Zobrazeno 1 - 10
of 386
pro vyhledávání: '"J, Mazurier"'
Autor:
G. Janoray, E. Bruguière, J. Mazurier, P. Dudouet, J. Guillotreau, C. Tollon, P. Labarthe, P. Seguin, I. Latorzeff
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Due to the close proximity of the prostate and rectum, rectal toxicity remains a major problem in patient treated by radiotherapy for prostate adenocarcinoma. One method of increasing the distance between the prostate and the rect
Externí odkaz:
https://doaj.org/article/43b2152d08464d6b95d8ecfe7d024d51
Akademický článek
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Autor:
C. Robert, J. Mazurier, P. Meyer, Luc Simon, Vincent Grégoire, A. Munoz, G. Sidorski, Eric Deutsch, G. Beldjoudi, A. Gasnier, D. Moreau
Publikováno v:
Cancer/Radiothérapie
Cancer/Radiothérapie, 2021, 25 (6-7), ⟨10.1016/j.canrad.2021.06.023⟩
Cancer/Radiothérapie, 2021, 25 (6-7), ⟨10.1016/j.canrad.2021.06.023⟩
Deep-learning (DL)-based auto-contouring solutions have recently been proposed as a convincing alternative to decrease workload of target volumes and organs-at-risk (OAR) delineation in radiotherapy planning and improve inter-observer consistency. Ho
Autor:
C. Khamphan, J. Mazurier, P. Meyer, C. Robert, Luc Simon, V. Bodez, G. Sidorski, L. Fezzani, P.A. Rigaud, M.-C. Biston, T. Marghani
Publikováno v:
Cancer/Radiothérapie
Cancer/Radiothérapie, 2021, 25 (6), ⟨10.1016/j.canrad.2021.06.006⟩
Cancer/Radiothérapie, 2021, 25 (6), ⟨10.1016/j.canrad.2021.06.006⟩
Modern radiotherapy treatment planning is a complex and time-consuming process that requires the skills of experienced users to obtain quality plans. Since the early 2000s, the automation of this planning process has become an important research topi
Autor:
J. Mazurier, G. Sidorski, X. Franceries, I. Berry, B. Pichon, B. Pinel, I. Latorzeff, O. Gallocher, G. Jimenez, J. Camilleri, V. Connord, Y. Marty, N. Mathy, D. Zarate
Publikováno v:
Radiotherapy and Oncology. 170:S647
Autor:
I. Latorzeff, J. Mazurier, G. Sidorski, D. Marre, C. Chevelle, B. Pichon, Xavier Franceries, G. Jimenez, Isabelle Berry, B. Pinel, Y. Marty, N. Mathy, E. Villain, D. Zarate, V. Connord, O. Gallocher, J. Camilleri
Publikováno v:
Cancer/Radiothérapie. 25:735-736
Autor:
E. Caillot, D. Franck, G. Jimenez, J. Mazurier, O. Gallocher, D. Zarate, D. Angles, J. Camilleri, B. Pichon, C. Chevelle, I. Latorzeff, N. Mathy, D. Marre, B. Pinel
Publikováno v:
Physica Medica. 68:4-5
Autor:
Laure Vieillevigne, D. Lazaro, Luc Simon, A.R. Barbeiro, D. Tromson, T. Younes, J. Mazurier, L. Parent, Xavier Franceries, A.L. Cunrath, J. Leste, R. Ferrand
Publikováno v:
Physica Medica. 68:6-7
Autor:
Klaus Hempel, R. Taylor, Tianbing Chen, Alexis Divay, Tom Herrmann, Alban Zaka, Patrick James Artz, Yogadissen Andee, Steffen Lehmann, L. Pirro, Zhixing Zhao, Carsten Grass, Jan Hoentschel, Ricardo Sousa, Juergen Faul, David Harame, J. Mazurier, Luca Lucci
Publikováno v:
ESSDERC
This paper proposes three methods of reducing device gate resistance and parasitic capacitance while boosting transconductance of MOSFET on 22FDX®. The f MAX can be improved by 50% and up to 75% for NFET and PFET with respect to a standard 2.0µm fi
Autor:
I. Latorzeff, J. Mazurier, G. Jimenez, Y. Marty, V. Connord, O. Gallocher, B. Pichon, N. Mathy, D. Marre, G. Sidorski, B. Pinel, D. Zarate, J. Camilleri
Publikováno v:
Cancer/Radiothérapie. 24:781
Introduction et but de l’etude Le systeme de planification des traitements (TPS) Raysearch® possede deux algorithmes bases sur l’intelligence artificielle : l’un permettant la delineation (apprentissage profond) et l’autre concernant la plan