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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A deep learning approach for Parkinson’s disease diagnosis from EEG signals von Oh, Shu Lih, Hagiwara, Yuki, Raghavendra, U., Yuvaraj, Rajamanickam, Arunkumar, N., Murugappan, M., Acharya, U. Rajendra

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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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Automated emotion recognition: Current trends and future perspectives von Maithri, M., Raghavendra, U., Gudigar, Anjan, Samanth, Jyothi, Prabal Datta Barua, Murugappan, Murugappan, Chakole, Yashas, Acharya, U. Rajendra

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Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network von Acharya, U. Rajendra, Fujita, Hamido, Oh, Shu Lih, Raghavendra, U., Tan, Jen Hong, Adam, Muhammad, Gertych, Arkadiusz, Hagiwara, Yuki

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Role of Artificial Intelligence in COVID-19 Detection von Gudigar, Anjan, Raghavendra, U, Nayak, Sneha, Ooi, Chui Ping, Chan, Wai Yee, Gangavarapu, Mokshagna Rohit, Dharmik, Chinmay, Samanth, Jyothi, Kadri, Nahrizul Adib, Hasikin, Khairunnisa, Barua, Prabal Datta, Chakraborty, Subrata, Ciaccio, Edward J, Acharya, U Rajendra

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A review on automatic detection and recognition of traffic sign von Gudigar, Anjan, Chokkadi, Shreesha, U, Raghavendra

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Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study von Gudigar, Anjan, Raghavendra, U., San, Tan Ru, Ciaccio, Edward J., Acharya, U. Rajendra

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Automated Characterization of Fatty Liver Disease and Cirrhosis Using Curvelet Transform and Entropy Features Extracted from Ultrasound Images von Acharya, U Rajendra, Raghavendra, U, Fujita, Hamido, Hagiwara, Yuki, Koh, Joel EW, Hong, Tan Jen, Sudarshan, Vidya K, Vijayananthan, Anushya, Yeong, Chai Hong, Gudigar, Anjan, Ng, Kwan Hoong

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Local texture patterns for traffic sign recognition using higher order spectra von Gudigar, Anjan, Chokkadi, Shreesha, Raghavendra, U., Acharya, U. Rajendra

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Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study von Gudigar, Anjan, Raghavendra, U., Ciaccio, Edward J., Arunkumar, N., Abdulhay, Enas, Acharya, U. Rajendra

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Automated Detection and Screening of Traumatic Brain Injury (TBI) Using Computed Tomography Images: A Comprehensive Review and Future Perspectives von Vidhya, V., Gudigar, Anjan, Raghavendra, U., Hegde, Ajay, Menon, Girish R., Molinari, Filippo, Ciaccio, Edward J., Acharya, U. Rajendra

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Motion pattern-based crowd scene classification using histogram of angular deviations of trajectories von Pai, Abhilash K., Chandrahasan, Prahaladh, Raghavendra, U., Karunakar, A. K.

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Global weighted LBP based entropy features for the assessment of pulmonary hypertension von Gudigar, Anjan, Raghavendra, U, Devasia, Tom, Nayak, Krishnananda, Danish, Sheik Mohammed, Kamath, Gautam, Samanth, Jyothi, Pai, Umesh M, Nayak, Vidya, Tan, Ru San, Ciaccio, Edward J, Acharya, U Rajendra

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An efficient traffic sign recognition based on graph embedding features von Gudigar, Anjan, Chokkadi, Shreesha, Raghavendra, U., Acharya, U. Rajendra

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Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesions von Raghavendra, U., Rajendra Acharya, U., Gudigar, Anjan, Hong Tan, Jen, Fujita, Hamido, Hagiwara, Yuki, Molinari, Filippo, Kongmebhol, Pailin, Hoong Ng, Kwan

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Brain pathology identification using computer aided diagnostic tool: A systematic review von Gudigar, Anjan, Raghavendra, U., Hegde, Ajay, Kalyani, M., Ciaccio, Edward J., Rajendra Acharya, U.

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Characterization and classification of ductal carcinoma tissue using four channel based stokes-mueller polarimetry and machine learning von KU, Spandana, Kaniyala Melanthota, Sindhoora, U, Raghavendra, Rai, Sharada, Mahato, K. K., Mazumder, Nirmal

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Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives von Raghavendra, U., Gudigar, Anjan, Paul, Aritra, Goutham, T.S., Inamdar, Mahesh Anil, Hegde, Ajay, Devi, Aruna, Ooi, Chui Ping, Deo, Ravinesh C., Barua, Prabal Datta, Molinari, Filippo, Ciaccio, Edward J., Acharya, U. Rajendra

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Retraction Note: Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound images von Raghavendra, U., Acharya, U. Rajendra, Gudigar, Anjan, Shetty, Ranjan, Krishnananda, N., Pai, Umesh, Samanth, Jyothi, Nayak, Chaithra

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