Tong T - Search Results

1

Dual-Input Transformer: An End-to-End Model for Preoperative Assessment of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Ultrasonography.

Tong T, Li D, Gu J, Chen G, Bai G, Yang X, Wang K, Jiang T, Tian J. Tong T, et al. IEEE J Biomed Health Inform. 2023 Jan;27(1):251-262. doi: 10.1109/JBHI.2022.3216031. Epub 2023 Jan 4. IEEE J Biomed Health Inform. 2023. PMID: 36264731

2

Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images.

Zhang C, Wang K, An Y, He K, Tong T, Tian J. Zhang C, et al. Among authors: tong t. Biomed Opt Express. 2019 Aug 22;10(9):4742-4756. doi: 10.1364/BOE.10.004742. eCollection 2019 Sep 1. Biomed Opt Express. 2019. PMID: 31565522 Free PMC article.

3

Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography.

Yin L, Wang K, Tong T, An Y, Meng H, Yang X, Tian J. Yin L, et al. Among authors: tong t. IEEE Trans Biomed Eng. 2020 Jul;67(7):2023-2032. doi: 10.1109/TBME.2019.2953732. Epub 2019 Nov 15. IEEE Trans Biomed Eng. 2020. PMID: 31751214

4

Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data.

Tong T, Huang W, Wang K, He Z, Yin L, Yang X, Zhang S, Tian J. Tong T, et al. Photoacoustics. 2020 May 21;19:100190. doi: 10.1016/j.pacs.2020.100190. eCollection 2020 Sep. Photoacoustics. 2020. PMID: 32617261 Free PMC article.

5

Preoperative prediction of peritoneal metastasis in colorectal cancer using a clinical-radiomics model.

Li M, Sun K, Dai W, Xiang W, Zhang Z, Zhang R, Wang R, Li Q, Mo S, Han L, Tong T, Liu Z, Tian J, Cai G. Li M, et al. Among authors: tong t. Eur J Radiol. 2020 Nov;132:109326. doi: 10.1016/j.ejrad.2020.109326. Epub 2020 Oct 5. Eur J Radiol. 2020. PMID: 33049651

6

Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography.

Yin L, Wang K, Tong T, Wang Q, An Y, Yang X, Tian J. Yin L, et al. Among authors: tong t. IEEE Trans Biomed Eng. 2021 Nov;68(11):3388-3398. doi: 10.1109/TBME.2021.3071823. Epub 2021 Oct 19. IEEE Trans Biomed Eng. 2021. PMID: 33830917

7

Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study.

Liu X, Zhang D, Liu Z, Li Z, Xie P, Sun K, Wei W, Dai W, Tang Z, Ding Y, Cai G, Tong T, Meng X, Tian J. Liu X, et al. Among authors: tong t. EBioMedicine. 2021 Jul;69:103442. doi: 10.1016/j.ebiom.2021.103442. Epub 2021 Jun 20. EBioMedicine. 2021. PMID: 34157487 Free PMC article.

8

Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.

An C, Li D, Li S, Li W, Tong T, Liu L, Jiang D, Jiang L, Ruan G, Hai N, Fu Y, Wang K, Zhuo S, Tian J. An C, et al. Among authors: tong t. Eur J Nucl Med Mol Imaging. 2022 Mar;49(4):1187-1199. doi: 10.1007/s00259-021-05573-z. Epub 2021 Oct 15. Eur J Nucl Med Mol Imaging. 2022. PMID: 34651229

9

Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study.

Gu J, Tong T, He C, Xu M, Yang X, Tian J, Jiang T, Wang K. Gu J, et al. Among authors: tong t. Eur Radiol. 2022 Mar;32(3):2099-2109. doi: 10.1007/s00330-021-08293-y. Epub 2021 Oct 15. Eur Radiol. 2022. PMID: 34654965

10

Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis.

Tong T, Gu J, Xu D, Song L, Zhao Q, Cheng F, Yuan Z, Tian S, Yang X, Tian J, Wang K, Jiang T. Tong T, et al. BMC Med. 2022 Mar 2;20(1):74. doi: 10.1186/s12916-022-02258-8. BMC Med. 2022. PMID: 35232446 Free PMC article.

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