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In vivo quantification of proliferation and glucose metabolism in lung cancer patients. 2014., E. Verwer. Quantification and clinical application of novel oncology PET imaging biomarkers. 2015., N. Makris. Quantitative PET/CT imaging and dosimetry of 89Zr labelled compounds. 2015., M. Kropholler. Quantification of 11C-PK11195 PET brain studies. 2015., S. Golla. Kinetic analysis and quantification of PET neuroimaging studies. 2017., S. Mansor. Quantication and Kinetic Analysis of Brain PET Studies. 2017., I. Lopez Alves. Challenges and opportunities in quantitative brain PET imaging. 2017., C.A. Sánchez Catasùs. Brain perfusion SPECT analysis: New insights in mild cognitive impairment and neuromyelitis optica. 2018., M. Zhuang. Segmentation and quantitative analysis in whole-body PET imaging. 2019., G.M. Kramer. Validation of imaging biomarkers for response evaluation in lung and prostate cancer. 2019., A. Kaleep. Standardisation and harmonisation of quantitative oncology PET/CT studies. 2020., M. Cysouw. Quantitative Imaging of Small Tumours with Positron Emission Tomography. 2020., D. Peretti. Quantitative Brain PET Analysis Methods in Dementia Studies. 2020., E. Pfaehler. Methodological aspects and standardization of PET radiomics studies. 2021., G. Kolinger. Methods for improved PET quantification: Applications in Oncology and Neurology. 2021., T. Koopmans on multiparametric PET/MR analysis in head and neck cancer studies (methodological aspects). 2022., R. Martens on multiparametric PET/MR analysis in head and neck cancer studies (clinical aspects). 2022., C. Burggraaf. 18F-FDG PET as biomarker of aggressive lymphoma; technical and clinical validation. 2022., J. van Sluis. New PET technologies- Performance, image quality, and clinical implications. 2022., J. Eertink. New perspectives on the role of PET imaging in diffuse large B-cell lymphoma. 2023., R.Iqbal. Bridging the gap – from methodological developments towards clinical implementation of imaging biomarkers in lung and breast cancer.2023., P. Knaapen, Clinical Investigations of Myocardial Perfusion using Oxygen-15-labeled water and Positron Emission Tomography. 2007., M. Westerterp. Oesophageal cancer: novel diagnostic and therapeutic modalities. 2007., B. Rijbroek. Carotid surgery. Potential of cerebrovascular PET measurements. 2008., M. Yaqub. Quantification of brain PET studies. 2009., F. Van Velden. Optimal Reconstruction Algorithms for High-Resolution Positron Emission Tomography. 2009., J. Mourik. Image Derived Input Functions for Cerebral PET Studies. 2009., A. Schuitemaker. Inflammation in Alzheimer's disease- in vivo quantification. 2012., P. Cheebsumon. Quantification and Tumour Delineation in PET. 2012., U. Klumpers. Neuroreceptor imaging of mood disorder related systems. 2013., H. Folkersma. Activated microglia after traumatic brain injury: the neuroinflammatory mastermind. 2015., H. Saadani on quantitative FDG uptake metrics as prognostic and predictive biomarkers in melanoma patients., H. Tuncell on synaptic density PET imaging and neuroPET methodology., W. Luining on PSMA prostate imaging and radiomics analysis., M. Ferrandez-Ferrandez on use of AI for treatment response prediction with FDG PET/CT of DLBCL patients., A. Somasundaram on the use of radiomics in Zr-Mab studies., J. Wijngaarden on quantification of immunoPET studies., K. Vrakidis on novel total body PET/CT image reconstructions and cell tracking., C. Smith on clinical applicability and quantitative utility of total body PET/CT., M. Schaafsma on use of molecular imaging of patients with adrenal cancer., >500 peer reviewed publications in international journals, 91, 65