Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDU. Rajendra Acharya
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[j297]Shu Lih Oh, Jahmunah Vicnesh, Ru San Tan, Edward J. Ciaccio, Toshitaka Yamakawa, Masayuki Tanabe, Makiko Kobayashi, Oliver Faust
, U. Rajendra Acharya:
Comprehensive electrocardiographic diagnosis based on deep learning. Artif. Intell. Medicine 103: 101789 (2020)- [j296]Desmond Chuang Kiat Soh, E. Y. K. Ng, V. Jahmunah, Shu Lih Oh, Ru San Tan, U. Rajendra Acharya:
A computational intelligence tool for the detection of hypertension using empirical mode decomposition. Comput. Biol. Medicine 118: 103630 (2020) - [j295]Samit Kumar Ghosh, R. N. Ponnalagu, R. K. Tripathy, U. Rajendra Acharya:
Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals. Comput. Biol. Medicine 118: 103632 (2020) - [j294]Shivani Dhok, Varad Pimpalkhute, Ambarish Chandurkar, Ankit A. Bhurane, Manish Sharma, U. Rajendra Acharya:
Automated phase classification in cyclic alternating patterns in sleep stages using Wigner-Ville Distribution based features. Comput. Biol. Medicine 119: 103691 (2020) - [j293]Joel Koh En Wei, U. Raghavendra, Anjan Gudigar, Ooi Chui Ping, Filippo Molinari, Samarth Mishra, Sinnakaruppan Mathavan, Rajiv Raman, U. Rajendra Acharya:
A novel hybrid approach for automated detection of retinal detachment using ultrasound images. Comput. Biol. Medicine 120: 103704 (2020) - [j292]Fatma Murat, Özal Yildirim, Muhammed Talo, Ulas Baran Baloglu, Yakup Demir, U. Rajendra Acharya:
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review. Comput. Biol. Medicine 120: 103726 (2020) - [j291]Ashish Sharma, Niranjan Garg, Shivnarayan Patidar, Ru San Tan, U. Rajendra Acharya:
Automated pre-screening of arrhythmia using hybrid combination of Fourier-Bessel expansion and LSTM. Comput. Biol. Medicine 120: 103753 (2020) - [j290]R. K. Tripathy, Pranjali Gajbhiye, U. Rajendra Acharya:
Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time-frequency analysis. Comput. Biol. Medicine 120: 103769 (2020) - [j289]Tulin Ozturk, Muhammed Talo, Eylul Azra Yildirim, Ulas Baran Baloglu, Özal Yildirim, U. Rajendra Acharya:
Automated detection of COVID-19 cases using deep neural networks with X-ray images. Comput. Biol. Medicine 121: 103792 (2020) - [j288]Ali Abbasian Ardakani, Alireza Rajabzadeh Kanafi, U. Rajendra Acharya, Nazanin Khadem, Afshin Mohammadi:
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks. Comput. Biol. Medicine 121: 103795 (2020) - [j287]Jaypal Singh Rajput, Manish Sharma, Ru San Tan, U. Rajendra Acharya:
Automated detection of severity of hypertension ECG signals using an optimal bi-orthogonal wavelet filter bank. Comput. Biol. Medicine 123: 103924 (2020) - [j286]Rohan Panda, Sahil Jain, R. K. Tripathy, U. Rajendra Acharya:
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network. Comput. Biol. Medicine 124: 103939 (2020) - [j285]Xiaoxi Kang, Dini Oktarina Dwi Handayani, Pei Pei Chong, U. Rajendra Acharya:
Profiling of pornography addiction among children using EEG signals: A systematic literature review. Comput. Biol. Medicine 125: 103970 (2020) - [j284]Desmond Chuang Kiat Soh, E. Y. K. Ng, V. Jahmunah, Shu Lih Oh, Ru San Tan, U. Rajendra Acharya:
Automated diagnostic tool for hypertension using convolutional neural network. Comput. Biol. Medicine 126: 103999 (2020) - [j283]Anjan Gudigar, U. Raghavendra, Ajay Hegde, M. Kalyani, Edward J. Ciaccio, U. Rajendra Acharya:
Brain pathology identification using computer aided diagnostic tool: A systematic review. Comput. Methods Programs Biomed. 187: 105205 (2020) - [j282]Lakshmi Priyankka Alagappan, Joel Koh En Wei, V. Jahmunah, Adhithi Ramesh, Muna Bhende, Rajiv Raman, U. Rajendra Acharya, Sinnakaruppan Mathavan:
