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View article: From Motion to Meaning: Biomechanics-Informed Neural Network for Explainable Cardiovascular Disease Identification
From Motion to Meaning: Biomechanics-Informed Neural Network for Explainable Cardiovascular Disease Identification Open
Cardiac diseases are among the leading causes of morbidity and mortality worldwide, which requires accurate and timely diagnostic strategies. In this study, we introduce an innovative approach that combines deep learning image registration…
View article: An epidemiological knowledge graph extracted from the World Health Organization’s Disease Outbreak News
An epidemiological knowledge graph extracted from the World Health Organization’s Disease Outbreak News Open
The rapid evolution of artificial intelligence (AI), together with the increased availability of social media and news for epidemiological surveillance, is marking a pivotal moment in epidemiology and public health research. By harnessing …
View article: Retrieval Augmented Generation Evaluation for Health Documents
Retrieval Augmented Generation Evaluation for Health Documents Open
Safe and trustworthy use of Large Language Models (LLM) in the processing of healthcare documents and scientific papers could substantially help clinicians, scientists and policymakers in overcoming information overload and focusing on the…
View article: Strengths and Limitations of Word-Based Task Explainability in Vision Language Models: a Case Study on Biological Sex Biases in the Medical Domain
Strengths and Limitations of Word-Based Task Explainability in Vision Language Models: a Case Study on Biological Sex Biases in the Medical Domain Open
View article: Conformal Risk Control for Pulmonary Nodule Detection
Conformal Risk Control for Pulmonary Nodule Detection Open
Quantitative tools are increasingly appealing for decision support in healthcare, driven by the growing capabilities of advanced AI systems. However, understanding the predictive uncertainties surrounding a tool's output is crucial for dec…
View article: Deep cascaded registration and weakly-supervised segmentation of fetal brain MRI
Deep cascaded registration and weakly-supervised segmentation of fetal brain MRI Open
Deformable image registration is a cornerstone of many medical image analysis applications, particularly in the context of fetal brain magnetic resonance imaging (MRI), where precise registration is essential for studying the rapidly evolv…
View article: ML-based predictive gut microbiome analysis for health assessment
ML-based predictive gut microbiome analysis for health assessment Open
Personalised medicine is a rapidly evolving field to which many resources have been devoted recently. It represents a paradigm shift from a one-size-fits-all approach to healthcare, focusing instead on tailoring treatments and diagnoses to…
View article: Deep Cascaded Registration and Weakly-Supervised Segmentation of Fetal Brain MRI
Deep Cascaded Registration and Weakly-Supervised Segmentation of Fetal Brain MRI Open
View article: Epidemic Information Extraction for Event-Based Surveillance Using Large Language Models
Epidemic Information Extraction for Event-Based Surveillance Using Large Language Models Open
This paper presents a novel approach to epidemic surveillance, leveraging the power of artificial intelligence and large language models (LLMs) for effective interpretation of unstructured big data sources like the popular ProMED and WHO D…
View article: TableS1 of ML-based predictive gut microbiome analysis for health assessment
TableS1 of ML-based predictive gut microbiome analysis for health assessment Open
Complete list of species associated with the COVID and Control cohort (ANOVA F score > 1). Comparison with respect to the original set of species used by Gupta et al., and ANOVA-F values are reported.
View article: TableS1 of ML-based predictive gut microbiome analysis for health assessment
TableS1 of ML-based predictive gut microbiome analysis for health assessment Open
Complete list of species associated with the COVID and Control cohort (ANOVA F score > 1). Comparison with respect to the original set of species used by Gupta et al., and ANOVA-F values are reported.
