2 citations · 4 across the 3 of their papers we have counts for
3 papers
VICCA: Visual Interpretation and Comprehension of Chest X-ray Anomalies in Generated Report Without Human Feedback
Sayeh Gholipour Picha, Dawood Al Chanti, Alice Caplier
As artificial intelligence (AI) becomes increasingly central to healthcare, the demand for explainable and trustworthy models is paramount. Current report generation systems for ch…
Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based Metric
Sayeh Gholipour Picha, Dawood Al Chanti, Alice Caplier
Medical language processing and deep learning techniques have emerged as critical tools for improving healthcare, particularly in the analysis of medical imaging and medical text d…
How far generated data can impact Neural Networks performance?
Sayeh Gholipour Picha, Dawood AL Chanti, Alice Caplier
The success of deep learning models depends on the size and quality of the dataset to solve certain tasks. Here, we explore how far generated data can aid real data in improving th…