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29 results on '"Ahmed Elakkad"'

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1. Time and space multi-manned assembly line balancing problem using genetic algorithm

4. Supplementary Figure 3 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models

5. Supplementary Figure 5 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models

6. Supplementary Figure 6 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models

7. Supplementary Figure 7 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models

8. Supplementary Figure Legends and Methods from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models

9. Supplementary Figure 4 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models

10. Supplementary Figure 2 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models

11. Supplementary Figure 1 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models

12. Data from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models

13. Supplementary Tables from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models

14. Time and space multi-manned assembly line balancing problem using genetic algorithm

15. Durability of partial splenic artery embolization on platelet counts for cancer patients with hypersplenism-related thrombocytopenia

16. Endovascular Stroke Interventions: Procedural Complications and Management

17. Multi-center study finds postoperative residual non-enhancing component of glioblastoma as a new determinant of patient outcome

18. Styloid Process Osteoradionecrosis

19. Distinct Radiomic Phenotypes Define Glioblastoma TP53-PTEN-EGFR Mutational Landscape

20. A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models

21. NIMG-91. RADIOMIC ANALYSIS OF PSEUDO-PROGRESSION COMPARED TO TRUE PROGRESSION IN GLIOBLASTOMA PATIENTS: A LARGE-SCALE MULTI-INSTITUTIONAL STUDY

22. 213 Radiomic Machine Learning Algorithms Discriminate Pseudo-Progression From True Progression in Glioblastoma Patients

23. Glioblastoma-infiltrated innate immune cells resemble M0 macrophage phenotype

24. 100 Toward the Co-clinical Glioblastoma Treatment Paradigm—Radiomic Machine Learning Identifies Glioblastoma Gene Expression in Patients and Corresponding Xenograft Tumor Models

25. Abstract 3040: Radiomics discriminates pseudo-progression from true progression in glioblastoma patients: A large-scale multi-institutional study

26. 139 Clinically Applicable and Biologically Validated MRI Radiomic Test Method Predicts Glioblastoma Genomic Landscape and Survival

27. Radiomic analysis of pseudo-progression compared to true progression in glioblastoma patients: A large-scale multi-institutional study

28. TMIC-04. GLIOBLASTOMA-ASSOCIATED MYELOID CELLS DISPLAY NONPOLARIZED M0 MACROPHAGE PHENOTYPE

29. Identification, characterization, and validation of NBS-encoding genes in grass pea

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