Development of an automated system for the detection of genotype in polypoidal choroidal vasculopathy using retinal image phenotype. Comput. Methods Programs Biomed. 192: 105460 (2020) - [j281]Shu Lih Oh, Jahmunah Vicnesh, Ooi Chui Ping, Ru San Tan, Edward J. Ciaccio, Toshitaka Yamakawa, Masayuki Tanabe, Makiko Kobayashi, U. Rajendra Acharya:
Classification of heart sound signals using a novel deep WaveNet model. Comput. Methods Programs Biomed. 196: 105604 (2020) - [j280]Rajesh Kumar Tripathy, Samit Kumar Ghosh, Pranjali Gajbhiye, U. Rajendra Acharya:
Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals. Entropy 22(10): 1141 (2020) - [j279]U. Rajendra Acharya, Kristen M. Meiburger, Joel E. W. Koh, Edward J. Ciaccio, Jahmunah Vicnesh, Sock Keow Tan, Jeannie Hsiu Ding Wong, Raja Rizal Azman Raja Aman, Kwan Hoong Ng:
Automated detection of calcified plaque using higher-order spectra cumulant technique in computer tomography angiography images. Int. J. Imaging Syst. Technol. 30(2): 285-297 (2020) - [j278]Pawel Plawiak, Moloud Abdar, Joanna Plawiak, Vladimir Makarenkov, U. Rajendra Acharya:
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. Inf. Sci. 516: 401-418 (2020) - [j277]Mohammad Ehsan Basiri, Moloud Abdar, Mehmet Akif Cifci, Shahla Nemati, U. Rajendra Acharya:
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques. Knowl. Based Syst. 198: 105949 (2020) - [j276]Shu Lih Oh, Yuki Hagiwara, U. Raghavendra, Yuvaraj Rajamanickam, Arunkumar N., M. Murugappan, U. Rajendra Acharya:
A deep learning approach for Parkinson's disease diagnosis from EEG signals. Neural Comput. Appl. 32(15): 10927-10933 (2020) - [j275]Pawel Plawiak, U. Rajendra Acharya:
Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals. Neural Comput. Appl. 32(15): 11137-11161 (2020) - [j274]U. Rajendra Acharya, Kristen M. Meiburger, Joel Koh En Wei, Yuki Hagiwara, Shu Lih Oh, Sook Sam Leong, Edward J. Ciaccio, Jeannie Hsiu Ding Wong, Mohammad Nazri Md Shah, Filippo Molinari, Kwan Hoong Ng:
Automated detection of chronic kidney disease using higher-order features and elongated quinary patterns from B-mode ultrasound images. Neural Comput. Appl. 32(15): 11163-11172 (2020) - [j273]Özal Yildirim, Ulas Baran Baloglu, U. Rajendra Acharya:
A deep convolutional neural network model for automated identification of abnormal EEG signals. Neural Comput. Appl. 32(20): 15857-15868 (2020) - [j272]Manish Sharma, Ru San Tan, U. Rajendra Acharya:
Detection of shockable ventricular arrhythmia using optimal orthogonal wavelet filters. Neural Comput. Appl. 32(20): 15869-15884 (2020) - [j271]Hatwib Mugasa, Sumeet Dua, Joel E. W. Koh, Yuki Hagiwara, Shu Lih Oh, Chakri Madla, Pailin Kongmebhol, Kwan Hoong Ng, U. Rajendra Acharya:
An adaptive feature extraction model for classification of thyroid lesions in ultrasound images. Pattern Recognit. Lett. 131: 463-473 (2020) - [j270]Elham Nasarian, Moloud Abdar, Mohammad Amin Fahami, Roohallah Alizadehsani, Sadiq Hussain, Mohammad Ehsan Basiri, Mariam Zomorodi Moghadam, Xujuan Zhou, Pawel Plawiak, U. Rajendra Acharya, Ru San Tan, Nizal Sarrafzadegan:
Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Pattern Recognit. Lett. 133: 33-40 (2020) - [j269]Oliver Faust, Murtadha Kareem, Alex Shenfield, Ali Ali, U. Rajendra Acharya:
Validating the robustness of an internet of things based atrial fibrillation detection system. Pattern Recognit. Lett. 133: 55-61 (2020) - [j268]Ali Abbasian Ardakani, Ahmadreza Afshar, Shweta Bhatt, Nathalie J. Bureau, Aylin Tahmasebi, U. Rajendra Acharya, Afshin Mohammadi:
