E-LIB Suche - Ergebnisse für: Chourak, H.

1

PO-1675 Evaluation of synthetic CTs by 3D Cycle-GAN from pr..:

COLLOT, E. ; Lekieffre, P. ; Texier, B....
Radiotherapy and Oncology. 182 (2023) - p. S1380 , 2023

Link: https://doi.org/10.1016/..

2

OC-0446 Evaluation of prostate synthetic CTs from MRI using..:

Texier, B. ; Hémon, C. ; Collot, E....
Radiotherapy and Oncology. 182 (2023) - p. S348-S349 , 2023

Link: https://doi.org/10.1016/..

3

PO-1671 3D patch cycle-GAN-based MR-to-CT synthesis from mo..:

Lekieffre, P. ; Collot, E. ; Texier, B....
Radiotherapy and Oncology. 182 (2023) - p. S1374-S1375 , 2023

Link: https://doi.org/10.1016/..

4

PO-1615 Evaluation of prostate synthetic CTs from 0.35T MR ..:

Nunes, J. ; Macque, L. ; Tahri, S....
Radiotherapy and Oncology. 170 (2022) - p. S1402-S1403 , 2022

Link: https://doi.org/10.1016/..

5

A high-performance method of deep learning for prostate MR-..:

Tahri, S. ; Barateau, A. ; Cadin, C....
Physica Medica. 103 (2022) - p. 108-118 , 2022

Link: https://doi.org/10.1016/..

6

PO-1611 Evaluation of synthetic-CT generated from prostate ..:

Nunes, J. ; Fettem, S. ; Tahri, S....
Radiotherapy and Oncology. 170 (2022) - p. S1398-S1399 , 2022

Link: https://doi.org/10.1016/..

7

Calcul de dose à partir d'IRM en radiothérapie de la prosta..:

Tahri, S. ; Cadin, C. ; Chourak, H....
Cancer/Radiothérapie. 25 (2021) 6-7 - p. 736-737 , 2021

Link: https://doi.org/10.1016/..

8

PO-1677 cGAN-based pseudo-CT generation for prostate MRI-on..:

Tahri, S. ; Cadin, C. ; Chourak, H....
Radiotherapy and Oncology. 161 (2021) - p. S1401-S1402 , 2021

Link: https://doi.org/10.1016/..

9

PO-1683 Spatial Characterization of errors in pseudo-CT gen..:

Chourak, H. ; Barateau, A. ; Cadin, C....
Radiotherapy and Oncology. 161 (2021) - p. S1408-S1410 , 2021

Link: https://doi.org/10.1016/..

10

Deep learning methods to generate synthetic CT from MRI in ..:

Boulanger, M. ; Nunes, Jean-Claude ; Chourak, H....
Physica Medica. 89 (2021) - p. 265-281 , 2021

Link: https://doi.org/10.1016/..

11

Deep learning methods to generate synthetic CT from MRI in ..:

Boulanger, M ; Nunes, Jean-Claude ; Chourak, H...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ejmp.2021.07.027. , 2021

Link: https://hal.science/hal-..

12

Deep learning methods to generate synthetic CT from MRI in ..:

Boulanger, M ; Nunes, Jean-Claude ; Chourak, H...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ejmp.2021.07.027. , 2021

Link: https://hal.science/hal-..

13

Deep learning methods to generate synthetic CT from MRI in ..:

Boulanger, M ; Nunes, Jean-Claude ; Chourak, H...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ejmp.2021.07.027. , 2021

Link: https://hal.archives-ouv..

14

Two-dimensional flooding model using IBER software case Stu..:

Adil, Jouamaa ; Chourak, Mimoun ; Farid, Boushaba...
E3S Web of Conferences. 502 (2024) - p. 03011 , 2024

Link: https://doi.org/10.1051/..

15

Evolution of shoreline dynamics in Betoya Bay, home of the ..:

El Hadri, Lamiae ; Boushaba, Farid ; Chourak, Mimoun...
E3S Web of Conferences. 502 (2024) - p. 02005 , 2024

Link: https://doi.org/10.1051/..