activity
20222025
most citedDengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025★ 1 cited

EchoQA: A Large Collection of Instruction Tuning Data for Echocardiogram Reports

Lama Moukheiber, Mira Moukheiber, Dana Moukheiiber +2

We introduce a novel question-answering (QA) dataset using echocardiogram reports sourced from the Medical Information Mart for Intensive Care database. This dataset is specificall…

cs.CY2025

Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health

Mira Moukheiber, Lama Moukheiber, Dana Moukheiber +1

In critical care settings, where precise and timely interventions are crucial for health outcomes, evaluating disparities in patient outcomes is essential. Current approaches often…

cs.LG2024

Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities

Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber +2

There has been significant progress in implementing deep learning models in disease diagnosis using chest X- rays. Despite these advancements, inherent biases in these models can l…

cs.CV2024★ 3 cited

DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries

Kuan-Ting Kuo, Dana Moukheiber, Sebastian Cajas Ordonez +9

Dengue fever presents a substantial challenge in developing countries where sanitation infrastructure is inadequate. The absence of comprehensive healthcare systems exacerbates the…

cs.CV2022

Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies

Ryan Wang, Li-Ching Chen, Lama Moukheiber +11

Chronic obstructive pulmonary disease (COPD) is one of the most common chronic illnesses in the world and the third leading cause of mortality worldwide. It is often underdiagnosed…