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• Automated Mobile Attendance System (AMAS)

  Dankar, A. & Kundapur, P. P., 12-2019, 2019 6th IEEE International Conference on Advances in Computing, Communication and Control, ICAC3 2019. Institute of Electrical and Electronics Engineers Inc., 9036787. (2019 6th IEEE International Conference on Advances in Computing, Communication and Control, ICAC3 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques

  Vidhya, V., Raghavendra, U., Gudigar, A., Kasula, P., Chakole, Y., Hegde, A., Girish Menon, R., Ooi, C. P., Ciaccio, E. J. & Rajendra Acharya, U., 03-2022, In: Informatics. 9, 1, 4.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network

  Acharya, U. R., Fujita, H., Oh, S. L., Raghavendra, U., Tan, J. H., Adam, M., Gertych, A. & Hagiwara, Y., 01-02-2018, In: Future Generation Computer Systems.

  Research output: Contribution to journal › Article › peer-review
  185 Citations (SciVal)

• Automated identification of epileptic and alcoholic EEG signals using recurrence quantification analysis

  Ng, E. P., Lim, T. C., Chattopadhyay, S. & Bairy, M., 01-12-2012, In: Journal of Mechanics in Medicine and Biology. 12, 5, 1240028.

  Research output: Contribution to journal › Article › peer-review
  13 Citations (SciVal)

• Automated identification of diabetic retinopathy stages using digital fundus images

  Nayak, J., Bhat, P. S., Acharya U, R., Lim, C. M. & Kagathi, M., 01-04-2008, In: Journal of Medical Systems. 32, 2, p. 107-115 9 p.

  Research output: Contribution to journal › Article › peer-review
  223 Citations (SciVal)

• Automated Ground Station Design for an Amateur LEO Satellite System

  Garg, L., Kand, A., Pradhan, M. & Agarwal, A., 01-03-2019, 2019 IEEE Aerospace Conference, AERO 2019. IEEE Computer Society, 8741830. (IEEE Aerospace Conference Proceedings; vol. 2019-March).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques

  Maheshwari, S., Kanhangad, V., Pachori, R. B., Bhandary, S. V. & Acharya, U. R., 01-02-2019, In: Computers in Biology and Medicine. 105, p. 72-80 9 p.

  Research output: Contribution to journal › Article › peer-review
  35 Citations (Scopus)

• AUTOMATED GLAUCOMA DETECTION USING CENTER SLICE of HIGHER ORDER STATISTICS

  Sharma, R., Sircar, P., Pachori, R. B., Bhandary, S. V. & Acharya, U. R., 01-02-2019, In: Journal of Mechanics in Medicine and Biology. 19, 1, 1940011.

  Research output: Contribution to journal › Article › peer-review
  19 Citations (Scopus)

• Automated fundus image quality assessment and segmentation of optic disc using convolutional neural networks

  Bhatkalkar, B., Joshi, A., Prabhu, S. & Bhandary, S., 01-01-2020, In: International Journal of Electrical and Computer Engineering. 10, 1, p. 816-827 12 p.

  Research output: Contribution to journal › Article › peer-review
  18 Citations (Scopus)

• Automated fertigation system for efficient utilization of fertilizer and water

  Joseph, C., Thirunavuakkarasu, I., Bhaskar, A. & Penujuru, A., 01-07-2017, 2017 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017. Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p. (2017 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017; vol. 2018-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  6 Citations (Scopus)

• Automated emotion recognition: Current trends and future perspectives

  Maithri, M., Raghavendra, U., Gudigar, A., Samanth, J., Prabal Datta Barua, D. B., Murugappan, M., Chakole, Y. & Acharya, U. R., 03-2022, In: Computer Methods and Programs in Biomedicine. 215, 106646.

  Research output: Contribution to journal › Review article › peer-review
  15 Citations (SciVal)

• Automated Electric Power Saving System in University Classrooms Using Internet of Things

  Srishyla, K., Naresh, E., Niranjanamurthy, M. & Parakh, S. D., 2022, EAI/Springer Innovations in Communication and Computing. Springer Science and Business Media Deutschland GmbH, p. 235-250 16 p. (EAI/Springer Innovations in Communication and Computing).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Automated diagnosis of tachycardia beats

  Desai, U., Nayak, C. G., Seshikala, G., Martis, R. J. & Fernandes, S. L., 01-01-2018, Smart Computing and Informatics - Proceedings of the 1st International Conference on SCI 2016. Springer Science and Business Media Deutschland GmbH, p. 421-429 9 p. (Smart Innovation, Systems and Technologies; vol. 77).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  8 Citations (Scopus)

• Automated diagnosis of maculopathy stages using entropies and Hu's invariant moments

  Noronha, K. & Nayak, K. P., 12-2013, In: Journal of Medical Imaging and Health Informatics. 3, 4, p. 494-501 8 p.

