Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mohammadreza Soltaninejad"'
Autor:
Marcus Griffiths, Nathan Mellor, Craig J. Sturrock, Brian S. Atkinson, James Johnson, Stefan Mairhofer, Larry M. York, Jonathan A. Atkinson, Mohammadreza Soltaninejad, John F. Foulkes, Michael P. Pound, Sacha J. Mooney, Tony P. Pridmore, Malcolm J. Bennett, Darren M. Wells
Publikováno v:
Plant Phenome Journal, Vol 5, Iss 1, Pp n/a-n/a (2022)
Abstract The spatial arrangement of the root system, termed root system architecture, is important for resource acquisition as it directly affects the soil zone explored. Methods for phenotyping roots are mostly destructive, which prevents analysis o
Externí odkaz:
https://doaj.org/article/0f6e558d8eee43f3ab0e7dcc7e93516d
Publikováno v:
Work. 68:69-75
BACKGROUND: The school is one of the most critical social, educational, and training institutions and the main pillar of education in society. Education and, consequently, educational environments have the highest effect on the mentality, development
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29804a4475fb965d9b43118544989f02
https://doi.org/10.3233/wor-203355
https://doi.org/10.3233/wor-203355
Publikováno v:
Journal of Pharmaceutical Research International. :25-31
Introduction: The efficacy of psychological and pharmacological approaches is broadly similar in the acute treatment of psychopharmacology disorders. One of the most important stressful environmental stimuli that can cause chronic stress is people's
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e775817f3a9c018de8605e463aa3687
https://doi.org/10.9734/jpri/2020/v32i130391
https://doi.org/10.9734/jpri/2020/v32i130391
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030720865
BrainLes@MICCAI (2)
BrainLes@MICCAI (2)
In this paper, we propose an automated three dimensional (3D) deep learning approach for the segmentation of gliomas in pre-operative brain MRI scans. We introduce a state-of-the-art multi-resolution architecture based on encoder-decoder which compri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::326d118b48c7b2ed0b49f46bb0ae91e2
https://doi.org/10.1007/978-3-030-72087-2_3
https://doi.org/10.1007/978-3-030-72087-2_3
Autor:
Amin Saberinia, Elham Madrese, Mohsen Poursadeqiyan, Mohsen Aminizadeh, Saeed Khaleghi, Mohammadreza Soltaninejad, Hamed Yarmohammadi
Publikováno v:
Work (Reading, Mass.). 67(4)
BACKGROUND: Metabolic syndrome is an increasing disorder, especially in night workers. Drivers are considered to work during 24 hours a day. Because of job characteristics such as stress, low mobility and long working hours, they are at risk of a met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e514aa4991c928caa7dd0b7f9612461d
https://pubmed.ncbi.nlm.nih.gov/33325431
https://pubmed.ncbi.nlm.nih.gov/33325431
Autor:
Mohammadreza Soltaninejad, Craig J. Sturrock, Marcus Griffiths, Tony P. Pridmore, Michael P. Pound
We address the complex problem of reliably segmenting root structure from soil in X-ray Computed Tomography (CT) images. We utilise a deep learning approach, and propose a state-of-the-art multi-resolution architecture based on encoder-decoders. Whil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c63321b8785458a23095fa5edd43e58
Autor:
Mohsen Poursadeqiyan, Reza NabiAmjad, Alireza Khammar, Mehdi Raei, Mahsa Hami, Mohsen Aminizadeh, Mohammadreza Soltaninejad
Publikováno v:
Work (Reading, Mass.). 66(1)
INTRODUCTION Many adverse effects occur among the nurses due to shift work Hence, the present study aimed to determine the prevalence of shift work-related disorders and its related factor among the nurses at Tehran University Subsidiary Hospital, Ir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eec3d14cf1819ec28c9029ccbec137a
https://pubmed.ncbi.nlm.nih.gov/32417828
https://pubmed.ncbi.nlm.nih.gov/32417828
Autor:
Mehdi Amian, Mohammadreza Soltaninejad
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030466398
BrainLes@MICCAI (1)
BrainLes@MICCAI (1)
In this study, an automated three dimensional (3D) deep segmentation approach for detecting gliomas in 3D pre-operative MRI scans is proposed. Then, a classification algorithm based on random forests, for survival prediction is presented. The objecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79aeaae34a6211f85835c4d9bc538aff
https://doi.org/10.1007/978-3-030-46640-4_21
https://doi.org/10.1007/978-3-030-46640-4_21
Autor:
Nigel M. Allinson, Xujiong Ye, Lei Zhang, Tryphon Lambrou, Mohammadreza Soltaninejad, Guang Yang
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783319752372
BrainLes@MICCAI
BrainLes@MICCAI
In this paper, we propose a learning based method for automated segmentation of brain tumor in multimodal MRI images, which incorporates two sets of machine-learned and hand-crafted features. Fully convolutional networks (FCN) forms the machine-learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96742b6cbf675fe056506ffe44e45830
https://doi.org/10.1007/978-3-319-75238-9_18
https://doi.org/10.1007/978-3-319-75238-9_18
Autor:
Mohammadreza Soltaninejad, Guang Yang, Franklyn A. Howe, Tryphon Lambrou, Thomas R. Barrick, Timothy L. Jones, Nigel M. Allinson, Xujiong Ye
Publikováno v:
Computer methods and programs in biomedicine. 157
Background: Accurate segmentation of brain tumour in magnetic resonance images (MRI) is a difficult task due to various tumour types. Using information and features from multimodal MRI including structural MRI and isotropic (p) and anisotropic (q) co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::430b7021759f686fc23efbde003ccb06
https://pubmed.ncbi.nlm.nih.gov/29477436
https://pubmed.ncbi.nlm.nih.gov/29477436