About Me
안녕하세요. 저는 AI researcher로 활동하고 있는 김재영이라고 합니다. 약 5년 동안의 실무 경험동안 다양한 태스크에 대한 딥러닝 모델 개발 및 연구들을 진행하고 있습니다. 의료 영상 도메인에서 데이터 설계부터 상용화 모델 개발까지의 경험과, 자연어 처리 분야에서 AI 면접 자동화 모델을 개발한 경험이 있으며 특정 도메인에 국한되지 않고 도전적인 문제들을 풀어나가는 것에 관심이 있습니다 :)
Skills
DL framework: Pytorch (2020~), Tensorflow (2018~2020)
Domain: Medical Imaging, Natural Language Processing
Programming: Python
Projects
VUNO Med-Fundus AI
VUNO Med-Fundus AI 모델 고도화 및 연구 리딩
(2021.09~2022.08)
Main Task Image classification.
Models CNN-based classifier, vessel segmentation model, optic & fovea segmentation model, and ungradable image classifier.
Modality Color fundus photography.
Approaches Semi-supervised Learning, Ensemble Learning, etc.
Result 마이그레이션 (Keras -> Torch) 및 제품 성능 향상
VUNO Med-Fundus Quantification
Hard Exuadate (HE) 정량화 모델 개발
(2022.02~2022.03)
Main Task Semantic segmentation.
Models CNN-based HE classifier, ROI segmentation model, and HE segmentation model.
Modality Color fundus photography.
Approaches Transfer Learning
Result 상용화 예정
VUNO Med-Dental AI (Periapical X-ray)
Periapical X-ray를 이용한 dental caries, cyst 탐지 모델 개발
(2020.03~2020.05)
Main Task Object detection.
Models Pretrained classifier and RetinaNet.
Modality Dental periapical X-ray.
Approaches Transfer Learning, Pseudo Labeling
Result 기술이전
VUNO Med-Dental AI (Panoramic X-ray)
VUNO Med-Dental AI 연구 및 인허가
(2018.04~2020.02)
Main Task Image classification.
Models CNN-based classifier, ROI segmentation model, and Tooth detection model.
Modality Panoramic X-ray.
Approaches Active Learning
Result 기술이전
AI 면접 자동화 시스템
Behavioral Event Interview (BEI) 를 이용한 면접자 역량평가 모델 개발
(2020.08~2021.07)
Main Task Text classification.
Model Pratrained language model.
Modality BEI transcription.
Approaches Multi-task Learning
Result 모델 성능 고도화
Competition
MICCAI
(2018)
Rank 2nd place at MICCAI REFUGE competition.
Task 1 Glaucoma classification
Task 2 Optic disc/cup segmentation
Careers
VUNO Inc.
Fundus Team 파트장
(2021.09~현재)
GENESISLAB Inc.
Research Scientist
(2020.10~2021.08)
VUNO Inc.
선행연구 Dental 파트장
(2020.02~2020.10)
VUNO Inc.
영상 R&D 연구원
(2018.04~2020.02)
Education
Gachon University
Biomedical Engineering (BS), Industrial Engineering (MS)
2013 - 2021
Papers
Leveraging the Generalization Ability of Deep Convolutional Neural Networks for Improving Classifiers for Color Fundus Photographs
Applied Sciences
https://www.mdpi.com/2076-3417/11/2/591
A two-stage deep learning-based system for patent citation recommendation
Scientometrics
https://link.springer.com/article/10.1007/s11192-022-04301-0
Text classification using capsules
Neurocomputing
https://www.sciencedirect.com/science/article/abs/pii/S0925231219314092
Refuge challenge) A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Medical Image Analysis
https://www.sciencedirect.com/science/article/abs/pii/S1361841519301100
Patent document clustering with deep embeddings
Scientometrics
https://link.springer.com/article/10.1007/s11192-020-03396-7
DeNTNet) Deep Neural Transfer Network for the detection of periodontal bone loss using panoramic dental radiographs
Scientific Reports
https://www.nature.com/articles/s41598-019-53758-2