Rajendra Acharya

Convolutional neural networks for multi-class brain disease detection using MRI images

U. Rajendra Acharya, Galip Aydin, Ulas Baran Baloglu, 2019, Comput. Medical Imaging Graph..

A Smart Service Platform for Cost Efficient Cardiac Health Monitoring

U Rajendra Acharya, Oliver Faust, Edward J Ciaccio, 2020, International journal of environmental research and public health.

Deep Convolutional Neural Network Model for Automated Diagnosis of Schizophrenia Using EEG Signals

U. Rajendra Acharya, Edward J. Ciaccio, Shu Lih Oh, 2019, Applied Sciences.

Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals

Subha D. Puthankattil, U. Acharya, Ozal Yildirim, 2019, Journal of Medical Systems.

Deep learning for healthcare applications based on physiological signals: A review

U. Rajendra Acharya, Oliver Faust, Yuki Hagiwara, 2018, Comput. Methods Programs Biomed..

Automated detection of atrial fibrillation using long short-term memory network with RR interval signals

U. Rajendra Acharya, Oliver Faust, Hamido Fujita, 2018, Comput. Biol. Medicine.

A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study

M. De Marsico, U. Acharya, A. Ardakani, 2021, Pattern Recognition Letters.

Hybrid Decision Support to Monitor Atrial Fibrillation for Stroke Prevention

U. Acharya, O. Faust, S. K. Moon, 2021, International journal of environmental research and public health.

ECG Language processing (ELP): A new technique to analyze ECG signals

U. Rajendra Acharya, Fatemeh Afghah, Sajad Mousavi, 2020, Comput. Methods Programs Biomed..

Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space

P. Barua, Subrata Chakraborty, M. Fallahpoor, 2023, Comput. Methods Programs Biomed..