19 citations · 21 across the 4 of their papers we have counts for
4 papers
Taxlifier: Leveraging Disease Taxonomy for Enhanced Multi-Label Classification in Chest Radiography
Mohammad S. Majdi, Jeffrey J. Rodriguez
Accurate and efficient classification of thoracic diseases in chest X-ray (CXR) images is crucial for timely diagnosis and treatment. However, the presence of multiple pathologies…
Crowd-Certain: Label Aggregation in Crowdsourced and Ensemble Learning Classification
Mohammad S. Majdi, Jeffrey J. Rodriguez
Crowdsourcing systems have been used to accumulate massive amounts of labeled data for applications such as computer vision and natural language processing. However, because crowds…
Laplacian Mixture Model Point Based Registration
Mohammad Sadegh Majdi, Emad Fatemizadeh
Point base registration is an important part in many machine VISIOn applications, medical diagnostics, agricultural studies etc. The goal of point set registration is to find corre…
Deep learning classification of chest x-ray images
Mohammad S. Majdi, Khalil N. Salman, Michael F. Morris +2
We propose a deep learning based method for classification of commonly occurring pathologies in chest X-ray images. The vast number of publicly available chest X-ray images provide…