<aside> 👋 I'm an AI engineer/researcher based in Seoul, South Korea. My focus area for the past few years has been novel AI applications for medical imaging, including MRI, X-ray, and CT.

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Contact

📧 [email protected]

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🔖 Publications

(* As First or Corresponding Author)

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

Y Cho, T Kim, H Shin, S Cho, D Shin* Medical Imaging with Deep Learning (MIDL) 2024

Fast and accurate 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* arXiv preprint

Pulmonary abnormality screening on chest x-rays from different machine specifications: a generalized AI-based image manipulation pipeline

H Shin, T Kim, J Lee, S Chun, S Cho, D Shin* European Radiology Experimental 7(1):68

Coil2Coil: Self-supervised MR image denoising using phased-array coil images

J Park, D Park, HG Shin, EJ Choi, H An, M Kim, D Shin, SY Chun, J Lee arXiv preprint

Method to Minimize the Errors of AI: Quantifying and Exploiting Uncertainty of Deep Learning in Brain Tumor Segmentation

J Lee, D Shin, SH Oh, H Kim Sensors 22(6):2406

Deep reinforcement learning-designed radiofrequency waveform in MRI