3 papers
cs.CL2026
Integrating Heterogeneous Echocardiography AI Outputs in Language Space: Learnable Late Fusion with a Supervised LLM
Ryo Takizawa, Tempei Kabayama, Chiemi Yamazaki +5
View- and target-specific echocardiography AI models capture useful but complementary information and may not achieve sufficient predictive performance in isolation. A learned ense…
cs.CV2025
CAG-VLM: Fine-Tuning of a Large-Scale Model to Recognize Angiographic Images for Next-Generation Diagnostic Systems
Yuto Nakamura, Satoshi Kodera, Haruki Settai +7
Coronary angiography (CAG) is the gold-standard imaging modality for evaluating coronary artery disease, but its interpretation and subsequent treatment planning rely heavily on ex…
cs.CV2025
Video CLIP Model for Multi-View Echocardiography Interpretation
Ryo Takizawa, Satoshi Kodera, Tempei Kabayama +5
Echocardiography records ultrasound videos of the heart, enabling clinicians to assess cardiac function. Recent advances in large-scale vision-language models (VLMs) have spurred i…