Diagnosis of carpal tunnel syndrome: A comparative study of shear wave elastography, morphometry and artificial intelligence techniques. Pattern Recognit. Lett. 133: 77-85 (2020) - [j267]Manish Sharma, Sohamkumar Patel, U. Rajendra Acharya:
Automated detection of abnormal EEG signals using localized wavelet filter banks. Pattern Recognit. Lett. 133: 188-194 (2020) - [j266]Yusuf Çelik, Muhammed Talo, Özal Yildirim, Murat Karabatak, U. Rajendra Acharya:
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images. Pattern Recognit. Lett. 133: 232-239 (2020) - [j265]Joel Koh En Wei, Jahmunah Vicnesh, The-Hanh Pham, Shu Lih Oh, Edward J. Ciaccio, U. Rajendra Acharya, Chai Hong Yeong, Mohd Kamil Bin Mohd Fabell, Kartini Rahmat, Anushya Vijayananthan, Norlisah Ramli:
Automated detection of Alzheimer's disease using bi-directional empirical model decomposition. Pattern Recognit. Lett. 135: 106-113 (2020) - [j264]Catalin Stoean, Ruxandra Stoean, Miguel A. Atencia Ruiz, Moloud Abdar, Luís Velázquez Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya:
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors 20(11): 3032 (2020) - [j263]Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Mohammad Hossein Zangooei, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya:
Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Comput. 24(13): 10149-10160 (2020) - [i9]Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya:
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks. CoRR abs/2002.05262 (2020) - [i8]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini-Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya:
Epileptic seizure detection using deep learning techniques: A Review. CoRR abs/2007.01276 (2020) - [i7]Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, Mahboobeh Jafari, Ali Khadem, Delaram Sadeghi, Parisa Moridian, Sadiq Hussain, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Michael Berk:
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. CoRR abs/2007.01285 (2020) - [i6]Afshin Shoeibi, Marjane Khodatars, Roohallah Alizadehsani, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Delaram Sadeghi, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Javad Bazeli, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi:
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. CoRR abs/2007.10785 (2020) - [i5]Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR abs/2008.10114 (2020) - [i4]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR abs/2011.06225 (2020)
2010 – 2019
- 2019
- [j262]U. Rajendra Acharya, Kristen M. Meiburger, Joel E. W. Koh, Edward J. Ciaccio, Arunkumar N., Mee Hoong See, Nur Aishah Mohd Taib, Anushya Vijayananthan, Kartini Rahmat, Farhana Fadzli, Sook Sam Leong, Caroline Judy Westerhout, Ángela Chantre Astaiza, Gustavo A. Ramírez González:
A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery. IEEE Access 7: 22829-22842 (2019) - [j261]Anjan Gudigar, U. Raghavendra, Edward J. Ciaccio, Arunkumar N., Enas W. Abdulhay, U. Rajendra Acharya:
Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study. IEEE Access 7: 28498-28509 (2019) - [j260]Kang Hao Cheong, Kenneth Jian Wei Tang, Jin Ming Koh, Simon Ching Man Yu, U. Rajendra Acharya, Nenggang Xie:
A Novel Methodology to Improve Cooling Efficiency at Data Centers. IEEE Access 7: 153799-153809 (2019) - [j259]Moloud Abdar, U. Rajendra Acharya, Nizal Sarrafzadegan, Vladimir Makarenkov:
NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease. IEEE Access 7: 167605-167620 (2019) - [j258]Kang Hao Cheong, Sandra Poeschmann, Joel Weijia Lai, Jin Ming Koh, U. Rajendra Acharya, Simon Ching Man Yu, Kenneth Jian Wei Tang:
