26 results on '"Corroyer-Dulmont, Aurélien"'
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2. Artificial intelligence-based PET denoising could allow a two-fold reduction in [18F]FDG PET acquisition time in digital PET/CT
3. Early characterization and prediction of glioblastoma and brain metastases treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms
4. Multimodal evaluation of hypoxia in brain metastases of lung cancer and interest of hypoxia image-guided radiotherapy
5. Deep Learning Denoising Improves and Homogenizes Patient [18F]FDG PET Image Quality in Digital PET/CT
6. Assessment of hypoxia and oxidative-related changes in a lung-derived brain metastasis model by [64Cu][Cu(ATSM)] PET and proteomic studies.
7. Supplementary Methods from Inactivation of the HIF-1α/PDK3 Signaling Axis Drives Melanoma toward Mitochondrial Oxidative Metabolism and Potentiates the Therapeutic Activity of Pro-Oxidants
8. Data from Inactivation of the HIF-1α/PDK3 Signaling Axis Drives Melanoma toward Mitochondrial Oxidative Metabolism and Potentiates the Therapeutic Activity of Pro-Oxidants
9. Supplementary Figure 1 from Inactivation of the HIF-1α/PDK3 Signaling Axis Drives Melanoma toward Mitochondrial Oxidative Metabolism and Potentiates the Therapeutic Activity of Pro-Oxidants
10. Supplementary Figure 4 from Inactivation of the HIF-1α/PDK3 Signaling Axis Drives Melanoma toward Mitochondrial Oxidative Metabolism and Potentiates the Therapeutic Activity of Pro-Oxidants
11. Supplementary Table 1 from Inactivation of the HIF-1α/PDK3 Signaling Axis Drives Melanoma toward Mitochondrial Oxidative Metabolism and Potentiates the Therapeutic Activity of Pro-Oxidants
12. Supplementary Figure 5 from Inactivation of the HIF-1α/PDK3 Signaling Axis Drives Melanoma toward Mitochondrial Oxidative Metabolism and Potentiates the Therapeutic Activity of Pro-Oxidants
13. Supplementary Figure 2 from Inactivation of the HIF-1α/PDK3 Signaling Axis Drives Melanoma toward Mitochondrial Oxidative Metabolism and Potentiates the Therapeutic Activity of Pro-Oxidants
14. Supplementary Figure Legends 1-5 from Inactivation of the HIF-1α/PDK3 Signaling Axis Drives Melanoma toward Mitochondrial Oxidative Metabolism and Potentiates the Therapeutic Activity of Pro-Oxidants
15. Supplementary Figure 3 from Inactivation of the HIF-1α/PDK3 Signaling Axis Drives Melanoma toward Mitochondrial Oxidative Metabolism and Potentiates the Therapeutic Activity of Pro-Oxidants
16. Deep Hybrid Learning Prediction of Patient-Specific Quality Assurance in Radiotherapy: Implementation in Clinical Routine
17. Application of a new spectral deconvolution method for in vitro dosimetry in assessment of targeted alpha therapy
18. Magnetic resonance imaging of hypoxia in acute stroke: a cross‐validation study against FMISO‐positron emission tomography
19. Magnetic resonance imaging of hypoxia in acute stroke compared with fluorine‐18 fluoromisonidazole‐positron emission tomography: A cross‐validation study?
20. Deep Hybrid Learning prediction of patient specific quality assurance in radiotherapy: implementation in clinical routine
21. Deep Learning Denoising Improves and Homogenizes Patient [ 18 F]FDG PET Image Quality in Digital PET/CT.
22. Magnetic resonance imaging of hypoxia in acute stroke compared with fluorine‐18 fluoromisonidazole‐positron emission tomography: A cross‐validation study?
23. The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI
24. Artificial intelligence-based PET denoising could allow a two-fold reduction in [18F]FDG PET acquisition time in digital PET/CT.
25. The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI.
26. Machine learning and deep learning prediction of patient specific quality assurance in breast IMRT radiotherapy plans using Halcyon specific complexity indices.
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