Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Dewei Hu"'
Autor:
Xing Yao, Ange Lou, Hao Li, Dewei Hu, Daiwei Lu, Han Liu, Jiacheng Wang, Zachary A. Stoebner, Hans Johnson, Jeff D. Long, Jane Paulsen, Ipek Oguz
Publikováno v:
Medical Imaging 2023: Image Processing.
Autor:
Jiacheng Wang, Hao Li, Han Liu, Dewei Hu, Daiwei Lu, Keejin Yoon, Kelsey Barter, Francesca Bagnato, Ipek Oguz
Automated segmentation of multiple sclerosis (MS) lesions from MRI scans is important to quantify disease progression. In recent years, convolutional neural networks (CNNs) have shown top performance for this task when a large amount of labeled data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7bdd03a7ea37c38fb36be516d5bdad2
Publikováno v:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVI.
Autor:
Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Hans Johnson, Omar Sherbini, Francesco Gavazzi, Russell D’Aiello, Adeline Vanderver, Jeffrey Long, Jane Paulsen, Ipek Oguz
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031178986
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2eb14c70c5da3f4466080acad19102f
https://doi.org/10.1007/978-3-031-17899-3_4
https://doi.org/10.1007/978-3-031-17899-3_4
Autor:
Han Liu, Yubo Fan, Hao Li, Jiacheng Wang, Dewei Hu, Can Cui, Ho Hin Lee, Huahong Zhang, Ipek Oguz
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164422
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f4adfe829d08bdadd651745099a9e04
https://doi.org/10.1007/978-3-031-16443-9_43
https://doi.org/10.1007/978-3-031-16443-9_43
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783031090011
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95835b47a6498bba72814c3a6f5c29f9
https://doi.org/10.1007/978-3-031-09002-8_45
https://doi.org/10.1007/978-3-031-09002-8_45
Publikováno v:
Biomed Opt Express
Optical coherence tomography (OCT) has become the gold standard for ophthalmic diagnostic imaging. However, clinical OCT image-quality is highly variable and limited visualization can introduce errors in the quantitative analysis of anatomic and path
Autor:
Michael A. Choma, Jonathan R. Floriani, Paolo G. Gabriel, Laura Urbisci, Dewei Hu, Tyler P. Troy, Tom Hata, Narinder Singh, Amela Blekic
Publikováno v:
Journal of the Academy of Consultation-Liaison Psychiatry. 63:S231
Publikováno v:
Ophthalmic Med Image Anal (2020)
Ophthalmic Medical Image Analysis ISBN: 9783030634186
OMIA@MICCAI
Ophthalmic Medical Image Analysis ISBN: 9783030634186
OMIA@MICCAI
Optical coherence tomography (OCT) is a prevalent imaging technique for retina. However, it is affected by multiplicative speckle noise that can degrade the visibility of essential anatomical structures, including blood vessels and tissue layers. Alt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f688afd80480b372afa0e9e41e6b243b
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871925
MICCAI (1)
Med Image Comput Comput Assist Interv
MICCAI (1)
Med Image Comput Comput Assist Interv
Optical coherence tomography (OCT) is a non-invasive imaging technique widely used for ophthalmology. It can be extended to OCT angiography (OCT-A), which reveals the retinal vasculature with improved contrast. Recent deep learning algorithms produce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cd4d2bce2eb1c9e2f7fbbb12efc4235
https://doi.org/10.1007/978-3-030-87193-2_49
https://doi.org/10.1007/978-3-030-87193-2_49