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An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients
Ferrández, M. C., Golla, S. S. V., Eertink, J. J., de Vries, B. M., Lugtenburg, P. J., Wiegers, S. E., Zwezerijnen, G. J. C., Pieplenbosch, S., Kurch, L., Hüttmann, A., Hanoun, C., Dührsen, U., de Vet, H. C. W., Hoekstra, O. S., Burggraaff, C. N., Bes, A., Heymans, M. W., Jauw, Y. W. S., Chamuleau, M. E. D., Barrington, S. F., & 13 others, Dec 2023, In: Scientific reports. 13, 1, 13111.Research output: Contribution to journal › Article › Academic › peer-review
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Reproducibility of [18F]FDG PET/CT liver SUV as reference or normalisation factor
Zwezerijnen, G. J. C., Eertink, J. J., Ferrández, M. C., Wiegers, S. E., Burggraaff, C. N., Lugtenburg, P. J., Heymans, M. W., de Vet, H. C. W., Zijlstra, J. M. & Boellaard, R., Jan 2023, In: European journal of nuclear medicine and molecular imaging. 50, 2, p. 486-493 8 p.Research output: Contribution to journal › Article › Academic › peer-review
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18F-FDG PET as biomarker in aggressive lymphoma; technical and clinical validation
Burggraaff, C. N., 9 Sept 2022, Ede: proefschriftenprinten.nl. 274 p.Research output: PhD Thesis › Phd-Thesis - Research and graduation internal
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