From the 1 of 4 linked papers with an AI index.
4 papers
Multimodal Semantic-Aware Contrastive Learning For False Negative Mitigation in 3D Medical Imaging
Sara Ketabi, Matthias W. Wagner, Cynthia Hawkins +3
The paper proposes a multimodal semantic-aware contrastive learning framework that uses semantic similarity from radiology reports to reduce false negatives when training on 3D bra…
Exploring Radiologists' Expectations of Explainable Machine Learning Models in Medical Image Analysis
Sara Ketabi, Matthias W. Wagner, Birgit Betina Ertl-Wagner +2
In spite of the strong performance of machine learning (ML) models in radiology, they have not been widely accepted by radiologists, limiting clinical integration. A key reason is…
Open-radiomics: A Collection of Standardized Datasets and a Technical Protocol for Reproducible Radiomics Machine Learning Pipelines
Khashayar Namdar, Matthias W. Wagner, Birgit B. Ertl-Wagner +1
Background: As an important branch of machine learning pipelines in medical imaging, radiomics faces two major challenges namely reproducibility and accessibility. In this work, we…
Tumor Location-weighted MRI-Report Contrastive Learning: A Framework for Improving the Explainability of Pediatric Brain Tumor Diagnosis
Sara Ketabi, Matthias W. Wagner, Cynthia Hawkins +3
Despite the promising performance of convolutional neural networks (CNNs) in brain tumor diagnosis from magnetic resonance imaging (MRI), their integration into the clinical workfl…