Zobrazeno 1 - 10
of 2 749
pro vyhledávání: '"Amirian A"'
Publikováno v:
Open Medicine, Vol 17, Iss 1, Pp 70-86 (2021)
Gestational diabetes mellitus (GDM) can have adverse effects on pregnancy. GDM is associated with changes in the lipid profile of pregnant women. Finding out the early ways to diagnose GDM can prevent the adverse outcomes. This meta-analysis study ai
Externí odkaz:
https://doaj.org/article/1b4c9fdf3792429eac50c8ac3081a013
In this paper, we propose hardware and software enhancements for the Pepper robot to improve its human-robot interaction capabilities. This includes the integration of an NVIDIA Jetson GPU to enhance computational capabilities and execute real time a
Externí odkaz:
http://arxiv.org/abs/2409.01036
With the increasing presence of social robots in various environments and applications, there is an increasing need for these robots to exhibit socially-compliant behaviors. Legible motion, characterized by the ability of a robot to clearly and quick
Externí odkaz:
http://arxiv.org/abs/2404.05100
Autor:
Amirian, Mohammadreza
Publikováno v:
OPARU is the OPen Access Repository of Ulm University and Ulm University of Applied Sciences, 2023
Recent breakthroughs in machine and deep learning (ML and DL) research have provided excellent tools for leveraging enormous amounts of data and optimizing huge models with millions of parameters to obtain accurate networks for image processing. Thes
Externí odkaz:
http://arxiv.org/abs/2403.18674
Publikováno v:
IEEE Access, vol. 12, pp. 10281-10295, 2024
Deep learning based approaches have been used to improve image quality in cone-beam computed tomography (CBCT), a medical imaging technique often used in applications such as image-guided radiation therapy, implant dentistry or orthopaedics. In parti
Externí odkaz:
http://arxiv.org/abs/2403.18565
Autor:
Akhrorjon Akhmadjon Ugli Rakhmonov, Barathi Subramanian, Bahar Amirian Varnousefaderani, Jeonghong Kim
Publikováno v:
ETRI Journal, Vol 46, Iss 5, Pp 890-903 (2024)
Anomaly detection in video surveillance is crucial but challenging due to the rarity of irregular events and ambiguity of defining anomalies. We propose a method called AONet that utilizes a spatiotemporal module to extract spatio-temporal features e
Externí odkaz:
https://doaj.org/article/6390743dfe4046f2a095884d7cbb8be8
Autor:
Amirian, Soheyla, Carlson, Luke A., Gong, Matthew F., Lohse, Ines, Weiss, Kurt R., Plate, Johannes F., Tafti, Ahmad P.
While artificial intelligence (AI) has made many successful applications in various domains, its adoption in healthcare lags a little bit behind other high-stakes settings. Several factors contribute to this slower uptake, including regulatory framew
Externí odkaz:
http://arxiv.org/abs/2308.04696
Autor:
Littlefield, Nickolas, Plate, Johannes F., Weiss, Kurt R., Lohse, Ines, Chhabra, Avani, Siddiqui, Ismaeel A., Menezes, Zoe, Mastorakos, George, Thakar, Sakshi Mehul, Abedian, Mehrnaz, Gong, Matthew F., Carlson, Luke A., Moradi, Hamidreza, Amirian, Soheyla, Tafti, Ahmad P.
Automatic segmentation of knee bony anatomy is essential in orthopedics, and it has been around for several years in both pre-operative and post-operative settings. While deep learning algorithms have demonstrated exceptional performance in medical i
Externí odkaz:
http://arxiv.org/abs/2308.04356
Autor:
Saeed Sahebdel, Azita Ganji, Sajedeh Alijan Nezhad Baei, Malihe Amirian, Ehsan Mousa Farkhani, Mohammad Ebrahimi, Eisa Nazar, Mohammad Amin Khojastehnezhad, Sadaf Valizadeh
Publikováno v:
BMC Gastroenterology, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Purpose To investigate the odds and associations of pregnancy outcomes with exposure to biopsy-confirmed celiac disease (CD) in Northeast Iran. Methods In this regional retrospective cohort study, pregnancy records of all women with celiac d
Externí odkaz:
https://doaj.org/article/8322163a49294f4bac5e2d832d642b7c
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