Yashar Kiarashi
Georgia Institute of Technology
24 Papers
12 Citations
Yashar Kiarashi is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Computer science & Nanophotonics. The author has an hindex of 2, co-authored 5 publications.
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Papers
Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022
Matthew A. Reyna,Yashar Kiarashi,Andoni Elola,Jorge Oliveira,Francesca Vera Renna,Annie Gu,Erick A. Perez-Alday,Nadi Sadr,A. Sharma,Sônia Mattos,Miguel Coimbra,Reza Sameni,Ali Bahrami Rad,Gari D. Clifford +13 more
- 16 Aug 2022
TL;DR: A cost-based evaluation metric is devised that captures the costs of screening, treatment, and diagnostic errors, allowing us to investigate the benefits of algorithmic pre-screening and facilitate the development of more clinically relevant algorithms.
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•Posted Content
Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity.
Zhongjian Mou,Mohammadreza Zandehshahvar,Yashar Kiarashi,Muliang Zhu,Hossein Maleki,Tyler Brown,Ali Adibi +6 more
TL;DR: In this paper, a manifold learning approach based on manifold learning for knowledge discovery and inverse design with minimal complexity in photonic nanostructures is presented. But it is limited to pre-selected and usually over-complex structures.
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COVID-19 pneumonia chest radiographic severity score: Variability assessment among experienced and In-training radiologists and creation of a Multi-reader composite score database for artificial intelligence algorithm development.
Marly van Assen,Mohammadreza Zandehshahvar,Hossein Maleki,Yashar Kiarashi,Timothy Arleo,Arthur E. Stillman,Peter D. Filev,Amir H. Davarpanah,Eugene Berkowitz,Stefan Tigges,Scott J. Lee,Brianna L. Vey,Ali Adibi,Carlo N. De Cecco +13 more
TL;DR: Experienced and in-training radiologists demonstrate good inter and intra observer agreement in COVID-19 pneumonia severity classification and create a multi reader database suitable for AI development.
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Indoor Localization and Multi-person Tracking Using Privacy Preserving Distributed Camera Network with Edge Computing
Hyeokhyen Kwon,Yashar Kiarashi,Venkata Ramya Krishna Madala,ArjunSinh Nakum,R.N. Tweedy,Leandro Miletto Tonetto,Craig Zimring,Gari D. Clifford +7 more
TL;DR: In this article , the authors present an open-source, low-cost, scalable and privacy-preserving edge computing framework for multi-person localization, i.e., estimating the positions, orientations, and trajectories of multiple people in an indoor space.
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Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth Technology
Yashar Kiarashi,Soheil Saghafi,Barun Das,Chaitra Hegde,Venkata Siva Krishna Madala,ArjunSinh Nakum,Ratan Singh,Robert Tweedy,Matthew Doiron,Amy D. Rodriguez,Allan I. Levey,Gari D. Clifford,Hyeokhyen Kwon +12 more
- 30 Nov 2023
TL;DR: The experimental results suggest that an ordinary medical facility can be transformed into a smart space that enables automatic assessment of individuals’ movements, which may reflect health status or response to treatment.
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