output
20162024
most citedImproving Chest X-Ray Report Generation by Leveraging Warm Starting

159 citations

8 papers

cs.LG2024★ 25 cited

Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning

Annette Spooner, Mohammad Karimi Moridani, Azadeh Safarchi +4

The complementary information found in different modalities of patient data can aid in more accurate modelling of a patient's disease state and a better understanding of the underl…

cs.SE2024★ 2 cited

SAFE: Advancing Large Language Models in Leveraging Semantic and Syntactic Relationships for Software Vulnerability Detection

Van Nguyen, Surya Nepal, Tingmin Wu +2

Software vulnerabilities (SVs) have emerged as a prevalent and critical concern for safety-critical security systems. This has spurred significant advancements in utilizing AI-base…

cs.CV2022★ 159 cited

Improving Chest X-Ray Report Generation by Leveraging Warm Starting

Aaron Nicolson, Jason Dowling, Bevan Koopman

Automatically generating a report from a patient's Chest X-Rays (CXRs) is a promising solution to reducing clinical workload and improving patient care. However, current CXR report…

cs.SI2020★ 11 cited

Vaccination strategies on dynamic networks with indirect transmission links and limited contact information

Md Shahzamal, Raja Jurdak, Bernard Mans +2

Infectious diseases are still a major global burden for modern society causing 13 million deaths annually. One way to reduce the morbidity and mortality rates from infectious disea…

stat.ME2019★ 1 cited

Bayesian Modeling of Multiple Structural Connectivity Networks During the Progression of Alzheimer's Disease

Christine B. Peterson, Nathan Osborne, Francesco C. Stingo +3

Alzheimer's disease is the most common neurodegenerative disease. The aim of this study is to infer structural changes in brain connectivity resulting from disease progression usin…

cs.SI2017★ 26 cited

Universal Components of Real-world Diffusion Dynamics based on Point Processes

Minkyoung Kim, Raja Jurdak, Dean Paini

Bursts in human and natural activities are highly clustered in time, suggesting that these activities are influenced by previous events within the social or natural system. Bursty…

cs.DC2016★ 14 cited

META-pipe - Pipeline Annotation, Analysis and Visualization of Marine Metagenomic Sequence Data

Espen Mikal Robertsen, Tim Kahlke, Inge Alexander Raknes +5

The marine environment is one of the most important sources for microbial biodiversity on the planet. These microbes are drivers for many biogeochemical processes, and their enormo…

stat.AP2016

Clustering action potential spikes: Insights on the use of overfitted finite mixture models and Dirichlet process mixture models

Zoé van Havre, Nicole White, Judith Rousseau +1

The modelling of action potentials from extracellular recordings, or spike sorting, is a rich area of neuroscience research in which latent variable models are often used. Two such…