The goal of the present study was to propose first local diagnostic reference levels (DRLs) for interventional pediatric cardiology procedures in a large hospital Colombia. data collection period from April 2020 July 2022. DRLs were calculated as 3rd quartile patient-dose distributions kerma-area product (Pka) values. sample collected clinical (255) divided into and therapeutic grouped five wei...

This paper proposes adversarial attacks for Reinforcement Learning (RL) and then improves the robustness of Deep Reinforcement Learning algorithms (DRL) to parameter uncertainties with the help of these attacks. We show that even a naively engineered attack successfully degrades the performance of DRL algorithm. We further improve the attack using gradient information of an engineered loss func...

Dosis radiasi CT Scan menyumbang 70% Total dosis yang diterima dari pencitraan medis, tinggi atau rendahnya dapat meningkatkan risiko kanker. Untuk memastikan sebanding dengan tujuan medisnya, ke pasien perlu dioptimisasi menerapkan Diagnostic Reference Level (DRL) untuk mengoptimalkan perlindungan paparan medis bagi pasien. Evaluasi pemeriksaan MSCT Thorax dan penerapan DRL belum pernah dilaku...

abstractbackground: although electronic portal imaging devices (epids) have originally developed for positioning verification, they can also be used for dosimetric purposes. in the current work, the dose response of minimum detectable thickness of a scanning liquid filled ion chamber epid, slic-epid, and the variation of transmitted dose with the shift of inhomogeneity inside of phantom was als...

Network virtualization is a main paradigm of Future Internet research. It allows for automatic creation of virtual networks with application specific resource management, routing, topology and naming. Since those virtual networks need to be implemented by means of the underlying physical network, the Virtual Network Mapping Problem (VNMP) arises. In this work, we introduce the Virtual Network M...

1 In the European Council Directive 97/43 EURATOM on health protection of individual against the dangers of ionising radiation in relation to medical exposure1 interventional procedures are considered as a “special practice” involving high radiation doses to patients and requiring quality assurance programmes including patient dose evaluations. Practitioners performing such procedures shall obt...

The DRL (Delayed Reinforcement Learning) problem is classical in Reinforcement Learning theory. There were several agent architectures solving that problem including some connectionist architectures. This work describes an early connectionist agent architecture, the CAA architecture, that solved the problem using the concept of emotion it its learning rule. The architecture is compared to anoth...