Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Matteo Maspero"'
Autor:
Verónica Retamal, Juan San Martín, Braulio Ruíz, Richard M. Bastías, Eugenio Sanfuentes, María José Lisperguer, Tommaso De Gregorio, Matteo Maspero, Ernesto Moya-Elizondo
Publikováno v:
Plants, Vol 13, Iss 19, p 2753 (2024)
Fungal trunk disease (FTD) poses a significant threat to hazelnut (Corylus avellana L.) production worldwide. In Chile, the fungus Diplodia mutila, from the Botryosphaeriaceae family, has been frequently identified causing this disease in the Maule a
Externí odkaz:
https://doaj.org/article/d8bccbd1d1194cfabdb2c1a65c82333c
Autor:
Bianca A.W. Hoeben, Enrica Seravalli, Amber M.L. Wood, Mirjam Bosman, Witold P. Matysiak, John H. Maduro, Astrid L.H.M.W. van Lier, Matteo Maspero, Gijsbert H. Bol, Geert O. Janssens
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 31, Iss , Pp 28-33 (2021)
Purpose: Optic nerves are part of the craniospinal irradiation (CSI) target volume. Modern radiotherapy techniques achieve highly conformal target doses while avoiding organs-at-risk such as the lens. The magnitude of eye movement and its influence o
Externí odkaz:
https://doaj.org/article/2696461a592d45c2ba5d74a585e9410f
Autor:
Mark H. F. Savenije, Matteo Maspero, Gonda G. Sikkes, Jochem R. N. van der Voort van Zyp, Alexis N. T. J. Kotte, Gijsbert H. Bol, Cornelis A. T. van den Berg
Publikováno v:
Radiation Oncology, Vol 15, Iss 1, Pp 1-12 (2020)
Abstract Background Structure delineation is a necessary, yet time-consuming manual procedure in radiotherapy. Recently, convolutional neural networks have been proposed to speed-up and automatise this procedure, obtaining promising results. With the
Externí odkaz:
https://doaj.org/article/e3896fa8ea014b2291755c103f962308
Autor:
Matteo Maspero, Antonetta C. Houweling, Mark H.F. Savenije, Tristan C.F. van Heijst, Joost J.C. Verhoeff, Alexis N.T.J. Kotte, Cornelis A.T. van den Berg
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 14, Iss , Pp 24-31 (2020)
Background and purpose Adaptive radiotherapy based on cone-beam computed tomography (CBCT) requires high CT number accuracy to ensure accurate dose calculations. Recently, deep learning has been proposed for fast CBCT artefact corrections on single a
Externí odkaz:
https://doaj.org/article/651e18e992db4d408141df8dfb5be162
Autor:
Matteo Maspero, Marcus D. Tyyger, Rob H.N. Tijssen, Peter R. Seevinck, Martijn P.W. Intven, Cornelis A.T. van den Berg
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 7, Iss , Pp 58-64 (2018)
Background and purpose: Synthetic computed tomography (sCT) images enable magnetic resonance (MR)-based dose calculations. This work investigated whether a commercially available sCT generation solution was suitable for accurate dose calculations and
Externí odkaz:
https://doaj.org/article/b96f586418414fa5ac809d6364a1c071
Autor:
Matteo Maspero, Peter R. Seevinck, Nicole J. W. Willems, Gonda G. Sikkes, Geja J. de Kogel, Hans C. J. de Boer, Jochem R. N. van der Voort van Zyp, Cornelis A. T. van den Berg
Publikováno v:
Radiation Oncology, Vol 13, Iss 1, Pp 1-12 (2018)
Abstract Background The use of intraprostatic gold fiducial markers (FMs) ensures highly accurate and precise image-guided radiation therapy for patients diagnosed with prostate cancer thanks to the ease of localising FMs on photon-based imaging, lik
Externí odkaz:
https://doaj.org/article/3fb28075c4794c58b50ec0a295617a6e
Autor:
Xingeng Wang, Nathalie Ramualde, Ellen M. Aparicio, Matteo Maspero, Jian J. Duan, Lincoln Smith
Publikováno v:
Insects, Vol 12, Iss 6, p 535 (2021)
Aprostocetus fukutai is a specialist egg parasitoid of the citrus longhorned beetle Anoplophora chinensis, a high-risk invasive pest of hardwood trees. The parasitoid overwinters as diapausing mature larvae within the host egg and emerges in early su
Externí odkaz:
https://doaj.org/article/f890e73c394f41e6bafd6eb022c0e1e3
Autor:
Adrian Thummerer, Evi Huijben, Maarten Terpstra, Oliver Gurney-Champion, Manya Afonso, Suraj Pai, Peter Koopmans, Maureen van Eijnatten, Zoltan Perko, Matteo Maspero
Design of the SynthRAD2023 Grand Challengehttps://synthrad2023.grand-challenge.org/ following the structured challenge submission provided at https://www.biomedical-challenges.org/. The challenge will be part of MICCAI 2023. Versions v0.1design submi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd97ce7e8739a90976ec5b35e67bb4b6
Autor:
Adrian Thummerer, Evi Huijben, Maarten Terpstra, Oliver Gurney-Champion, Manya Afonso, Suraj Pai, Peter Koopmans, Maureen van Eijnatten, Zoltan Perko, Matteo Maspero
Design of the SynthRAD2023 Grand Challengehttps://synthrad2023.grand-challenge.org/ following the structured challenge submission provided at https://www.biomedical-challenges.org/. The challenge will be part of MICCAI 2023. This design has been firs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8debe03f6a3d080f6a0b0bb75badd9d
Publikováno v:
Medical Physics. 48:6537-6566
Recently, deep learning (DL)-based methods for the generation of synthetic computed tomography (sCT) have received significant research attention as an alternative to classical ones. We present here a systematic review of these methods by grouping th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04c110062269144f8e9076ea48b31d32
https://doi.org/10.1002/mp.15150
https://doi.org/10.1002/mp.15150