268 results on '"Jézéquel, Pascal"'
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2. Deformable image registration with deep network priors: a study on longitudinal PET images
3. A Bayesian approach for partial Gaussian graphical models with sparsity
4. A partial graphical model with a structural prior on the direct links between predictors and responses
5. Prediction of pathological response to neo-adjuvant chemotherapy using texture parameters of initial 18-FDG PET/CT in estrogen receptor positive/Her2 negative (ER+/HER2-) early breast cancer (eBC).
6. Proteomics of tumor and serum samples from isocitrate dehydrogenase‐wildtype glioblastoma patients: is the detoxification of reactive oxygen species associated with shorter survival?
7. Intérêt de l’outil web bc-GenExMiner en oncologie
8. Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches
9. The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients
10. A Bayesian Approach for Partial Gaussian Graphical Models With Sparsity
11. Supplementary Data from Brain Neural Progenitors are New Predictive Biomarkers for Breast Cancer Hormonotherapy
12. Data from Brain Neural Progenitors are New Predictive Biomarkers for Breast Cancer Hormonotherapy
13. STING-dependent paracriny shapes apoptotic priming of breast tumors in response to anti-mitotic treatment
14. Data from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
15. Data from CD95L Cell Surface Cleavage Triggers a Prometastatic Signaling Pathway in Triple-Negative Breast Cancer
16. Supplementary Figure 3 from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
17. Supplementary Figure 5 from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
18. Supplementary Figures 1 - 5 from CD95L Cell Surface Cleavage Triggers a Prometastatic Signaling Pathway in Triple-Negative Breast Cancer
19. Supplementary Methods from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
20. Supplementary Figure 2 from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
21. Supplementary Figure 1 from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
22. Supplementary Figure 4 from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
23. Supplementary Methods from CD95L Cell Surface Cleavage Triggers a Prometastatic Signaling Pathway in Triple-Negative Breast Cancer
24. Abstract P5-02-37: Multi-omics approach to identify markers of resistance to endocrine therapy + CDK4/6 inhibitors in first line HR+/HER2- metastatic breast cancer (MBC) patients
25. Molecularly targeted therapy based on tumour molecular profiling versus conventional therapy for advanced cancer (SHIVA): a multicentre, open-label, proof-of-concept, randomised, controlled phase 2 trial
26. Identification of three subtypes of triple-negative breast cancer with potential therapeutic implications
27. Brain Neural Progenitors are New Predictive Biomarkers for Breast Cancer Hormonotherapy
28. Deformable image registration with deep network priors: a study on longitudinal PET images
29. A Bayesian Approach for Partial Gaussian Graphical Models With Sparsity.
30. Survivin contributes to DNA repair by homologous recombination in breast cancer cells
31. PERCIST-like response assessment with FDG PET based on automatic segmentation of all lesions in metastatic breast cancer.
32. Impact of HER2 Status on Pathological Response after Neoadjuvant Chemotherapy in Early Triple-Negative Breast Cancer
33. Abstract OT1-20-01: Feasibility of creation of a clinico-biological database: A prospective longitudinal cohort study of metastatic breast cancer patients (epicuresein)
34. Prognostic Value of Metabolic, Volumetric and Textural Parameters of Baseline [18F]FDG PET/CT in Early Triple-Negative Breast Cancer
35. Liste des auteurs
36. Meta and pooled analyses of FGFR4 Gly388Arg polymorphism as a cancer prognostic factor
37. Comment on ‘How the evolution of multicellularity set the stage for cancer’
38. Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment
39. Rucaparib in patients presenting a metastatic breast cancer with homologous recombination deficiency, without germline BRCA1/2 mutation
40. Molecular screening of interleukin-6 gene promoter and influence of −174G/C polymorphism on breast cancer
41. bc-GenExMiner: an easy-to-use online platform for gene prognostic analyses in breast cancer
42. A 38-gene expression signature to predict metastasis risk in node-positive breast cancer after systemic adjuvant chemotherapy: a genomic substudy of PACS01 clinical trial
43. Prediction of metastatic relapse in node-positive breast cancer: establishment of a clinicogenomic model after FEC100 adjuvant regimen
44. Abstract PS3-19: Prognostic value of textural associated with metabolic parameters of baseline 18FDG-PET/CT in early triple-negative breast cancer (TNBC)
45. Random forest of perfect trees: concept, performance, applications and perspectives
46. bc-GenExMiner 4.5: new mining module computes breast cancer differential gene expression analyses
47. A partial graphical model with a structural prior on the direct links between predictors and responses
48. Unpaired PET/CT image synthesis of liver region using CycleGAN
49. Rucaparib in patients presenting a metastatic breast cancer with Homologous Recombination Deficiency, without germline BRCA1/2 mutation
50. Validation of tumor-associated macrophage ferritin light chain as a prognostic biomarker in node-negative breast cancer tumors: A multicentric 2004 national PHRC study
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