Practical Automated Video Analytics for Crowd Monitoring and Counting. IEEE Access 7: 183252-183261 (2019) - [j257]U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Muhammad Adam, Ru San Tan:
Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals. Appl. Intell. 49(1): 16-27 (2019) - [j256]U. Rajendra Acharya, Kristen M. Meiburger, Joel E. W. Koh, Jahmunah Vicnesh, Edward J. Ciaccio, Shu Lih Oh, Sock Keow Tan, Raja Rizal Azman Raja Aman, Filippo Molinari, Kwan Hoong Ng:
Automated plaque classification using computed tomography angiography and Gabor transformations. Artif. Intell. Medicine 100 (2019) - [j255]V. Jahmunah, Shu Lih Oh, V. Rajinikanth, Edward J. Ciaccio, Kang Hao Cheong, Arunkumar N., U. Rajendra Acharya:
Automated detection of schizophrenia using nonlinear signal processing methods. Artif. Intell. Medicine 100 (2019) - [j254]Pawel Plawiak, Moloud Abdar, U. Rajendra Acharya:
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring. Appl. Soft Comput. 84 (2019) - [j253]Shishir Maheshwari, Vivek Kanhangad, Ram Bilas Pachori, Sulatha V. Bhandary, U. Rajendra Acharya:
Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques. Comput. Biol. Medicine 105: 72-80 (2019) - [j252]Shu Lih Oh, Eddie-Yin-Kwee Ng, Ru San Tan, U. Rajendra Acharya:
Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types. Comput. Biol. Medicine 105: 92-101 (2019) - [j251]Nicola Michielli, U. Rajendra Acharya, Filippo Molinari:
Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals. Comput. Biol. Medicine 106: 71-81 (2019) - [j250]ChS. S. S. Viswabhargav, R. K. Tripathy, U. Rajendra Acharya:
Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals. Comput. Biol. Medicine 108: 20-30 (2019) - [j249]Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya:
Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine 111 (2019) - [j248]Jose Kunnel Paul, Thomas Iype, Dileep R, Yuki Hagiwara, Joel E. W. Koh, U. Rajendra Acharya:
Characterization of fibromyalgia using sleep EEG signals with nonlinear dynamical features. Comput. Biol. Medicine 111 (2019) - [j247]Özal Yildirim, Muhammed Talo, Betül Ay Karakus, Ulas Baran Baloglu, Galip Aydin, U. Rajendra Acharya:
Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals. Comput. Biol. Medicine 113 (2019) - [j246]Yam Meng Chan, E. Y. K. Ng, V. Jahmunah, Joel Koh En Wei, Shu Lih Oh, Leonard Yip Wei Leon, U. Rajendra Acharya:
Automated detection of glaucoma using optical coherence tomography angiogram images. Comput. Biol. Medicine 115 (2019) - [j245]Manish Sharma, Swapnil Singh, Abhishek Kumar, Ru San Tan, U. Rajendra Acharya:
Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG features. Comput. Biol. Medicine 115 (2019) - [j244]Ashish Sharma, Shivnarayan Patidar, Abhay Upadhyay, U. Rajendra Acharya:
Accurate tunable-Q wavelet transform based method for QRS complex detection. Comput. Electr. Eng. 75: 101-111 (2019) - [j243]Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, U. Rajendra Acharya:
Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities. Comput. Medical Imaging Graph. 77 (2019) - [j242]Muhammed Talo, Özal Yildirim, Ulas Baran Baloglu, Galip Aydin, U. Rajendra Acharya:
Convolutional neural networks for multi-class brain disease detection using MRI images. Comput. Medical Imaging Graph. 78 (2019) - [j241]U. Rajendra Acharya, Oliver Faust, Edward J. Ciaccio, Joel Koh En Wei, Shu Lih Oh, Ru San Tan, Hasan Garan:
Application of nonlinear methods to discriminate fractionated electrograms in paroxysmal versus persistent atrial fibrillation. Comput. Methods Programs Biomed. 175: 163-178 (2019) - [j240]Oliver Faust, Hajar Razaghi, Ragab Barika, Edward J. Ciaccio, U. Rajendra Acharya:
