Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Andinet, Enquobahrie"'
Autor:
Jacob Moore, Harald Scheirich, Shreeraj Jadhav, Andinet Enquobahrie, Beatriz Paniagua, Andrew Wilson, Aaron Bray, Ganesh Sankaranarayanan, Rachel B. Clipp
Publikováno v:
Frontiers in Virtual Reality, Vol 4 (2023)
Introduction: Human error is one of the leading causes of medical error. It is estimated that human error leads to between 250,000 and 440,000 deaths each year. Medical simulation has been shown to improve the skills and confidence of clinicians and
Externí odkaz:
https://doaj.org/article/5da220df4cfc4f64867a58e487d8fdaa
Autor:
Andinet Enquobahrie, Sam Horvath, Sreekanth Arikatla, Avi Rosenberg, Kevin Cleary, Karun Sharma
Publikováno v:
Healthcare Technology Letters (2019)
The overall prevalence of chronic kidney disease in the general population is ∼14% with more than 661,000 Americans having a kidney failure. Ultrasound (US)-guided renal biopsy is a critically important tool in the evaluation and management of rena
Externí odkaz:
https://doaj.org/article/3fcd60179b6d45b4849115947559b00d
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 17:403-411
Surgery for nasal airway obstruction (NAO) has a high failure rate, with up to 50% of patients reporting persistent symptoms postoperatively. Virtual surgery planning has the potential to improve surgical outcomes, but current manual methods are too
Autor:
Shusil Dangi, Hina Shah, Antonio R. Porras, Beatriz Paniagua, Cristian A. Linte, Marius Linguraru, Andinet Enquobahrie
Publikováno v:
Healthcare Technology Letters (2017)
Craniosynostosis is a congenital malformation of the infant skull typically treated via corrective surgery. To accurately quantify the extent of deformation and identify the optimal correction strategy, the patient-specific skull model extracted from
Externí odkaz:
https://doaj.org/article/2eff40136449406c84fae545197d75c2
Autor:
Samuel Gerber, Marc Niethammer, Ebrahim Ebrahim, Joseph Piven, Stephen R. Dager, Martin Styner, Stephen Aylward, Andinet Enquobahrie
Brain pathologies often manifest as partial or complete loss of tissue. The goal of many neuroimaging studies is to capture the location and amount of tissue changes with respect to a clinical variable of interest, such as disease progression. Morpho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd3243c257c3cd19d42860de481ccc2d
http://arxiv.org/abs/2208.05891
http://arxiv.org/abs/2208.05891
Publikováno v:
International journal of computer assisted radiology and surgery. 17(2)
Surgery for nasal airway obstruction (NAO) has a high failure rate, with up to 50% of patients reporting persistent symptoms postoperatively. Virtual surgery planning has the potential to improve surgical outcomes, but current manual methods are too
Autor:
Venkata Sreekanth Arikatla, Di Qi, Lora Cavuoto, Steven D. Schwaitzberg, Yaoyu Fu, Karthikeyan Panneerselvam, Andinet Enquobahrie, Suvranu De
Publikováno v:
Surg Endosc
BACKGROUND: The virtual basic laparoscopic skill trainer suturing simulator (VBLaST-SS©) was developed to simulate the intracorporeal suturing task in the FLS program. The purpose of this study was to evaluate the training effectiveness and particip
Autor:
Jared Vicory, Aaron Bray, Andinet Enquobahrie, Jerry Heneghan, Philip Asare, Robert Hubal, Rachel B. Clipp, Stephanie C. TerMaath, Jeffrey B. Webb
Publikováno v:
SN Comprehensive Clinical Medicine. 1:362-377
The Pulse Physiology Platform is an open-source software application designed to enable accurate and consistent, real-time physiologic simulations for improved medical training and clinical decision-making tools. The platform includes a physiology en
Autor:
Gary F. Rogers, Antonio R. Porras, Samantha Horvath, Graham C. Graham, Robert F. Keating, Marius George Linguraru, Andinet Enquobahrie, Liyun Tu, Albert K. Oh, Deki Tsering
Publikováno v:
Plastic and reconstructive surgery. 146(3)
BACKGROUND Current methods to analyze three-dimensional photography do not quantify intracranial volume, an important metric of development. This study presents the first noninvasive, radiation-free, accurate, and reproducible method to quantify intr
Autor:
Andinet Enquobahrie, Deepak Roy Chittajallu, Rahul, Suvranu De, Jack Norfleet, Uwe Kruger, James K. Lukan, Sangrock Lee, Hanglin Ye, Tatiana Boyko
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
This article presents a real-time approach for classification of burn depth based on B-mode ultrasound imaging. A grey-level co-occurrence matrix (GLCM) computed from the ultrasound images of the tissue is employed to construct the textural feature s