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Found 8 papers, 3 papers with code
An Evaluation of GPT-4V and Gemini in Online VQA
While there is much excitement about the potential of large multimodal models (LMM), a comprehensive evaluation is critical to establish their true capabilities and limitations.
Fully Authentic Visual Question Answering Dataset from Online Communities
Visual Question Answering (VQA) entails answering questions about images.
VQA Therapy: Exploring Answer Differences by Visually Grounding Answers
Visual question answering is a task of predicting the answer to a question about an image.
Grounding Answers for Visual Questions Asked by Visually Impaired People
Visual question answering is the task of answering questions about images.
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop
The key knob of our framework is a unique positive sampling approach tailored for the medical images, by seamlessly integrating radiomic features as a knowledge augmentation.
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning
Traditionally, radiomics, as a subfield of radiology that can extract a large number of quantitative features from medical images, demonstrates its potential to facilitate medical imaging diagnosis before the deep learning era.
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays
After a number of iterations and with the help of radiomic features, our framework can converge to more accurate image regions.
Coronavirus Knowledge Graph: A Case Study
The emergence of the novel COVID-19 pandemic has had a significant impact on global healthcare and the economy over the past few months.
