Strong DM - Search Results

1

Patient Portals: An Underused Resource for Improving Patient Engagement.

Tulu B, Trudel J, Strong DM, Johnson SA, Sundaresan D, Garber L. Tulu B, et al. Among authors: strong dm. Chest. 2016 Jan;149(1):272-7. doi: 10.1378/chest.14-2559. Epub 2016 Jan 6. Chest. 2016. PMID: 26066707 Review.

2

Smartphone-based wound assessment system for patients with diabetes.

Wang L, Pedersen PC, Strong DM, Tulu B, Agu E, Ignotz R. Wang L, et al. Among authors: strong dm. IEEE Trans Biomed Eng. 2015 Feb;62(2):477-88. doi: 10.1109/TBME.2014.2358632. Epub 2014 Sep 17. IEEE Trans Biomed Eng. 2015. PMID: 25248175

3

An Automatic Assessment System of Diabetic Foot Ulcers Based on Wound Area Determination, Color Segmentation, and Healing Score Evaluation.

Wang L, Pedersen PC, Strong DM, Tulu B, Agu E, Ignotz R, He Q. Wang L, et al. Among authors: strong dm. J Diabetes Sci Technol. 2015 Aug 7;10(2):421-8. doi: 10.1177/1932296815599004. J Diabetes Sci Technol. 2015. PMID: 26253144 Free PMC article.

4

Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification.

Wang L, Pedersen PC, Agu E, Strong DM, Tulu B. Wang L, et al. Among authors: strong dm. IEEE Trans Biomed Eng. 2017 Sep;64(9):2098-2109. doi: 10.1109/TBME.2016.2632522. Epub 2016 Nov 23. IEEE Trans Biomed Eng. 2017. PMID: 27893380

5

Boundary determination of foot ulcer images by applying the associative hierarchical random field framework.

Wang L, Pedersen PC, Agu E, Strong D, Tulu B. Wang L, et al. J Med Imaging (Bellingham). 2019 Apr;6(2):024002. doi: 10.1117/1.JMI.6.2.024002. Epub 2019 Apr 21. J Med Imaging (Bellingham). 2019. PMID: 31037245 Free PMC article.

6

Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches.

Wagh A, Jain S, Mukherjee A, Agu E, Pedersen P, Strong D, Tulu B, Lindsay C, Liu Z. Wagh A, et al. IEEE Access. 2020;8:181590-181604. doi: 10.1109/access.2020.3014175. Epub 2020 Aug 6. IEEE Access. 2020. PMID: 33251080 Free PMC article.

7

Machine learning models for synthesizing actionable care decisions on lower extremity wounds.

Nguyen H, Agu E, Tulu B, Strong D, Mombini H, Pedersen P, Lindsay C, Dunn R, Loretz L. Nguyen H, et al. Smart Health (Amst). 2020 Nov;18:100139. doi: 10.1016/j.smhl.2020.100139. Epub 2020 Sep 17. Smart Health (Amst). 2020. PMID: 33299924 Free PMC article.

8

Fine-grained diabetic wound depth and granulation tissue amount assessment using bilinear convolutional neural network.

Zhao X, Liu Z, Agu E, Wagh A, Jain S, Lindsay C, Tulu B, Strong D, Kan J. Zhao X, et al. IEEE Access. 2019;7:179151-179162. doi: 10.1109/access.2019.2959027. Epub 2019 Dec 12. IEEE Access. 2019. PMID: 33777590 Free PMC article.

9

Comprehensive Assessment of Fine-Grained Wound Images Using a Patch-Based CNN With Context-Preserving Attention.

Liu Z, Agu E, Pedersen P, Lindsay C, Tulu B, Strong D. Liu Z, et al. IEEE Open J Eng Med Biol. 2021;2:224-234. doi: 10.1109/ojemb.2021.3092207. Epub 2021 Jun 24. IEEE Open J Eng Med Biol. 2021. PMID: 34532712 Free PMC article.

10

Search and Evaluation of Coevolving Problem and Solution Spaces in a Complex Healthcare Design Science Research Project.

Strong DM, Tulu B, Agu E, Pedersen PC. Strong DM, et al. IEEE Trans Eng Manag. 2023 Mar;70(3):912-926. doi: 10.1109/tem.2020.3014811. Epub 2020 Aug 28. IEEE Trans Eng Manag. 2023. PMID: 37009627 Free PMC article.

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