Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Bengisu Tulu"'
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 404-420 (2024)
Goal: Augment a small, imbalanced, wound dataset by using semi-supervised learning with a secondary dataset. Then utilize the augmented wound dataset for deep learning-based wound assessment. Methods: The clinically-validated Photographic Wound Asses
Externí odkaz:
https://doaj.org/article/0dd534e396e0400a8669feb4673feb1a
Autor:
Celine Larkin, Bengisu Tulu, Soussan Djamasbi, Roscoe Garner, Fatima Varzgani, Mariam Siddique, John Pietro, Edwin D Boudreaux
Publikováno v:
JMIR Mental Health, Vol 10, p e49783 (2023)
BackgroundEmergency departments (EDs) manage many patients with suicide risk, but effective interventions for suicidality are challenging to implement in this setting. ReachCare is a technology-facilitated version of an evidence-based intervention fo
Externí odkaz:
https://doaj.org/article/58c50122caa441f78cc61d4ce0368cd4
Autor:
Celine Larkin, Soussan Djamasbi, Edwin D Boudreaux, Fatima Varzgani, Roscoe Garner, Mariam Siddique, John Pietro, Bengisu Tulu
Publikováno v:
JMIR Formative Research, Vol 7, p e41422 (2023)
BackgroundMany individuals with suicide risk present to acute care settings such as emergency departments (EDs). However, staffing and time constraints mean that many EDs are not well equipped to deliver evidence-based interventions for patients expe
Externí odkaz:
https://doaj.org/article/8442d6fc43284ce8929fb6e0c97b2917
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 224-234 (2021)
Goal: Chronic wounds affect 6.5 million Americans. Wound assessment via algorithmic analysis of smartphone images has emerged as a viable option for remote assessment. Methods: We comprehensively score wounds based on the clinically-validated Photogr
Externí odkaz:
https://doaj.org/article/128466a0897a4795bd42efbf9f8fb9e7
Autor:
Ameya Wagh, Shubham Jain, Apratim Mukherjee, Emmanuel Agu, Peder C. Pedersen, Diane Strong, Bengisu Tulu, Clifford Lindsay, Ziyang Liu
Publikováno v:
IEEE Access, Vol 8, Pp 181590-181604 (2020)
Smartphone wound image analysis has recently emerged as a viable way to assess healing progress and provide actionable feedback to patients and caregivers between hospital appointments. Segmentation is a key image analysis step, after which attribute
Externí odkaz:
https://doaj.org/article/8ad23a6e8d164ca283366c423aa4c9e9
Autor:
Xixuan Zhao, Ziyang Liu, Emmanuel Agu, Ameya Wagh, Shubham Jain, Clifford Lindsay, Bengisu Tulu, Diane Strong, Jiangming Kan
Publikováno v:
IEEE Access, Vol 7, Pp 179151-179162 (2019)
Diabetes mellitus is a serious chronic disease that affects millions of people worldwide. In patients with diabetes, ulcers occur frequently and heal slowly. Grading and staging of diabetic ulcers is the first step of effective treatment and wound de
Externí odkaz:
https://doaj.org/article/2857831ee60d495799a6e601f4ef9cae
Publikováno v:
ACM Transactions on Management Information Systems. 14:1-4
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology. :1-17
Publikováno v:
Proceedings of the Annual Hawaii International Conference on System Sciences.
Publikováno v:
Proceedings of the Annual Hawaii International Conference on System Sciences.