activity
20202026
most citedDeep Learning for Biomedical Image Reconstruction: A Survey

13 citations · 14 across the 6 of their papers we have counts for

collaborators

6 papers

stat.AP2026

Modelling temporal dynamics of suicidal ideation and behaviour across pre- to early adolescence using a Markov framework

Sieun Lee, Ben Cardoen, Marianne Etherson +10

Understanding the dynamics of suicidal ideation and behaviour in youth and the factors associated with transitions from thoughts to behaviours is critical for early identification,…

math.CO2026

ROSA: Metric Amplification on Noisy Graphs with Theoretical Guarantees for Amplified Spectral Distances

Ben Cardoen, Fabian Spill

In many applications, graphs are observed repeatedly, where the task is to observe and track weak localized structural perturbations under noise, such as vertex-coordinate displace…

math.SP2026

Spectral Effects Of Heavy-Tailed Vertex Noise In Geometric Graphs

Ben Cardoen, Jeremy Budd, Enrico Amico +2

We characterize which local matrix structures saturate Weyl's eigenvalue perturbation bound for graph Laplacians under geometrically constrained vertex displacements. Geometric gra…

q-bio.SC2023

AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth

Ivan R. Nabi, Ben Cardoen, Ismail M. Khater +3

Super-resolution microscopy, or nanoscopy, enables the use of fluorescent-based molecular localization tools to study molecular structure at the nanoscale level in the intact cell,…

stat.ME2023★ 1 cited

Log-Paradox: Necessary and sufficient conditions for confounding statistically significant pattern reversal under the log-transform

Ben Cardoen, Hanene Ben Yedder, Sieun Lee +2

The log-transform is a common tool in statistical analysis, reducing the impact of extreme values, compressing the range of reported values for improved visualization, enabling the…

eess.IV2020★ 13 cited

Deep Learning for Biomedical Image Reconstruction: A Survey

Hanene Ben Yedder, Ben Cardoen, Ghassan Hamarneh

Medical imaging is an invaluable resource in medicine as it enables to peer inside the human body and provides scientists and physicians with a wealth of information indispensable…