Search

Your search keyword '"Pim J. French"' showing total 300 results

Search Constraints

Start Over You searched for: Author "Pim J. French" Remove constraint Author: "Pim J. French"
300 results on '"Pim J. French"'

Search Results

1. Malignant glioma in L-2-Hydroxy Glutaric Aciduria: thorough molecular characterization of a case and literature review

2. Federated learning enables big data for rare cancer boundary detection

3. Alternative normalization and analysis pipeline to address systematic bias in NanoString GeoMx Digital Spatial Profiling data

4. The transcriptional landscape of Shh medulloblastoma

5. Author Correction: Federated learning enables big data for rare cancer boundary detection

6. Low-grade glioma harbors few CD8 T cells, which is accompanied by decreased expression of chemo-attractants, not immunogenic antigens

7. The Erasmus Glioma Database (EGD): Structural MRI scans, WHO 2016 subtypes, and segmentations of 774 patients with glioma

8. Pattern of Relapse and Treatment Response in WNT-Activated Medulloblastoma

9. Clinical evaluation of a dedicated next generation sequencing panel for routine glioma diagnostics

10. TRiC controls transcription resumption after UV damage by regulating Cockayne syndrome protein A

11. Modeling Prostate Cancer Treatment Responses in the Organoid Era: 3D Environment Impacts Drug Testing

12. A validated microRNA profile with predictive potential in glioblastoma patients treated with bevacizumab

16. Longitudinal molecular trajectories of diffuse glioma in adults.

17. EANO guideline on rational molecular testing of gliomas, glioneuronal, and neuronal tumors in adults for targeted therapy selection

18. WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning.

19. Molecular markers related to patient outcome in patients with IDH-mutant astrocytomas grade 2 to 4: A systematic review

20. Failure of human rhombic lip differentiation underlies medulloblastoma formation

21. Genetic and epigenetic determinants of reactivation of Mecp2 and the inactive X chromosome in neural stem cells

22. Data from A Hypermethylated Phenotype Is a Better Predictor of Survival than MGMT Methylation in Anaplastic Oligodendroglial Brain Tumors: A Report from EORTC Study 26951

24. Supplementary Table 2 from MGMT-STP27 Methylation Status as Predictive Marker for Response to PCV in Anaplastic Oligodendrogliomas and Oligoastrocytomas. A Report from EORTC Study 26951

25. Appendix 2 from Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm

26. Supplementary Table 3 from MGMT-STP27 Methylation Status as Predictive Marker for Response to PCV in Anaplastic Oligodendrogliomas and Oligoastrocytomas. A Report from EORTC Study 26951

27. Supplementary Figure from Prognostic Significance of DNA Methylation Profiles at MRI Enhancing Tumor Recurrence: a Report from the EORTC 26091 TAVAREC Trial

28. Data from Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm

29. Online Figure 2 from Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm

30. Data from Prognostic Significance of DNA Methylation Profiles at MRI Enhancing Tumor Recurrence: a Report from the EORTC 26091 TAVAREC Trial

31. Supplementary Data from Temozolomide and Radiotherapy versus Radiotherapy Alone in Patients with Glioblastoma, IDH-wildtype: Post Hoc Analysis of the EORTC Randomized Phase III CATNON Trial

33. Supplementary Table 4 from MGMT-STP27 Methylation Status as Predictive Marker for Response to PCV in Anaplastic Oligodendrogliomas and Oligoastrocytomas. A Report from EORTC Study 26951

34. Appendix 1 from Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm

35. Supplementary Table 1 from MGMT-STP27 Methylation Status as Predictive Marker for Response to PCV in Anaplastic Oligodendrogliomas and Oligoastrocytomas. A Report from EORTC Study 26951

37. Supplementary Data from Prognostic Significance of DNA Methylation Profiles at MRI Enhancing Tumor Recurrence: a Report from the EORTC 26091 TAVAREC Trial

38. Supplementary Table 2 from A Hypermethylated Phenotype Is a Better Predictor of Survival than MGMT Methylation in Anaplastic Oligodendroglial Brain Tumors: A Report from EORTC Study 26951

39. Supplementary Table 1 from A Hypermethylated Phenotype Is a Better Predictor of Survival than MGMT Methylation in Anaplastic Oligodendroglial Brain Tumors: A Report from EORTC Study 26951

40. Appendix 5 from Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm

44. Data from MGMT-STP27 Methylation Status as Predictive Marker for Response to PCV in Anaplastic Oligodendrogliomas and Oligoastrocytomas. A Report from EORTC Study 26951

45. Data from Temozolomide and Radiotherapy versus Radiotherapy Alone in Patients with Glioblastoma, IDH-wildtype: Post Hoc Analysis of the EORTC Randomized Phase III CATNON Trial

46. Supplementary Figure from Temozolomide and Radiotherapy versus Radiotherapy Alone in Patients with Glioblastoma, IDH-wildtype: Post Hoc Analysis of the EORTC Randomized Phase III CATNON Trial

49. Online Figure 1 from Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm

50. Supplementary Figure 3 from MGMT-STP27 Methylation Status as Predictive Marker for Response to PCV in Anaplastic Oligodendrogliomas and Oligoastrocytomas. A Report from EORTC Study 26951

Catalog

Books, media, physical & digital resources