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Year | Number of Results |
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2020 | 3 |
2021 | 1 |
2022 | 2 |
2023 | 1 |
2024 | 0 |
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Page 1
Influence of inputs for bone lesion segmentation in longitudinal 18F-FDG PET/CT imaging studies.
Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:4736-4739. doi: 10.1109/EMBC48229.2022.9871081.
Annu Int Conf IEEE Eng Med Biol Soc. 2022.
PMID: 36086627
Prognostic Impact of Pretherapeutic FDG-PET in Localized Anal Cancer.
Le Thiec M, Testard A, Ferrer L, Guillerminet C, Morel O, Maucherat B, Rusu D, Girault S, Lacombe M, Hamidou H, Meyer VG, Rio E, Hiret S, Kraeber-Bodéré F, Campion L, Rousseau C.
Le Thiec M, et al. Among authors: guillerminet c.
Cancers (Basel). 2020 Jun 9;12(6):1512. doi: 10.3390/cancers12061512.
Cancers (Basel). 2020.
PMID: 32527039
Free PMC article.
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Comparison of four synthetic CT generators for brain and prostate MR-only workflow in radiotherapy.
Autret D, Guillerminet C, Roussel A, Cossec-Kerloc'h E, Dufreneix S.
Autret D, et al. Among authors: guillerminet c.
Radiat Oncol. 2023 Sep 5;18(1):146. doi: 10.1186/s13014-023-02336-y.
Radiat Oncol. 2023.
PMID: 37670397
Free PMC article.
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Prognostic Value of Metabolic, Volumetric and Textural Parameters of Baseline [18F]FDG PET/CT in Early Triple-Negative Breast Cancer.
Bouron C, Mathie C, Seegers V, Morel O, Jézéquel P, Lasla H, Guillerminet C, Girault S, Lacombe M, Sher A, Lacoeuille F, Patsouris A, Testard A.
Bouron C, et al. Among authors: guillerminet c.
Cancers (Basel). 2022 Jan 27;14(3):637. doi: 10.3390/cancers14030637.
Cancers (Basel). 2022.
PMID: 35158904
Free PMC article.
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Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment.
Moreau N, Rousseau C, Fourcade C, Santini G, Brennan A, Ferrer L, Lacombe M, Guillerminet C, Colombié M, Jézéquel P, Campone M, Normand N, Rubeaux M.
Moreau N, et al. Among authors: guillerminet c.
Cancers (Basel). 2021 Dec 26;14(1):101. doi: 10.3390/cancers14010101.
Cancers (Basel). 2021.
PMID: 35008265
Free PMC article.
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Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images.
Fourcade C, Ferrer L, Santini G, Moreau N, Rousseau C, Lacombe M, Guillerminet C, Colombie M, Campone M, Mateus D, Rubeaux M.
Fourcade C, et al. Among authors: guillerminet c.
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:1536-1539. doi: 10.1109/EMBC44109.2020.9175683.
Annu Int Conf IEEE Eng Med Biol Soc. 2020.
PMID: 33018284
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Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer.
Moreau N, Rousseau C, Fourcade C, Santini G, Ferrer L, Lacombe M, Guillerminet C, Campone M, Colombie M, Rubeaux M, Normand AN.
Moreau N, et al. Among authors: guillerminet c.
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:1532-1535. doi: 10.1109/EMBC44109.2020.9175904.
Annu Int Conf IEEE Eng Med Biol Soc. 2020.
PMID: 33018283
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