Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Jiyeun Kim"'
Autor:
Sant P. Chawla, Arlo N. McGinn, Robert Sumner, Kelly Wang, Jiyeun Kim, Raymond Y. Huang, Neil Sankar, Ania Moradkhani, Katherine K. Kim, Virginia Mac, Doris Quon, Victoria S. Chua, Erlinda M. Gordon, Scott Houston, Bum Jin Kim, Cheol Hee Park, Steven G. Wong
Publikováno v:
Journal of Clinical Oncology. 37:18-18
18 Background: Due to their immuno-modulatory effects, anti-angiogenic drugs have been clinically investigated in combination with anti-PD-1 therapies. The addition of rivoceranib (apatinib), a highly-selective VEGFR-2 tyrosine kinase inhibitor, is b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7de2b76e16785b0572a0fc425c48ca68
https://doi.org/10.1200/jco.2019.37.8_suppl.18
https://doi.org/10.1200/jco.2019.37.8_suppl.18
Publikováno v:
International Journal of Hydrogen Energy. 35:11829-11843
The present work focused on the investigation of the hydrogen generation through the ethanol steam reforming over the core–shell structured Ni x O y –, Fe x O y –, and Co x O y –Pd loaded Zeolite Y catalysts. The transmission electron microsc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::deb5e70aa6fbcb3a36da3c0ffa379193
https://doi.org/10.1016/j.ijhydene.2010.08.073
https://doi.org/10.1016/j.ijhydene.2010.08.073
Publikováno v:
Medical Imaging: Image Processing
A novel noise reduction algorithm is proposed for reducing the noise and enhancing the contrast in 3D Optical Coherence Tomography (OCT) images. First, the OCT image is divided into two subregions based on the local noise property: the background are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e39430bb6ef69479ab07e475583af65
https://doi.org/10.1117/12.2006771
https://doi.org/10.1117/12.2006771
Autor:
Qiang Wang, Won-Chul Bang, Youngkyoo Hwang, Xiaolu Shen, Xuetao Feng, James D. K. Kim, Jung-Bae Kim, Zhihui Hao, Jiyeun Kim
Publikováno v:
Medical Imaging: Image Processing
Automatic segmentation of anatomical structure is crucial for computer aided diagnosis and image guided online treatment. In this paper, we present a novel approach for fully automatic segmentation of all anatomical structures from a target liver org
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78d8b1195acba56dfc8a972fce27ae6a
https://doi.org/10.1117/12.2006758
https://doi.org/10.1117/12.2006758
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Lesion segmentation is one of the key technologies for computer-aided diagnosis (CAD) system. In this paper, we propose a robust region-based active contour model (ACM) with point classification to segment high-variant breast lesion in ultrasound ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61cc235ee2d0b15feef5f77fc386458e
https://doi.org/10.1117/12.2006164
https://doi.org/10.1117/12.2006164
Publikováno v:
ICCE
Facial motion tracking is a challenging task because of highly flexible head pose and facial expression. An extensible tracking framework is proposed in this paper. Within the framework, proper models are selected according to requirements and restri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::014512f9a3967744eeeea0ad8cc6363a
https://doi.org/10.1109/icce.2013.6486898
https://doi.org/10.1109/icce.2013.6486898
Autor:
Min-Suk Kwon, Nayoung Lee, Seong Hun Kim, Doyun Kim, Dong-Kyu Kim, Changhan Lee, Kihyun Lee, Chankyu Park, Jiyeun Kim, Haeyoung Min, Jihong Kim, Changmin Ko
Publikováno v:
FEMS Microbiology Letters. 363:fnw199
Glyoxal (GO) belongs to the reactive electrophilic species generated in vivo in all organisms. In order to identify targets of GO and their response mechanisms, we attempted to screen for GO-sensitive mutants by random insertions of Tn phoA -132. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c30126d0433222f866ab11c343b74e42
https://doi.org/10.1093/femsle/fnw199
https://doi.org/10.1093/femsle/fnw199
Publikováno v:
ICIP
Tumor localization and segmentation in breast ultrasound (BUS) images is an important as well as intractable problem for computer-aided diagnosis (CAD) due to the high variation in shape and appearance. We propose a novel algorithm in this paper with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c6b7bfa3dd9de93043c4bcf99e4ee27
https://doi.org/10.1109/icip.2012.6467485
https://doi.org/10.1109/icip.2012.6467485
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 ISBN: 9783642334146
MICCAI (1)
MICCAI (1)
The implementation of lesion segmentation for breast ultrasound image relies on several diagnostic rules on intensity, texture, etc. In this paper, we propose a novel algorithm to achieve a comprehensive decision upon these rules by incorporating ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95fa37b7d3f7a75bc53413d9aff64651
https://doi.org/10.1007/978-3-642-33415-3_62
https://doi.org/10.1007/978-3-642-33415-3_62
Autor:
Sandra Jarr, Christine M. Walko, Kelly M. Gregory, John M. Valgus, Stephen M. Caiola, Scott W. Savage, Stephen A. Bernard, Jiyeun Kim, Aimee Faso
Publikováno v:
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists. 68(7)
Purpose The development, implementation, and early experience with a program providing clinical pharmacist services at the hematology–oncology clinics of a university teaching hospital are described. Summary With funding from a university research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a022ea07ff6058396ccf58ee462caa74
https://pubmed.ncbi.nlm.nih.gov/21411803
https://pubmed.ncbi.nlm.nih.gov/21411803