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Sandeep Singh Sengar

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

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Studies in Health Technology and Informatics|May 17, 2025
RepSE-CBAMNet: A Hybrid Attention-Enhanced CNN for Brain Tumor DetectionFarhan Khan, Gerasimos Katsagannis, Sandeep Singh Sengar
Neuroscience|May 7, 2025
Entropy-driven deep learning framework for epilepsy detection using electro encephalogram signalsSandeep Singh Sikarwar, Arun Kumar Rana, Sandeep Singh Sengar
Studies in Health Technology and Informatics|October 23, 2023
Age-Specific Diagnostic Classification of ASD Using Deep Learning ApproachesVaibhav Jain, Sandeep Singh Sengar, Jac Fredo Agastinose Ronickom
Sensors (Basel, Switzerland)|October 27, 2022
Trust-Aware Routing Mechanism through an Edge Node for IoT-Enabled Sensor NetworksAlaa Saleh, Pallavi Joshi, Rajkumar Singh Rathore, et al.
Studies in Health Technology and Informatics|May 17, 2025
Characterizing ASD Subtypes Using Morphological Features from sMRI with Unsupervised LearningAyush Raj, Ravi Ratnaik, Sandeep Singh Sengar, et al.
Diagnostics (Basel, Switzerland)|September 27, 2025
RETRACTED: Hasanin et al. Exploration of Despair Eccentricities Based on Scale Metrics with Feature Sampling Using a Deep Learning Algorithm. <i>Diagnostics</i> 2022, <i>12</i>, 2844Tawfiq Hasanin, Pravin R Kshirsagar, Hariprasath Manoharan, et al.
Diagnostics (Basel, Switzerland)|November 26, 2022
Exploration of Despair Eccentricities Based on Scale Metrics with Feature Sampling Using a Deep Learning AlgorithmTawfiq Hasanin, Pravin R Kshirsagar, Hariprasath Manoharan, 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 3, 2025
Age-Stratified Differences in Morphological Connectivity Patterns in ASD: An sMRI and Machine Learning ApproachGokul Manoj, Pranay Saini, Ravi Ratnaik, et al.
Studies in Health Technology and Informatics|October 23, 2023
A Framework to Diagnose Autism Spectrum Disorder Using Morphological Connectivity of sMRI and XGBoostVaibhavi Gupta, Gokul Manoj, Aditi Bhattacharya, et al.
Pageof 1

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

Sort By:
Pageof 1
Studies in Health Technology and Informatics|May 17, 2025
RepSE-CBAMNet: A Hybrid Attention-Enhanced CNN for Brain Tumor DetectionFarhan Khan, Gerasimos Katsagannis, Sandeep Singh Sengar
Neuroscience|May 7, 2025
Entropy-driven deep learning framework for epilepsy detection using electro encephalogram signalsSandeep Singh Sikarwar, Arun Kumar Rana, Sandeep Singh Sengar
Studies in Health Technology and Informatics|October 23, 2023
Age-Specific Diagnostic Classification of ASD Using Deep Learning ApproachesVaibhav Jain, Sandeep Singh Sengar, Jac Fredo Agastinose Ronickom
Sensors (Basel, Switzerland)|October 27, 2022
Trust-Aware Routing Mechanism through an Edge Node for IoT-Enabled Sensor NetworksAlaa Saleh, Pallavi Joshi, Rajkumar Singh Rathore, et al.
Studies in Health Technology and Informatics|May 17, 2025
Characterizing ASD Subtypes Using Morphological Features from sMRI with Unsupervised LearningAyush Raj, Ravi Ratnaik, Sandeep Singh Sengar, et al.
Diagnostics (Basel, Switzerland)|September 27, 2025
RETRACTED: Hasanin et al. Exploration of Despair Eccentricities Based on Scale Metrics with Feature Sampling Using a Deep Learning Algorithm. <i>Diagnostics</i> 2022, <i>12</i>, 2844Tawfiq Hasanin, Pravin R Kshirsagar, Hariprasath Manoharan, et al.
Diagnostics (Basel, Switzerland)|November 26, 2022
Exploration of Despair Eccentricities Based on Scale Metrics with Feature Sampling Using a Deep Learning AlgorithmTawfiq Hasanin, Pravin R Kshirsagar, Hariprasath Manoharan, 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 3, 2025
Age-Stratified Differences in Morphological Connectivity Patterns in ASD: An sMRI and Machine Learning ApproachGokul Manoj, Pranay Saini, Ravi Ratnaik, et al.
Studies in Health Technology and Informatics|October 23, 2023
A Framework to Diagnose Autism Spectrum Disorder Using Morphological Connectivity of sMRI and XGBoostVaibhavi Gupta, Gokul Manoj, Aditi Bhattacharya, et al.
Pageof 1