홈 > 게시판 > 세미나

경북대학교 IT대학 전자공학부세미나

게시판 보기
제 목 [10/24(목) 14:00] Deep Learning in Medical Image Analysis(이민호교수 초청)
작성자 김근수 작성일 2019-10-22 조회수 1487
첨부파일
  • 첨부된 파일이 없습니다.

1. 제    목 : Deep Learning in Medical Image Analysis

 

2. 발 표 자 : Dinggang Shen (University of North Carolina at Chapel Hill, UNC-CH)


3. 일    시 : 2019년  10월  24일(목)  14:00 ~ 15:00


4. 장    소 : 경북대학교 IT-1호관 313호


5. 초청교수 : 이민호 교수


6. 주관 : 경북대학교 인공지능연구원, KNU-LG전자 융합연구센터


Abstract
  This talk will introduce our recent deep learning work on brain quantification and prostate cancer radiotherapy. Specifically, for automatic quantification of early brain development in the first year of life, i.e., with the goal of early identification of brain diseases such as autism, deep learning based brain image segmentation and cortical surface parcellation have been developed. For early diagnosis of Alzheimer’s Disease (AD) with the goal of possible early treatment, deep learning has been applied to unsupervised brain registration for precise inter-subject comparison and distinctive-regions based disease diagnosis. Besides, for effective treatment of prostate cancer, especially for MRI-based cancer treatment, a novel context-aware GAN (Generative Adversarial Networks) has been developed for synthesizing CT from MRI. Also, two novel deep learning techniques have been developed for automatic and precise segmentation of pelvic organs from the planning CT images to better guide radiotherapy. Both the clinical significance of each medical problem and the motivation of each developed technique will be clarified in this talk.


Biography
  Dinggang Shen is Jeffrey Houpt Distinguished Investigator, and a Professor of Radiology, Biomedical Research Imaging Center (BRIC), Computer Science, and Biomedical Engineering in the University of North Carolina at Chapel Hill (UNC-CH). He is currently directing the Center for Image Analysis and Informatics, the Image Display, Enhancement, and Analysis (IDEA) Lab in the Department of Radiology, and also the medical image analysis core in the BRIC. He was a tenure-track assistant professor in the University of Pennsylvanian (UPenn), and a faculty member in the Johns Hopkins University. Dr. Shen’s research interests include medical image analysis, computer vision, and pattern recognition. He has published more than 1000 papers in the international journals and conference proceedings, with H-index 92. He serves as an editorial board member for eight international journals. He has also served in the Board of Directors, The Medical Image Computing and Computer Assisted Intervention (MICCAI) Society, in 2012-2015, and is General Chair for MICCAI 2019. He is Fellow of IEEE, Fellow of The American Institute for Medical and Biological Engineering (AIMBE), and also Fellow of The International Association for Pattern Recognition (IAPR).

 

 

◀ 문의처 : IT대학 전자공학부 인공두뇌연구실 정미지 ☎ 940-8616 ▶

 


[좋아요 0 ]
댓글 ( 0 )
댓글 등록 폼
덧글 입력박스
유동형 덧글모듈
목록

저작권정보

41566 대구광역시 북구 대학로 80 경북대학교TEL : 053-950-5506FAX : 053-950-5505
COPYRIGHT(C) 2015 SEE.KNU.AC.KR. ALL RIGHTS RESERVED.

맨위로 이동