26 citations · 46 across the 7 of their papers we have counts for
7 papers
MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction
Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini +4
With the emergence of multimodal electronic health records, the evidence for an outcome may be captured across multiple modalities ranging from clinical to imaging and genomic data…
Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis
Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini +4
In a complex disease such as tuberculosis, the evidence for the disease and its evolution may be present in multiple modalities such as clinical, genomic, or imaging data. Effectiv…
Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics
Ben Schaper, Christopher Lohse, Marcell Streile +2
Despite extensive recent advances in summary generation models, evaluation of auto-generated summaries still widely relies on single-score systems insufficient for transparent asse…
On the explainability of hospitalization prediction on a large COVID-19 patient dataset
Ivan Girardi, Panagiotis Vagenas, Dario Arcos-Díaz +8
We develop various AI models to predict hospitalization on a large (over 110) cohort of COVID-19 positive-tested US patients, sourced from March 2020 to February 2021. Models ra…
Chest ImaGenome Dataset for Clinical Reasoning
Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou +9
Despite the progress in automatic detection of radiologic findings from chest X-ray (CXR) images in recent years, a quantitative evaluation of the explainability of these models is…
Generative Feature-driven Image Replay for Continual Learning
Kevin Thandiackal, Tiziano Portenier, Andrea Giovannini +2
Neural networks are prone to catastrophic forgetting when trained incrementally on different tasks. Popular incremental learning methods mitigate such forgetting by retaining a sub…
Artificial Intelligence Decision Support for Medical Triage
Chiara Marchiori, Douglas Dykeman, Ivan Girardi +6
Applying state-of-the-art machine learning and natural language processing on approximately one million of teleconsultation records, we developed a triage system, now certified and…