26 citations · 57 across the 14 of their papers we have counts for
7 papers · 1 filter
MILES: Modality-Informed Learning Rate Scheduler for Balancing Multimodal Learning
Alejandro Guerra-Manzanares, Farah E. Shamout
The aim of multimodal neural networks is to combine diverse data sources, referred to as modalities, to achieve enhanced performance compared to relying on a single modality. Howev…
BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity
Alejandro Guerra-Manzanares, Omar El-Herraoui, Michail Maniatakos +1
One of the key challenges of collaborative machine learning, without data sharing, is multimodal data heterogeneity in real-world settings. While Federated Learning (FL) enables mo…
MedPatch: Confidence-Guided Multi-Stage Fusion for Multimodal Clinical Data
Baraa Al Jorf, Farah Shamout
Clinical decision-making relies on the integration of information across various data modalities, such as clinical time-series, medical images and textual reports. Compared to othe…
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. Julián Lechuga López, Shaza Elsharief, Dhiyaa Al Jorf +3
Uncertainty Quantification (UQ) is pivotal in enhancing the robustness, reliability, and interpretability of Machine Learning (ML) systems for healthcare, optimizing resources and…
MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks
Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf +3
Large Language Models (LLMs) have demonstrated significant promise for various applications in healthcare. However, their efficacy in the Arabic medical domain remains unexplored d…
Multimodal Deep Learning for Stroke Prediction and Detection using Retinal Imaging and Clinical Data
Saeed Shurrab, Aadim Nepal, Terrence J. Lee-St. John +3
Stroke is a major public health problem, affecting millions worldwide. Deep learning has recently demonstrated promise for enhancing the diagnosis and risk prediction of stroke. Ho…
MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks
Alejandro Guerra-Manzanares, Farah E. Shamout
Multimodal fusion leverages information across modalities to learn better feature representations with the goal of improving performance in fusion-based tasks. However, multimodal…