Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Soheyla Amirian"'
Autor:
Ismaeel A. Siddiqui, Nickolas Littlefield, Luke A. Carlson, Matthew Gong, Avani Chhabra, Zoe Menezes, George M. Mastorakos, Sakshi Mehul Thakar, Mehrnaz Abedian, Ines Lohse, Kurt R. Weiss, Johannes F. Plate, Hamidreza Moradi, Soheyla Amirian, Ahmad P. Tafti
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract AI-powered segmentation of hip and knee bony anatomy has revolutionized orthopedics, transforming pre-operative planning and post-operative assessment. Despite the remarkable advancements in AI algorithms for medical imaging, the potential f
Externí odkaz:
https://doaj.org/article/9568bc673d3244049378411bb68ad069
Autor:
Soheyla Amirian, Husam Ghazaleh, Luke A. Carlson, Matthew Gong, Logan Finger, Johannes F. Plate, Ahmad P. Tafti
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109738- (2023)
Total joint arthroplasty (TJA) is the most common and fastest inpatient surgical procedure in the elderly, nationwide. Due to the increasing number of TJA patients and advancements in healthcare, there is a growing number of scientific articles being
Externí odkaz:
https://doaj.org/article/819379a442734523b7bec95df8bbd36f
Publikováno v:
IEEE Access, Vol 8, Pp 218386-218400 (2020)
Methodologies that utilize Deep Learning offer great potential for applications that automatically attempt to generate captions or descriptions about images and video frames. Image and video captioning are considered to be intellectually challenging
Externí odkaz:
https://doaj.org/article/2b40405aa3404cb2adb4b49b7a041ce3
Generative Adversarial Networks (GANs) are machine learning methods that are used in many important and novel applications. For example, in imaging science, GANs are effectively utilized in generating image datasets, photographs of human faces, image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86961e64b98260af4e5648e17f41ff10
http://arxiv.org/abs/2201.09152
http://arxiv.org/abs/2201.09152
Publikováno v:
IEEE Access, Vol 8, Pp 218386-218400 (2020)
Methodologies that utilize Deep Learning offer great potential for applications that automatically attempt to generate captions or descriptions about images and video frames. Image and video captioning are considered to be intellectually challenging
Publikováno v:
Transactions on Computational Science and Computational Intelligence ISBN: 9783030702953
Over the last decade, the use of Deep Learning in many applications produced results that are comparable to and in some cases surpassing human expert performance. The application domains include diagnosing diseases, finance, agriculture, search engin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21f613a5fc5791cf430f5d064e3da5c7
https://doi.org/10.1007/978-3-030-70296-0_2
https://doi.org/10.1007/978-3-030-70296-0_2
Autor:
Jonathan Fowler, Soheyla Amirian
Publikováno v:
Advances in Data Science and Information Engineering ISBN: 9783030717032
At present, the time, labor, and inaccuracies in plant and seedling care make feasibility a major concern in large-scale agricultural operations. Developments in Internet of Things (IoT) technology and image classification by deep learning have made
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d858691111a62f136426c7b3cc40458
https://doi.org/10.1007/978-3-030-71704-9_26
https://doi.org/10.1007/978-3-030-71704-9_26
Publikováno v:
2020 International Conference on Computational Science and Computational Intelligence (CSCI).
Video Captioning is considered to be one of the most challenging problems in the field of computer vision. Video Captioning involves the combination of different deep learning models to perform object detection, action detection, and localization by
Publikováno v:
2019 International Conference on Computational Science and Computational Intelligence (CSCI).
Automatic image annotation, automatic image tagging, and image linguistic indexing functions use methodologies that significantly overlap. In this paper, we use the general term, image captioning, to refer to all forms of such functions. Image captio
Publikováno v:
2018 International Conference on Computational Science and Computational Intelligence (CSCI).
Deep Learning has dramatically improved the accuracy of image recognition. Image recognition is considered to be one of the most challenging problems in imaging science. This paper briefly surveys the application of Deep Learning in classification, o