1 citations · 1 across the 8 of their papers we have counts for
10 papers
T* and Susceptibility Mapping as Indicators of Placental Health
Amy Turnbull, George Hutchinson, Louise Dewick +8
Objective(s): T* and susceptibility () MRI mapping provide complimentary measures of the haemodynamic environment in the placenta. The aims of this work were to use these si…
Standardizing Longitudinal Radiology Report Evaluation via Large Language Model Annotation
Xinyi Wang, Grazziela Figueredo, Ruizhe Li +1
Longitudinal information in radiology reports refers to the sequential tracking of findings across multiple examinations over time, which is crucial for monitoring disease progress…
Active Learning Driven Materials Discovery for Low Thermal Conductivity Rare-Earth Pyrochlore for Thermal Barrier Coatings
Amiya Chowdhury, Acacio Rincon Romero, Grazziela Figueredo +1
High-Entropy/multicomponent rare-earth oxides (HECs and MCCs) show promise as alternative materials for thermal barrier coatings (TBC) with the ability to tailor properties based o…
Placental contractions in uncomplicated pregnancies
Louise Dewick, Amy L Turnbull, Kate F Walker +11
In 2020 we first described placental contractions, and we have now undertaken a study to characterise them and seek features that might automatically separate them from uterine con…
Helix 1.0: An Open-Source Framework for Reproducible and Interpretable Machine Learning on Tabular Scientific Data
Eduardo Aguilar-Bejarano, Daniel Lea, Karthikeyan Sivakumar +8
Helix is an open-source, extensible, Python-based software framework to facilitate reproducible and interpretable machine learning workflows for tabular data. It addresses the grow…
A Unified Framework for Semi-Supervised Image Segmentation and Registration
Ruizhe Li, Grazziela Figueredo, Dorothee Auer +3
Semi-supervised learning, which leverages both annotated and unannotated data, is an efficient approach for medical image segmentation, where obtaining annotations for the whole da…
Llettuce: An Open Source Natural Language Processing Tool for the Translation of Medical Terms into Uniform Clinical Encoding
James Mitchell-White, Reza Omdivar, Benjamin Partridge +12
This paper introduces Llettuce, an open-source tool designed to address the complexities of converting medical terms into OMOP standard concepts. Unlike existing solutions such as…
KemenkeuGPT: Leveraging a Large Language Model on Indonesia's Government Financial Data and Regulations to Enhance Decision Making
Gilang Fajar Febrian, Grazziela Figueredo
Data is crucial for evidence-based policymaking and enhancing public services, including those at the Ministry of Finance of the Republic of Indonesia. However, the complexity and…
MrRegNet: Multi-resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations
Ruizhe Li, Grazziela Figueredo, Dorothee Auer +2
Deformable image registration (alignment) is highly sought after in numerous clinical applications, such as computer aided diagnosis and disease progression analysis. Deep Convolut…
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
Xinyi Wang, Grazziela Figueredo, Ruizhe Li +3
Automatic radiology report generation can alleviate the workload for physicians and minimize regional disparities in medical resources, therefore becoming an important topic in the…