Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Javier, Pérez de Frutos"'
Autor:
Javier Pérez de Frutos, Ragnhild Holden Helland, Shreya Desai, Line Cathrine Nymoen, Thomas Langø, Theodor Remman, Abhijit Sen
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Dental caries diagnosis requires the manual inspection of diagnostic bitewing images of the patient, followed by a visual inspection and probing of the identified dental pieces with potential lesions. Yet the use of artificial int
Externí odkaz:
https://doaj.org/article/095a72cdf2054bb29c9d12aaadda2ea6
Autor:
Javier Pérez de Frutos, André Pedersen, Egidijus Pelanis, David Bouget, Shanmugapriya Survarachakan, Thomas Langø, Ole-Jakob Elle, Frank Lindseth
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0282110 (2023)
PurposeThis study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging.MethodsDifferent training strategies, loss functions, and transfer learning schemes were
Externí odkaz:
https://doaj.org/article/e093d0fa90d04d9ea70b5afaa58f13af
Autor:
Javier Pérez de Frutos, André Pedersen, Egidijus Pelanis, David Bouget, Shanmugapriya Survarachakan, Thomas Langø, Ole-Jakob Elle, Frank Lindseth
Purpose: This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods: Different training strategies, loss functions, and transfer learning schemes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a212b32d17c2f1492139ee1fcf99416
http://arxiv.org/abs/2211.15717
http://arxiv.org/abs/2211.15717
Autor:
Shanmugapriya, Survarachakan, Pravda Jith Ray, Prasad, Rabia, Naseem, Javier, Pérez de Frutos, Rahul Prasanna, Kumar, Thomas, Langø, Faouzi, Alaya Cheikh, Ole Jakob, Elle, Frank, Lindseth
Publikováno v:
Artificial Intelligence in Medicine
Deep learning-based methods, in particular, convolutional neural networks and fully convolutional networks are now widely used in the medical image analysis domain. The scope of this review focuses on the analysis using deep learning of focal liver l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0e5ccd4904d5175fb80d7fb2313c2d1
https://hdl.handle.net/11250/3052885
https://hdl.handle.net/11250/3052885
Autor:
Anna M. Bofin, Ingerid Reinertsen, Erik Smistad, André Pedersen, Javier Pérez de Frutos, Marit Valla
Publikováno v:
IEEE Access
IEEE Access, Vol 9, Pp 58216-58229 (2021)
58216-58229
IEEE Access, Vol 9, Pp 58216-58229 (2021)
58216-58229
Deep convolutional neural networks (CNNs) are the current state-of-the-art for digital analysis of histopathological images. The large size of whole-slide microscopy images (WSIs) requires advanced memory handling to read, display and process these i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4d3663f3b1ca2becf97e16d7c9cb003
http://arxiv.org/abs/2011.06033
http://arxiv.org/abs/2011.06033
Autor:
Geir Arne Tangen, Javier Pérez de Frutos, Erlend Fagertun Hofstad, Ole Jacob Elle, Frank Lindseth, Thomas Langø, Ronald Mårvik, Ole Vegard Solberg
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery
Purpose Test the feasibility of the novel Single Landmark image-to-patient registration method for use in the operating room for future clinical trials. The algorithm is implemented in the open-source platform CustusX, a computer-aided intervention r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02229278c3ffe61195ea9a4d238dbf65
https://doi.org/10.1007/s11548-018-1830-7
https://doi.org/10.1007/s11548-018-1830-7
Autor:
E. Gambao, Alberto Brunete, Javier Pérez de Frutos, Miguel Hernando, Sergio Segovia, Avinash Ranganath
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
International Journal of Advanced Robotic Systems, ISSN 1729-8814, 2017-05, Vol. 14, No. 3
Archivo Digital UPM
instname
International Journal of Advanced Robotic Systems, ISSN 1729-8814, 2017-05, Vol. 14, No. 3
Archivo Digital UPM
instname
This article presents a review on trends in modular reconfigurable robots, comparing the evolution of the features of the most significant robots over the years and focusing on the latest designs. These features are reconfiguration, docking, degrees
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a120cb42f390adf3eda70915003a7eb3
https://doaj.org/article/4a691d12b5d74fe09e2d35bcc38115f2
https://doaj.org/article/4a691d12b5d74fe09e2d35bcc38115f2
Autor:
Javier Pérez de Frutos, Bjørn Edwin, Davit L. Aghayan, Andrea Teatini, Benjamin Eigl, Marco Lai, Ole Jakob Elle, Egidijus Pelanis, Rafael Palomar, Rahul Prasanna Kumar
Publikováno v:
Teatini, Andrea; Pérez de Frutos, Javier; Eigl, Benjamin; Pelanis, Egidijus; Aghayan, Davit L.; Lai, Marco; Kumar, Rahul Prasanna; Palomar, Rafael; Edwin, Bjørn; Elle, Ole Jakob (2021). Influence of sampling accuracy on augmented reality for laparoscopic image-guided surgery. Minimally invasive therapy & allied technologies, 30(4), pp. 229-238. Taylor & Francis Group 10.1080/13645706.2020.1727524
Minimally Invasive Therapy & Allied Technologies
MITAT. Minimally invasive therapy & allied technologies
Minimally Invasive Therapy & Allied Technologies
MITAT. Minimally invasive therapy & allied technologies
Purpose: This study aims to evaluate the accuracy of point-based registration (PBR) when used for augmented reality (AR) in laparoscopic liver resection surgery. Material and methods: The study was conducted in three different scenarios in which the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1aa9252315539fafeaad0c6bb44ac161