Research Interests

· Deep learning

- Main: Analyze and understand how to embedded features map into latent spaces more efficiently.

- Theory: Optimal transport in ML. (Contrastive and Non-contrastive learning,)

- Application: Vision domain, Multimodal (Vision-language) understanding and generation, Medical domain application

· Healthcare

- Medical Image (X-ray, CT, MRI etc.) processing, analysis, retrieval and classification

- Medical Image and clinical notes understanding and generation.

Research Experiences

· Research Student.

AI Medical Center, Samsung Medical Center (SMC) Mar. 2018 ~ Aug. 2020

<Published on CMPB 2020 as first author>

- Supervisor: Prof. Baek Hwan Cho and Prof. Jin Ho Choi

- Participation in automatic stenosis recognition from coronary angiography using convolutionla neural networks with attention mechanisms

<Published on BMC Ophthalmology 2020 as second author>

- Supervisor: Prof. Baek Hwan Cho and Prof. Kyung Ah Park

- Participation in Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography project

· Research Intern & Assistant.

Kakao Brain, Medical AI Research Intern, Pangyo, South Korea Sep. 2022 ~ Mar. 2023

-Team: AI CAD

- Vision-Language multi-modal Large-scale AI CAD project.

AI Medical Center, Samsung Medical Center (SMC) , Seoul, South Korea Jun. 2017 ~ Dec. 2017

- Image segmentation for Bone metastasis using abdominal CT

- Lesion 3D annotation using ITK-snap program

Senda Athletics (Start-up), Berkeley, CA, USA Dec. 2017 ~ Feb. 2018

- Development of automated cost-effective solution platform (programming)

- Report of US start-up ecosystem analysis

Bio-signal processing Lab. , Seoul, South Korea Mar. 2017 ~ Jun. 2017

- Application of color therapy using pulse measurement to relieve stress <Patent>

- Arduino and MATLAB coding for pulse analysis

- Production and design of Electromyography for rehabilitation game program

- Production of practical wrist rehabilitation device <Patent preparation>

Publications

- J.H. Moon, W.J. Kim. and Edward Choi, “Correlation between Alignment-and-Uniformity and Performance of Dense Contrastive Representations”, BMVC 2022, First author

- J.H. Moon^‡, H. Lee^‡, W. Shin, Y.H. Kim. and Edward Choi, “Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training”, IEEE JBHI 2022, First author

- J.H. Moon, D.Y. Lee, W.C. Cha, M.J. Chung, K.S. Lee, J.H. Choi*, and B.H. Cho*, “Automatic stenosis recognition from coronary angiography using convolutional neural networks”, computer methods programs in biomedicine, 2021 First author

- B.H. Cho^‡, D.Y. Lee^‡, K.A. Park*, S.Y. Oh*, J.H. Moon, G.I. Lee, H. Noh, J.K. Chung, M.C. Kang and M. J. Chung, “Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography”, BMC Ophthalmology 2020, Co-author

Conferences

- J.H. Moon “RNN and Hands-on RNN: ICU Mortality Prediction”, KoSAIM 2022 Summer School, Seoul, Korea (2022).

- J.H. Moon et al., “The Automated Classification and Localisation of Stenosis using Coronary Angiograms”, The Korean Society of Cardiology 2019, Seoul, Korea (2019) – English oral.

- J.H. Moon et al., “Automated classification of coronary angiograms using deep Convolutional Neural Networks”, IEEE Engineering in Medicine & Biology Society (EMBC 2019), Berlin, Germany (2019) – One paper.

- J.H. Moon et al., “Comparative Analysis of Bone Metastasis Segmentation Using Fully Convolutional Network Algorithms on Abdominal Computed Tomography”, The Korean Society of Medical Informatics, 2018, Jeonju, Korea (2018) – One paper.

Patent

1. J. H. Jeon, K.R. Kim, J. S. Kim, H.B. Oh, J.W. Seo, H.J. Lee, J.H. Moon “Lighting Controlling Method And Apparatus Thereof” / Korea - Application No.10-2018-*******

·

Skills

· Language: Korean (Native), English (Fluent), Japanese (Fluent)

· OS Systems: Linux, Apple OXS, MS Windows

· Coding: Python

· Machine Learning: TensorFlow, Keras, Pytorch (strong), Pandas (strong)

Extracurricular Activities

· [Award] First Prize , Korean Society of Artificial Intelligence in Medicine, Korea Oct. 13. 2022

- Scientific Session (contributed talks) First Prize

· [Teaching] Mortality prediction Hands-on Session , KoSAIM2022 summer school, Korea Aug. 13. 2022

- Link for Slide and Code

· I.A.I. (Co-founder) at Samsung Advanced Institute of Health Sciences & Technology Mar. 2018 ~ Present

- Took part in multiple deep learning competitions using medical images.

- Paper review on state-of-the-art deep learning methodology

· 'EXPLORE New York' programme, NY, USA Feb. 2017 ~ Mar. 2017

- Columbia University Medical Center (workshops: Regenerative Medicine Lab.)

- Harlem Hospital Center (workshops: Radiology Lab.)

- NYU Langone Medical Center (workshops: Cardiac Lab.)