1

On the Monte Carlo simulation of neutron-induced indirect DNA damage to estimate neutron relative biological effectiveness

On the Monte Carlo simulation of neutron-induced indirect DNA damage to estimate neutron relative biological effectiveness

On the Monte Carlo simulation of neutron-induced direct and indirect DNA damage to estimate neutron relative biological effectiveness

On the Monte Carlo simulation of neutron-induced direct and indirect DNA damage to estimate neutron relative biological effectiveness

Projet pilote pour le partage des donnees de radiotherapie par le portail patient Opal

Projet pilote pour le partage des donnees de radiothérapie par le portail patient Opal

Design and development of a novel infrastructure to securely share radiation therapy data through direct patient data sharing

Oral presentation on the design and development of an infrastructure for patients to securely share their radiation therapy data.

Empowered Patients, Informed Research - A pilot project for radiotherapy data donation using the Opal patient portal

Poster presentation on a pilot project for radiotherapy data donation using Opal.

Delivering Cancer Care During a Pandemic - Patient and Healthcare Staff Experience in a High-Volume Radiation Oncology Department

Poster presentation about a study on cancer care delivery during the COVID-19 pandemic.

Satisfaction Among Cancer Patients Undergoing Radiotherapy During The Covid-19 Pandemic

Poster presentation about a study on cancer care delivery during the COVID-19 pandemic.

A simulation CT based radiomics model for detecting metastatic spinal bone lesions

Poster presentation on a radiomics model for detecting metastatic bone lesions using simulation CT images.

Design and development of a novel infrastructure to securely share radiation therapy and imaging data through direct patient data sharing

Poster presentation on the design and development of an infrastructure for patients to securely share their radiation therapy data.

Natural Language Processing and Machine Learning to assist radiation oncology incident learning

Poster presentation on the development of a natural language processing pipeline to semi-automate the incident classification of an incident learning system.