5 papers
GlucoFM-Bench: Benchmarking Time-Series Foundation Models for Blood Glucose Forecasting
Baiying Lu, Zhaohui Liang, Ryan Pontius +2
Blood glucose forecasting models are foundational for modern diabetes management systems, as reliable short-term predictions can enable proactive interventions, support automated i…
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…
Evaluating Strategies for Synthesizing Clinical Notes for Medical Multimodal AI
Niccolo Marini, Zhaohui Liang, Sivaramakrishnan Rajaraman +2
Multimodal (MM) learning is emerging as a promising paradigm in biomedical artificial intelligence (AI) applications, integrating complementary modality, which highlight different…
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…