ANZSRC Field of Research


TitleANZSRC Field of Research

Latest research outputs

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Automated detection of hypertension using physiological signals: A review
Sharma, Manish, Rajput, J.S., Tan, Ru San and Acharya, U. Rajendra. 2021. "Automated detection of hypertension using physiological signals: A review." International Journal of Environmental Research and Public Health. 18 (11). https://doi.org/10.3390/ijerph18115838

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Automated characterization of cyclic alternating pattern using wavelet-based features and ensemble learning techniques with eeg signals
Sharma, Manish, Patel, Virendra, Tiwari, Jainendra and Acharya, U. Rajendra. 2021. "Automated characterization of cyclic alternating pattern using wavelet-based features and ensemble learning techniques with eeg signals." Diagnostics. 11 (8). https://doi.org/10.3390/diagnostics11081380

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Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals
Sharma, Manish, Patel, Virendra and Acharya, U. Rajendra. 2021. "Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals." Knowledge-Based Systems. 224. https://doi.org/10.1016/j.knosys.2021.107078

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Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals
Sharma, Manish, Dhiman, Harsh S. and Acharya, U. Rajendra. 2021. "Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals." Computers in Biology and Medicine. 131. https://doi.org/10.1016/j.compbiomed.2021.104246

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Automated detection of schizophrenia using optimal wavelet-based l1 norm features extracted from single-channel EEG
Sharma, Manish and Acharya, U. Rajendra. 2021. "Automated detection of schizophrenia using optimal wavelet-based l1 norm features extracted from single-channel EEG." Cognitive Neurodynamics. 15 (4), pp. 661-674. https://doi.org/10.1007/s11571-020-09655-w

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Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
Sharifrazi, Danial, Alizadehsani, Roohallah, Roshanzamir, Mohamad, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Jafari, Mahboobeh, Hussain, Sadiq, Sani, Zahra Alizade, Hasanzadeh, Fereshteh, Khozeimeh, Fahime, Khosravi, Abbas, Nahavandi, Saeid, Panahiazar, Maryam, Zare, Assef, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2021. "Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images." Biomedical Signal Processing and Control. 68. https://doi.org/10.1016/j.bspc.2021.102622

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Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform
Sawant, Nidhi Kalidas, Patidar, Shivnarayan, Nesaragi, Naimahmed and Acharya, U. Rajendra. 2021. "Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform." Biocybernetics and Biomedical Engineering. 41 (1), pp. 111-126. https://doi.org/10.1016/j.bbe.2020.12.007

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A hybrid deep learning approach for gland segmentation in prostate histopathological images
Salvi, Massimo, Bosco, Martino, Molinaro, Luca, Gambella, Alessandro, Papotti, Mauro, Acharya, U. Rajendra and Molinari, Filippo. 2021. "A hybrid deep learning approach for gland segmentation in prostate histopathological images." Artificial Intelligence in Medicine. 115. https://doi.org/10.1016/j.artmed.2021.102076

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The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis
Salvi, Massimo, Acharya, U. Rajendra, Molinari, Filippo and Meiburger, Kristen M.. 2021. "The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis." Computers in Biology and Medicine. 128. https://doi.org/10.1016/j.compbiomed.2020.104129

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Automated detection of hypertension using wavelet transform and nonlinear techniques with ballistocardiogram signals
Rajput, Jaypal Singh, Sharma, Manish, Kumbhani, Divyash and Acharya, U. Rajendra. 2021. "Automated detection of hypertension using wavelet transform and nonlinear techniques with ballistocardiogram signals." Informatics in Medicine Unlocked. 26. https://doi.org/10.1016/j.imu.2021.100736

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Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images
Raghavendra, U., Pham, The-Hanh, Gudigar, Anjan, Vidhya, V., Rao, B. Nageswara, Sabut, Sukanta, Koh, Joel Koh En, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images." Complex and Intelligent Systems. 7 (2), pp. 929-940. https://doi.org/10.1007/s40747-020-00257-x

