Keywords
Artificial Intelligence; Cachexia; Lung Neoplasms; Positron-Emission Tomography; Whole Body Imaging
Research group(s)
- QIMP group
Head: Thomas Beyer, PhD, MBA
Research Area: Quantitative, combined imaging (PET/CT, PET/MR, SPECT/CT); Supporting clinical adoption of fully integrated PET/MRI; Image-based phenotyping and texture analysis
Members:
Selected publications
- Sundar, L.K.S. et al. (2022) ‘Fully Automated, Semantic Segmentation of Whole-Body18F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence’, Journal of Nuclear Medicine, 63(12), pp. 1941–1948. Available at: http://dx.doi.org/10.2967/jnumed.122.264063.
- Zhao, M. et al. (2022) ‘Nuclear Molecular Imaging of Disease Burden and Response to Treatment for Cardiac Amyloidosis’, Biology, 11(10), p. 1395. Available at: http://dx.doi.org/10.3390/biology11101395.
- Zisser, L. et al. (2022) ‘Response to [177Lu]Lu-PSMA radioligand therapy in metastatic castration-resistant prostate cancer patients presenting with only lymph node metastases’, Nuclear Medicine Communications, 43(11), pp. 1113–1120. Available at: http://dx.doi.org/10.1097/mnm.0000000000001611.
- Seifert, R. et al. (2023) ‘A Prognostic Risk Score for Prostate Cancer Based on PSMA PET–derived Organ-specific Tumor Volumes’, Radiology, 307(4). Available at: http://dx.doi.org/10.1148/radiol.222010.