News - 2018
Donggyu's paper was awarded in ACKSMR 2018 conference. (Best Poster)
Congratulations!
Donggyu’s paper, “의료영상 내 관심 영역을 효율적으로 레이블링하기 위한 액티브 러닝 기반 영역화 모델 업데이트 기법”, received the Best Poster Award in ACKSMR (대한의료로봇학회) 2018.
2018-10-20
MICCAI 2018 PRIME Workshop ended in a great success.
MICCAI 2018 PRIME workshop where Sang Hyun Park was an organizer ended in a great success.
Thanks to all keynote speakers and presenters.
2018-09-17
Miguel's method occupied the top of 22 teams in the MICCAI 2018 brain segmentation challenge, Congratulations!
Miguel's method occupied the top of 22 teams in the MICCAI 2018 brain segmentation challenge! (http://mrbrains18.isi.uu.nl/results/)
Congratulations, Miguel!
2018-09-17
Jeong Hwan Kim joined MISPL. Welcome!
Jeong Hwan Kim joined MISPL.
2018-09-10
Philip Chikontwe joined MISPL. Welcome!
Philip Chikontwe joined MISPL.
2018-09-03
Euijin's paper has been accepted to MICCAI 2018 PRIME Workshop, Congratulations!
Euijin's paper has been accepted to MICCAI 2018 PRIME Workshop!
Euijin Jung, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park, "Enhancement of Perivascular Spaces using a Very Deep 3D Dense Network", MICCAI 2018 PRIME Workshop
2018-07-26
Internship in 2018 Summer
DGIST 기초학부의 김수필, 박현아 학생이 6주간 하계 인턴을 진행하였습니다.
인턴기간 중 아래와 같은 일들을 수행하였습니다.
머신러닝과 딥러닝 이론공부
Tensorflow를 이용한 딥러닝 프로그래밍
Deep learning을 이용한 의료영상 Classification
FSL, FreeSurfer를 이용한 의료영상 Segmentation과 Registration
2018-07-26
A paper has been accepted for publication in Scientific Reports, Congratulations!
A study on the effect of alcohol on brain changes in adolescence has been accepted for publication in Scientific Reports. Congratulations!
Sang Hyun Park, Yong Zhang, Dongjin Kwon, Qingyu Zhao, Natalie M. Zahr, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl, "Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals", Scientific Reports.
2018-06-07
Mungi Kwon, Donggyu Won and Gyeongmin Lee joined MISPL. Welcome!
Mungi Kwon, Donggyu Won and Gyeongmin Lee joined MISPL.
2018-03-21
2 papers were awarded in IPIU 2018. Congratulations!
2 papers were awarded in IPIU 2018.
Miguel’s paper, “딥 뉴럴 네트워크를 이용한 MR 영상 내의 뇌백질 고강도 신호의 자동 추출”, was awarded the bronze prize in IPIU 2018.
Euijin’s paper, “반지도학습을 사용한 합성곱 신경망 무릎연골 영역화”, was awarded one of the best poster papers in IPIU 2018.
Congratulations!!
2018-02-11
3 papers were accepted to IPIU 2018
3 papers were accepted to 30th Workshop on Image Processing and Image Understanding (IPIU).
Congratulations!
Miguel Luna, 정의진, 박상현, “딥 뉴럴 네트워크를 이용한 MR 영상 내의 뇌백질 고강도 신호의 자동 추출”, 제 30회 영상처리 및 이해에 관한 워크샵 (IPIU), 2018
정의진, Miguel Luna, 박상현, “반지도학습을 사용한 합성곱 신경망 무릎연골 영역화”, 제 30회 영상처리 및 이해에 관한 워크샵(IPIU), 2018
Ihsan Ullah, 박상현, “Catheter Tip Segmentation Using Patch-wise UNET”, 제 30회 영상처리 및 이해에 관한 워크샵 (IPIU), 2018
2018-02-11
Internship in 2018 Winter
DGIST의 김채원, 김혜진, 김명현, 김찬호 학생과, 계명대학교의 황승현, 김수열 학생이 5주간 동계 인턴을 진행하였습니다.
인턴기간 중 아래와 같은 일들을 수행하였습니다.
머신러닝과 딥러닝 이론공부
Tensorflow, Keras를 이용한 딥러닝 프로그래밍.
Auto-encoder, Convolutional Neural Network, Alex Net, U-Net 등 최신 Deep learning 기법들 구현
Deep learning을 이용한 의료로봇 Video 및 의료영상처리