Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jinchi Wei"'
Autor:
Jinchi, Wei, David, Li, David C, Sing, Indeevar, Beeram, Varun, Puvanesarajah, Paul, Tornetta, Jan, Fritz, Paul H, Yi
Publikováno v:
Clinical Imaging. 92:38-43
Joint dislocations are orthopedic emergencies that require prompt intervention. Automatic identification of these injuries could help improve timely patient care because diagnostic delays increase the difficulty of reduction. In this study, we develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::893936c3e9b1c39aae3a7fa415a8865e
https://doi.org/10.1016/j.clinimag.2022.09.005
https://doi.org/10.1016/j.clinimag.2022.09.005
Autor:
Jinchi, Wei, David, Li, David C, Sing, JaeWon, Yang, Indeevar, Beeram, Varun, Puvanesarajah, Craig J, Della Valle, Paul, Tornetta, Jan, Fritz, Paul H, Yi
Publikováno v:
Emergency Radiology. 29:801-808
Periprosthetic dislocations of total hip arthroplasty (THA) are time-sensitive injuries, as the longer diagnosis and treatment are delayed, the more difficult they are to reduce. Automated triage of radiographs with dislocations could help reduce the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b32739c30acf9c74577ce079ea99a9f1
https://doi.org/10.1007/s10140-022-02060-2
https://doi.org/10.1007/s10140-022-02060-2
Autor:
Rohan C. Vijayan, Krishnan Venkataraman, Jinchi Wei, Niral M. Sheth, Babar Shafiq, Jeffrey H. Siewerdsen, Wojciech Zbijewski, Gang Li, Kevin Cleary, Ali Uneri
Publikováno v:
Proc SPIE Int Soc Opt Eng
PURPOSE. Existing methods to improve the accuracy of tibiofibular joint reduction present workflow challenges, high radiation exposure, and a lack of accuracy and precision, leading to poor surgical outcomes. To address these limitations, we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13c51f8c792829db25b176b023c7ea53
https://europepmc.org/articles/PMC10155864/
https://europepmc.org/articles/PMC10155864/
Publikováno v:
Canadian Association of Radiologists Journal. 74:219-221
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50d4ca309d347cdea0477f1f7a8f4717
https://doi.org/10.1177/08465371221120539
https://doi.org/10.1177/08465371221120539
Autor:
Paul H. Yi, Cheng Ting Lin, Haris I. Sair, Ferdinand K. Hui, Jiwon Shin, Jinchi Wei, Gregory D. Hager, Tae Kyung Kim
Publikováno v:
Emergency Radiology. 28:949-954
To develop and test the performance of deep convolutional neural networks (DCNNs) for automated classification of age and sex on chest radiographs (CXR). We obtained 112,120 frontal CXRs from the NIH ChestX-ray14 database performed in 48,780 females
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8846de0912c1b3ba446e09f0bcd1ebe8
https://doi.org/10.1007/s10140-021-01953-y
https://doi.org/10.1007/s10140-021-01953-y
Autor:
Neil R. Miller, Gregory D. Hager, Taibo Li, T. Y. Alvin Liu, Prem S. Subramanian, Ferdinand K. Hui, Jinchi Wei, Paul H. Yi, Daniel S W Ting, Hongxi Zhu
Publikováno v:
Journal of Neuro-Ophthalmology. 40:178-184
Background Deep learning (DL) has demonstrated human expert levels of performance for medical image classification in a wide array of medical fields, including ophthalmology. In this article, we present the results of our DL system designed to determ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c2639df5da89df5db0f960de3c63caa
https://doi.org/10.1097/wno.0000000000000827
https://doi.org/10.1097/wno.0000000000000827
Autor:
Julius K. Oni, Ferdinand K. Hui, Paul H. Yi, Tae Kyung Kim, Haris I. Sair, Gregory D. Hager, Jan Fritz, Jinchi Wei
Publikováno v:
The Knee. 27:535-542
Background Preoperative identification of knee arthroplasty is important for planning revision surgery. However, up to 10% of implants are not identified prior to surgery. The purposes of this study were to develop and test the performance of a deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::915bc19130c67397c53e4c3b9791d121
https://doi.org/10.1016/j.knee.2019.11.020
https://doi.org/10.1016/j.knee.2019.11.020
Autor:
Jinchi Wei, David Li, David C. Sing, JaeWon Yang, Indeevar Beeram, Varun Puvanesarajah, Craig J. Della Valle, Paul Tornetta, Jan Fritz, Paul H. Yi
Publikováno v:
Skeletal radiology. 51(11)
Deep learning has the potential to automatically triage orthopedic emergencies, such as joint dislocations. However, due to the rarity of these injuries, collecting large numbers of images to train algorithms may be infeasible for many centers. We ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77ad2498bfdcab0489a2eee60d65761d
https://pubmed.ncbi.nlm.nih.gov/35624310
https://pubmed.ncbi.nlm.nih.gov/35624310
3D Attention M-net for Short-axis Left Ventricular Myocardium Segmentation in Mice MR cardiac Images
Autor:
Luojie Huang, Andrew Jin, Jinchi Wei, Dnyanesh Tipre, Chin-Fu Liu, Robert G. Weiss, Siamak Ardekani
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Small rodent cardiac magnetic resonance imaging (MRI) plays an important role in preclinical models of cardiac disease. Accurate myocardial boundaries delineation is crucial to most morphological and functional analysis in rodent cardiac MRIs. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e8ad7caf2ee505030cbef03a8be9eb5
https://pubmed.ncbi.nlm.nih.gov/34891958
https://pubmed.ncbi.nlm.nih.gov/34891958
Autor:
Ferdinand K. Hui, T. Y. Alvin Liu, J. Fernando Arevalo, Paul H. Yi, Jinchi Wei, Haomin Chen, Zelia M. Correa, Hongxi Zhu, Mathias Unberath
Publikováno v:
Ophthalmology Retina. 4:1213-1215
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cf116f05a202261ca6654efdb3ae8cf
https://doi.org/10.1016/j.oret.2020.06.023
https://doi.org/10.1016/j.oret.2020.06.023