Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Yul Oh"'
Publikováno v:
Neurointervention, Vol 7, Iss 1, Pp 50-53 (2012)
We present a case of successful retrieval of an intracranial stent using a snare wire. A 52-year-old woman presented with left border zone infarction. On cerebral angiography, the C6 segment of the left internal carotid artery (ICA) showed significan
Externí odkaz:
https://doaj.org/article/4463b25c04dc4e4da86af48030aae362
Publikováno v:
Korean Journal of Anesthesiology, Vol 65, Iss 6 Suppl, Pp S36-S37 (2013)
Externí odkaz:
https://doaj.org/article/a080459892fd48b296825fc320449562
Publikováno v:
IEEE Access, Vol 7, Pp 32256-32265 (2019)
We present a method for digital subtraction angiography based on phase-based nonrigid deformation with specific consideration for changes between the image pairs. Input images are transformed into a scale-space representation using complex-valued fil
Externí odkaz:
https://doaj.org/article/3ece26789b604664b173c457b7d0884e
Autor:
Seo Yoon Kim, Myoung Yul Oh
Publikováno v:
Korea Jouranl of Communication Studies. 30:141-160
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ab1768d124d87e9ae2536113ea08a5a
https://doi.org/10.23875/kca.30.2.5
https://doi.org/10.23875/kca.30.2.5
Autor:
Yejin Jeon, Kyeorye Lee, Leonard Sunwoo, Dongjun Choi, Dong Yul Oh, Kyong Joon Lee, Youngjune Kim, Jeong-Whun Kim, Se Jin Cho, Sung Hyun Baik, Roh-eul Yoo, Yun Jung Bae, Byung Se Choi, Cheolkyu Jung, Jae Hyoung Kim
Publikováno v:
Diagnostics, Vol 11, Iss 2, p 250 (2021)
Accurate image interpretation of Waters’ and Caldwell view radiographs used for sinusitis screening is challenging. Therefore, we developed a deep learning algorithm for diagnosing frontal, ethmoid, and maxillary sinusitis on both Waters’ and Cal
Externí odkaz:
https://doaj.org/article/1b8b0c610d194e57b6ce2613f4c25206
Autor:
Hae Young Kim, Kyeorye Lee, Won Chang, Youngjune Kim, Sungsoo Lee, Dong Yul Oh, Leonard Sunwoo, Yoon Jin Lee, Young Hoon Kim
Publikováno v:
Diagnostics, Vol 11, Iss 3, p 410 (2021)
The performance of deep learning algorithm (DLA) to that of radiologists was compared in detecting low contrast objects in CT phantom images under various imaging conditions. For training, 10,000 images were created using American College of Radiolog
Externí odkaz:
https://doaj.org/article/0d08dfd6a4274e938a2cd851f5f66934
Autor:
Hyowon (Clara) Shin, Yul Oh
Publikováno v:
Frontiers in Tropical Diseases. 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30838d12603d525baaf48bfe9e5f2dd7
https://doi.org/10.3389/fitd.2022.827102
https://doi.org/10.3389/fitd.2022.827102
Autor:
Kyeorye Lee, Kyoung Ho Lee, Jong Chul Ye, Young Hoon Kim, Eun Hee Kang, Hae Young Kim, Won Chang, Ji Hoon Park, Yoon Jin Lee, Youngjune Kim, Dong Yul Oh
Publikováno v:
European Radiology. 31:8755-8764
(1) To compare low-contrast detectability of a deep learning–based denoising algorithm (DLA) with ADMIRE and FBP, and (2) to compare image quality parameters of DLA with those of reconstruction methods from two different CT vendors (ADMIRE, IMR, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8854ca9052f1e7c83f2d7661b1ea3efd
https://doi.org/10.1007/s00330-021-07810-3
https://doi.org/10.1007/s00330-021-07810-3
Autor:
Dong Yul Oh, Il Dong Yun
Publikováno v:
Sensors, Vol 18, Iss 5, p 1308 (2018)
Detecting an anomaly or an abnormal situation from given noise is highly useful in an environment where constantly verifying and monitoring a machine is required. As deep learning algorithms are further developed, current studies have focused on this
Externí odkaz:
https://doaj.org/article/43bc90332d4845c7a72d2272906f8d84
Publikováno v:
Imaging.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::965e94cb6441f7c5d05534430e9e3b53
https://doi.org/10.1183/13993003.congress-2021.pa1861
https://doi.org/10.1183/13993003.congress-2021.pa1861