Jiang J - Search Results

1

Deformation driven Seq2Seq longitudinal tumor and organs-at-risk prediction for radiotherapy.

Lee D, Alam SR, Jiang J, Zhang P, Nadeem S, Hu YC. Lee D, et al. Among authors: jiang j. Med Phys. 2021 Sep;48(9):4784-4798. doi: 10.1002/mp.15075. Epub 2021 Aug 3. Med Phys. 2021. PMID: 34245602 Free PMC article.

2

Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images.

Jiang J, Hu YC, Liu CJ, Halpenny D, Hellmann MD, Deasy JO, Mageras G, Veeraraghavan H. Jiang J, et al. IEEE Trans Med Imaging. 2019 Jan;38(1):134-144. doi: 10.1109/TMI.2018.2857800. Epub 2018 Jul 23. IEEE Trans Med Imaging. 2019. PMID: 30040632 Free PMC article.

3

Tumor-aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation.

Jiang J, Hu YC, Tyagi N, Zhang P, Rimner A, Mageras GS, Deasy JO, Veeraraghavan H. Jiang J, et al. Med Image Comput Comput Assist Interv. 2018 Sep;11071:777-785. doi: 10.1007/978-3-030-00934-2_86. Med Image Comput Comput Assist Interv. 2018. PMID: 30294726 Free PMC article.

4

Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.

Jiang J, Hu YC, Tyagi N, Zhang P, Rimner A, Deasy JO, Veeraraghavan H. Jiang J, et al. Med Phys. 2019 Oct;46(10):4392-4404. doi: 10.1002/mp.13695. Epub 2019 Aug 20. Med Phys. 2019. PMID: 31274206 Free PMC article.

5

Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithm.

Wang C, Rimner A, Hu YC, Tyagi N, Jiang J, Yorke E, Riyahi S, Mageras G, Deasy JO, Zhang P. Wang C, et al. Among authors: jiang j. Med Phys. 2019 Oct;46(10):4699-4707. doi: 10.1002/mp.13765. Epub 2019 Sep 6. Med Phys. 2019. PMID: 31410855 Free PMC article.

6

Patch-based generative adversarial neural network models for head and neck MR-only planning.

Klages P, Benslimane I, Riyahi S, Jiang J, Hunt M, Deasy JO, Veeraraghavan H, Tyagi N. Klages P, et al. Among authors: jiang j. Med Phys. 2020 Feb;47(2):626-642. doi: 10.1002/mp.13927. Epub 2019 Dec 25. Med Phys. 2020. PMID: 31733164 Free PMC article.

7

Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy.

Elguindi S, Zelefsky MJ, Jiang J, Veeraraghavan H, Deasy JO, Hunt MA, Tyagi N. Elguindi S, et al. Among authors: jiang j. Phys Imaging Radiat Oncol. 2019 Oct;12:80-86. doi: 10.1016/j.phro.2019.11.006. Epub 2019 Dec 12. Phys Imaging Radiat Oncol. 2019. PMID: 32355894 Free PMC article.

8

Library of deep-learning image segmentation and outcomes model-implementations.

Apte AP, Iyer A, Thor M, Pandya R, Haq R, Jiang J, LoCastro E, Shukla-Dave A, Sasankan N, Xiao Y, Hu YC, Elguindi S, Veeraraghavan H, Oh JH, Jackson A, Deasy JO. Apte AP, et al. Among authors: jiang j. Phys Med. 2020 May;73:190-196. doi: 10.1016/j.ejmp.2020.04.011. Epub 2020 May 1. Phys Med. 2020. PMID: 32371142 Free PMC article.

9

PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation.

Jiang J, Hu YC, Tyagi N, Rimner A, Lee N, Deasy JO, Berry S, Veeraraghavan H. Jiang J, et al. IEEE Trans Med Imaging. 2020 Dec;39(12):4071-4084. doi: 10.1109/TMI.2020.3011626. Epub 2020 Nov 30. IEEE Trans Med Imaging. 2020. PMID: 32746148 Free PMC article.

10

An attention-supervised full-resolution residual network for the segmentation of breast ultrasound images.

Qu X, Shi Y, Hou Y, Jiang J. Qu X, et al. Among authors: jiang j. Med Phys. 2020 Nov;47(11):5702-5714. doi: 10.1002/mp.14470. Epub 2020 Oct 6. Med Phys. 2020. PMID: 32964449 Free PMC article.

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