78 citations · 167 across the 7 of their papers we have counts for
9 papers
BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans
Hongkang Song, Zihui Zhang, Yanpeng Zhou +7
Spinal cord tumors significantly contribute to neurological morbidity and mortality. Precise morphometric quantification, encompassing the size, location, and type of such tumors,…
Understanding the impact of numerical solvers on inference for differential equation models
Richard Creswell, Katherine M. Shepherd, Ben Lambert +5
Most ordinary differential equation (ODE) models used to describe biological or physical systems must be solved approximately using numerical methods. Perniciously, even those solv…
Empirical quantification of predictive uncertainty due to model discrepancy by training with an ensemble of experimental designs: an application to ion channel kinetics
Joseph G. Shuttleworth, Chon Lok Lei, Dominic G. Whittaker +4
When mathematical biology models are used to make quantitative predictions for clinical or industrial use, it is important that these predictions come with a reliable estimate of t…
Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems
Ben Lambert, Chon Lok Lei, Martin Robinson +5
Ordinary differential equation models are used to describe dynamic processes across biology. To perform likelihood-based parameter inference on these models, it is necessary to spe…
A hackable, multi-functional, and modular extrusion 3D printer for soft materials
Iek Man Lei, Yaqi Sheng, Chon Lok Lei +2
Three-dimensional (3D) printing has emerged as a powerful tool for material, food, and life science research and development, where the technology democratization necessitates the…
Using flexible noise models to avoid noise model misspecification in inference of differential equation time series models
Richard Creswell, Ben Lambert, Chon Lok Lei +2
When modelling time series, it is common to decompose observed variation into a "signal" process, the process of interest, and "noise", representing nuisance factors that obfuscate…
Model Evidence with Fast Tree Based Quadrature
Thomas Foster, Chon Lok Lei, Martin Robinson +2
High dimensional integration is essential to many areas of science, ranging from particle physics to Bayesian inference. Approximating these integrals is hard, due in part to the d…
Considering discrepancy when calibrating a mechanistic electrophysiology model
Chon Lok Lei, Sanmitra Ghosh, Dominic G. Whittaker +14
Uncertainty quantification (UQ) is a vital step in using mathematical models and simulations to take decisions. The field of cardiac simulation has begun to explore and adopt UQ me…
Probabilistic Inference on Noisy Time Series (PINTS)
Michael Clerx, Martin Robinson, Ben Lambert +4
Time series models are ubiquitous in science, arising in any situation where researchers seek to understand how a system's behaviour changes over time. A key problem in time series…