Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kyle Sunderland"'
Autor:
R. Jarrett Rushmore, Kyle Sunderland, Holly Carrington, Justine Chen, Michael Halle, Andras Lasso, G. Papadimitriou, N. Prunier, Elizabeth Rizzoni, Brynn Vessey, Peter Wilson-Braun, Yogesh Rathi, Marek Kubicki, Sylvain Bouix, Edward Yeterian, Nikos Makris
Publikováno v:
Frontiers in Neuroanatomy, Vol 16 (2022)
Magnetic resonance imaging (MRI)-based brain segmentation has recently been revolutionized by deep learning methods. These methods use large numbers of annotated segmentations to train algorithms that have the potential to perform brain segmentations
Externí odkaz:
https://doaj.org/article/8ce05a27f8e548f2a24ce42aa065f489
Autor:
Andras Lasso, Christian Herz, Hannah Nam, Alana Cianciulli, Steve Pieper, Simon Drouin, Csaba Pinter, Samuelle St-Onge, Chad Vigil, Stephen Ching, Kyle Sunderland, Gabor Fichtinger, Ron Kikinis, Matthew A. Jolley
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Cardiovascular disease is a significant cause of morbidity and mortality in the developed world. 3D imaging of the heart's structure is critical to the understanding and treatment of cardiovascular disease. However, open-source tools for image analys
Externí odkaz:
https://doaj.org/article/75c42409792c40f5b6bd1eb2ba5e600f
Autor:
Tamas Ungi, Laura Connolly, Russell H. Taylor, John F. Rudan, Kyle Sunderland, Anton Deguet, Andras Lasso, Parvin Mousavi, Gabor Fichtinger
Publikováno v:
2021 IEEE International Conference on Autonomous Systems (ICAS).
Introduction: In this paper, we present and assess a proof of concept platform for semi-autonomous, cooperative robotic surgery. The platform is easily reproducible thanks to simple hardware components and open-source software. Moreover, the design a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab44ff312e164054e3fd4c052f860f9a
https://doi.org/10.1109/icas49788.2021.9551149
https://doi.org/10.1109/icas49788.2021.9551149
Autor:
Ben Sainsbury, Tamas Ungi, Gabor Fichtinger, Catherine O. Wu, Mihail Filippov, Kyle Sunderland
Publikováno v:
Medical Imaging: Image-Guided Procedures
PURPOSE: Virtual reality (VR) simulation is an effective training system for medical residents, allowing them to gain and improve upon surgical skills in a realistic environment while also receiving feedback on their performance. Percutaneous nephrol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02aa889b6aefb5c605910fac6a25127d
https://doi.org/10.1117/12.2549354
https://doi.org/10.1117/12.2549354
Autor:
Abigael Schonewille, Tamas Ungi, Grace Pigeau, Kyle Sunderland, Victoria Wu, Gabor Fichtinger
Publikováno v:
Medical Imaging: Image-Guided Procedures
PURPOSE: Scoliosis screening is currently only implemented in a few countries due to the lack of a safe and accurate measurement method. Spinal ultrasound is a viable alternative to X-ray, but manual annotation of images is difficult and time consumi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aecb62a687d192b0de52733a71e0c255
https://doi.org/10.1117/12.2549584
https://doi.org/10.1117/12.2549584
Publikováno v:
Medical Imaging: Image-Guided Procedures
Purpose: Surgical training could be improved by automatic detection of workflow steps, and similar applications of image processing. A platform to collect and organize tracking and video data would enable rapid development of image processing solutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03295747e37b59ddc806f4f537b340f8
https://doi.org/10.1117/12.2549878
https://doi.org/10.1117/12.2549878
Autor:
Christopher Schlenger, Kyle Sunderland, Matthew E. Oetgen, Hastings Greer, Victoria Wu, Stephen R. Aylward, Tamas Ungi, Gabor Fichtinger, Zachary M. C. Baum, Kevin Cleary
Publikováno v:
IEEE Trans Biomed Eng
Objective: Integrate tracked ultrasound and AI methods to provide a safer and more accessible alternative to X-ray for scoliosis measurement. We propose automatic ultrasound segmentation for 3-dimensional spine visualization and scoliosis measurement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4edc8edd52c01304bfbc12ff52c71256
https://europepmc.org/articles/PMC7654705/
https://europepmc.org/articles/PMC7654705/
Publikováno v:
Medical Imaging: Image-Guided Procedures
PURPOSE: In radiation therapy treatment planning systems, structures are represented as parallel 2D contours. For treatment planning algorithms, structures must be converted into labelmap (i.e. 3D image denoting structure inside/outside) representati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cd6bb5b804446a5c26ebd57315be9ef
https://doi.org/10.1117/12.2254978
https://doi.org/10.1117/12.2254978
Publikováno v:
Medical Imaging: Image-Guided Procedures
PURPOSE: In radiotherapy treatment planning systems, structures of interest such as targets and organs at risk are stored as 2D contours on evenly spaced planes. In order to be used in various algorithms, contours must be converted into binary labelm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21eb9878d589dda87924991873d8f6a6
https://doi.org/10.1117/12.2216310
https://doi.org/10.1117/12.2216310
Publikováno v:
Medical Imaging: Image-Guided Procedures
Segmented structures such as targets or organs at risk are typically stored as 2D contours contained on evenly spaced cross sectional images (slices). Contour interpolation algorithms are implemented in radiation oncology treatment planning software
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e402b3c163fc91347c40f94c8ab4a79e
https://doi.org/10.1117/12.2081436
https://doi.org/10.1117/12.2081436