About Me

I am a Ph.D. Student in School of Mathematics (Computational Science and Engineering), Yonsei University and a member of Computational Methods in Medical Engineering (CMME) Lab. My research focuses on developing deep learning models for predicting aberration corrected phase and amplitude values in transcranial focused ultrasound in real time. I am interested in medical artificial intelligence, numerical simulation, and deep learning-based acoustic wave correction.

Research Interests

Publications

Journals

1. Deep Learning Based Real-Time Phase-Amplitude Correction for Phased Array Transducers in Transcranial Focused Ultrasound
   M Seol, M Seo, M Shin, SS Yoo, and K Yoon
   Journal of Computational Design and Engineering (JCDE), 2026, Accepted.
2. Optimization of Acoustic Lens Design for Transcranial Holographic Ultrasound using an Active Learning-Based Genetic Algorithm
   M Seo^*, H You^*, M Seol, SS Yoo, S Lee, and K Yoon (^*Equal Contribution)
   Journal of Computational Design and Engineering (JCDE), 2026, Accepted.
3. Deep Learning-Based Denoising of Monte Carlo Simulations for Efficient Laser-Tissue Interaction Modeling
   M Seo, S Cho, M Seol, H Ghafoor, and K Yoon
   Engineering Applications of Artificial Intelligence (EAAI), Under Review.
4. Reconfigurable Liquid-based Acoustic Lens for Depth Control of Focused Ultrasound
   CS Yoo, M Seol, K Yoon, and D Freeman
   Ultrasonography, Under Review.

Conferences

1. Few-shot Deep Learning for Phase-Amplitude Aberration Correction in Transcranial Focused Ultrasound
   M Seol, M Seo, S Cho, and K Yoon
   MICCAI workshop on Digital Twin for Healthcare (DT4H), Lecture Notes in Computer Science (LNCS), To appear. [arXiv]
2. tFUSOperator: High-Fidelity Transcranial Focused Ultrasound Digital Twin using Neural Operator-Based Network
   M Seo, H Ghafoor, M Seol, S Cho, and K Yoon
   MICCAI workshop on Digital Twin for Healthcare (DT4H), Lecture Notes in Computer Science (LNCS), To appear. [arXiv]
3. Automatic Patient-Specific Microwave Ablation Planning Using a Physics-Guided Deep Learning Model
   S Cho, M Seo, M Seol, J Park, JH Kwon, and K Yoon
   MICCAI workshop on Digital Twin for Healthcare (DT4H), Lecture Notes in Computer Science (LNCS), To appear. [arXiv]

News

• 2026.08. Gave a mentoring lecture, “Finding My Path in Mathematics,” for students at Daeyoung High School in Yeongju, Republic of Korea.
• 2026.07. Our paper "Few-shot Deep Learning for Phase-Amplitude Aberration Correction in Transcranial Focused Ultrasound" has been accepted to the DT4H Workshop at MICCAI 2026.
• 2026.05. Presented a poster at 2026 KSIAM (Korean Society of Industrial and Applied Mathematics) Spring Conference.
• 2026.04. Won the Award of Excellence (1st Prize) at 29th Yonsei CSE Poster Exhibition.
• 2025.12. Had an oral presentation at the 80th Anniversary Conference of KSME (Korean Society of Mechanical Engineers) 2025. [Proceeding]
• 2025.07. Gave a mentoring lecture, “Finding My Path in Mathematics,” for students at Daeyoung High School in Yeongju, Republic of Korea.
• 2025.05. Presented a poster at the 65th Conference of KOSOMBE (Korean Society of Medical & Biological Engineering) 2025.
• 2025.04. Presented a poster at 27th Yonsei CSE Poster Exhibition.

Education

Awards

• 2026.04. Award of Excellence (1st prize), 29th Yonsei CSE Poster Exhibition.

Experiences