Metallic nanoparticles are promising agents for increasing the effectiveness of radiation
therapy by making cells more sensitive to radiation. High atomic number nanoparticles …

The field of theranostics is rapidly advancing, driven by the goals of enhancing patient care.
Recent breakthroughs in artificial intelligence (AI) and its innovative theranostic applications …

Background Standardized patient‐specific pretreatment dosimetry planning is mandatory in
the modern era of nuclear molecular radiotherapy, which may eventually lead to …

Background: PET imaging after yttrium-90 (Y-90) radioembolization is challenging because
of the low positron fraction of Y-90 (32× 10− 6). The resulting low number of events can be …

The present study focuses on the determination of the optimal crystal thickness of LaCl3: Ce
and LaBr3: Ce crystal scintillators for Nuclear Medicine Imaging applications. A theoretical …

Objective. Following previous works on virtual sources model with Generative Adversarial
Network (GAN), we extend the proof of concept for generating back-to-back pairs of gammas …

Objective: A methodology is introduced for the development of an internal dosimetry
prediction toolkit for nuclear medical pediatric applications. The proposed study exploits …

Background Radiobiological effectiveness of radiation in cancer treatment can be studied at
different scales (molecular till organ scale) and different time post irradiation. The production …

Detailed simulation of optical photon transport and detection in radiation detectors is often
used for crystal-based gamma detector optimization. However, the time and memory burden …

The field of medical radiation shielding aims to minimize unnecessary radiation exposure.
However, lead-based materials have significant drawbacks including toxicity, heavy weight …