Výsledky vyhledávání - "Barnett, Michael A."

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A Run on Fossil Fuel? Climate Change and Transition Risk

Autor: Barnett, Michael

I study the dynamic, general equilibrium implications of climate-change-linked transition risk on macroeconomic outcomes and asset prices. Climate-change-linked expectations of fossil fuel restrictions can produce a ``run on fossil fuels'' with accel

Externí odkaz: http://arxiv.org/abs/2410.00902

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Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging

Autor: Chen, Sheng, Tang, Zihao, Cabezas, Mariano, Wang, Xinyi, D'Souza, Arkiev, Barnett, Michael, Calamante, Fernando, Cai, Weidong, Wang, Chenyu

Diffusion-weighted imaging (DWI) is a type of Magnetic Resonance Imaging (MRI) technique sensitised to the diffusivity of water molecules, offering the capability to inspect tissue microstructures and is the only in-vivo method to reconstruct white m

Externí odkaz: http://arxiv.org/abs/2409.07186

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Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

Autor: Ma, Yang, Wang, Dongang, Liu, Peilin, Masters, Lynette, Barnett, Michael, Cai, Weidong, Wang, Chenyu

The heterogeneity of neurological conditions, ranging from structural anomalies to functional impairments, presents a significant challenge in medical imaging analysis tasks. Moreover, the limited availability of well-annotated datasets constrains th

Externí odkaz: http://arxiv.org/abs/2407.08948

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How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks

Autor: Wang, Dongang, Liu, Peilin, Wang, Hengrui, Beadnall, Heidi, Kyle, Kain, Ly, Linda, Cabezas, Mariano, Zhan, Geng, Sullivan, Ryan, Cai, Weidong, Ouyang, Wanli, Calamante, Fernando, Barnett, Michael, Wang, Chenyu

Training deep neural networks reliably requires access to large-scale datasets. However, obtaining such datasets can be challenging, especially in the context of neuroimaging analysis tasks, where the cost associated with image acquisition and annota

Externí odkaz: http://arxiv.org/abs/2404.03451

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Akademický článek

HASHING OUT HASHTAGS: EMPTY SIGNIFIERS OFFER EMPTY PROMISES OF GREATER STAKEHOLDER INFLUENCE IN THE DIGITAL AGE.

Autor: BARNETT, MICHAEL L. (AUTHOR) mbarnett@business.rutgers.edu, HENRIQUES, IRENE (AUTHOR) ihenriques@schulich.yorku.ca, HUSTED, BRYAN W. (AUTHOR) bhusted@tec.mx

Publikováno v: Academy of Management Perspectives. Aug2024, Vol. 38 Issue 3, p448-455. 8p. 1 Diagram.