  Research output: Contribution to journal › Article › peer-review
  4 Citations (Scopus)

• Automated diagnosis of glaucoma using digital fundus images

  Nayak, J., Acharya U., R., Bhat, P. S., Shetty, N. & Lim, T. C., 01-10-2009, In: Journal of Medical Systems. 33, 5, p. 337-346 10 p.

  Research output: Contribution to journal › Article › peer-review
  250 Citations (SciVal)

• Automated diagnosis of diabetes maculopathy: A survey

  Noronha, K. & Nayak, K. P., 06-2013, In: Journal of Medical Imaging and Health Informatics. 3, 2, p. 280-287 8 p.

  Research output: Contribution to journal › Review article › peer-review
  11 Citations (Scopus)

• Automated diagnosis of depression electroencephalograph signals using linear prediction coding and higher order spectra features

  Bairy, G. M., Lih, O. S., Hagiwara, Y., Puthankattil, S. D., Faust, O., Niranjan, U. C. & Acharya, U. R., 01-12-2017, In: Journal of Medical Imaging and Health Informatics. 7, 8, p. 1857-1862 6 p.

  Research output: Contribution to journal › Article › peer-review
  31 Citations (Scopus)

• Automated diagnosis of Coronary Artery Disease using pattern recognition approach

  Desai, U., Nayak, C. G., Seshikala, G. & Martis, R. J., 13-09-2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 434-437 4 p. 8036855

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  9 Citations (Scopus)

• Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals

  Sridhar, C., Acharya, U. R., Fujita, H. & Bairy, G. M., 06-02-2017, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 545-549 5 p. 7844296

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  24 Citations (Scopus)

• Automated diagnosis of autism: In search of a mathematical marker

  Bhat, S., Acharya, U. R., Adeli, H., Bairy, G. M. & Adeli, A., 01-01-2014, In: Reviews in the Neurosciences. 25, 6, p. 851-861 11 p.

  Research output: Contribution to journal › Article › peer-review
  60 Citations (SciVal)

• Automated Diagnosis and Assessment of Cardiac Structural Alteration in Hypertension Ultrasound Images

  Raghavendra, U., En Wei, J. K., Gudigar, A., Shetty, A., Samanth, J., Paramasivam, G., Jagadish, S., Kadri, N. A., Karabatak, M., Yildirim, Ö., Arunkumar, N. & Ardakani, A. A., 2022, In: Contrast Media and Molecular Imaging. 2022, p. 5616939 5616939.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Automated diabetic macular edema (DME) grading system using DWT, DCT Features and maculopathy index

  Acharya, U. R., Mookiah, M. R. K., Koh, J. E. W., Tan, J. H., Bhandary, S. V., Rao, A. K., Hagiwara, Y., Chua, C. K. & Laude, A., 01-05-2017, In: Computers in Biology and Medicine. 84, p. 59-68 10 p.

  Research output: Contribution to journal › Article › peer-review
  60 Citations (Scopus)

• Automated detection of scaphoid fractures using deep neural networks in radiographs

  Singh, A., Ardakani, A. A., Loh, H. W., Anamika, P. V., Acharya, U. R., Kamath, S. & Bhat, A. K., 06-2023, In: Engineering Applications of Artificial Intelligence. 122, 106165.

  Research output: Contribution to journal › Article › peer-review

• Automated detection of retinal health using PHOG and SURF features extracted from fundus images

  Koh, J. E. W., Ng, E. Y. K., Bhandary, S. V., Laude, A. & Acharya, U. R., 29-08-2018, In: Applied Intelligence. p. 1-15 15 p.

  Research output: Contribution to journal › Article › peer-review
  26 Citations (Scopus)

• Automated detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals

  Acharya, U. R., Sudarshan, V. K., Rong, S. Q., Tan, Z., Lim, C. M., Koh, J. EW., Nayak, S. & Bhandary, S. V., 01-06-2017, In: Computers in Biology and Medicine. 85, p. 33-42 10 p.

