67 citations · 100 across the 15 of their papers we have counts for
15 papers
Explainable Diabetic Retinopathy Classification Using Vision Foundation Models
Abhishek Verma, Anila Krishna, Abhishek Gajanan Bankar +1
Diabetic retinopathy (DR) is a major cause of preventable blindness, creating a need for accurate and trustworthy automated screening. This study investigates an explainable DR cla…
Towards actionable hypotension prediction -- predicting catecholamine therapy initiation in the intensive care unit
Richard Koebe, Noah Saibel, Juan Miguel Lopez Alcaraz +2
Hypotension in critically ill ICU patients is common and life-threatening. Escalation to catecholamine therapy marks a key management step, with both undertreatment and overtreatme…
Predicting Chest Radiograph Findings from Electrocardiograms Using Interpretable Machine Learning
Julia Matejas, Olaf Żurawski, Nils Strodthoff +1
Purpose: Chest X-rays are essential for diagnosing pulmonary conditions, but limited access in resource-constrained settings can delay timely diagnosis. Electrocardiograms (ECGs),…
Benchmarking ECG FMs: A Reality Check Across Clinical Tasks
M A Al-Masud, Juan Miguel Lopez Alcaraz, Nils Strodthoff
The 12-lead electrocardiogram (ECG) is a long-standing diagnostic tool. Yet machine learning for ECG interpretation remains fragmented, often limited to narrow tasks or datasets. F…
Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff
Background: Neoplasms are a major cause of mortality globally, where early diagnosis is essential for improving outcomes. Current diagnostic methods are often invasive, expensive,…
Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach
Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff
Background: Liver diseases present a significant global health challenge and often require costly, invasive diagnostics. Electrocardiography (ECG), a widely available and non-invas…