A review of automated sleep stage scoring based on physiological signals for the new millennia. Comput. Methods Programs Biomed. 176: 81-91 (2019) - [j239]Özal Yildirim, Ulas Baran Baloglu, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya:
A new approach for arrhythmia classification using deep coded features and LSTM networks. Comput. Methods Programs Biomed. 176: 121-133 (2019) - [j238]Edward J. Ciaccio, Elaine Y. Wan, Deepak S. Saluja, U. Rajendra Acharya, Nicholas S. Peters, Hasan Garan:
Addressing challenges of quantitative methodologies and event interpretation in the study of atrial fibrillation. Comput. Methods Programs Biomed. 178: 113-122 (2019) - [j237]Moloud Abdar, Wojciech Ksiazek, U. Rajendra Acharya, Ru San Tan, Vladimir Makarenkov, Pawel Plawiak:
A new machine learning technique for an accurate diagnosis of coronary artery disease. Comput. Methods Programs Biomed. 179 (2019) - [j236]Wojciech Ksiazek, Moloud Abdar, U. Rajendra Acharya, Pawel Plawiak:
A novel machine learning approach for early detection of hepatocellular carcinoma patients. Cogn. Syst. Res. 54: 116-127 (2019) - [j235]Amita Das, U. Rajendra Acharya, Soumya S. Panda, Sukanta Sabut:
Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques. Cogn. Syst. Res. 54: 165-175 (2019) - [j234]Muhammed Talo, Ulas Baran Baloglu, Özal Yildirim, U. Rajendra Acharya:
Application of deep transfer learning for automated brain abnormality classification using MR images. Cogn. Syst. Res. 54: 176-188 (2019) - [j233]Ankit A. Bhurane, Manish Sharma, Ru San Tan, U. Rajendra Acharya:
An efficient detection of congestive heart failure using frequency localized filter banks for the diagnosis with ECG signals. Cogn. Syst. Res. 55: 82-94 (2019) - [j232]U. Rajendra Acharya, Kristen M. Meiburger, Oliver Faust, Joel E. W. Koh, Shu Lih Oh, Edward J. Ciaccio, Asit Subudhi, V. Jahmunah, Sukanta Sabut:
Automatic detection of ischemic stroke using higher order spectra features in brain MRI images. Cogn. Syst. Res. 58: 134-142 (2019) - [j231]Joel E. W. Koh, Yuki Hagiwara, Shu Lih Oh, Jen Hong Tan, Edward J. Ciaccio, Peter H. R. Green, Suzanne K. Lewis, U. Rajendra Acharya:
Automated diagnosis of celiac disease using DWT and nonlinear features with video capsule endoscopy images. Future Gener. Comput. Syst. 90: 86-93 (2019) - [j230]Anjan Gudigar, U. Raghavendra, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya:
Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study. Future Gener. Comput. Syst. 90: 359-367 (2019) - [j229]U. Rajendra Acharya, Yuki Hagiwara, Sunny Nitin Deshpande, S. Suren, Joel E. W. Koh, Shu Lih Oh, Arunkumar N., Edward J. Ciaccio, Choo Min Lim:
Characterization of focal EEG signals: A review. Future Gener. Comput. Syst. 91: 290-299 (2019) - [j228]Anurag Nishad, Abhay Upadhyay, Ram Bilas Pachori, U. Rajendra Acharya:
Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals. Future Gener. Comput. Syst. 93: 96-110 (2019) - [j227]Jahmunah Vicnesh, Joel Koh En Wei, Edward J. Ciaccio, Shu Lih Oh, Govind Bhagat, Suzanne K. Lewis, Peter H. R. Green, U. Rajendra Acharya:
Automated diagnosis of celiac disease by video capsule endoscopy using DAISY Descriptors. J. Medical Syst. 43(6): 157:1-157:9 (2019) - [j226]Betül Ay Karakus, Özal Yildirim, Muhammed Talo, Ulas Baran Baloglu, Galip Aydin, Subha D. Puthankattil, U. Rajendra Acharya:
Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals. J. Medical Syst. 43(7): 205:1-205:12 (2019) - [j225]Moloud Abdar, Vivi Nur Wijayaningrum, Sadiq Hussain, Roohallah Alizadehsani, Pawel Plawiak, U. Rajendra Acharya, Vladimir Makarenkov:
