E-LIB Suche - Ergebnisse für: Depeursinge, A.

1

Why is the Winner the Best?:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Eisenmann, M. ; Reinke, A. ; Weru, V.... - p. 19955-19966 , 2023

Link: https://doi.org/10.1109/..

2

PO-1766 Deep learning classifier for MGMT promoter methylat..:

Barranco Garcia, J. ; Abler, D. ; Reyes, M....
Radiotherapy and Oncology. 170 (2022) - p. S1570-S1571 , 2022

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

3

PO-1787 Impact of deep learning segmentation methods on the..:

Vuong, D. ; Daetwyler, K. ; Bogowicz, M....
Radiotherapy and Oncology. 170 (2022) - p. S1594-S1595 , 2022

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

4

PO-0965 How to find the best radiomics features for predict..:

Fontaine, P. ; Acosta, O. ; Riet, F....
Radiotherapy and Oncology. 133 (2019) - p. S525 , 2019

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

5

( 18 F)-FDG PET/CT parameters to predict survival and recur..:

Scher, N. ; Castelli, J. ; Depeursinge, A....
Cancer/Radiothérapie. 22 (2018) 3 - p. 229-235 , 2018

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

6

PET-based prognostic survival model after radiotherapy for ..:

Castelli, Joël ; Depeursinge, A. ; Devillers, A....
European Journal of Nuclear Medicine and Molecular Imaging. 46 (2018) 3 - p. 638-649 , 2018

Link: https://doi.org/10.1007/..

7

PO-0718: 18-FDG PET/CT parameters to predict survival and r..:

Scher, N. ; Herrera, F. ; Depeursinge, A....
Radiotherapy and Oncology. 123 (2017) - p. S376-S377 , 2017

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

8

Valeur de la tomographie par émission de positons au ( 18 F..:

Castelli, J. ; Depeursinge, A. ; Nditifei-Ndoh, V....
Cancer/Radiothérapie. 21 (2017) 6-7 - p. 683 , 2017

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

9

PO-0604: A PET-based nomogram to predict survival in oropha..:

Castelli, J. ; Depeursinge, A. ; Ndoh, V....
Radiotherapy and Oncology. 123 (2017) - p. S315 , 2017

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

10

Nouveaux paramètres métaboliques de la tomographie par émis..:

Scher, N. ; Herrera, F. ; Ozsahin, M....
Cancer/Radiothérapie. 21 (2017) 6-7 - p. 679 , 2017

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

11

A PET-based nomogram for oropharyngeal cancers:

Castelli, J. ; Depeursinge, A. ; Ndoh, V....
European Journal of Cancer. 75 (2017) - p. 222-230 , 2017

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

12

Overview of the predictive value of quantitative 18 FDG PET..:

Castelli, J. ; De Bari, B. ; Depeursinge, A....
Critical Reviews in Oncology/Hematology. 108 (2016) - p. 40-51 , 2016

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

13

Making sense of radiomics: insights on human–AI collaborati..:

Mlynář, Jakub ; Depeursinge, Adrien ; Prior, John O....
Frontiers in Communication. 8 (2024) - p. , 2024

Link: https://doi.org/10.3389/..

14

Comparing various AI approaches to traditional quantitative..:

Bors, Sacha ; Abler, Daniel ; Dietz, Matthieu...
Scientific Reports. 14 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

15

Head and Neck Tumor Segmentation and Outcome Prediction: Th..

Lecture Notes in Computer Science, 13626

Andrearczyk, Vincent ; Oreiller, Valentin ; Hatt, Mathieu. - 1st ed. 2023 . , 2023

Link: https://doi.org/10.1007/..