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M Murugappan

Showing results (11-20 of 26) with videos related to

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Neural Computing & Applications|June 5, 2023
Automated semantic lung segmentation in chest CT images using deep neural networkM Murugappan, Ali K Bourisly, N B Prakash, et al.
Behavioural Brain Research|October 31, 2015
Brain functional connectivity patterns for emotional state classification in Parkinson's disease patients without dementiaR Yuvaraj, M Murugappan, U Rajendra Acharya, et al.
Physical and Engineering Sciences in Medicine|March 28, 2024
PE-Ynet: a novel attention-based multi-task model for pulmonary embolism detection using CT pulmonary angiography (CTPA) scan imagesG R Hemalakshmi, M Murugappan, Mohamed Yacin Sikkandar, et al.
International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology|August 12, 2014
Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's diseaseR Yuvaraj, M Murugappan, Norlinah Mohamed Ibrahim, et al.
The International Journal of Neuroscience|October 31, 2013
Emotion processing in Parkinson's disease: an EEG spectral power studyR Yuvaraj, M Murugappan, Mohd Iqbal Omar, et al.
Journal of Imaging Informatics in Medicine|February 6, 2025
Automating Prostate Cancer Grading: A Novel Deep Learning Framework for Automatic Prostate Cancer Grade Assessment using Classification and SegmentationSaidul Kabir, Rusab Sarmun, Rafif Mahmood Al Saady, et al.
Journal of Integrative Neuroscience|April 18, 2014
Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: a comparative studyR Yuvaraj, M Murugappan, Norlinah Mohamed Ibrahim, et al.
Journal of Neural Transmission (Vienna, Austria : 1996)|June 5, 2014
Inter-hemispheric EEG coherence analysis in Parkinson's disease: assessing brain activity during emotion processingR Yuvaraj, M Murugappan, Norlinah Mohamed Ibrahim, et al.
Scientific Reports|April 10, 2026
Hybrid CNN-decision tree framework for efficient transmission line fault detection and classification: an XAI-based approachAnish Kumar Biswas, Md Faysal Ahamed, Fariya Bintay Shafi, et al.
Diagnostics (Basel, Switzerland)|June 10, 2023
Heart Failure Emergency Readmission Prediction Using Stacking Machine Learning ModelMd Sohanur Rahman, Hasib Ryan Rahman, Johayra Prithula, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
Neural Computing & Applications|June 5, 2023
Automated semantic lung segmentation in chest CT images using deep neural networkM Murugappan, Ali K Bourisly, N B Prakash, et al.
Behavioural Brain Research|October 31, 2015
Brain functional connectivity patterns for emotional state classification in Parkinson's disease patients without dementiaR Yuvaraj, M Murugappan, U Rajendra Acharya, et al.
Physical and Engineering Sciences in Medicine|March 28, 2024
PE-Ynet: a novel attention-based multi-task model for pulmonary embolism detection using CT pulmonary angiography (CTPA) scan imagesG R Hemalakshmi, M Murugappan, Mohamed Yacin Sikkandar, et al.
International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology|August 12, 2014
Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's diseaseR Yuvaraj, M Murugappan, Norlinah Mohamed Ibrahim, et al.
The International Journal of Neuroscience|October 31, 2013
Emotion processing in Parkinson's disease: an EEG spectral power studyR Yuvaraj, M Murugappan, Mohd Iqbal Omar, et al.
Journal of Imaging Informatics in Medicine|February 6, 2025
Automating Prostate Cancer Grading: A Novel Deep Learning Framework for Automatic Prostate Cancer Grade Assessment using Classification and SegmentationSaidul Kabir, Rusab Sarmun, Rafif Mahmood Al Saady, et al.
Journal of Integrative Neuroscience|April 18, 2014
Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: a comparative studyR Yuvaraj, M Murugappan, Norlinah Mohamed Ibrahim, et al.
Journal of Neural Transmission (Vienna, Austria : 1996)|June 5, 2014
Inter-hemispheric EEG coherence analysis in Parkinson's disease: assessing brain activity during emotion processingR Yuvaraj, M Murugappan, Norlinah Mohamed Ibrahim, et al.
Scientific Reports|April 10, 2026
Hybrid CNN-decision tree framework for efficient transmission line fault detection and classification: an XAI-based approachAnish Kumar Biswas, Md Faysal Ahamed, Fariya Bintay Shafi, et al.
Diagnostics (Basel, Switzerland)|June 10, 2023
Heart Failure Emergency Readmission Prediction Using Stacking Machine Learning ModelMd Sohanur Rahman, Hasib Ryan Rahman, Johayra Prithula, et al.
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