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. J. Medical Syst. 43(7): 220:1-220:23 (2019) - [j224]U. Raghavendra, Anjan Gudigar, Sulatha V. Bhandary, Tejaswi N. Rao, Edward J. Ciaccio, U. Rajendra Acharya:
A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images. J. Medical Syst. 43(9): 299:1-299:9 (2019) - [j223]U. Rajendra Acharya, Steven Lawrence Fernandes, Joel Koh En Wei, Edward J. Ciaccio, Mohd Kamil Bin Mohd Fabell, Urcun John Tanik, V. Rajinikanth, Chai Hong Yeong:
Automated Detection of Alzheimer's Disease Using Brain MRI Images- A Study with Various Feature Extraction Techniques. J. Medical Syst. 43(9): 302:1-302:14 (2019) - [j222]Türker Tuncer, Sengül Dogan, Pawel Plawiak, U. Rajendra Acharya:
Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals. Knowl. Based Syst. 186 (2019) - [j221]Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, U. Rajendra Acharya:
An efficient traffic sign recognition based on graph embedding features. Neural Comput. Appl. 31(2): 395-407 (2019) - [j220]Ulas Baran Baloglu, Muhammed Talo, Özal Yildirim, Ru San Tan, U. Rajendra Acharya:
Classification of myocardial infarction with multi-lead ECG signals and deep CNN. Pattern Recognit. Lett. 122: 23-30 (2019) - [j219]Anjan Gudigar, U. Raghavendra, Tom Devasia, Krishnananda Nayak, Sheik Mohammed Danish, Gautam Kamath, Jyothi Samanth, Umesh M. Pai, Vidya Nayak, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya:
Global weighted LBP based entropy features for the assessment of pulmonary hypertension. Pattern Recognit. Lett. 125: 35-41 (2019) - [j218]Manish Sharma, U. Rajendra Acharya:
A new method to identify coronary artery disease with ECG signals and time-Frequency concentrated antisymmetric biorthogonal wavelet filter bank. Pattern Recognit. Lett. 125: 235-240 (2019) - [c22]Sajad Mousavi, Fatemeh Afghah, Abolfazl Razi, U. Rajendra Acharya:
ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation with Deep Visual Attention. BHI 2019: 1-4 - [i3]Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya:
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach. CoRR abs/1903.02108 (2019) - 2018
- [j217]Manish Sharma, Dipankar Deb, U. Rajendra Acharya:
A novel three-band orthogonal wavelet filter bank method for an automated identification of alcoholic EEG signals. Appl. Intell. 48(5): 1368-1378 (2018) - [j216]Joel E. W. Koh, Eddie-Yin-Kwee Ng, Sulatha V. Bhandary, Augustinus Laude, U. Rajendra Acharya:
Automated detection of retinal health using PHOG and SURF features extracted from fundus images. Appl. Intell. 48(5): 1379-1393 (2018) - [j215]U. Raghavendra, Hamido Fujita, Anjan Gudigar, Shetty Ranjan, Krishnananda Nayak, Pai Umesh, Jyothi Samanth, U. Rajendra Acharya:
Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images. Biomed. Signal Process. Control. 40: 324-334 (2018) - [j214]Joel E. W. Koh, Eddie-Yin-Kwee Ng, Sulatha V. Bhandary, Yuki Hagiwara, Augustinus Laude, U. Rajendra Acharya:
Automated retinal health diagnosis using pyramid histogram of visual words and Fisher vector techniques. Comput. Biol. Medicine 92: 204-209 (2018) - [j213]Kristen M. Meiburger, U. Rajendra Acharya, Filippo Molinari:
Automated localization and segmentation techniques for B-mode ultrasound images: A review. Comput. Biol. Medicine 92: 210-235 (2018) - [j212]U. Rajendra Acharya, Joel E. W. Koh, Yuki Hagiwara, Jen Hong Tan, Arkadiusz Gertych, Anushya Vijayananthan, Nur Adura Yaakup, Basri Johan Jeet Abdullah, Mohd Kamil Bin Mohd Fabell, Chai Hong Yeong:
Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features. Comput. Biol. Medicine 94: 11-18 (2018) - [j211]Jen Hong Tan, Yuki Hagiwara, Winnie Pang, Ivy Lim, Shu Lih Oh, Muhammad Adam, Ru San Tan, Ming Chen, U. Rajendra Acharya:
Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals. Comput. Biol. Medicine 94: 19-26 (2018) - [j210]U. Raghavendra, Anjan Gudigar, M. Maithri, Arkadiusz Gertych, Kristen M. Meiburger, Chai Hong Yeong, Chakri Madla, Pailin Kongmebhol, Filippo Molinari, Kwan Hoong Ng, U. Rajendra Acharya:
Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images. Comput. Biol. Medicine 95: 55-62 (2018) - [j209]Manish Sharma, Deepanshu Goyal, Achuth P. V., U. Rajendra Acharya:
An accurate sleep stages classification system using a new class of optimally time-frequency localized three-band wavelet filter bank. Comput. Biol. Medicine 98: 58-75 (2018) - [j208]Manish Sharma, Shreyansh Agarwal, U. Rajendra Acharya:
Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals. Comput. Biol. Medicine 100: 100-113 (2018) - [j207]U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Hojjat Adeli:
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals. Comput. Biol. Medicine 100: 270-278 (2018) - [j206]Shreya Bhat, U. Rajendra Acharya, Yuki Hagiwara, Nahid Dadmehr, Hojjat Adeli:
Parkinson's disease: Cause factors, measurable indicators, and early diagnosis. Comput. Biol. Medicine 102: 234-241 (2018) - [j205]Shu Lih Oh, Eddie-Yin-Kwee Ng, Ru San Tan, U. Rajendra Acharya:
Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats. Comput. Biol. Medicine 102: 278-287 (2018) - [j204]Oliver Faust, Alex Shenfield, Murtadha Kareem, Ru San Tan, Hamido Fujita, U. Rajendra Acharya:
Automated detection of atrial fibrillation using long short-term memory network with RR interval signals. Comput. Biol. Medicine 102: 327-335 (2018) - [j203]Manish Sharma, Ru San Tan, U. Rajendra Acharya:
A novel automated diagnostic system for classification of myocardial infarction ECG signals using an optimal biorthogonal filter bank. Comput. Biol. Medicine 102: 341-356 (2018) - [j202]Özal Yildirim, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya:
Arrhythmia detection using deep convolutional neural network with long duration ECG signals. Comput. Biol. Medicine 102: 411-420 (2018) - [j201]Asit Subudhi, U. Rajendra Acharya, Manasa Dash, Subhransu Jena, Sukanta Sabut:
Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images. Comput. Biol. Medicine 103: 116-129 (2018) - [j200]Manish Sharma, U. Rajendra Acharya:
Analysis of knee-joint vibroarthographic signals using bandwidth-duration localized three-channel filter bank. Comput. Electr. Eng. 72: 191-202 (2018) - [j199]Oliver Faust, Yuki Hagiwara, Jen Hong Tan, Shu Lih Oh, U. Rajendra Acharya:
Deep learning for healthcare applications based on physiological signals: A review. Comput. Methods Programs Biomed. 161: 1-13 (2018) - [j198]U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Hojjat Adeli, D. Puthankattil Subha:
Automated EEG-based screening of depression using deep convolutional neural network. Comput. Methods Programs Biomed. 161: 103-113 (2018) - [j197]Muhammad Adam, Shu Lih Oh, K. Vidya Sudarshan, Joel E. W. Koh, Yuki Hagiwara, Jen Hong Tan, Ru San Tan, U. Rajendra Acharya:
Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals. Comput. Methods Programs Biomed. 161: 133-143 (2018) - [j196]Yuki Hagiwara, Joel E. W. Koh, Jen Hong Tan, Sulatha V. Bhandary, Augustinus Laude, Edward J. Ciaccio, Louis Tong, U. Rajendra Acharya:
Computer-aided diagnosis of glaucoma using fundus images: A review. Comput. Methods Programs Biomed. 165: 1-12 (2018) - [j195]