A paper has been accepted in Journal of Neural Engineering. Congratulations!
Jae-Won Jang , Yoo Na Kang, Hee Won Seo , Boil Kim , Han Kyoung Choe, Sang Hyun Park , Maan-Gee Lee and Sohee Kim, "Long-term in-vivo recording performance of flexible penetrating microelectrode arrays," Journal of Neural Engineering, 2021.
Kyeongmin's paper, "A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography ," has been accepted for publication in Scientific Reports. Congratulations!
Euijin's paper, "Conditional GAN with an Attention-based Generator and a 3D Discriminator for 3D Medical Image Generation," has been accepted for publication in MICCAI 2021. Congratulations!
Philip's paper, "Dual Attention Multiple Instance Learning with Unsupervised Complementary Loss for COVID-19 Screening," has been accepted for publication in Medical Image Analysis. Congratulations!
DGIST의 남시우, 이소진, 이준영, 지성찬 학생이 '안구 OCT/OCTA 영상만으로 환자의 상태를 맞추는 인공지능 개발'을 주제로 「2020 학년도 UGRP 연구 프로그램」에서 장려상을 수상하였습니다.
Siwoo Nam and Abdul Muqeet joined MISPL.
Euijin Jung, Soopil Kim, Sion An ranked 3rd among 40 teams in SNUH Sleep AI Challenge. Congratulations!
link of the article: https://www.healthinnews.co.kr/news/articleView.html?idxno=21858
link of the homepage: http://maic.or.kr/competitions/3/leader-board
Philip and Ihsan's paper, "Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation," has been accepted for publication in Applied Sciences. Congratulations!
DGIST의 남시우 학생이 4주간 동계 인턴을 진행하였습니다.
인턴기간 중 아래와 같은 일들을 수행하였습니다.
머신러닝과 딥러닝 이론공부
Pytorch를 이용한 Object Detection과 Segementation 프로그래밍
Unsupervised and Semi-Supervised Medical Image Segmentation 공부
MyeonKyun's paper, "Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective," has been accepted for publication in Journal of Korean Medical Science. Congratulations!