Seedahmed S. Mahmoud

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Akshay Kumar

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Publications

2023
[j20]
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Seedahmed S. Mahmoud, Raphael F. Pallaud, Akshay Kumar, Serri Faisal, Yin Wang, Qiang Fang:
A Comparative Investigation of Automatic Speech Recognition Platforms for Aphasia Assessment Batteries. Sensors 23(2): 857 (2023)
[c8]
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  - conf/biocas/RenMKFY23
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Guihong Ren, Seedahmed S. Mahmoud, Akshay Kumar, Qiang Fang, Boyuan Yu:
A Transformer Encoder and Convolutional Neural Network Combined Method for Classification of Error-related Potentials. BioCAS 2023: 1-5
2022
[j17]
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Akshay Kumar, Lin Gao, Jiaming Li, Jiaxin Ma, Jianming Fu, Xudong Gu, Seedahmed S. Mahmoud, Qiang Fang:
Error-Related Negativity-Based Robot-Assisted Stroke Rehabilitation System: Design and Proof-of-Concept. Frontiers Neurorobotics 16: 837119 (2022)
[c6]
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Akshay Kumar, Seedahmed S. Mahmoud, Yin Wang, Serri Faisal, Qiang Fang:
A Comparison of Time-Frequency Distributions for Deep Learning-Based Speech Assessment of Aphasic Patients. HSI 2022: 1-5
2021
[j14]
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Seedahmed S. Mahmoud, Akshay Kumar, Youcun Li, Yiting Tang, Qiang Fang:
Performance Evaluation of Machine Learning Frameworks for Aphasia Assessment. Sensors 21(8): 2582 (2021)
[c5]
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  - conf/embc/HuangTKMGF21
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Ziyang Huang, Guoliang Tang, Akshay Kumar, Seedahmed S. Mahmoud, Ping Ge, Qiang Fang:
A Kinematic Data Based Lower Limb Motor Function Evaluation Method for Post-Stroke Rehabilitation. EMBC 2021: 7288-7291
2020
[j13]
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  - journals/access/FangMKGF20
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Qiang Fang, Seedahmed S. Mahmoud, Akshay Kumar, Xudong Gu, Jianming Fu:
A Longitudinal Investigation of the Efficacy of Supported In-Home Post-Stroke Rehabilitation. IEEE Access 8: 138690-138700 (2020)
[j12]
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Seedahmed S. Mahmoud, Akshay Kumar, Yiting Tang, Youcun Li, Xudong Gu, Jianming Fu, Qiang Fang:
An Efficient Deep Learning Based Method for Speech Assessment of Mandarin-Speaking Aphasic Patients. IEEE J. Biomed. Health Informatics 24(11): 3191-3202 (2020)

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