub 2020 Apr 29. Am J Pathol. 2020. PMID: 32360568 Free article.

3

Weakly Supervised Framework for Cancer Region Detection of Hepatocellular Carcinoma in Whole-Slide Pathologic Images Based on Multiscale Attention Convolutional Neural Network.

Diao S, Tian Y, Hu W, Hou J, Lambo R, Zhang Z, Xie Y, Nie X, Zhang F, Racoceanu D, Qin W. Diao S, et al. Am J Pathol. 2022 Mar;192(3):553-563. doi: 10.1016/j.ajpath.2021.11.009. Epub 2021 Dec 9. Am J Pathol. 2022. PMID: 34896390 Free article.

4

Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images.

Liu X, Hu W, Diao S, Abera DE, Racoceanu D, Qin W. Liu X, et al. Among authors: diao s. Comput Methods Programs Biomed. 2024 May;248:108116. doi: 10.1016/j.cmpb.2024.108116. Epub 2024 Mar 3. Comput Methods Programs Biomed. 2024. PMID: 38518408

5

Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images.

Tang L, Diao S, Li C, He M, Ru K, Qin W. Tang L, et al. Among authors: diao s. Comput Med Imaging Graph. 2024 Jul;115:102378. doi: 10.1016/j.compmedimag.2024.102378. Epub 2024 Apr 16. Comput Med Imaging Graph. 2024. PMID: 38640621

6

Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation.

Zheng B, Zhang R, Diao S, Zhu J, Yuan Y, Cai J, Shao L, Li S, Qin W. Zheng B, et al. Among authors: diao s. Med Image Anal. 2024 Oct;97:103275. doi: 10.1016/j.media.2024.103275. Epub 2024 Jul 14. Med Image Anal. 2024. PMID: 39032395

7

Deep Multi-Magnification Similarity Learning for Histopathological Image Classification.

Diao S, Luo W, Hou J, Lambo R, Al-Kuhali HA, Zhao H, Tian Y, Xie Y, Zaki N, Qin W. Diao S, et al. IEEE J Biomed Health Inform. 2023 Jan 16;PP. doi: 10.1109/JBHI.2023.3237137. Online ahead of print. IEEE J Biomed Health Inform. 2023. PMID: 37021898

8

ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy.

Tian Y, Qin W, Xue F, Lambo R, Yue M, Diao S, Yu L, Xie Y, Cao H, Li S. Tian Y, et al. Among authors: diao s. IEEE J Biomed Health Inform. 2023 Jul;27(7):3258-3269. doi: 10.1109/JBHI.2023.3270664. Epub 2023 Jun 30. IEEE J Biomed Health Inform. 2023. PMID: 37099476

9

Dual-Activatable Nano-Immunomodulator for NIR-II Fluorescence Imaging-Guided Precision Cancer Photodynamic Immunotherapy.

Diao S, Zhang Z, Zhao S, Li Q, Zhang X, Yang X, Xu Z, Liu M, Zhou W, Li R, Xie C, Fan Q. Diao S, et al. Adv Sci (Weinh). 2024 Oct 14:e2409833. doi: 10.1002/advs.202409833. Online ahead of print. Adv Sci (Weinh). 2024. PMID: 39401431

10

CYP3A4 gene expression discloses individual differences in postoperative pain susceptibility and drug treatment response in patients with lung cancer.

Jia X, Nan X, Diao S, Wang D, Wang T, Fu D, Ni C, Chang Y, Liu J, Zhang X, Cao H, Zhang X, Li D, Zu Q, Liu G, Liu Z. Jia X, et al. Among authors: diao s. Int J Clin Exp Pathol. 2024 Sep 15;17(9):287-297. doi: 10.62347/FPMQ3141. eCollection 2024. Int J Clin Exp Pathol. 2024. PMID: 39399653 Free PMC article.

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