Tahereh Kamali
Orcid: 0000-0002-7455-9013
  According to our database1,
  Tahereh Kamali
  authored at least 8 papers
  between 2016 and 2023.
  
  
Collaborative distances:
Collaborative distances:
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Bibliography
  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 Networks.
    
  
    Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
    
  
  2022
Cognitive Impairment Analysis of Myotonic Dystrophy via Weakly Supervised Classification of Neuropsychological Features.
    
  
    Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
    
  
  2021
Toward Developing Robust Myotonic Dystrophy Brain Biomarkers using White Matter Tract Profiles Sub-Band Energy and A Framework of Ensemble Predictive Learning.
    
  
    Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
    
  
  2020
Discovering Density-Based Clustering Structures Using Neighborhood Distance Entropy Consistency.
    
  
    IEEE Trans. Comput. Soc. Syst., 2020
    
  
Diagnosis of Myotonic Dystrophy Based on Resting State fMRI Using Convolutional Neural Networks.
    
  
    Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
    
  
  2018
A Multiple Instance Learning Approach to Electrophysiological Muscle Classification for Diagnosing Neuromuscular Disorders Using Quantitative EMG.
    
  
    PhD thesis, 2018
    
  
Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain Analysis.
    
  
    IEEE Trans. Biomed. Eng., 2018
    
  
  2016
Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithm.
    
  
    Artif. Intell. Medicine, 2016