Publications

Magnetic and radio-labeled bio-hybrid scaffolds to promote and track in vivo the progress of bone regeneration.

Read more

Nonpeptidic Z360-Analogs Tagged with Trivalent Radiometals as Anti-CCK2R Cancer Theranostic Agents: A Preclinical Study.

Read more

In vivo biodistribution of edelfosine-loaded lipid nanoparticles radiolabeled with Technetium-99 m: Comparison of administration routes in mice.

Read more

A Novel Experimental Rat Model for the In Vivo Assessment of Myocardial Ischemia Based on Single Photon Emission Computed Tomography.

Read more

[111In]In/[177Lu]Lu-AAZTA5-LM4 SST2R-Antagonists in Cancer Theranostics: From Preclinical Testing to First Patient Results.

Read more

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Read more

Α Humanized RANKL Transgenic Mouse Model of Progestin-Induced Mammary Carcinogenesis for Evaluation of Novel Therapeutics

Read more

Side-Chain Modified [99mTc]Tc-DT1 Mimics: A Comparative Study in NTS1R-Positive Models

Read more

Mesenchymal Stem Cell Transplantation Has a Regenerative Effect in Ischemic Myocardium: An Experimental Rat Model Evaluated by SPECT-CT Assessment

Read more

Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography

Read more

HPC+ in the medical field: Overview and current examples

Read more

Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization

Read more

A personalized, Monte Carlo-based method for internal dosimetric evaluation of radiopharmaceuticals in children

Read more

A framework for prediction of personalized pediatric nuclear medical dosimetry based on machine learning and Monte Carlo techniques

Read more

Size-specific dose estimations for pediatric chest, abdomen/pelvis and head CT scans with the use of GATE

Read more

A deep-learning-based prediction model for the biodistribution of 90Y microspheres in liver radioembolization

Read more