Floris van Velden

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Medical Physics Expert, head of Medical Technology Radiology (Feb. 2019)

Leiden University Medical Center

Netherlands

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Floris van Velden is a Medical Physics Expert and the head of Medical Technology Radiology at Leiden University Medical Center in the Netherlands. His research focuses on PET imaging technologies and radiomics, with recent articles exploring topics such as fibroblast activation protein inhibitors in gynecological malignancies, metabolic tumor volume measurement, and PSMA PET imaging in prostate and soft tissue sarcoma cancers. He contributes extensively to advancing imaging techniques and their applications in oncology.

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Multimodality imaging for personalising sarcoma care (MULTIPLE)

Open Date: 2020-01-01

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Floris van Velden

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Recent Grants

Articles (20)

Automated segmentation of the sacro-iliac joints, posterior spinal joints and discovertebral units on low-dose computed tomography for Na[18F]F PET lesion detection in spondyloarthritis patients

An exploratory assessment of early and delta PET radiomic features for outcome prediction in locally advanced cervical cancer

Head-to-head comparison of fibroblast activation protein inhibitors (FAPI) radiopharmaceuticals and [18F]FDG in gynaecological malignancies: systematic literature review and meta-analysis

Multicollinearity and redundancy of the PET radiomic feature set

PSMA expression and PSMA PET/CT imaging in metastatic soft tissue sarcoma patients, results of a prospective study

Towards harmonized holmium-166 SPECT image quality for dosimetry: a multi-center, multi-vendor study

Measuring Total Metabolic Tumor Volume from<sup>18</sup>F-FDG PET: A Reality Check

[18F]FDG administered activity reduction capabilities of a 32-cm axial field-of-view solid-state digital bismuth germanium oxide PET/CT system while maintaining EARL compliance

Deep learning image enhancement algorithms in PET/CT imaging: a phantom and sarcoma patient radiomic evaluation

Baseline PSMA PET/CT parameters predict overall survival and treatment response in metastatic castration-resistant prostate cancer patients

Challenges in Pharmacokinetic Modelling of [18F]fluoro-PEG-folate PET/CT Imaging in Epithelial Ovarian Cancer Patients

Augmenting CT-Guided Bone Biopsies Using <sup>18</sup>F-FDG PET/CT Guidance

Dynamic rubidium‐82 PET/CT as a novel tool for quantifying hemodynamic differences in renal blood flow using a one‐tissue compartment model

Is PET Radiomics Useful to Predict Pathologic Tumor Response and Prognosis in Locally Advanced Cervical Cancer?

Development and External Validation of a PET Radiomic Model for Prognostication of Head and Neck Cancer

Prognostic Value of [18F]FDG PET Radiomics to Detect Peritoneal and Distant Metastases in Locally Advanced Gastric Cancer—A Side Study of the Prospective Multicentre PLASTIC Study

89Zr-Trastuzumab PET/CT Imaging of HER2-Positive Breast Cancer for Predicting Pathological Complete Response after Neoadjuvant Systemic Therapy: A Feasibility Study

Baseline and early digital [18F]FDG PET/CT and multiparametric MRI contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients: a pilot study

Investigating the potential added value of [18F]FDG-PET/CT in long COVID patients with persistent symptoms: a proof of concept study

Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review

Collaborators (11)

Lioe-Fee de Geus-Oei

Lejla Alic

Daphne D. D. Rietbergen

Ronald Boellaard

Christophe Le Tourneau

D. E. Hilling

Wyanne Noortman

Christophe Deroose

Dennis Vriens

Riemer H. J. A. Slart

Gerben JC Zwezerijnen

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