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2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer
Raghavendra, U., Gudigar, Anjan, Ciaccio, Edward J., Ng, Kwan Hoong, Chan, Wai Yee, Rahmat, Kartini and Acharya, U. Rajendra. 2021. "2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer." Expert Systems: the journal of knowledge engineering. 38 (6). https://doi.org/10.1111/exsy.12474

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AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals
Radhakrishnan, Tejas, Karhade, Jay, Ghosh, S.K., Muduli, P.R., Tripathy, R.K. and Acharya, U. Rajendra. 2021. "AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals." Computers in Biology and Medicine. 137, p. wave. https://doi.org/10.1016/j.compbiomed.2021.104783

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A novel machine learning framework for automated detection of arrhythmias in ECG segments
Pham, The-Hanh, Sree, Vinitha, Mapes, John, Dua, Sumeet, Lih, Oh Shu, Koh, Joel E. W., Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "A novel machine learning framework for automated detection of arrhythmias in ECG segments." Journal of Ambient Intelligence and Humanized Computing. 12 (11), pp. 10145-10162. https://doi.org/10.1007/s12652-020-02779-1

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Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images
Pham, The-Hanh, Raghavendra, U., Koh, Joel En Wei, Gudigar, Anjan, Chan, Wai Yee, Ramli Hamid, Marlina Tanty, Rahmat, Kartini, Fadzli, Farhana, Ng, Kwan Hoong, Ooi, Chui Ping, Ciaccio, Edward J., Fujita, Hamido and Acharya, U. Rajendra. 2021. "Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images." Journal of Ambient Intelligence and Humanized Computing. 12 (2), pp. 2121-2129. https://doi.org/10.1007/s12652-020-02310-6

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Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images
Pathan, S., Siddalingaswamy, P.C., Kumar, Preetham, Pai, Manohara MM, Ali, Tanweer and Acharya, U. Rajendra. 2021. "Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images." Computers in Biology and Medicine. 137. https://doi.org/10.1016/j.compbiomed.2021.104835

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A novel automated autism spectrum disorder detection system
Oh, Shu Lih, Jahmunah, V., Arunkumar, N., Abdulhay, Enas W., Gururajan, Raj, Kadri, Nahrizul, Ciaccio, Edward J., Cheong, Kang Hao and Acharya, U. Rajendra. 2021. "A novel automated autism spectrum disorder detection system." Complex and Intelligent Systems. 7 (5), pp. 2399-2413. https://doi.org/10.1007/s40747-021-00408-8

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ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images
Nayak, Deepak Ranjan, Das, Dibyasundar, Majhi, Banshidhar, Bhandary, Sulatha V. and Acharya, U. Rajendra. 2021. "ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images." Biomedical Signal Processing and Control. 67. https://doi.org/10.1016/j.bspc.2021.102559

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Exploring deep features and ECG attributes to detect cardiac rhythm classes
Murat, Fatma, Yildirim, Ozal, Talo, Muhammed, Demir, Yakup, Tan, Ru-San, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Exploring deep features and ECG attributes to detect cardiac rhythm classes." Knowledge-Based Systems. 232. https://doi.org/10.1016/j.knosys.2021.107473

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Review of deep learning-based atrial fibrillation detection studies
Murat, Fatma, Sadak, Ferhat, Yildirim, Ozal, Talo, Muhammed, Murat, Ender, Karabatak, Murat, Demir, Yakup, Tan, Ru-San and Acharya, U. Rajendra. 2021. "Review of deep learning-based atrial fibrillation detection studies." International Journal of Environmental Research and Public Health. 18 (21). https://doi.org/10.3390/ijerph182111302

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ECG Language processing (ELP): A new technique to analyze ECG signals
Mousavi, Sajad, Afghah, Fatemeh, Khadem, Fatemeh and Acharya, U. Rajendra. 2021. "ECG Language processing (ELP): A new technique to analyze ECG signals." Computer Methods and Programs in Biomedicine. 202. https://doi.org/10.1016/j.cmpb.2021.105959

