48 citations · 99 across the 16 of their papers we have counts for
7 papers · 1 filter
Validation of Conformal Prediction in Cervical Atypia Classification
Misgina Tsighe Hagos, Antti Suutala, Dmitrii Bychkov +6
Deep learning based cervical cancer classification can potentially increase access to screening in low-resource regions. However, deep learning models are often overconfident and d…
Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach
Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor +1
Knee Osteoarthritis (OA) is a debilitating disease affecting over 250 million people worldwide. Currently, radiologists grade the severity of OA on an ordinal scale from zero to fo…
Unlearning Spurious Correlations in Chest X-ray Classification
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Medical image classification models are frequently trained using training datasets derived from multiple data sources. While leveraging multiple data sources is crucial for achievi…
Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images
Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen +2
Alzheimer's Disease (AD) is a progressive disease preceded by Mild Cognitive Impairment (MCI). Early detection of AD is crucial for making treatment decisions. However, most of the…
Diagnosis of Diabetic Retinopathy in Ethiopia: Before the Deep Learning based Automation
Misgina Tsighe Hagos
Introducing automated Diabetic Retinopathy (DR) diagnosis into Ethiopia is still a challenging task, despite recent reports that present trained Deep Learning (DL) based DR classif…
Automated Smartphone based System for Diagnosis of Diabetic Retinopathy
Misgina Tsighe Hagos, Shri Kant, Surayya Ado Bala
Early diagnosis of diabetic retinopathy for treatment of the disease has been failing to reach diabetic people living in rural areas. Shortage of trained ophthalmologists, limited…
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach
Misgina Tsighe Hagos
Although deep learning research and applications have grown rapidly over the past decade, it has shown limitation in healthcare applications and its reachability to people in remot…