Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Jae Y. Shin"'
1
Best pigment coating for a dual-purpose coated paper
Autor: Paul D. Fleming, Jae Y. Shin, Hak Lae Lee
Publikováno v: Journal of Coatings Technology and Research. 18:1281-1294
Dual-purpose coated paper, which enables in-line inkjet printing with web offset, can be used for both offset and inkjet prints. This product has potential to meet the ever-increasing demand for printing individualized information on commercial print
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::35428e5b5a260b3fc3102cf3ed0f6b30
https://doi.org/10.1007/s11998-021-00491-z
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2
The influence of different shapes and size distributions of coating pigments on packing and dewatering
Autor: Hak Lae Lee, Jae Y. Shin
Publikováno v: Journal of Coatings Technology and Research. 17:1425-1436
Particle shape and particle-size distribution (PSD) are important factors for pigment packing and water retention in the pigment coating process, being closely associated with many runnability problems. Diverse experimental investigations on the pack
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d3cb83ea34c2a5d77f5b3621c784de64
https://doi.org/10.1007/s11998-020-00371-y
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3
Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation
Autor: Ruibin Feng, Christopher B. Kendall, R. Todd Hurst, Jianming Liang, Jae Y. Shin, Zongwei Zhou
Publikováno v: Journal of Digital Imaging. 32:290-299
Cardiovascular disease (CVD) is the number one killer in the USA, yet it is largely preventable (World Health Organization 2011). To prevent CVD, carotid intima-media thickness (CIMT) imaging, a noninvasive ultrasonography method, has proven to be cl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b9054c002d9599e353ddc4129178ef4
https://doi.org/10.1007/s10278-018-0143-2
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5
Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally
Autor: Jianming Liang, Jae Y. Shin, Zongwei Zhou, Michael B. Gotway, Suryakanth R. Gurudu, Lei Zhang
Publikováno v: CVPR
Intense interest in applying convolutional neural networks (CNNs) in biomedical image analysis is wide spread, but its success is impeded by the lack of large annotated datasets in biomedical imaging. Annotating biomedical images is not only tedious
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::080cb22159efc0b139c9f739016dd015
https://pubmed.ncbi.nlm.nih.gov/30337799
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6
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation
Autor: Jae Y. Shin, Nima Tajbakhsh, Jianming Liang, Michael B. Gotway
Publikováno v: Med Image Anal
Diagnosing pulmonary embolism (PE) and excluding disorders that may clinically and radiologically simulate PE poses a challenging task for both human and machine perception. In this paper, we propose a novel vessel-oriented image representation (VOIR
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37082113a6bc76a6303d2ccfe8ac602e
https://pubmed.ncbi.nlm.nih.gov/31416007
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7
Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts
Autor: Jae Y. Shin, Jianming Liang, Zongwei Zhou, Michael B. Gotway, Suryakanth R. Gurudu
Publikováno v: Med Image Anal
The splendid success of convolutional neural networks (CNNs) in computer vision is largely attributable to the availability of massive annotated datasets, such as ImageNet and Places. However, in medical imaging, it is challenging to create such larg
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5abe0733a7714e86bcf2e4f206c1c7ff
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8
Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks
Autor: Christopher B. Kendall, Jianming Liang, R. Todd Hurst, Jae Y. Shin, Nima Tajbakhsh
Publikováno v: CVPR
Cardiovascular disease (CVD) is the leading cause of mortality yet largely preventable, but the key to prevention is to identify at-risk individuals before adverse events. For predicting individual CVD risk, carotid intima-media thickness (CIMT), a n
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5091aa4cd3218135fd0cc736d04cc0fd
http://arxiv.org/abs/1706.00719
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9
Automatic polyp detection in colonoscopy videos
Autor: Divya Mokkapati, Suryakanth R. Gurudu, Jae Y. Shin, Jianming Liang, Mohammadhassan Izadyyazdanabadi, Zijie Yuan, Rujuta Panvalkar, Nima Tajbakhsh
Publikováno v: Medical Imaging: Image Processing
Colon cancer is the second cancer killer in the US [1]. Colonoscopy is the primary method for screening and prevention of colon cancer, but during colonoscopy, a significant number (25% [2]) of polyps (precancerous abnormal growths inside of the colo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::de20bac3ff9834994cd5cddf17368d49
https://doi.org/10.1117/12.2254671
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10
Automatic Interpretation of Carotid Intima–Media Thickness Videos Using Convolutional Neural Networks
Autor: Jae Y. Shin, R. Todd Hurst, Nima Tajbakhsh, Jianming Liang, Christopher B. Kendall
Publikováno v: Deep Learning for Medical Image Analysis
Cardiovascular disease (CVD) is the leading cause of death in the United States, yet it is largely preventable. But a critical part of prevention is identification of at-risk persons before adverse events. For predicting individual CVD risk, carotid
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a946584e239466cd8d7ceb5fedfbf33b
https://doi.org/10.1016/b978-0-12-810408-8.00007-9
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