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Arko Barman

Showing results (1-10 of 9) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|October 1, 2019
A Graph-Based Approach for Making Consensus-Based Decisions in Image Search and Person Re-IdentificationArko Barman, Shishir K Shah
JMIR Medical Informatics|July 13, 2021
Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful ImplementationKatie Hogan, Briana Macedo, Venkata Macha, et al.
NPJ Genomic Medicine|June 14, 2025
Integrating explainable machine learning and transcriptomics data reveals cell-type specific immune signatures underlying macular degenerationKhang Ma, Hosei Nakajima, Nipa Basak, et al.
Journal of Digital Imaging|May 24, 2021
Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation WorkflowKendall J Kiser, Arko Barman, Sonja Stieb, et al.
Frontiers in Neuroscience|October 23, 2019
Quantifying Neurodegenerative Progression With DeepSymNet, an End-to-End Data-Driven ApproachDanilo Pena, Arko Barman, Jessika Suescun, et al.
Laboratory Animals|February 14, 2024
Bibliometric analysis on cannibalism/infanticide and maternal aggression towards pups in laboratory rodentsJosé C Bravo, Lierni Ugartemendia, Arko Barman, et al.
Stroke|September 25, 2019
Machine Learning-Enabled Automated Determination of Acute Ischemic Core From Computed Tomography AngiographySunil A Sheth, Victor Lopez-Rivera, Arko Barman, et al.
Medical Physics|August 5, 2020
PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelinesKendall J Kiser, Sara Ahmed, Sonja Stieb, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|September 17, 2022
End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary studyShujuan Meng, Thi My Linh Tran, Mingzhe Hu, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 1, 2019
A Graph-Based Approach for Making Consensus-Based Decisions in Image Search and Person Re-IdentificationArko Barman, Shishir K Shah
JMIR Medical Informatics|July 13, 2021
Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful ImplementationKatie Hogan, Briana Macedo, Venkata Macha, et al.
NPJ Genomic Medicine|June 14, 2025
Integrating explainable machine learning and transcriptomics data reveals cell-type specific immune signatures underlying macular degenerationKhang Ma, Hosei Nakajima, Nipa Basak, et al.
Journal of Digital Imaging|May 24, 2021
Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation WorkflowKendall J Kiser, Arko Barman, Sonja Stieb, et al.
Frontiers in Neuroscience|October 23, 2019
Quantifying Neurodegenerative Progression With DeepSymNet, an End-to-End Data-Driven ApproachDanilo Pena, Arko Barman, Jessika Suescun, et al.
Laboratory Animals|February 14, 2024
Bibliometric analysis on cannibalism/infanticide and maternal aggression towards pups in laboratory rodentsJosé C Bravo, Lierni Ugartemendia, Arko Barman, et al.
Stroke|September 25, 2019
Machine Learning-Enabled Automated Determination of Acute Ischemic Core From Computed Tomography AngiographySunil A Sheth, Victor Lopez-Rivera, Arko Barman, et al.
Medical Physics|August 5, 2020
PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelinesKendall J Kiser, Sara Ahmed, Sonja Stieb, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|September 17, 2022
End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary studyShujuan Meng, Thi My Linh Tran, Mingzhe Hu, et al.
Pageof 1