Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Akram Bayat"'
Publikováno v:
The Biochemist. 41:10-14
Artificial intelligence (AI) is certainly not a panacea for solving the ‘Pharma Dilemma’, in which the cost of producing new drugs continues to spiral. However, AI can be used to fundamentally change the way we perform essential steps in clinical
Publikováno v:
Medical Imaging 2021: Image Processing.
Deep learning based quantitative assessment of digital pathology images and understanding the underlying reasons for a specific clinical decision is challenging, and automatic histology pattern classification and tumor localization in whole-slide pat
Autor:
Akram Bayat, Harrison Tsai, Tyler Janovitz, Vignesh Shanmugam, Aman Rana, Annacarolina da Silva, Katharine Horback, Marie Lithgow, Alarice C. Lowe, Pratik Shah
Publikováno v:
JAMA Network Open
Key Points Question Can deep learning systems perform hematoxylin and eosin (H&E) staining and destaining and are the virtual core biopsy samples generated by them as valid and interpretable as their real-life unstained and H&E dye–stained counterp
Publikováno v:
CVPR Workshops
In this paper, we study the effects of violating the high level scene syntactic and semantic rules on human eye-movement behavior and deep neural scene and object recognition networks. An eye-movement experimental study was conducted with twenty huma
Autor:
Akram Bayat, Marc Pomplun
Publikováno v:
IPTA
In this paper, we generate two computational models in order to estimate two dominant global properties (naturalness and openness) for representing a scene based on its global spatial structure. Naturalness and openness are two dominant perceptual pr
Autor:
Akram Bayat, Marc Pomplun
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319605906
AHFE (7)
AHFE (7)
This paper describes how to identify unique individual readers using their eye-movement patterns. A case study including forty participants was conducted in order to measure eye movement during reading. The proposed biometric method is developed base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96d41f0fa9efd1f663e487b659723220
https://doi.org/10.1007/978-3-319-60591-3_53
https://doi.org/10.1007/978-3-319-60591-3_53
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319605906
AHFE (7)
AHFE (7)
In this study, we introduce a brand new idea for a user identification task that benefits from an effective fusion scheme that combines eye movement with syntactic and semantic word relationships in a text. We perform eye-movement recordings during r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfd5a9e5056b380b6400d44d1fa3f67b
https://doi.org/10.1007/978-3-319-60591-3_43
https://doi.org/10.1007/978-3-319-60591-3_43
Autor:
Akram Bayat, Marc Pomplun
Publikováno v:
2016 2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS).
This paper aims to show how some eye-tracking variables during reading are affected by various major factors, including individual differences, the difficulty level of the text, and the topic of the text. For this purpose, we conducted an eye-trackin
Publikováno v:
Journal of Vision. 18:1280
Publikováno v:
حیات, Vol 28, Iss 2, Pp 173-183 (2022)
Background & Aim: Tonsillectomy is one of the most common pediatric surgeries. Preoperative anxiety in children is one of the concerns of caregivers, and its management is an important part of nursing care. The aim of this study was to investigate th
Externí odkaz:
https://doaj.org/article/761b8f3ec5e84e5e95844570cf3aaad8