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212 related items for PubMed ID: 35112080
21. Unraveling the interplay of image formation, data representation and learning in CT-based COPD phenotyping automation: The need for a meta-strategy. Mühlberg A, Kärgel R, Katzmann A, Durlak F, Allard PE, Faivre JB, Sühling M, Rémy-Jardin M, Taubmann O. Med Phys; 2021 Sep; 48(9):5179-5191. PubMed ID: 34129688 [Abstract] [Full Text] [Related]
22. Dose Reduction for Sinus and Temporal Bone Imaging Using Photon-Counting Detector CT With an Additional Tin Filter. Rajendran K, Voss BA, Zhou W, Tao S, DeLone DR, Lane JI, Weaver JM, Carlson ML, Fletcher JG, McCollough CH, Leng S. Invest Radiol; 2020 Feb; 55(2):91-100. PubMed ID: 31770297 [Abstract] [Full Text] [Related]
23. Influence of a Deep Learning Noise Reduction on the CT Values, Image Noise and Characterization of Kidney and Ureter Stones. Steuwe A, Valentin B, Bethge OT, Ljimani A, Niegisch G, Antoch G, Aissa J. Diagnostics (Basel); 2022 Jul 05; 12(7):. PubMed ID: 35885532 [Abstract] [Full Text] [Related]
27. Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used? Hoang-Thi TN, Vakalopoulou M, Christodoulidis S, Paragios N, Revel MP, Chassagnon G. Diagn Interv Imaging; 2021 Nov 05; 102(11):691-695. PubMed ID: 34686464 [Abstract] [Full Text] [Related]
30. Learning with privileged knowledge of multiple kernels via joint prediction for CT Kernel conversion. Hu C, Chen G. Med Phys; 2024 Jul 05; 51(7):4778-4792. PubMed ID: 38608647 [Abstract] [Full Text] [Related]