Pierre Decazes
Pierre Decazes
Affiliation inconnue
Adresse e-mail validée de
Citée par
Citée par
Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images
V Andrearczyk, V Oreiller, S Boughdad, CCL Rest, H Elhalawani, ...
3D head and neck tumor segmentation in PET/CT challenge, 1-37, 2021
Radiomics: A primer for the radiation oncologist
JE Bibault, L Xing, P Giraud, R El Ayachy, N Giraud, P Decazes, A Burgun
Cancer/Radiothérapie 24 (5), 403-410, 2020
Deep neural network for automatic volumetric segmentation of whole-body CT images for body composition assessment
YS Lee, N Hong, JN Witanto, YR Choi, J Park, P Decazes, F Eude, ...
Clinical Nutrition 40 (8), 5038-5046, 2021
Targeted genotyping of circulating tumor DNA for classical Hodgkin lymphoma monitoring: a prospective study
V Camus, M Viennot, J Lequesne, PJ Viailly, E Bohers, L Bessi, B Marcq, ...
Haematologica 106 (1), 154, 2021
Immunotherapy by immune checkpoint inhibitors and nuclear medicine imaging: current and future applications
P Decazes, P Bohn
Cancers 12 (2), 371, 2020
Sub-cutaneous Fat Mass measured on multislice computed tomography of pretreatment PET/CT is a prognostic factor of stage IV non-small cell lung cancer treated by nivolumab
G Popinat, S Cousse, L Goldfarb, S Becker, I Gardin, M Salaün, ...
Oncoimmunology 8 (5), e1580128, 2019
Trimodality PET/CT/MRI and radiotherapy: a mini-review
P Decazes, P Hinault, O Veresezan, S Thureau, P Gouel, P Vera
Frontiers in oncology 10, 614008, 2021
3-d rpet-net: development of a 3-d pet imaging convolutional neural network for radiomics analysis and outcome prediction
A Amyar, S Ruan, I Gardin, C Chatelain, P Decazes, R Modzelewski
IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 225-231, 2019
Radiotherapy boost in patients with hypoxic lesions identified by 18F-FMISO PET/CT in non-small-cell lung carcinoma: can we expect a better survival outcome …
P Vera, SD Mihailescu, J Lequesne, R Modzelewski, P Bohn, S Hapdey, ...
European Journal of Nuclear Medicine and Molecular Imaging 46, 1448-1456, 2019
The phenotypical core of Alzheimer's disease-related and nonrelated variants of the corticobasal syndrome: a systematic clinical, neuropsychological, imaging, and biomarker study
F Di Stefano, A Kas, MO Habert, P Decazes, F Lamari, S Lista, H Hampel, ...
Alzheimer's & Dementia 12 (7), 786-795, 2016
Semi-automatic lymphoma detection and segmentation using fully conditional random fields
Y Yu, P Decazes, J Lapuyade-Lahorgue, I Gardin, P Vera, S Ruan
Computerized Medical Imaging and Graphics 70, 1-7, 2018
AI-based detection, classification and prediction/prognosis in medical imaging: towards radiophenomics
F Yousefirizi, P Decazes, A Amyar, S Ruan, B Saboury, A Rahmim
PET clinics 17 (1), 183-212, 2022
Evaluation of an automatic classification algorithm using convolutional neural networks in oncological positron emission tomography
P Pinochet, F Eude, S Becker, V Shah, L Sibille, MN Toledano, ...
Frontiers in Medicine 8, 628179, 2021
Outcomes after first-line immunochemotherapy for primary mediastinal B-cell lymphoma: a LYSA study
V Camus, C Rossi, P Sesques, J Lequesne, D Tonnelet, C Haioun, ...
Blood advances 5 (19), 3862-3872, 2021
Lymphoma segmentation from 3D PET-CT images using a deep evidential network
L Huang, S Ruan, P Decazes, T Denœux
International Journal of Approximate Reasoning 149, 39-60, 2022
Tumor fragmentation estimated by volume surface ratio of tumors measured on 18F-FDG PET/CT is an independent prognostic factor of diffuse large B-cell lymphoma
P Decazes, S Becker, MN Toledano, P Vera, P Desbordes, F Jardin, ...
European journal of nuclear medicine and molecular imaging 45, 1672-1679, 2018
Prognostic value of sarcopenia in patients treated by Radiochemotherapy for locally advanced oesophageal cancer
R Mallet, R Modzelewski, J Lequesne, S Mihailescu, P Decazes, ...
Radiation Oncology 15, 1-9, 2020
Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy
H Hu, P Decazes, P Vera, H Li, S Ruan
International journal of computer assisted radiology and surgery 14, 1715-1724, 2019
Anthropometer3D: automatic multi-slice segmentation software for the measurement of anthropometric parameters from CT of PET/CT
P Decazes, D Tonnelet, P Vera, I Gardin
Journal of digital imaging 32 (2), 241-250, 2019
Radiomics-net: Convolutional neural networks on FDG PET images for predicting cancer treatment response
A Amyar, S Ruan, I Gardin, R Herault, C Clement, P Decazes, ...
Journal of Nuclear Medicine 59 (supplement 1), 324-324, 2018
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20