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An examination of the relationship between daily rectal wall dose variations during prostate radiotherapy treatment with rectal volume and gas filling information

Oral presentation on an examination of the relationship between daily rectal wall dose variations during prostate radiotherapy treatment with rectal volume and gas filling information.

Development of a generalizable natural language processing pipeline to extract physician-reported pain scores from clinical reports in radiation oncology

Presentation on the development of a natural language processing pipeline to extract physician-reported pain scores from consultation notes of cancer patients with bone metastasis.

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.

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

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

On the simulation of neutron-induced indirect DNA damage using TOPAS-nBio to estimate neutron relative biological effectiveness

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

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

Relative Biological Effectiveness of Thermal Neutrons

Poster presentation on the relative biological effectiveness of thermal neutrons.

Single-cell DNA sequencing as a means to directly examine the size and frequency of radiation-induced mutations - an exploratory study

Poster presentation on the single-cell sequencing of X-ray-irradiated B-lymphoblastoid cells and the analysis of the resulting copy number variations.

Whodunnit? Identifying radiation as cancer culprit

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

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