Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Gareth Funka-Lea"'
Publikováno v:
ISBI
Image segmentation is one of the most important building blocks in many medical imaging applications. Often, it is the first step in any artificial intelligence (AI) assisted diagnosis system. Most convolutional neural network image-to-image segmenta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ce955b2052afcd0af1f44dbe473e15b
https://doi.org/10.1109/isbi45749.2020.9098709
https://doi.org/10.1109/isbi45749.2020.9098709
Publikováno v:
Computer Vision – ACCV 2018 ISBN: 9783030208868
ACCV (1)
ACCV (1)
Unlike a conventional background inpainting approach that infers a missing area from image patches similar to the background, face completion requires semantic knowledge about the target object for realistic outputs. Current image inpainting approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::493671f895c765d1653defe697e02ce3
https://doi.org/10.1007/978-3-030-20887-5_24
https://doi.org/10.1007/978-3-030-20887-5_24
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 ISBN: 9783030009335
MICCAI (2)
MICCAI (2)
Using catheter ablation to treat atrial fibrillation increasingly relies on intracardiac echocardiography (ICE) for an anatomical delineation of the left atrium and the pulmonary veins that enter the atrium. However, it is a challenge to build an aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec2aa7d88e20d817bc8298c31752ec99
https://doi.org/10.1007/978-3-030-00934-2_60
https://doi.org/10.1007/978-3-030-00934-2_60
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319467252
MICCAI (3)
MICCAI (3)
We present a novel method for the automated extraction of blood vessel centerlines. There are two major contributions. First, in order to avoid the shortcuts to which minimal path methods are prone, we find optimal paths in a computed flow field. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bdba29c5d867c802cb9d1640d5d4dc2
https://doi.org/10.1007/978-3-319-46726-9_37
https://doi.org/10.1007/978-3-319-46726-9_37
Publikováno v:
Computer Vision and Image Understanding
Computer Vision and Image Understanding, Elsevier, 2016, 151, pp.29-46
Computer Vision and Image Understanding, Elsevier, 2016, 151, pp.29-46
Design of a geometric vascular model.Non-parametric Bayesian model, learned by kernel density estimation from manually segmented datasets.Design of a new sampling scheme, Adaptive Auxiliary Particle Filtering (AAPF).Mean-Shift clustering for bifurcat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61b89523fc602ddd7971e8a886e79841
https://hal.telecom-paris.fr/hal-02287240
https://hal.telecom-paris.fr/hal-02287240
Publikováno v:
Medical Image Analysis. 13:819-845
Vascular diseases are among the most important public health problems in developed countries. Given the size and complexity of modern angiographic acquisitions, segmentation is a key step toward the accurate visualization, diagnosis and quantificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce8659467891f8d20ed32cb3043b5ca9
https://doi.org/10.1016/j.media.2009.07.011
https://doi.org/10.1016/j.media.2009.07.011
Autor:
Fred J. Clubb, Chi-Yin Lee, Stuart B. Mitchell, John W. Eaton, K. Michael Sekins, Romain Moreau-Gobard, Stephen J. Hsu, Matthew W. Miller, Lawrence A. Crum, Stephen R. Barnes, Xiaozheng Jenny Zeng, Keith Wong, Barbrina Dunmire, Scott Keneman, Gareth Funka-Lea, Alexis Ahiekpor-Dravi, John Kucewicz, Jerry D. Hopple, John Kook, Liexiang Fan, Caroline Maleke
Publikováno v:
Journal of Therapeutic Ultrasound
Background Deep Bleeder Acoustic Coagulation (DBAC) is an ultrasound image-guided high-intensity focused ultrasound (HIFU) method proposed to automatically detect and localize (D&L) and treat deep, bleeding, combat wounds in the limbs of soldiers. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95d7e6e5578c3cc320bb5ee99951353b
https://doi.org/10.1186/s40349-015-0038-3
https://doi.org/10.1186/s40349-015-0038-3