Zobrazeno 1 - 10
of 218
pro vyhledávání: '"Murray H. Loew"'
Publikováno v:
IEEE Access, Vol 8, Pp 111626-111635 (2020)
A loss function has two crucial roles in training a conventional discriminant deep neural network (DNN): (i) it measures the goodness of classification and (ii) generates the gradients that drive the training of the network. In this paper, we approxi
Externí odkaz:
https://doaj.org/article/156340beb6de4632b54d56a97050df34
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 6, Iss 5, Pp 16-20 (2008)
An automated method for ?-emission spectrum calibration and deconvolution is presented for spaceflight applications for a Cerium doped Lanthanum Chloride, (LaCl3(Ce)) ?-ray detector system. This detector will be coupled with a pulsed neutron generato
Externí odkaz:
https://doaj.org/article/279938357f6b4bc9b3d3d2dddcecda9e
Publikováno v:
Practical Radiation Oncology. 12:120-124
Previous studies have demonstrated that patients can be identified from 3-dimensional (3D) reconstructions of computed tomography (CT) or magnetic resonance imaging data of the brain or head and neck. This presents a privacy and security concern for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42579a7f65ee6347cfa164cceffb690c
https://doi.org/10.1016/j.prro.2021.09.006
https://doi.org/10.1016/j.prro.2021.09.006
Autor:
Murray H, Loew
Publikováno v:
Journal of Medical Imaging. 9
Image processing has contributed greatly to the clinical applications of medical imaging. Many of the major developments have been stimulated by and reported at the Image Processing (IP) conference held annually as part of the SPIE Medical Imaging me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::187613e1baa87fd971e6054c26171226
https://doi.org/10.1117/1.jmi.9.s1.s12209
https://doi.org/10.1117/1.jmi.9.s1.s12209
Publikováno v:
IEICE Transactions on Information and Systems. :776-780
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b77633ed0070bef8a85405429927d44
https://doi.org/10.1587/transinf.2020edl8138
https://doi.org/10.1587/transinf.2020edl8138
Segmenting medical images accurately and reliably is important for disease diagnosis and treatment. It is a challenging task because of the wide variety of objects' sizes, shapes, and scanning modalities. Recently, many convolutional neural networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b29a4b4e7cc0d7cfd82d8ef4d2125fa
http://arxiv.org/abs/2108.07368
http://arxiv.org/abs/2108.07368
Publikováno v:
2021 IEEE Data Science and Learning Workshop (DSLW).
Although deep neural networks (DNNs) achieve state-of-the-art performances in a wide range of machine learning (ML) applications, they are vulnerable: when small intentional perturbations are added to inputs, the network would misclassify them with h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7c65cf4a63c7f022131976ed1bb1a78
https://doi.org/10.1109/dslw51110.2021.9523406
https://doi.org/10.1109/dslw51110.2021.9523406
Publikováno v:
Stereotactic and Functional Neurosurgery. 97:313-318
Background: Brain stimulation is utilized to treat a variety of neurological disorders. Clinical brain stimulation technologies currently utilize charge-balanced pulse stimulation. The brain may better respond to other stimulation waveforms. This stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc4316fdcb9c6439dfd2c80ea5f1b57f
https://doi.org/10.1159/000503022
https://doi.org/10.1159/000503022
Autor:
M. Lopez-Acevedo, B. Long, R.J. Thomas, Destie Provenzano, Murray H. Loew, Sharad Goyal, Y.J. Rao
Publikováno v:
International Journal of Radiation Oncology*Biology*Physics. 111:e622-e623
PURPOSE/OBJECTIVE(S) This study assessed trends in guideline-adherent chemoradiation therapy (GA-RT) for advanced-stage cervical cancer relative to Patient Protection and Affordable Care Act (ACA) implementation in the year 2010. MATERIALS/METHODS Na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5543a6830ccd3f0d33879854e1b1b75a
https://doi.org/10.1016/j.ijrobp.2021.07.1656
https://doi.org/10.1016/j.ijrobp.2021.07.1656
Autor:
Y.J. Rao, Sharad Goyal, Kevin Rao, Murray H. Loew, Hamid Aghdam, Destie Provenzano, Alexander J. Lin, Benjamin W. Fischer-Valuck, Mehrdad Sarfaraz, Neil K. Taunk, Martin Ojong-Ntui, Gizem Cifter
Publikováno v:
Brachytherapy. 20(5)
PURPOSE To provide an assessment of safety regarding high-dose-rate after-loading brachytherapy (HDR-BT) based on adverse events reported to the OpenFDA, an open access database maintained by the United States Food and Drug Administration (FDA). METH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6da441efc5d0cd87c6bf523ace4f180
https://pubmed.ncbi.nlm.nih.gov/34088594
https://pubmed.ncbi.nlm.nih.gov/34088594