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Multi-scale convolutional neural network for accurate corneal segmentation in early detection of fungal keratitis
Mayya, Veena, Kamath S, Sowmya, Kulkarni, Uma, Hazarika, Manali, Barua, Prabal Datta and Acharya, U. Rajendra. 2021. "Multi-scale convolutional neural network for accurate corneal segmentation in early detection of fungal keratitis." Journal of Fungi. 7 (10). https://doi.org/10.3390/jof7100850

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Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals
Maheshwari, Daksh, Ghosh, S.K., Tripathy, R.K., Sharma, Manish and Acharya, U. Rajendra. 2021. "Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals." Computers in Biology and Medicine. 134. https://doi.org/10.1016/j.compbiomed.2021.104428

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Gaborpdnet: Gabor transformation and deep neural network for parkinson’s disease detection using eeg signals
Loh, Hui Wen, Ooi, Chui Ping, Palmer, Elizabeth, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Baygin, Mehmet and Acharya, U. Rajendra. 2021. "Gaborpdnet: Gabor transformation and deep neural network for parkinson’s disease detection using eeg signals." Electronics. 10 (14). https://doi.org/10.3390/electronics10141740

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Hybrid decision support to monitor atrial fibrillation for stroke prevention
Lei, Ningrong, Kareem, Murtadha, Moon, Seung Ki, Ciaccio, Edward J., Acharya, U Rajendra and Faust, Oliver. 2021. "Hybrid decision support to monitor atrial fibrillation for stroke prevention." International Journal of Environmental Research and Public Health. 18 (2). https://doi.org/10.3390/ijerph18020813

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Schizophrenia: A survey of artificial intelligence techniques applied to detection and classification
Lai, Joel Weijia, Ang, Candice Ke En, Acharya, U. Rajendra and Cheong, Kang Hao. 2021. "Schizophrenia: A survey of artificial intelligence techniques applied to detection and classification." International Journal of Environmental Research and Public Health. 18 (11). https://doi.org/10.3390/ijerph18116099

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Automated covid-19 and heart failure detection using dna pattern technique with cough sounds
Kobat, Mehmet Ali, Kivrak, Tarik, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Tan, Ru-San, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated covid-19 and heart failure detection using dna pattern technique with cough sounds." Diagnostics. 11 (11). https://doi.org/10.3390/diagnostics11111962

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Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review
Khodatars, Marjane, Shoeibi, Afshin, Sadeghi, Delaram, Ghassemi, Navid, Jafari, Mahboobeh, Moridian, Parisa, Khadem, Ali, Alizadehsani, Roohallah, Zare, Assef, Kong, Yinan, Khosravi, Abbas, Nahavandi, Saeid, Hussain, Sadiq, Acharya, U. Rajendra and Berk, Michael. 2021. "Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review." Computers in Biology and Medicine. 139. https://doi.org/10.1016/j.compbiomed.2021.104949

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SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals
Khare, Smith K., Bajaj, Varun and Acharya, U. Rajendra. 2021. "SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals." IEEE Transactions on Instrumentation and Measurement. 70. https://doi.org/10.1109/TIM.2021.3070608

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Detection of Parkinson's disease using automated tunable Q wavelet transform technique with EEG signals
Khare, Smith K., Bajaj, Varun and Acharya, U. Rajendra. 2021. "Detection of Parkinson's disease using automated tunable Q wavelet transform technique with EEG signals." Biocybernetics and Biomedical Engineering. 41 (2), pp. 679-689. https://doi.org/10.1016/j.bbe.2021.04.008

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PDCNNet: An Automatic Framework for the Detection of Parkinson's Disease Using EEG Signals
Khare, Smith K., Bajaj, Varun and Acharya, U. Rajendra. 2021. "PDCNNet: An Automatic Framework for the Detection of Parkinson's Disease Using EEG Signals." IEEE Sensors Journal. 21 (15), pp. 17017-17024. https://doi.org/10.1109/JSEN.2021.3080135