  Research output: Contribution to journal › Article › peer-review
  77 Citations (Scopus)

• Automated detection of pathological and non-pathological myopia using retinal features and dynamic ensemble of classifiers

  Pathan, S., Siddalingaswamy, P. C. & Dsouza, N., 2020, In: Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika). 79, 20, p. 1857-1867 11 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Automated detection of optic disc contours in fundus images using decision tree classifier

  Pathan, S., Kumar, P., Pai, R. & Bhandary, S. V., 01-01-2020, In: Biocybernetics and Biomedical Engineering. 40, 1, p. 52-64 13 p.

  Research output: Contribution to journal › Article › peer-review
  22 Citations (Scopus)

• Automated Detection of Optic Disc and Exudates in Retinal Images

  Siddalingaswamy, P. C. & Prabhu, K. G., 2009, 13th International Conference on Biomedical Engineering - ICBME 2008. Vol. 23. p. 277-279 3 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  11 Citations (Scopus)

• Automated detection of melanocytes related pigmented skin lesions: A clinical framework

  Pathan, S., Gopalakrishna Prabhu, K. & Siddalingaswamy, P. C., 01-05-2019, In: Biomedical Signal Processing and Control. 51, p. 59-72 14 p.

  Research output: Contribution to journal › Article › peer-review
  24 Citations (Scopus)

• Automated Detection of Malaria implemented by Deep Learning in Pytorch

  Krishnadas, P. & Sampathila, N., 2021, Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies. Institute of Electrical and Electronics Engineers Inc., (Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Citations (Scopus)

• Automated detection of lung nodules using HOG technique with chest X-ray images

  Raghavendra, U., Gudigar, A., Rao, T. N., Fujita, H. & Acharya, U. R., 01-01-2018, New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference, SoMeT 2018. Herrera-Viedma, E. & Fujita, H. (eds.). IOS Press, p. 1018-1026 9 p. (Frontiers in Artificial Intelligence and Applications; vol. 303).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Automated Detection of Covid-19 from Chest X-ray scans using an optimized CNN architecture

  Pathan, S., Siddalingaswamy, P. C. & Ali, T., 06-2021, In: Applied Soft Computing. 104, 107238.

  Research output: Contribution to journal › Article › peer-review
  23 Citations (SciVal)

• Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images

  Gudigar, A., U, R., Samanth, J., Gangavarapu, M. R., Kudva, A., Paramasivam, G., Nayak, K., Tan, R. S., Molinari, F., Ciaccio, E. J. & Rajendra Acharya, U., 07-2021, In: Biomedical Signal Processing and Control. 68, 102733.

  Research output: Contribution to journal › Article › peer-review
  3 Citations (Scopus)

• Automated detection of anatomical structures in retinal images

  Siddalingaswamy, P. C. & Prabhu, G. K., 2008, Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007. Vol. 3. p. 164-168 5 p. 4426361

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  20 Citations (Scopus)

• Automated detection of age-related macular degeneration using empirical mode decomposition

  Mookiah, M. R. K., Acharya, U. R., Fujita, H., Koh, J. E. W., Tan, J. H., Chua, C. K., Bhandary, S. V., Noronha, K., Laude, A. & Tong, L., 01-01-2015, In: Knowledge-Based Systems. 89, p. 654-668 15 p.

  Research output: Contribution to journal › Article › peer-review
  29 Citations (Scopus)

• Automated detection and screening of traumatic brain injury (Tbi) using computed tomography images: A comprehensive review and future perspectives

  Vidhya, V., Gudigar, A., Raghavendra, U., Hegde, A., Menon, G. R., Molinari, F., Ciaccio, E. J. & Acharya, U. R., 02-06-2021, In: International Journal of Environmental Research and Public Health. 18, 12, 6499.

  Research output: Contribution to journal › Review article › peer-review

  Open Access
  11 Citations (Scopus)

• Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals

  Raghavendra, U., Gudigar, A., Chakole, Y., Kasula, P., Subha, D. P., Kadri, N. A., Ciaccio, E. J. & Acharya, U. R., 2021, (Accepted/In press) In: Expert Systems.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features

  Acharya, U. R., Raghavendra, U., Koh, J. E. W., Meiburger, K. M., Ciaccio, E. J., Hagiwara, Y., Molinari, F., Leong, W. L., Vijayananthan, A., Yaakup, N. A., Fabell, M. K. B. M. & Yeong, C. H., 01-11-2018, In: Computer Methods and Programs in Biomedicine. 166, p. 91-98 8 p.

