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4. FDG-PET/CT in colorectal cancer: potential for vascular-metabolic imaging to provide markers of prognosis

5. [18F]FDG PET/CT Signal Correlates with Neoangiogenesis Markers in Patients with Fibrotic Interstitial Lung Disease Who Underwent Lung Biopsy: Implication for the Use of PET/CT in Diffuse Lung Diseases

9. RF009 / #235 FEASIBILITY OF 18FDG-PET-CT ASSESSMENT OF MULTIFIDUS ACTIVITY AND RADIOMICS BASED HETEROGENEITY ANALYSIS DURING RESTORATIVE NEUROSTIMULATION

12. Correction to: FDG-PET/CT in colorectal cancer: potential for vascular-metabolic imaging to provide markers of prognosis

14. Pulmonary 18F-FDG up-take refines current risk stratification in non-specific interstitial pneumonitis (NSIP) and predicts response to treatment.

15. Towards Detecting High-Uptake Lesions from Lung CT Scans Using Deep Learning

19. Advances in image texture analysis for medical diagnosis and prognosis

22. Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain

23. Supplementary Figure 1 from Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non–Small Cell Lung Cancer

24. Supplementary Figure 2 from Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non–Small Cell Lung Cancer

25. Supplementary Data from Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non–Small Cell Lung Cancer

26. Supplementary Table 1 from Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non–Small Cell Lung Cancer

27. Appendix from Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non–Small Cell Lung Cancer

28. Texture Analysis for Identifying Heterogeneity in Medical Images

30. Multi-center evaluation of baseline neutrophil-to-lymphocyte (NLR) ratio as an independent predictor of mortality and clinical risk stratifier in idiopathic pulmonary fibrosis

43. Filtration-histogram based texture analysis and CALIPER based pattern analysis as quantitative CT techniques in idiopathic pulmonary fibrosis: head-to-head comparison

45. Potential impact of texture analysis in contrast enhanced CT in non-small cell lung cancer as a marker of survival:A retrospective feasibility study

47. [18F]FDG PET signal correlates with markers of neo-angiogenesis in patients with fibrotic interstitial lung disease who underwent lung biopsy: Implication for the use of PET/CT in diffuse lung diseases

48. Multi-center evaluation of baseline neutrophil:lymphocyte (NLR) ratio as an independent predictor of mortality and clinical risk stratifier in Idiopathic Pulmonary Fibrosis

49. Correction to: FDG-PET/CT in colorectal cancer: potential for vascular-metabolic imaging to provide markers of prognosis

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