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  • Korea University, Brain Lab.
  • Seoul

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Junsu0213/README.md

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About Me

  • M.S. in Brain & Cognitive Engineering, Korea University, (2022-2024)
  • B.S. in Biomedical Engineering (BME), Yonsei University, (2016-2022)

Research Interests

  • Disease detection, classification, and segmentation using medical imaging data such as X-ray, CT, and MRI
  • Multimodal, trustworthy, and continual artificial intelligence for clinical decision support
  • Enhancing interpretability and reliability in diagnosis through Explainable AI (XAI)

Project Experiences

  • (2022-2024) AR-based SSVEP real-time prediction for integrated wheelchair-robotic arm control
  • (2023) Classification of MDD and normal individuals based on EEG features
  • (2023) Pipeline for comparing EEG differences before and after VNS
  • (2022) EEG functional connectivity-based biomarker for diagnosing depression and normal individuals

Papers

  • Jun-Su Park, Donghyeok Jo, Seho Lee, Young-Tak Kim, Jung Bin Kim & Dong-Joo Kim. "Novel Biomarker Based on Hemispheric Differences in Brain Connectivity for Diagnosis of Depression." 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia). IEEE, 2022.
  • Hayom Kim, In-Nea Wang, Jun-Su Park, Keun-Tae Kim, Jooheon Kong, Jung Bin Kim & Dong-Joo Kim. "Inherent seizure susceptibility in patients with antihistamine-induced acute symptomatic seizure: a resting-state EEG analysis." Scientific Reports 13.1 (2023): 9146.

Pinned Loading

  1. BrainLab_RealTimeSSVEP BrainLab_RealTimeSSVEP Public

    Python

  2. Depression_Classification Depression_Classification Public

    Python 1

  3. CXR-XAI CXR-XAI Public

    Deep learning model for classifying COVID-19 radiography images using VGG19 with CBAM and visualizing predictions with Grad-CAM. Includes K-fold cross-validation and experiment tracking with Weight…

    Python

  4. TotalSegmentator_BMC TotalSegmentator_BMC Public

    Generation of liver, pancreas, and spleen masking files from CT data using the TotalSegmentator library.

    Python

  5. Breast-MRI-Preprocessing Breast-MRI-Preprocessing Public

    A preprocessing pipeline for breast MRI data that converts DICOM to NIfTI format and performs image coregistration. Designed to prepare multiple MRI sequences (T1WI, T2WI, DWI, ADC) for AI model an…

    Python