5 papers
SMILE: A Structured Multi-Agent Clinical Reasoning for Liver Ultrasound Understanding
Haris Ghafoor, Minjee Seo, Seonaeng cho +3
Automated liver ultrasound report generation improves the diagnosis of liver diseases by producing clinically structured descriptions of anatomical and disease-related findings. Ho…
Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model
Seonaeng Cho, Minjee Seo, Minju Seol +3
Microwave ablation (MWA) is a promising minimally invasive treatment for liver tumors, but its therapeutic outcome strongly depends on patient-specific planning of antenna insertio…
tFUSOperator: Operator Learning for Transcranial Focused Ultrasound Digital Twins
Minjee Seo, Haris Ghafoor, Minju Seol +2
Transcranial focused ultrasound (tFUS) requires accurate estimation of the intracranial acoustic field, which is distorted by skull-induced aberrations. Numerical solvers are accur…
Few-shot Deep Learning for Phase-Amplitude Aberration Correction in Transcranial Focused Ultrasound
Minju Seol, Minjee Seo, Seonaeng Cho +1
Transcranial focused ultrasound (tFUS) is a non-invasive technique that delivers focused acoustic energy through the skull for neuromodulation and therapeutic applications. However…
PhysRFANet: Physics-Guided Neural Network for Real-Time Prediction of Thermal Effect During Radiofrequency Ablation Treatment
Minwoo Shin, Minjee Seo, Seonaeng Cho +4
Radiofrequency ablation (RFA) is a widely used minimally invasive technique for ablating solid tumors. Achieving precise personalized treatment necessitates feedback information on…