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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Medical Physics Unit, Department of Oncology, McGill University
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
To investigate the feasibility and potential benefits of biologically optimised treatment planning (BiRT) utilizing heterogeneous focal-boost prescriptions based on patient-specific cell density distributions. This study compares conventional high-dose-rate b...
Accurate localization of brachytherapy needles in transrectal ultrasound (TRUS) is essential for high-quality treatment planning, yet remains challenging due to speckle noise, needle shadowing, and variable image quality. This work presents a robust, geometry...
To evaluate the feasibility of a hydrated-electron dosimeter prototype for proton FLASH beams and to characterize its sensitivity and response.
Monte Carlo (MC) simulations are the gold standard in high dose rate brachytherapy (HDR-BT) dosimetry, offering accurate dose-to-medium calculations beyond the dose-to-water calculations used clinically. However, clinical adoption remains limited by long simu...
To develop and validate a modality-aware cross-modal transformer for joint fusion in relapse-free survival prediction in HPV-associated oropharyngeal cancer (OPSCC), integrating PET/CT imaging and clinical data for risk stratification.
Background: Comparative studies show that at kilovoltage energies, EGSnrc and Geant4 can differ by several percent in ionization chamber response, particularly in small air cavities and steep dose gradients. These discrepancies are primarily attributed to dif...
This work demonstrated the feasibility of performing in-water dose calculations with Monte Carlo (MC) simulations of the Vektra Electronic Brachytherapy (EB) system (Empyrean, Boca Raton, FL). The Vektra is a novel method of EB, using beam steering and intern...
Survival models based on whole-slide images (WSIs) often function as "black boxes," hindering clinical adoption despite high accuracy. Clinicians require granular explanations to identify which tissue components drive prognostic risk. We present an agent-base...
Accurate measurement of the arterial input function (AIF) is important for kinetic modelling in dynamic PET but typically requires invasive arterial blood sampling. This study validates a novel quantification framework that leverages anatomical priors and a s...