Zobrazeno 1 - 10
of 68
pro vyhledávání: '"J. Sillanpaa"'
Publikováno v:
IEEE Access, Vol 12, Pp 51665-51675 (2024)
Multi-task learning (MTL) is a learning paradigm whose aim is to leverage information shared across related tasks to improve the generalization of models. Motivated by the success of proximal optimization algorithms and single-task learning regressio
Externí odkaz:
https://doaj.org/article/c7eb181395414d3a96f23bd80e06465a
Publikováno v:
Med Dosim
Metallic objects, such as dental fillings, cause artifacts in computed tomography (CT) scans. We quantify the contouring and dosimetric effects of Orthopedic Metal Artifact Reduction (O-MAR), in head and neck radiotherapy. The ease of organ contourin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::131371c5c1a4cd0406bab5cc1e585ae4
https://doi.org/10.1016/j.meddos.2019.07.003
https://doi.org/10.1016/j.meddos.2019.07.003
Autor:
Arttu Arjas, Erwin J. Alles, Efthymios Maneas, Simon Arridge, Adrien Desjardins, Mikko J. Sillanpaa, Andreas Hauptmann
Many interventional surgical procedures rely on medical imaging to visualise and track instruments. Such imaging methods not only need to be real-time capable, but also provide accurate and robust positional information. In ultrasound applications, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c628fd02caa6d46326810066f8be4368
http://arxiv.org/abs/2111.09631
http://arxiv.org/abs/2111.09631
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Ellen Yorke, Howard Amols, Jenghwa Chang, J. Sillanpaa, Fernando F. de Arruda, Alex Pevsner, Edward J. Seppi, C. Clifton Ling, Gig S. Mageras, H Pham, Kenneth E. Rosenzweig, Agung Hertanto
Publikováno v:
International Journal of Radiation Oncology*Biology*Physics. 67:1548-1558
Purpose: To evaluate the use of megavoltage cone-beam computed tomography (MV CBCT) to measure interfractional variation in lung tumor position. Methods and Materials: Eight non–small-cell lung cancer patients participated in the study, 4 with resp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdf86aa761e697382fc84b24f86fa262
https://doi.org/10.1016/j.ijrobp.2006.11.055
https://doi.org/10.1016/j.ijrobp.2006.11.055
Autor:
C. Clifton Ling, Edward J. Seppi, Jenghwa Chang, J. Sillanpaa, Gikas S. Mageras, Ellen Yorke, Howard Amols
Publikováno v:
Medical Physics. 33:2354-2361
We have previously described a low-dose megavoltage cone beam computed tomography (MV CBCT) system capable of producing projection image using one beam pulse. In this study, we report on its integration with respiratory gating for gated radiotherapy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a80903c6e758df913a217de6bc95919
https://doi.org/10.1118/1.2207136
https://doi.org/10.1118/1.2207136
Publikováno v:
Physics in Medicine and Biology. 50:N299-N307
We propose and investigate weighted expectation maximization (EM) algorithms for image reconstruction in x-ray tomography. The development of the algorithms is motivated by the respiratory-gated megavoltage tomography problem, in which the acquired a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6df5d6ed64d0919db447bf9a4aaba827
https://doi.org/10.1088/0031-9155/50/21/n02
https://doi.org/10.1088/0031-9155/50/21/n02
Autor:
Gig S. Mageras, H. Riem, Jenghwa Chang, J. Sillanpaa, C. Clifton Ling, Howard Amols, Eric C. Ford, Dorin A. Todor
Publikováno v:
Medical Physics. 32:819-829
We have studied the feasibility of a low-dose megavoltage cone beam computed tomography (MV CBCT) system for visualizing the gross tumor volume in respiratory gated radiation treatments of nonsmall-cell lung cancer. The system consists of a commercia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7d2af424380541e2be7fdd485a952d5
https://doi.org/10.1118/1.1861522
https://doi.org/10.1118/1.1861522
Publikováno v:
Medical Physics. 32:566-569
Accurate knowledge of gantry angle is essential in megavoltage cone beam imaging (MVCBI) with an electronic portal imager. We present a method for determining the gantry angle by detectingmultileaf collimator(MLC) leaf positions in projection images.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eed3debc1dd11f8e4f333eb69004ca1c
https://doi.org/10.1118/1.1854776
https://doi.org/10.1118/1.1854776