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Year | Number of Results |
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2018 | 1 |
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Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization.
Phys Med. 2021 Mar;83:108-121. doi: 10.1016/j.ejmp.2021.03.009. Epub 2021 Mar 22.
Phys Med. 2021.
PMID: 33765601
Free article.
Review.
Predicting the Tumour Response to Radiation by Modelling the Five Rs of Radiotherapy Using PET Images.
Hami R, Apeke S, Redou P, Gaubert L, Dubois LJ, Lambin P, Visvikis D, Boussion N.
Hami R, et al. Among authors: gaubert l.
J Imaging. 2023 Jun 20;9(6):124. doi: 10.3390/jimaging9060124.
J Imaging. 2023.
PMID: 37367472
Free PMC article.
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Multi-Scale Modeling and Oxygen Impact on Tumor Temporal Evolution: Application on Rectal Cancer During Radiotherapy.
Apeke S, Gaubert L, Boussion N, Lambin P, Visvikis D, Rodin V, Redou P.
Apeke S, et al. Among authors: gaubert l.
IEEE Trans Med Imaging. 2018 Apr;37(4):871-880. doi: 10.1109/TMI.2017.2771379.
IEEE Trans Med Imaging. 2018.
PMID: 29610067
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Using the Unified Modelling Language (UML) to guide the systemic description of biological processes and systems.
Roux-Rouquié M, Caritey N, Gaubert L, Rosenthal-Sabroux C.
Roux-Rouquié M, et al. Among authors: gaubert l.
Biosystems. 2004 Jul;75(1-3):3-14. doi: 10.1016/j.biosystems.2004.03.009.
Biosystems. 2004.
PMID: 15245800
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