6 papers
SUIT: Knowledge Editing with Subspace-Aware Key-Value Mappings
Haewon Park, Sangwoo Kim, Yohan Jo
Knowledge editing aims to efficiently correct factual errors in language models. Widely used locate-then-edit methods update an MLP layer by adjusting its weights to change the map…
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.…
ChatEXAONEPath: An Expert-level Multimodal Large Language Model for Histopathology Using Whole Slide Images
Sangwook Kim, Soonyoung Lee, Jongseong Jang
Recent studies have made significant progress in developing large language models (LLMs) in the medical domain, which can answer expert-level questions and demonstrate the potentia…
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…