Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Cattin PC"'
Autor:
Maloca, PM, de Carvalho, JER, Heeren, T, Hasler, PW, Mushtaq, F, Mon-Williams, M, Scholl, HPN, Balaskas, K, Egan, C, Tufail, A, Witthauer, L, Cattin, PC
Publikováno v:
Translational Vision Science & Technology
Purpose: Feasibility testing of a novel volume renders technology to display optical coherence tomography data (OCT) in a virtual reality (VR) environment.\ud \ud \ud \ud Methods: A VR program was written in C++/OpenGL to import and display volumetri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::cf38fab311e7ea0da55637f4e140f28c
https://eprints.whiterose.ac.uk/133207/1/i1552-5783-7-4-2.pdf
https://eprints.whiterose.ac.uk/133207/1/i1552-5783-7-4-2.pdf
Autor:
Saur SC, Alkadhi H, Stolzmann P, Baumüller S, Leschka S, Scheffel H, Desbiolles L, Fuchs TJ, Székely G, Cattin PC, Saur, Stefan C, Alkadhi, Hatem, Stolzmann, Paul, Baumüller, Stephan, Leschka, Sebastian, Scheffel, Hans, Desbiolles, Lotus, Fuchs, Thomas J, Székely, Gábor, Cattin, Philippe C
Publikováno v:
European Radiology; Jul2010, Vol. 20 Issue 7, p1599-1606, 8p
Autor:
Saur SC, Alkadhi H, Desbiolles L, Székely G, Cattin PC, Saur, Stefan C, Alkadhi, Hatem, Desbiolles, Lotus, Székely, Gábor, Cattin, Philippe C
Publikováno v:
European Radiology; Mar2009, Vol. 19 Issue 3, p591-598, 8p
Autor:
David S. Tuch, Baoru Huang, Jian-Qing Zheng, Daniel S. Elson, Anh Nguyen, Stamatia Giannarou, Kunal Vyas
Publikováno v:
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
Dense depth estimation and 3D reconstruction of a surgical scene are crucial steps in computer assisted surgery. Recent work has shown that depth estimation from a stereo image pair could be solved with convolutional neural networks. However, most re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49d1afd3692a1d99495fdcfd7459f0d3
http://hdl.handle.net/10044/1/94151
http://hdl.handle.net/10044/1/94151
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871956
MICCAI (2)
MICCAI (2)
This paper explores the use of self-supervised deep learning in medical imaging in cases where two scan modalities are available for the same subject. Specifically, we use a large publicly-available dataset of over 20,000 subjects from the UK Biobank
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4317cf0d636648fa7e8b6a5cbaa57b9
http://arxiv.org/abs/2107.06652
http://arxiv.org/abs/2107.06652
Autor:
Ben Glocker, Jacqueline Matthew, Samuel Budd, Daniel Rueckert, Emily Skelton, Thomas Day, Matthew Sinclair, Emma C. Robinson, Athanasios Vlontzos, Reza Razavi, Tianrui Liu, John M. Simpson, Bernhard Kainz, Jeremy Tan
Publikováno v:
24th International Conference on Medical Image Computing and Computer Assisted Intervention
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872335
MICCAI (7)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872335
MICCAI (7)
Fetal ultrasound screening during pregnancy plays a vital role in the early detection of fetal malformations which have potential long-term health impacts. The level of skill required to diagnose such malformations from live ultrasound during examina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ad3c8194aad922f47ab4c223025b171
http://hdl.handle.net/10044/1/96326
http://hdl.handle.net/10044/1/96326
Publikováno v:
24th International Conference on Medical Image Computing and Computer Assisted Intervention
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872397
MICCAI (5)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872397
MICCAI (5)
Supervised learning of every possible pathology is unrealistic for many primary care applications like health screening. Image anomaly detection methods that learn normal appearance from only healthy data have shown promising results recently. We pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f7a43a1557912a84f7d09bcf81dd21f
http://hdl.handle.net/10044/1/96832
http://hdl.handle.net/10044/1/96832
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871925
MICCAI (1)
MICCAI (1)
Machine learning driven medical image segmentation has become standard in medical image analysis. However, deep learning models are prone to overconfident predictions. This has led to a renewed focus on calibrated predictions in the medical imaging a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4df318c3208b0b2d059bae3a593bc142
Autor:
Georgios V. Gkoutos, Declan P. O'Regan, Karina V Bunting, Dipak Kotecha, Xi Jia, Antonio de Marvao, Hyung Jin Chang, Alexander Thorley, Victoria Stoll, Jinming Duan, Boyang Liu
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
MICCAI (4)
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
Deterministic approaches using iterative optimisation have been historically successful in diffeomorphic image registration (DiffIR). Although these approaches are highly accurate, they typically carry a significant computational burden. Recent devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f4ebc4dfac9bdf9d9defbf7ff60dc15
https://doi.org/10.1007/978-3-030-87202-1_15
https://doi.org/10.1007/978-3-030-87202-1_15
Autor:
Seth M. Weinberg, Balder Croquet, Daan Christiaens, Michael M. Bronstein, Dirk Vandermeulen, Peter Claes
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
MICCAI (4)
Registration is an essential tool in image analysis. Deep learning based alternatives have recently become popular, achieving competitive performance at a faster speed. However, many contemporary techniques are limited to volumetric representations,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f3d5e6a16faf8992b615adeecad9441