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Chetan Tanaji Rakshe
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Age-and severity-specific deep learning models for autism spectrum disorder classification using functional connectivity measures
V Jain, CT Rakshe, SS Sengar, M Murugappan, JFA Ronickom
Arabian Journal for Science and Engineering 49 (5), 6847-6865, 2024
42024
Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods
C Rakshe, S Kunneth, S Sundaram, M Murugappan, ...
Neural Computing and Applications 36 (20), 12565-12585, 2024
32024
Diagnostic classification of ASD using fractal functional connectivity of fMRI and logistic regression
C Rakshe, S Kunneth, S Sundaram, JF Agastinose Ronickom
Healthcare Transformation with Informatics and Artificial Intelligence, 60-63, 2023
32023
Diagnostic Classification of ASD Improves with Structural Connectivity of DTI and Logistic Regression
R Ratnaik, C Rakshe, M Kumar, JF Agastinose Ronickom
Healthcare Transformation with Informatics and Artificial Intelligence, 64-67, 2023
22023
Advancing ASD diagnostic classification with features of continuous wavelet transform of fMRIand machine learning algorithms
MB Ingle, CT Rakshe, JFA Ronickom
2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine …, 2023
12023
Fine-Tuning EEG Channel Utilization for Emotionally Stimulated Biometric Authentication
C Rakshe, CB Thomas, M Kalathe, VS Sreeraj, G Venkatasubramanian, ...
IEEE Access, 2025
2025
Correction: Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods (Neural Computing and …
C Rakshe, S Kunneth, S Sundaram, M Murugappan, JFA Ronickom
Neural Computing and Applications 36 (20), 12587, 2024
2024
DIAGNOSTIC CLASSIFICATION OF ASD IMPROVES WITH DYNAMIC FC OF FMRI COMPARED TO STATIC FC
S Sood, CT Rakshe, JFA Ronickom
Advancing ASD Diagnostic Classification with features of Continuous Wavelet Transform of fMRI and machine learning algorithms
MB Ingle, JFA Ronickom, CT Rakshe
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