18 citations · 28 across the 5 of their papers we have counts for
5 papers
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends
Duy M. H. Nguyen, Hasan Md Tusfiqur Alam, Tai Nguyen +4
The emergence of artificial intelligence (AI), particularly deep learning (DL), has marked a new era in the realm of ophthalmology, offering transformative potential for the diagno…
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading
Hasan Md Tusfiqur, Duy M. H. Nguyen, Mai T. N. Truong +8
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world, and early DR detection is necessary to prevent vision loss and support an appropriate treatment. In this w…
A Case Study on Pros and Cons of Regular Expression Detection and Dependency Parsing for Negation Extraction from German Medical Documents. Technical Report
Hans-Jürgen Profitlich, Daniel Sonntag
We describe our work on information extraction in medical documents written in German, especially detecting negations using an architecture based on the UIMA pipeline. Based on our…
Interactivity and Transparency in Medical Risk Assessment with Supersparse Linear Integer Models
Hans-Jürgen Profitlich, Daniel Sonntag
Scoring systems are linear classification models that only require users to add or subtract a few small numbers in order to make a prediction. They are used for example by clinicia…
An architecture of open-source tools to combine textual information extraction, faceted search and information visualisation
Daniel Sonntag, Hans-Jürgen Profitlich
This article presents our steps to integrate complex and partly unstructured medical data into a clinical research database with subsequent decision support. Our main application i…