Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Woo-Sup Han"'
Autor:
Woo-Sup Han, Il Song Han
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030466428
BrainLes@MICCAI (2)
BrainLes@MICCAI (2)
Automated image analysis of brain tumors from 3D Magnetic Resonance Imaging (MRI) is necessary for the diagnosis and treatment planning of the disease, because manual practices of segmenting tumors are time consuming, expensive and can be subject to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c0f2174c472a0afcfa4104f1c0437e
https://doi.org/10.1007/978-3-030-46643-5_2
https://doi.org/10.1007/978-3-030-46643-5_2
Autor:
Woo-Sup Han, Il Han
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030117252
BrainLes@MICCAI (2)
BrainLes@MICCAI (2)
Image analysis of brain tumors is one of key elements for clinical decision, while manual segmentation is time consuming and known to be subjective to clinicians or radiologists. In this paper, we examined the neuromorphic convolutional neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33a1963017620783d4ac14c87d3d6966
https://doi.org/10.1007/978-3-030-11726-9_16
https://doi.org/10.1007/978-3-030-11726-9_16
Autor:
Il Song Han, Woo-Sup Han
Publikováno v:
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 ISBN: 9783319569901
The neuromorphic visual processing is inspired by the robust visual recognition of human brain for the robust computer vision in ordinary everyday environment, by mimicking the behavior of primary visual cortex. With the recent wide application of de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bb7fd7468d26092cdf50242a6c43b9e
https://doi.org/10.1007/978-3-319-56991-8_7
https://doi.org/10.1007/978-3-319-56991-8_7
Autor:
Il Song Han, Woo-Sup Han
Publikováno v:
2017 Computing Conference.
Neuromorphic visual processing inspired by the biological vision system of brain offers an alternative process into applying machine vision in everyday environment. With the growing demand for an effective detection method of moving objects on the ro
Autor:
Il Song Han, Woo-Sup Han
Publikováno v:
2016 SAI Computing Conference (SAI).
The neuromorphic visual processing framework mimicking the biological vision system offers an alternative process into applying computer vision in everyday environment. With the growing interest for an effective approach for making detection of vulne
Publikováno v:
RO-MAN
This paper proposes a new concept of the genetic robot which has its own robot genome, in which each chromosome consists of many genes that contribute to defining the robotpsilas personality. The large number of genes also allows for a highly complex
Publikováno v:
Transactions of the Korean Society of Mechanical Engineers A. 31:517-524
Autor:
Il Song Han, Woo-Sup Han
Publikováno v:
ICIT
Considering the number of fatalities and serious injuries, there is a surprising dearth of human figure detection in the context of railway environment. Our proposed neuromorphic visual processing algorithm based on the biological vision system is an
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 7:15-22
A disk-type integrated motor-bearing system having axial magnetic flux is newly invented and its design, analysis, and control methods are presented. Sinusoidal motoring currents to four symmetrically placed winding groups produce a torque, whereas c
Autor:
Woo-Sup Han, Il Song Han
Publikováno v:
Intelligent Systems for Science and Information ISBN: 9783319047010
There have been many researches on computer vision for the purpose of vehicle safety applications, making use of diverse methodologies like complex vision algorithms. However, despite its effectiveness, computer vision algorithms sometimes lack the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::738d9785117da6a9f5875fc4bbf1ef7a
https://doi.org/10.1007/978-3-319-04702-7_2
https://doi.org/10.1007/978-3-319-04702-7_2