output
20202026
most citedProton Resonance Shift Thermometry: A review of modern clinical practices

75 citations

7 papers

cs.AI2026★ 1 cited

Retrieval-aligned Tabular Foundation Models Enable Robust Clinical Risk Prediction in Electronic Health Records Under Real-world Constraints

Minh-Khoi Pham, Thang-Long Nguyen Ho, Thao Thi Phuong Dao +8

Clinical prediction from structured electronic health records (EHRs) is challenging due to high dimensionality, heterogeneity, class imbalance, and distribution shift. While tabula…

cs.AI2025★ 1 cited

Explainable AI for Infection Prevention and Control: Modeling CPE Acquisition and Patient Outcomes in an Irish Hospital with Transformers

Minh-Khoi Pham, Tai Tan Mai, Martin Crane +9

Carbapenemase-Producing Enterobacteriace poses a critical concern for infection prevention and control in hospitals. However, predictive modeling of previously highlighted CPE-asso…

physics.med-ph2024★ 75 cited

Proton Resonance Shift Thermometry: A review of modern clinical practices

J. Blackwell, M. J. Krasny, A. O'Brien +4

Magnetic Resonance Imaging (MRI) has become a popular modality in guiding minimally invasive thermal therapies, due to its advanced, non-ionizing, imaging capabilities and its abil…

eess.SY2024★ 24 cited

Single and Multi-Objective Real-Time Optimisation of an Industrial Injection Moulding Process via a Bayesian Adaptive Design of Experiment Approach

Mandana Kariminejad, David Tormey, Caitríona Ryan +3

Minimising cycle time without inducing quality defects is a major challenge in the injection moulding (IM). Design of Experiment methods (DoE) have been widely studied for optimisa…

cs.CV2024★ 26 cited

Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN

Muhammad Ali Farooq, Wang Yao, Michael Schukat +2

This study explores the utilization of Dermatoscopic synthetic data generated through stable diffusion models as a strategy for enhancing the robustness of machine learning model t…

eess.IV2021★ 22 cited

Feature Fusion of Raman Chemical Imaging and Digital Histopathology using Machine Learning for Prostate Cancer Detection

Trevor Doherty, Susan McKeever, Nebras Al-Attar +10

The diagnosis of prostate cancer is challenging due to the heterogeneity of its presentations, leading to the over diagnosis and treatment of non-clinically important disease. Accu…

eess.IV2020

Assessing Automated Machine Learning service to detect COVID-19 from X-Ray and CT images: A Real-time Smartphone Application case study

Razib Mustafiz, Khaled Mohsin

The recent outbreak of SARS COV-2 gave us a unique opportunity to study for a non interventional and sustainable AI solution. Lung disease remains a major healthcare challenge with…