James Sanders


Lehrstuhl für Informatik 5 (Mustererkennung)

Publikationen (Download BibTeX)

Schmidkonz, C., Hollweg, C., Beck, M., Reinfelder, J., Götz, T., Sanders, J.,... Ritt, P. (2018). 99m Tc-MIP-1404-SPECT/CT for the detection of PSMA-positive lesions in 225 patients with biochemical recurrence of prostate cancer. Prostate, 78(1), 54-63. https://dx.doi.org/10.1002/pros.23444
Welz, F., Sanders, J., Kuwert, T., Maler, J., Kornhuber, J., & Ritt, P. (2016). Absolute SPECT/CT quantification of cerebral uptake of 99mTc-HMPAO for patients with neurocognitive disorders. Nuklearmedizin-Nuclear Medicine, 55(4), 158-65. https://dx.doi.org/10.3413/Nukmed-0765-15-09
Sanders, J., Ritt, P., Kuwert, T., Vija, A.H., & Maier, A. (2016). Fully Automated Data-Driven Respiratory Signal Extraction From SPECT Images Using Laplacian Eigenmaps. IEEE Transactions on Medical Imaging, 35(11), 2425-2435. https://dx.doi.org/10.1109/TMI.2016.2576899
Beck, M., Sanders, J., Ritt, P., Reinfelder, J., & Kuwert, T. (2016). Longitudinal analysis of bone metabolism using SPECT/CT and (99m)Tc-diphosphono-propanedicarboxylic acid: comparison of visual and quantitative analysis. EJNMMI Research, 6(1), 60. https://dx.doi.org/10.1186/s13550-016-0217-4
Sanders (III), J., Kuwert, T., Hornegger, J., & Ritt, P. (2015). Quantitative SPECT/CT Imaging of Lu-177 with In Vivo Validation in Patients Undergoing Peptide Receptor Radionuclide Therapy. Molecular Imaging and Biology, 17(4), 585-593. https://dx.doi.org/10.1007/s11307-014-0806-4

Zuletzt aktualisiert 2016-03-10 um 02:00