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Tahereh Kamali

Showing results (1-10 of 11) with videos related to

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Artificial Intelligence in Medicine|December 8, 2016
Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithmTahereh Kamali, Daniel Stashuk
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain AnalysisTahereh Kamali, Daniel W Stashuk
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 10, 2020
Transparent Electrophysiological Muscle Classification From EMG Signals Using Fuzzy-Based Multiple Instance LearningTahereh Kamali, Daniel W Stashuk
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2017
A Density-Based Clustering Approach to Motor Unit Potential Characterizations to Support Diagnosis of Neuromuscular DisordersTahereh Kamali, Daniel W Stashuk
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 23, 2013
A Multi-Classifier Approach to MUAP Classification for Diagnosis of Neuromuscular DisordersTahereh Kamali, Reza Boostani, Hossein Parsaei
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Toward Developing Robust Myotonic Dystrophy Brain Biomarkers using White Matter Tract Profiles Sub-Band Energy and A Framework of Ensemble Predictive LearningTahereh Kamali, Dana Parker, John W Day, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Diagnosis of Myotonic Dystrophy Based on Resting State fMRI Using Convolutional Neural NetworksTahereh Kamali, Katharine A Hagerman, John W Day, et al.
Frontiers in Neuroscience|December 12, 2025
Cerebrospinal fluid proteomic profiling reveals potential biomarkers and altered pathways in myotonic dystrophy type 1Marwa Zafarullah, Tahereh Kamali, Katharine A Hagerman, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Cognitive Impairment Analysis of Myotonic Dystrophy via Weakly Supervised Classification of Neuropsychological FeaturesTahereh Kamali, Gayle K Deutsch, Katharine A Hagerman, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Learning Spectral Fractional Anisotropy and Mean Diffusivity Features as Neuroimaging Biomarkers for Tracking White Matter Integrity Changes in Myotonic Dystrophy Type 1 Patients using Deep Convolutional Neural NetworksTahereh Kamali, John W Day, Gayle K Deutsch, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Artificial Intelligence in Medicine|December 8, 2016
Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithmTahereh Kamali, Daniel Stashuk
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain AnalysisTahereh Kamali, Daniel W Stashuk
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 10, 2020
Transparent Electrophysiological Muscle Classification From EMG Signals Using Fuzzy-Based Multiple Instance LearningTahereh Kamali, Daniel W Stashuk
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2017
A Density-Based Clustering Approach to Motor Unit Potential Characterizations to Support Diagnosis of Neuromuscular DisordersTahereh Kamali, Daniel W Stashuk
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 23, 2013
A Multi-Classifier Approach to MUAP Classification for Diagnosis of Neuromuscular DisordersTahereh Kamali, Reza Boostani, Hossein Parsaei
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Toward Developing Robust Myotonic Dystrophy Brain Biomarkers using White Matter Tract Profiles Sub-Band Energy and A Framework of Ensemble Predictive LearningTahereh Kamali, Dana Parker, John W Day, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Diagnosis of Myotonic Dystrophy Based on Resting State fMRI Using Convolutional Neural NetworksTahereh Kamali, Katharine A Hagerman, John W Day, et al.
Frontiers in Neuroscience|December 12, 2025
Cerebrospinal fluid proteomic profiling reveals potential biomarkers and altered pathways in myotonic dystrophy type 1Marwa Zafarullah, Tahereh Kamali, Katharine A Hagerman, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Cognitive Impairment Analysis of Myotonic Dystrophy via Weakly Supervised Classification of Neuropsychological FeaturesTahereh Kamali, Gayle K Deutsch, Katharine A Hagerman, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Learning Spectral Fractional Anisotropy and Mean Diffusivity Features as Neuroimaging Biomarkers for Tracking White Matter Integrity Changes in Myotonic Dystrophy Type 1 Patients using Deep Convolutional Neural NetworksTahereh Kamali, John W Day, Gayle K Deutsch, et al.
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