{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T16:00:48Z","timestamp":1785513648382,"version":"3.56.0"},"reference-count":17,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T00:00:00Z","timestamp":1785456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>GEometry ANd Tracking, version 4 (GEANT4) Dose and Radiation Interaction (G4DARI) is a GEANT4 Application for Tomographic Emission (GATE)\/GEANT4 built graphical, Windows-based interface designed to facilitate Monte Carlo dose calculations in computed tomography images of patients, small animals, and phantoms. Developed to remove the programming barrier commonly associated with handling image formats and using GATE and GEANT4 coding, G4DARI integrates Oracle virtual machine (VM) VirtualBox for running the simulation environment and PuTTY for secure communication between the VM and the host system. The interface allows users to perform complete Monte Carlo dose simulations using only mouse interactions, providing a streamlined workflow for clinically relevant simulations, preclinical and research applications, and educational purposes. This manuscript describes the architecture, workflow, and features of G4DARI, from the conversion of Digital Imaging and Communications in Medicine (DICOM) images to dose determination in any region of the digital image. Furthermore, G4DARI is freely available for download, providing users with an accessible platform for running their own dosimetry simulations.<\/jats:p>","DOI":"10.1093\/rpd\/ncag076","type":"journal-article","created":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T16:10:56Z","timestamp":1782922256000},"source":"Crossref","is-referenced-by-count":0,"title":["G4DARI: an intuitive graphical interface for Monte Carlo radiation dose calculation using GATE\/GEANT4"],"prefix":"10.1093","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7102-5964","authenticated-orcid":false,"given":"M\u2019hamed","family":"Bentourkia","sequence":"first","affiliation":[{"name":"Department of Medical Imaging and Radiation Sciences, University of Sherbrooke , 3001, 12th Avenue North, Sherbrooke, Quebec J1H 5N4 ,","place":["Canada"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,7,31]]},"reference":[{"key":"2026073111214589200_ref1","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1186\/s13014-018-1065-3","article-title":"Monte Carlo simulations in radiotherapy dosimetry","volume":"13","author":"Andreo","year":"2018","journal-title":"Radiat Oncol"},{"key":"2026073111214589200_ref2","doi-asserted-by":"publisher","first-page":"1195","DOI":"10.1007\/s13534-024-00423-x","article-title":"Monte Carlo methods for medical imaging research","volume":"14","author":"Lee","year":"2024","journal-title":"Biomed Eng Lett"},{"key":"2026073111214589200_ref3","doi-asserted-by":"publisher","first-page":"e80","DOI":"10.1017\/S1460396923000079","article-title":"Monte-Carlo techniques for radiotherapy applications. 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