4 papers · 1 filter
Multi-task Cross-modal Learning for Chest X-ray Image Retrieval
Zhaohui Liang, Sivaramakrishnan Rajaraman, Niccolo Marini +2
CLIP and BiomedCLIP are examples of vision-language foundation models and offer strong cross-modal embeddings; however, they are not optimized for fine-grained medical retrieval ta…
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang +3
Model initialization techniques are vital for improving the performance and reliability of deep learning models in medical computer vision applications. While much literature exist…
Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang +3
Deep learning (DL) has demonstrated its innate capacity to independently learn hierarchical features from complex and multi-dimensional data. A common understanding is that its per…
Improved Semantic Segmentation of Tuberculosis-consistent findings in Chest X-rays Using Augmented Training of Modality-specific U-Net Models with Weak Localizations
Sivaramakrishnan Rajaraman, Les Folio, Jane Dimperio +2
Deep learning (DL) has drawn tremendous attention in object localization and recognition for both natural and medical images. U-Net segmentation models have demonstrated superior p…