View article: Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded Registration
Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded Registration Open
Accurate segmentation of fetal brain magnetic resonance images is crucial for analyzing fetal brain development and detecting potential neurodevelopmental abnormalities. Traditional deep learning-based automatic segmentation, although effe…
View article: Validity of prognostic models of critical COVID-19 is variable. A systematic review with external validation
Validity of prognostic models of critical COVID-19 is variable. A systematic review with external validation Open
View article: Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions
Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions Open
Advanced visual computing solutions and three-dimensional (3D) printing are moving from engineering to clinical pipelines for training, planning, and guidance of complex interventions. 3D imaging and rendering, virtual reality (VR), and in…
View article: Prediction of Lung Nodule Progression with an Uncertainty-Aware Hierarchical Probabilistic Network
Prediction of Lung Nodule Progression with an Uncertainty-Aware Hierarchical Probabilistic Network Open
Predicting whether a lung nodule will grow, remain stable or regress over time, especially early in its follow-up, would help doctors prescribe personalized treatments and better surgical planning. However, the multifactorial nature of lun…
View article: Domain expert evaluation of advanced visual computing solutions for the planning of left atrial appendage occluder interventions
Domain expert evaluation of advanced visual computing solutions for the planning of left atrial appendage occluder interventions Open
Advanced visual computing solutions and 3D printing are starting to move from the engineering and development stage to being integrated into clinical pipelines for training, planning and guidance of complex interventions. Commonly, clinici…
View article: An Uncertainty-Aware Hierarchical Probabilistic Network for Future Pulmonary Tumour Growth Prediction
An Uncertainty-Aware Hierarchical Probabilistic Network for Future Pulmonary Tumour Growth Prediction Open
View article: Semi-Supervised Placental Vessel Segmentation from Fetoscopy Videos
Semi-Supervised Placental Vessel Segmentation from Fetoscopy Videos Open
View article: An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth
An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth Open
Early detection and quantification of tumour growth would help clinicians to prescribe more accurate treatments and provide better surgical planning. However, the multifactorial and heterogeneous nature of lung tumour progression hampers i…
View article: An Uncertainty-aware Hierarchical Probabilistic Network for Early\n Prediction, Quantification and Segmentation of Pulmonary Tumour Growth
An Uncertainty-aware Hierarchical Probabilistic Network for Early\n Prediction, Quantification and Segmentation of Pulmonary Tumour Growth Open
Early detection and quantification of tumour growth would help clinicians to\nprescribe more accurate treatments and provide better surgical planning.\nHowever, the multifactorial and heterogeneous nature of lung tumour progression\nhamper…
View article: Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans
Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans Open
We address the problem of supporting radiologists in the longitudinal management of lung cancer. Therefore, we proposed a deep learning pipeline, composed of four stages that completely automatized from the detection of nodules to the clas…
View article: Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks
Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks Open
View article: VP22.02: MR‐based patient‐specific planning platform for Twin–twin transfusion syndrome surgery
VP22.02: MR‐based patient‐specific planning platform for Twin–twin transfusion syndrome surgery Open
To evaluate the accuracy and usability of a MR-based patient-specific planning platform for Twin–twin transfusion syndrome (TTTS) surgery. Experimental study including 8 cases of TTTS that were treated in our centre. After standard ultraso…
View article: EView: An electric field visualization web platform for electroporation-based therapies
EView: An electric field visualization web platform for electroporation-based therapies Open
View article: Pulmonary Nodule Malignancy Classification Using its Temporal Evolution with Two-Stream 3D Convolutional Neural Networks
Pulmonary Nodule Malignancy Classification Using its Temporal Evolution with Two-Stream 3D Convolutional Neural Networks Open
Nodule malignancy assessment is a complex, time-consuming and error-prone task. Current clinical practice requires measuring changes in size and density of the nodule at different time-points. State of the art solutions rely on 3D convolut…
View article: Re-Identification and Growth Detection of Pulmonary Nodules without\n Image Registration Using 3D Siamese Neural Networks
Re-Identification and Growth Detection of Pulmonary Nodules without\n Image Registration Using 3D Siamese Neural Networks Open
Lung cancer follow-up is a complex, error prone, and time consuming task for\nclinical radiologists. Several lung CT scan images taken at different time\npoints of a given patient need to be individually inspected, looking for\npossible ca…
View article: Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline
Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline Open
View article: Computational Evaluation of Cochlear Implant Surgery Outcomes Accounting for Uncertainty and Parameter Variability
Computational Evaluation of Cochlear Implant Surgery Outcomes Accounting for Uncertainty and Parameter Variability Open
Cochlear implantation (CI) is a complex surgical procedure that restores hearing in patients with severe deafness. The successful outcome of the implanted device relies on a group of factors, some of them unpredictable or difficult to cont…
View article: Coupled Immunological and Biomechanical Model of Emphysema Progression
Coupled Immunological and Biomechanical Model of Emphysema Progression Open
Chronic Obstructive Pulmonary Disease (COPD) is a disabling respiratory pathology, with a high prevalence and a significant economic and social cost. It is characterized by different clinical phenotypes with different risk profiles. Detect…
View article: Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks Open