Badic B - Search Results

1

Radiomics in PET/CT: Current Status and Future AI-Based Evolutions.

Hatt M, Cheze Le Rest C, Antonorsi N, Tixier F, Tankyevych O, Jaouen V, Lucia F, Bourbonne V, Schick U, Badic B, Visvikis D. Hatt M, et al. Among authors: badic b. Semin Nucl Med. 2021 Mar;51(2):126-133. doi: 10.1053/j.semnuclmed.2020.09.002. Epub 2020 Nov 1. Semin Nucl Med. 2021. PMID: 33509369 Review.

2

Mismatch repair-deficient colorectal cancer: a model of immunogenic and immune cell-rich tumor despite nonsignificant programmed cell death ligand-1 expression in tumor cells.

Le Flahec G, Badic B, Guibourg B, Doucet L, Bail JP, Marcorelles P, Schick U, Uguen A. Le Flahec G, et al. Among authors: badic b. Hum Pathol. 2018 Feb;72:135-143. doi: 10.1016/j.humpath.2017.09.019. Epub 2017 Dec 5. Hum Pathol. 2018. PMID: 29208565

3

Potential Complementary Value of Noncontrast and Contrast Enhanced CT Radiomics in Colorectal Cancers.

Badic B, Desseroit MC, Hatt M, Visvikis D. Badic B, et al. Acad Radiol. 2019 Apr;26(4):469-479. doi: 10.1016/j.acra.2018.06.004. Epub 2018 Jul 31. Acad Radiol. 2019. PMID: 30072293

4

Radiogenomics-based cancer prognosis in colorectal cancer.

Badic B, Hatt M, Durand S, Jossic-Corcos CL, Simon B, Visvikis D, Corcos L. Badic B, et al. Sci Rep. 2019 Jul 5;9(1):9743. doi: 10.1038/s41598-019-46286-6. Sci Rep. 2019. PMID: 31278324 Free PMC article.

5

Radiomics: Data Are Also Images.

Hatt M, Le Rest CC, Tixier F, Badic B, Schick U, Visvikis D. Hatt M, et al. Among authors: badic b. J Nucl Med. 2019 Sep;60(Suppl 2):38S-44S. doi: 10.2967/jnumed.118.220582. J Nucl Med. 2019. PMID: 31481588 Free article. Review.

6

MRI-derived radiomics: methodology and clinical applications in the field of pelvic oncology.

Schick U, Lucia F, Dissaux G, Visvikis D, Badic B, Masson I, Pradier O, Bourbonne V, Hatt M. Schick U, et al. Among authors: badic b. Br J Radiol. 2019 Dec;92(1104):20190105. doi: 10.1259/bjr.20190105. Epub 2019 Oct 10. Br J Radiol. 2019. PMID: 31538516 Free PMC article. Review.

7

Revisiting the identification of tumor sub-volumes predictive of residual uptake after (chemo)radiotherapy: influence of segmentation methods on ¹⁸F-FDG PET/CT images.

Hatt M, Tixier F, Desseroit MC, Badic B, Laurent B, Visvikis D, Rest CCL. Hatt M, et al. Among authors: badic b. Sci Rep. 2019 Oct 17;9(1):14925. doi: 10.1038/s41598-019-51096-x. Sci Rep. 2019. PMID: 31624321 Free PMC article.

8

Radiogenomics in Colorectal Cancer.

Badic B, Tixier F, Cheze Le Rest C, Hatt M, Visvikis D. Badic B, et al. Cancers (Basel). 2021 Feb 26;13(5):973. doi: 10.3390/cancers13050973. Cancers (Basel). 2021. PMID: 33652647 Free PMC article. Review.

9

Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study.

Badic B, Da-Ano R, Poirot K, Jaouen V, Magnin B, Gagnière J, Pezet D, Hatt M, Visvikis D. Badic B, et al. Eur Radiol. 2022 Jan;32(1):405-414. doi: 10.1007/s00330-021-08104-4. Epub 2021 Jun 25. Eur Radiol. 2022. PMID: 34170367

10

External Validation of a Radiomics Model for the Prediction of Complete Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer.

Bordron A, Rio E, Badic B, Miranda O, Pradier O, Hatt M, Visvikis D, Lucia F, Schick U, Bourbonne V. Bordron A, et al. Among authors: badic b. Cancers (Basel). 2022 Feb 21;14(4):1079. doi: 10.3390/cancers14041079. Cancers (Basel). 2022. PMID: 35205826 Free PMC article.

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