output
20132025
most citedGenomics models in radiotherapy: from mechanistic to machine learning

27 citations

5 papers

physics.med-ph2025

LET measurements and simulation modelling of the charged particle field for the Clatterbridge ocular proton therapy beamline

Jacinta S. L. Yap, Navrit J. S. Bal, Mark D. Brooke +7

Proton therapy can achieve a highly targeted treatment by utilising the advantageous dosimetric characteristics of the Bragg Peak. Protons traversing through a material will deposi…

stat.AP2019★ 27 cited

Genomics models in radiotherapy: from mechanistic to machine learning

John Kang, James T. Coates, Robert L. Strawderman +2

Machine learning provides a broad framework for addressing high-dimensional prediction problems in classification and regression. While machine learning is often applied for imagin…

cs.CV2017

Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization

Davis M. Vigneault, Weidi Xie, David A. Bluemke +1

Feature tracking Cardiac Magnetic Resonance (CMR) has recently emerged as an area of interest for quantification of regional cardiac function from balanced, steady state free prece…

physics.med-ph2016★ 7 cited

Using Stable Distributions to Characterize Proton Pencil Beams

Frank Van den Heuvel, Francesca Fiorini, Niek Schreuder +1

Purpose: To introduce and evaluate the use of stable distributions as a means of describing the behavior of charged particle pencil beams in a medium, with specific emphasis on pro…

physics.med-ph2013★ 9 cited

A closed parameterization of DNA-damage by charged particles as a function of energy - A geometrical approach

Frank Van den Heuvel

Purpose: To present a closed formalism calculating charged particle radiation damage induced in DNA. The formalism is valid for all types of charged particles and due to its closed…