Zobrazeno 1 - 10
of 49
pro vyhledávání: '"John Galeotti"'
Publikováno v:
BME Frontiers, Vol 2022 (2022)
Objective and Impact Statement. We propose a weakly- and semisupervised, probabilistic needle-and-reverberation-artifact segmentation algorithm to separate the desired tissue-based pixel values from the superimposed artifacts. Our method models the i
Externí odkaz:
https://doaj.org/article/56a116fbb0664e94ae19bb3e3e280861
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 2, Pp 1-9 (2014)
We present a novel device mounted on the fingertip for acquiring and transmitting visual information through haptic channels. In contrast to previous systems in which the user interrogates an intermediate representation of visual information, such as
Externí odkaz:
https://doaj.org/article/7ef9a2282fe243d7bc1ce13c4ce1739d
Publikováno v:
International Journal of Biomedical Imaging, Vol 2010 (2010)
We have developed a method for extracting anatomical shape models from n-dimensional images using an image analysis framework we call Shells and Spheres. This framework utilizes a set of spherical operators centered at each image pixel, grown to reac
Externí odkaz:
https://doaj.org/article/29af1a6158484c91a6b409ec0ccaca1e
Publikováno v:
Journal of Pathology Informatics, Vol 2, Iss 2, Pp 5-5 (2011)
With modern automated microscopes and digital cameras, pathologists no longer have to examine samples looking through microscope binoculars. Instead, the slide is digitized to an image, which can then be examined on a screen. This creates the possibi
Externí odkaz:
https://doaj.org/article/a7076202f1bc47d7aea45be416a56b25
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d5ccc07a7c44073e414f771585d6988
https://doi.org/10.1109/icra46639.2022.9812410
https://doi.org/10.1109/icra46639.2022.9812410
Autor:
Nico Zevallos, Evan Harber, null Abhimanyu, Kirtan Patel, Yizhu Gu, Kenny Sladick, Francis Guyette, Leonard Weiss, Michael R. Pinsky, Hernando Gomez, John Galeotti, Howie Choset
Advanced resuscitative technologies, such as Extra Corporeal Membrane Oxygenation (ECMO) cannulation or Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA), are technically difficult even for skilled medical personnel. This paper descri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5b05c7f7ca59ea56eaa963eeb70aebf
http://arxiv.org/abs/2107.02839
http://arxiv.org/abs/2107.02839
Publikováno v:
ISBI
We present a novel algorithm for needle tracking in ultrasound-guided needle insertion. Most previous research assumes that in ultrasound images the needle is a straight and bright line, but needles can bend due to the interaction with heterogeneous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e92416a43d949bb167580e38412ca626
https://doi.org/10.1109/isbi48211.2021.9433804
https://doi.org/10.1109/isbi48211.2021.9433804
Autor:
Gautam Rajendrakumar Gare, Hai V Tran, Bennett P. deBoisblanc, John Galeotti, Andrew Schoenling, Ricardo Luis Rodriguez, Vipin Philip
Publikováno v:
ISBI
We propose using a pre-trained segmentation model to perform diagnostic classification in order to achieve better generalization and interpretability, terming the technique reverse-transfer learning. We present an architecture to convert segmentation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce3e3c72bfe2576613a37632c5284db9
https://doi.org/10.1109/isbi48211.2021.9433826
https://doi.org/10.1109/isbi48211.2021.9433826
Autor:
Alex Ling Yu Hung, John Galeotti
Publikováno v:
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections ISBN: 9783030882099
DGM4MICCAI/DALI@MICCAI
DGM4MICCAI/DALI@MICCAI
The use of deep learning in medical image analysis is hindered by insufficient annotated data and the inability of models to generalize between different imaging settings. We address these problems using a novel variational style-transfer neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71801461cab0aba8109fac17d73a8878
https://doi.org/10.1007/978-3-030-88210-5_2
https://doi.org/10.1007/978-3-030-88210-5_2
Publikováno v:
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections ISBN: 9783030882099
DGM4MICCAI/DALI@MICCAI
DGM4MICCAI/DALI@MICCAI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73fa7ebadd41f512dc1859f8e8248050
https://doi.org/10.1007/978-3-030-88210-5_7
https://doi.org/10.1007/978-3-030-88210-5_7