  Research output: Contribution to journal › Article › peer-review
  15 Citations (Scopus)

• Automated Detection and Classification of Cervical Cancer Using Pap Smear Microscopic Images: A Comprehensive Review and Future Perspectives

  Shanthi, P. B., Hareesha, K. S. & Kudva, R., 2022, In: Engineered Science. 19, p. 20-41 22 p.

  Research output: Contribution to journal › Review article › peer-review

  Open Access
  9 Citations (SciVal)

• Automated Decision Support System for Detection of Leukemia from Peripheral Blood Smear Images

  Hegde, R. B., Prasad, K., Hebbar, H., Singh, B. M. K. & Sandhya, I., 01-04-2020, In: Journal of Digital Imaging.

  Research output: Contribution to journal › Article › peer-review
  15 Citations (Scopus)

• Automated COVID-19 diagnosis and classification using convolutional neural network with fusion based feature extraction model

  Shankar, K., Mohanty, S. N., Yadav, K., Gopalakrishnan, T. & Elmisery, A. M., 2021, (Accepted/In press) In: Cognitive Neurodynamics.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  8 Citations (Scopus)

• Automated classification of patients with coronary artery disease using grayscale features from left ventricle echocardiographic images

  Acharya, U. R., Sree, S. V., Muthu Rama Krishnan, M., Krishnananda, N., Ranjan, S., Umesh, P. & Suri, J. S., 01-12-2013, In: Computer Methods and Programs in Biomedicine. 112, 3, p. 624-632 9 p.

  Research output: Contribution to journal › Article › peer-review
  77 Citations (Scopus)

• Automated classification of glaucoma stages using higher order cumulant features

  Noronha, K. P., Acharya, U. R., Nayak, K. P., Martis, R. J. & Bhandary, S. V., 2014, In: Biomedical Signal Processing and Control. 10, 1, p. 174-183 10 p.

  Research output: Contribution to journal › Article › peer-review
  123 Citations (SciVal)

• Automated classification of epileptic electroencephalogram signals using wavelet entropies and energies

  Bairy, G. M., Bhat, S. & Niranjan, U. C., 01-01-2014, In: Journal of Medical Imaging and Health Informatics. 4, 6, p. 868-873 6 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Automated classification of depression electroencephalographic signals using discrete cosine transform and nonlinear dynamics

  Muralidhar Bairy, G., Bhat, S., Eugene, L. W. J., Niranjan, U. C., Puthankattil, S. D. & Joseph, P. K., 01-01-2015, In: Journal of Medical Imaging and Health Informatics. 5, 3, p. 635-640 6 p.

  Research output: Contribution to journal › Article › peer-review
  19 Citations (Scopus)

• AUTOMATED CLASSIFICATION OF DEPRESSION EEG SIGNALS USING WAVELET ENTROPIES AND ENERGIES

  Bairy, G. M., Niranjan, U. C. & Puthankattil, S. D., 01-05-2016, In: Journal of Mechanics in Medicine and Biology. 16, 3, 1650035.

  Research output: Contribution to journal › Article › peer-review
  17 Citations (Scopus)

• Automated Classification for Breast Cancer Histopathology Images: Is Stain Normalization Important?

  Gupta, V., Singh, A., Sharma, K. & Bhavsar, A., 01-01-2017, Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures - 4th International Workshop, CARE 2017 and 6th International Workshop, CLIP 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, p. 160-169 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10550 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  10 Citations (Scopus)

• Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images

  Acharya, U. R., Raghavendra, U., Fujita, H., Hagiwara, Y., Koh, J. EW., Jen Hong, T., Sudarshan, V. K., Vijayananthan, A., Yeong, C. H., Gudigar, A. & Ng, K. H., 01-12-2016, In: Computers in Biology and Medicine. 79, p. 250-258 9 p.

  Research output: Contribution to journal › Article › peer-review
  86 Citations (SciVal)

• Automated characterization of breast cancer using steerable filters

  Fujita, H., Raghavendra, U., Gudigar, A., Vadakkepat, V. V. & Acharya, U. R., 2017, New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 16th International Conference, SoMeT 2017. IOS Press, Vol. 297. p. 321-327 7 p. (Frontiers in Artificial Intelligence and Applications; vol. 297).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Automated categorization of multi-class brain abnormalities using decomposition techniques with MRI images: A comparative study

  Gudigar, A., Raghavendra, U., Ciaccio, E. J., Arunkumar, N., Abdulhay, E. & Acharya, U. R., 01-01-2019, In: IEEE Access. 7, p. 28498-28509 12 p., 8649639.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  42 Citations (Scopus)