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Design of adaptive-robust controller for multi-state synchronization of chaotic systems with unknown and time-varying delays and its application in secure communication
Javan, Ali Akbar Kekha, Shoeibi, Afshin, Zare, Assef, Izadi, Navid Hosseini, Jafari, Mahboobeh, Alizadehsani, Roohallah, Moridian, Parisa, Mosavi, Amir, Acharya, U. Rajendra and Nahavandi, Saeid. 2021. "Design of adaptive-robust controller for multi-state synchronization of chaotic systems with unknown and time-varying delays and its application in secure communication." Sensors. 21 (1). https://doi.org/10.3390/s21010254

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Multichannel multiscale two-stage convolutional neural network for the detection and localization of myocardial infarction using vectorcardiogram signal
Karhade, Jay, Ghosh, Samit Kumar, Gajbhiye, Pranjali, Tripathy, Rajesh Kumar and Acharya, U. Rajendra. 2021. "Multichannel multiscale two-stage convolutional neural network for the detection and localization of myocardial infarction using vectorcardiogram signal." Applied Sciences. 11 (17). https://doi.org/10.3390/app11177920

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A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke
Kareem, Murtadha, Lei, Ningrong, Ali Ali, Ciaccio, Edward J., Acharya, U. Rajendra and Faust, Oliver. 2021. "A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke." Biomedical Signal Processing and Control. 69. https://doi.org/10.1016/j.bspc.2021.102818

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Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques
Karadal, Can Haktan, Kaya, M. Cagri, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2021. "Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques." Expert Systems with Applications. 185. https://doi.org/10.1016/j.eswa.2021.115659

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Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals
Jahmunah, V., Ng, E.Y.K., Tan, Tan Ru and Acharya, U. Rajendra. 2021. "Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals." Computers in Biology and Medicine. 134. https://doi.org/10.1016/j.compbiomed.2021.104457

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A review on computer aided diagnosis of acute brain stroke
Inamdar, Mahesh Anil, Raghavendra, Udupi, Gudigar, Anjan, Chakole, Yashas, Hegde, Ajay, Menon, Girish R., Barua, Prabal, Palmer, Elizabeth Emma, Cheong, Kang Hao, Chan, Wai Yee, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "A review on computer aided diagnosis of acute brain stroke." Sensors. 21 (24). https://doi.org/10.3390/s21248507

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ResNet-Attention model for human authentication using ECG signals
Hammad, Mohamed, Pławiak, Paweł, Wang, Kuanquan and Acharya, Udyavara Rajendra. 2021. "ResNet-Attention model for human authentication using ECG signals." Expert Systems: the journal of knowledge engineering. 38 (6). https://doi.org/10.1111/exsy.12547

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Automated detection of shockable ECG signals: A review
Hammad, Mohamed, Rajesh, Kandala N.V.P.S, Abdelatey, Amira, Abdar, Moloud, Zomorodi-Moghadam, Mariam, Tan, Ru-San, Acharya, U. Rajendra, Plawiak, Joanna, Tadeusiewicz, Ryszard, Makarenkov, Vladimir, Sarrafzadegan, Nizal, Khosravi, Abbas, Nahavandi, Saeid, Abd El-Latif, Ahmed A. and Plawiak, Pawel. 2021. "Automated detection of shockable ECG signals: A review." Information Sciences. 571, pp. 580-604. https://doi.org/10.1016/j.ins.2021.05.035

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Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images
Gudigar, Anjan, Raghavendra, U., Samanth, Jyothi, Gangavarapu, Mokshagna Rohit, Kudva, Abhilash, Paramasivam, Ganesh, Nayak, Krishnananda, Tan, Ru-San, Molinari, Filippo, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images." Biomedical Signal Processing and Control. 68. https://doi.org/10.1016/j.bspc.2021.102733

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