SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach von Mousavi, Sajad, Afghah, Fatemeh, Acharya, U Rajendra

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A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension von Sharma, Manish, Pachori, Ram Bilas, Rajendra Acharya, U.

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Automated detection of COVID-19 cases using deep neural networks with X-ray images von Ozturk, Tulin, Talo, Muhammed, Yildirim, Eylul Azra, Baloglu, Ulas Baran, Yildirim, Ozal, Rajendra Acharya, U.

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Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals von Michielli, Nicola, Acharya, U. Rajendra, Molinari, Filippo

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Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals von Tuncer, Turker, Dogan, Sengul, Pławiak, Paweł, Rajendra Acharya, U.

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Application of deep transfer learning for automated brain abnormality classification using MR images von Talo, Muhammed, Baloglu, Ulas Baran, Yıldırım, Özal, Rajendra Acharya, U

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Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks von Ardakani, Ali Abbasian, Kanafi, Alireza Rajabzadeh, Acharya, U. Rajendra, Khadem, Nazanin, Mohammadi, Afshin

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Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals von Acharya, U. Rajendra, Oh, Shu Lih, Hagiwara, Yuki, Tan, Jen Hong, Adeli, Hojjat

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Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring von Pławiak, Paweł, Abdar, Moloud, Rajendra Acharya, U.

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Deep learning for healthcare applications based on physiological signals: A review von Faust, Oliver, Hagiwara, Yuki, Hong, Tan Jen, Lih, Oh Shu, Acharya, U Rajendra

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HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks von Mousavi, Sajad, Afghah, Fatemeh, Acharya, U. Rajendra

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Automatic Sleep-Stage Scoring in Healthy and Sleep Disorder Patients Using Optimal Wavelet Filter Bank Technique with EEG Signals von Sharma, Manish, Tiwari, Jainendra, Acharya, U. Rajendra

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A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals von Yildirim, Ozal, Baloglu, Ulas Baran, Acharya, U Rajendra

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Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images von Raghavendra, U, Fujita, Hamido, Bhandary, Sulatha V, Gudigar, Anjan, Tan, Jen Hong, Acharya, U Rajendra

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Automated EEG-based screening of depression using deep convolutional neural network von Acharya, U. Rajendra, Oh, Shu Lih, Hagiwara, Yuki, Tan, Jen Hong, Adeli, Hojjat, Subha, D. P

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Tetromino pattern based accurate EEG emotion classification model von Tuncer, Turker, Dogan, Sengul, Baygin, Mehmet, Rajendra Acharya, U.

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Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders von Raghavendra, U., Acharya, U. Rajendra, Adeli, Hojjat

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Application of artificial intelligence in wearable devices: Opportunities and challenges von Nahavandi, Darius, Alizadehsani, Roohallah, Khosravi, Abbas, Acharya, U Rajendra

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A new approach for arrhythmia classification using deep coded features and LSTM networks von Yildirim, Ozal, Baloglu, Ulas Baran, Tan, Ru-San, Ciaccio, Edward J., Acharya, U. Rajendra

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A novel Parkinson’s Disease Diagnosis Index using higher-order spectra features in EEG signals von Yuvaraj, Rajamanickam, Rajendra Acharya, U., Hagiwara, Yuki

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