Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Huahong Zhang"'
Publikováno v:
Autoimmunity, Vol 57, Iss 1 (2024)
Childhood asthma, a common chronic childhood disease, leads to high mortality and morbidity in the world. Airway smooth muscle cells (ASMCs) is a group of multifunctional cells that has been found to be correlated with the pathogenesis of asthma. Ast
Externí odkaz:
https://doaj.org/article/224d17da27344f5f8a330ab775087589
Publikováno v:
Medical Imaging 2023: Image Processing.
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:
Neurocomputing
Deep learning has achieved impressive performance across a variety of tasks, including medical image processing. However, recent research has shown that deep neural networks are susceptible to small adversarial perturbations in the image. We study th
Autor:
Ipek Oguz, Huahong Zhang, Renxin Chu, Kilian Hett, Francesca Bagnato, Rohit Bakshi, Russell T. Shinohara, Alessandra M. Valcarcel
Publikováno v:
Med Image Comput Comput Assist Interv
Lecture Notes in Computer Science ISBN: 9783030322472
MICCAI (3)
Lecture Notes in Computer Science ISBN: 9783030322472
MICCAI (3)
In this paper, we present a fully convolutional densely connected network (Tiramisu) for multiple sclerosis (MS) lesion segmentation. Different from existing methods, we use stacked slices from all three anatomical planes to achieve a 2.5D method. In
Publikováno v:
Proc SPIE Int Soc Opt Eng
Longitudinal information is important for monitoring the progression of neurodegenerative diseases, such as Huntington’s disease (HD). Specifically, longitudinal magnetic resonance imaging (MRI) studies may allow the discovery of subtle intra-subje
Publikováno v:
Proc SPIE Int Soc Opt Eng
The subcortical structures of the brain are relevant for many neurodegenerative diseases like Huntington’s disease (HD). Quantitative segmentation of these structures from magnetic resonance images (MRIs) has been studied in clinical and neuroimagi
Autor:
Huahong Zhang, Ipek Oguz
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030720834
BrainLes@MICCAI (1)
BrainLes@MICCAI (1)
Lesion segmentation is a core task for quantitative analysis of MRI scans of Multiple Sclerosis patients. The recent success of deep learning techniques in a variety of medical image analysis applications has renewed community interest in this challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eacd06e5997e207bfeaf20cdecbe9ce4
https://doi.org/10.1007/978-3-030-72084-1_2
https://doi.org/10.1007/978-3-030-72084-1_2
Publikováno v:
Mach Learn Med Imaging
Machine Learning in Medical Imaging ISBN: 9783030598600
MLMI@MICCAI
Machine Learning in Medical Imaging ISBN: 9783030598600
MLMI@MICCAI
Inpainting lesions is an important preprocessing task for algorithms analyzing brain MRIs of multiple sclerosis (MS) patients, such as tissue segmentation and cortical surface reconstruction. We propose a new deep learning approach for this task. Unl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adb3d6d8083866cda8974bce473e4580
https://europepmc.org/articles/PMC8692168/
https://europepmc.org/articles/PMC8692168/