<aside> 👋 I'm an AI engineer/researcher based in Seoul, South Korea.

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Contact

📧 [email protected]

🤖 Google Scholar

🔖 Publications

(* As First or Correponding Author)

G2L: From Giga-Scale to Cancer-Specific Large-Scale Pathology Foundation Models via Knowledge Distillation

Y Cho, S Lee, G Lee, M Lee, J Park, D Shin* arXiv preprint

Efficient Cell Painting Image Representation Learning via Cross-Well Aligned Masked Siamese Network

P Huang, Y Liao, S Kim, N Park, J Park, D Shin* arXiv preprint

[AI-based measurement of cardiothoracic ratio in chest X-rays and prediction

of echocardiographic congestive heart failure](https://www.sciencedirect.com/science/article/pii/S2352906725000818)

J Ra, H Shin, C Park, YX Wang, D Shin* International Journal of Cardiology Heart & Vasculature, Volum 58, June 2025, 101678

Sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization

H Shin, T Kim, J Lee, S Chun, S Cho, D Shin* Computers in Biology and Medicine, Volume 189, May 2025, 109900

Artificial intelligence software for detecting unsuspected lung cancer on chest radiographs in an asymptomatic population

T Kim, H Shin, YS Song, JH Lee, H Kim, D Shin* Radiology Advances 2(1):32

Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model

T Kim, Y Cho, H Shin, Y Jo, D Shin* European Conference on Artificial Intelligence (ECAI) 2024

Multi-View Attention Network to Improve Breast Cancer Detection

W Tai, P Huang, D Shin* Medical Imaging with Deep Learning (MIDL) 2024 (Short Paper)

Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays