Publications by authors named "Michael Pazzani"

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Explainable Severity Ranking via Pairwise n-Hidden Comparison: Case Study of Glaucoma.
Hong Nguyen, Cuong V Nguyen, Shrikanth Narayanan, Benjamin J Xu, Michael Pazzani

Annu Int Conf IEEE Eng Med Biol Soc· July 2025

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Comparison of Deep Learning and Clinician Performance for Detecting Referable Glaucoma from Fundus Photographs in a Safety Net Population.
Van Nguyen, Sreenidhi Iyengar, Haroon Rasheed, Galo Apolo, Zhiwei Li, Michael Pazzani

Ophthalmol Sci· February 2025

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Expert-Level Detection of Referable Glaucoma from Fundus Photographs in a Safety Net Population: The AI and Teleophthalmology in Los Angeles Initiative.
Van Nguyen, Sreenidhi Iyengar, Haroon Rasheed, Galo Apolo, Zhiwei Li, Michael Pazzani

medRxiv· August 2024

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Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization.
Rui Fan, Kamran Alipour, Christopher Bowd, Mark Christopher, Nicole Brye, Michael Pazzani

Ophthalmol Sci· March 2023

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A Comprehensive Explanation Framework for Biomedical Time Series Classification.
Praharsh Ivaturi, Matteo Gadaleta, Amitabh C Pandey, Michael Pazzani, Steven R Steinhubl

IEEE J Biomed Health Inform· July 2021

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Indexing Multivariate Mobile Data through Spatio-Temporal Event Detection and Clustering.
Reza Rawassizadeh, Chelsea Dobbins, Mohammad Akbari, Michael Pazzani

Sensors (Basel)· January 2019

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Energy-Efficient Integration of Continuous Context Sensing and Prediction into Smartwatches.
Reza Rawassizadeh, Martin Tomitsch, Manouchehr Nourizadeh, Elaheh Momeni, Aaron Peery, Michael Pazzani

Sensors (Basel)· September 2015

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