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@Gist-Cactus @EC3102-Mobilex-Chunsik @tave-16th-medivision

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gyoenge/README.md

Huigyoeng Son

Currently a GIST Undergraduate Student (2022–Present)

I focus on AI and Computer Vision,
particularly on extracting meaningful insights from medical image data.

As an undergraduate researcher at the GIST AI-MED Lab,
I am working on the task of spatially predicting gene expression from pathology images.

I enjoy deeply exploring problems and understanding them at a fundamental level.

Research Interests

Computer Vision · Medical AI · Multimodal Learning · Representation Learning · Explainable AI

Tech Stack

Category Stack
AI / ML
CV / Data
Others

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  1. RaPaCL-ST RaPaCL-ST Public

    [Updating] RadiomicsFeature-Pathomics Contrastive Learning for Spatial Transcriptomics prediction

    Python

  2. aimed-codestudy aimed-codestudy Public

    code studies during aimed lab undergraduate internship

    Python

  3. hest-radiomics hest-radiomics Public

    extracting radiomics based features (intenstiy, texture, cell-shape, cell-type) from HEST pathology patch dataset using pyradiomics.

    Python

  4. 3DMedSAM-FDA 3DMedSAM-FDA Public

    Forked from tave-16th-medivision/3DMedSAM-FDA

    3D SAM with FDA(Frequency-based Dual-path Adapter) for Prompt-based Volumetric Medical Image Segmentation

    Jupyter Notebook

  5. robust-photometric-stereo robust-photometric-stereo Public

    Coding Assignement 1 of GIST Computer Vision course (EC4216). Robust Photometric Stereo with RPCA and photometric factor weighting for accurate surface normal estimation and relighting.

    Python 1

  6. structure-from-motion structure-from-motion Public

    Coding Assignement 2 of GIST Computer Vision course (EC4216). Implementation of Structure-from-Motion with two-view and multi-view reconstruction using feature matching, triangulation, and bundle a…

    Python