output
20202025
most citedUsing statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example

60 citations

10 papers

astro-ph.HE2025

SN 2024hpj: A perspective on SN 2009ip-like events

I. Salmaso, A. Pastorello, E. Borsato +25

Supernovae (SNe) IIn are terminal explosions of massive stars that are surrounded by a dense circumstellar medium (CSM). Among SNe IIn, a notable subset is the SN 2009ip-like, whic…

cs.SD2025★ 1 cited

Data Standards in Audiology: A Mixed-Methods Exploration of Community Perspectives and Implementation Considerations

Charlotte Vercammen, Antje Heinrich, Christophe Lesimple +3

Objective: This study addresses conceptual issues around data standardisation in audiology, and outlines steps toward achieving it. It reports a survey of the computational audiolo…

cs.CV2025★ 8 cited

Revisiting Medical Image Retrieval via Knowledge Consolidation

Yang Nan, Huichi Zhou, Xiaodan Xing +5

As artificial intelligence and digital medicine increasingly permeate healthcare systems, robust governance frameworks are essential to ensure ethical, secure, and effective implem…

eess.IV2024★ 4 cited

Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction

Cynthia Maldonado-Garcia, Arezoo Zakeri, Alejandro F Frangi +1

Early identification of patients at risk of cardiovascular diseases (CVD) is crucial for effective preventive care, reducing healthcare burden, and improving patients' quality of l…

stat.ME2023★ 19 cited

How to develop, externally validate, and update multinomial prediction models

Celina K Gehringer, Glen P Martin, Ben Van Calster +3

Multinomial prediction models (MPMs) have a range of potential applications across healthcare where the primary outcome of interest has multiple nominal or ordinal categories. Howe…

eess.IV2023★ 6 cited

Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI

Nicolás Gaggion, Benjamin A. Matheson, Yan Xia +6

Cardiovascular magnetic resonance imaging is emerging as a crucial tool to examine cardiac morphology and function. Essential to this endeavour are anatomical 3D surface and volume…