leejunho0421,github

My name is Junho Lee :)

Undergraduate: Department of Computer Engineering, Yonsei University, Republic of Korea. 2019.3. ~ Present

Intern, Applied Data Science lab (Yonsei Univ.) 2020.6. ~ 2021.3.
- Analyzed and implemented papers about Olayan, Peska, PyDTI benchmarked the performance of each ML model
- Defined custom AUC, AUPR metric for more accurate evaluation
- Refined papers by pointing out the experimental error about dataset configuration
Intern, Database lab (Yonsei Univ.) 2021.1. ~ 2021.3.
- Developed real-time hospital data visualization program via socket programming
- Built real-time vehicle tracking program for autonomous driving using Google map API
Intern, Clinical pharmacology lab (Yonsei Univ.) 2021.2. ~ 2021.4.
- Enhanced genealogy cell position visualization program by calculating weighted distance instead of single distance
Co-Organizer, Center for Clinical Imaging Data Science (Yonsei Univ.) 2021.9. ~ Present
- Analyzed Parathyroid carcinoma vs adenoma radiomics
- Predict Nonfunctioning pituitary adenoma (DR, SSTR2, SSTR5)
- Analyzed difference in fractal dimension, lacunarity according to hTERT mutation in Meningioma
Intern, Medical Artificial Intelligence Laboratory (Yonsei Univ.) 2022.1. ~ Present

YAI (Yonsei Artificial Intelligence Conference) 2021.7. ~ Present
Under the direction of Professor YongRae Cho 2021.5. ~ 2021.6.
- Research topic: Foundation of Deep Learning with MRCNN, DCGAN
- The purpose of this study was segmentation of 3D tooth model using MRCNN
Research meeting Under the direction of Professor SungSoo Ahn (Sirano) 2021.9. ~ Present
- Research topic: nnU-Net : a self-configuring method for deep learning based biomedical image segmentation

Molecular Classification of Cancer by Gene Expression Monitoring 2020.1. ~ 2020.4.
- Preprocessed the noisy molecular data with PCA reconstruction
- Compared the noisy molecular data provided by the Kaggle using various ML model
AI Competition to Predict Solar Power Generation 2020.12.
- Analyzed by using statistical method of the correlation between solar power generation and weather
Autonomous Project 2021.3. ~ 2021.5.
- Predicted and Analyzed time series corona data by using LSTM
Pneumonia Detection Challenge 2021.7. ~ 2021.9.
- Regularized Dicom Data & Metadata Analysis
- Detection Lung Opacity using Segmentation model
Intel Data visualization Challenge (Yonsei Univ & Korea Univ) 2021.8. ~ 2021.9.
- Analyzed EMR Data & Cohort Data
- Visualized preprocessed data
Software Digitalhealthcare Academic Seminar Challenge 2021.9. ~ 2021.10.
- Regularized Dicom Data
- Designed Faster R-CNN configured EfficientNet backbone network
Cancer Instance Segmentation form Tissue 2021.10. ~ 2021.11.
- Segmentation Tissue using RefineNet
- Evaluated by BCE, Dice loss, IoU, confusion matrix
AIDD Challenge (Artificial Intelligence Diabetes Datathon 2021) 2021.11. ~ 2021.11.
- Preprocessed Tabular Data
- Found optimal method using ML each case
Autonomous Project 2021.11. ~ 2021.12.
- Preprocessed Gene Ontology DNA Sequence Data & PPI data
- Measured Semantic Similarity using annotation, node, and edge-based method