2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport
Peter A. Wijeratne, Daniel C. Alexander
Disease progression models infer group-level temporal trajectories of change in patients' features as a chronic degenerative condition plays out. They provide unique insight into d…
physics.med-ph2021★ 1 cited
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease
Ashkan Pakzad, Wing Keung Cheung, Kin Quan +21
Abnormal airway dilatation, termed traction bronchiectasis, is a typical feature of idiopathic pulmonary fibrosis (IPF). Volumetric computed tomography (CT) imaging captures the lo…
cs.LG2020★ 2 cited
Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression
Peter A. Wijeratne, Daniel C. Alexander
Progressive diseases worsen over time and are characterised by monotonic change in features that track disease progression. Here we connect ideas from two formerly separate methodo…