6 papers
AlphaRAD: Grounded Zero-Shot Classification in Chest Radiology via -Corrected Binary Cross Entropy and Factorized Latent Supervision
Jianzhong You, Yuan Gao, Chris McIntosh
Vision-Language Pretrained Models (VLPMs) offer a scalable path to open-vocabulary chest radiology understanding, yet two aspects remain underexplored: how structured clinical sema…
EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks
Yuan Gao, Sangwook Kim, Chris McIntosh
Electrocardiogram (ECG) is a widely used tool for assessing cardiac function due to its low cost and accessibility. Emergent research shows that ECGs can help make predictions on k…
ProbMed: A Probabilistic Framework for Medical Multimodal Binding
Yuan Gao, Sangwook Kim, Jianzhong You +1
Medical decision-making requires integrating diverse medical information, from imaging to clinical narratives. These medical modalities are often acquired in a many-to-many manner.…
X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning
Jianzhong You, Yuan Gao, Sangwook Kim +1
Computed tomography (CT) is a key imaging modality for diagnosis, yet its clinical utility is marred by high radiation exposure and long turnaround times, restricting its use for l…
Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy
Sangwook Kim, Aly Khalifa, Thomas G. Purdie +1
Deep learning-based automated contouring and treatment planning has been proven to improve the efficiency and accuracy of radiotherapy. However, conventional radiotherapy treatment…
MEDBind: Unifying Language and Multimodal Medical Data Embeddings
Yuan Gao, Sangwook Kim, David E Austin +1
Medical vision-language pretraining models (VLPM) have achieved remarkable progress in fusing chest X-rays (CXR) with clinical texts, introducing image-text data binding approaches…