Raghavendra U

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Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, AustraliaE-mailová adresa ověřena na: usq.edu.au
Anjan GudigarManipal Institute of TechnologyE-mailová adresa ověřena na: manipal.edu
jen hong, tanHighly Cited Researcher in Computer Science, Singapore General HospitalE-mailová adresa ověřena na: sgh.com.sg
Filippo MolinariFull Professor of Biomedical Engineering, Politecnico di TorinoE-mailová adresa ověřena na: polito.it
Yuki HagiwaraHighly Cited Researcher in Cross-Field, Fraunhofer IKSE-mailová adresa ověřena na: iks.fraunhofer.de
Kwan Hoong Nguniversity of MalayaE-mailová adresa ověřena na: ummc.edu.my
Joel Koh En WeiAI Scientist, Cogninet Australia Pty LtdE-mailová adresa ověřena na: cogninet.ai
Karunakar A KProfessor, Manipal Institute of Technology, Manipal Academy of Higher Education, INDIAE-mailová adresa ověřena na: manipal.edu
Anushya VijayananthanAssociate Professor, Dept. of Biomedical Imaging, University of Malaya Medical CentreE-mailová adresa ověřena na: ummc.edu.my
DR. KRISHNANANDA NAYAKAdditional Professor & HeadE-mailová adresa ověřena na: manipal.edu
Kuang Chua ChuaNgee Ann Polytechnic, SingaporeE-mailová adresa ověřena na: np.edu.sg
Vidya K. Sudarshan, PhDLecturer, Nanyang Technological University, NTU, SingaporeE-mailová adresa ověřena na: ntu.edu.sg
Umesh Pai MAssistant ProfessorE-mailová adresa ověřena na: manipal.edu
EYK NgNanyang Technological UniversityE-mailová adresa ověřena na: ntu.edu.sg
Dinesh Shetty NMAMIT - E&ENMAM Institute of technology,NitteE-mailová adresa ověřena na: nitte.edu.in
Krishnamoorthi MakkithayaMIT ManipalE-mailová adresa ověřena na: manipal.edu
Augustinus LaudeSenior Consultant OphthalmologistE-mailová adresa ověřena na: ttsh.com.sg
Louis TongProfessor, Eye-ACP, Duke-National University of Singapore Medical School, SingaporeE-mailová adresa ověřena na: snec.com.sg
Ranjan shetty kAssociate ProfessorE-mailová adresa ověřena na: manipal.edu
Fujita H; Hamido Fujita; Fujita HamidoMalaysia-Japan International Institiute of Technoloy (UTM), Editor-in-Chief: Applied Intelligence,E-mailová adresa ověřena na: acm.org

Sledovat

Raghavendra U

Associate Professor, Manipal Institute of Technology

E-mailová adresa ověřena na: manipal.edu - Domovská stránka

3D Computer Vision Biomedical Image and Signal Anaysis Decision Support Systems for Healthcare


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
A deep learning approach for Parkinson’s disease diagnosis from EEG signals SL Oh, Y Hagiwara, U Raghavendra, R Yuvaraj, N Arunkumar, ... Neural Computing and Applications 32, 10927-10933, 2020	663	2020
Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images U Raghavendra, H Fujita, SV Bhandary, A Gudigar, JH Tan, UR Acharya Information Sciences 441, 41-49, 2018	491	2018
Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network UR Acharya, H Fujita, SL Oh, U Raghavendra, JH Tan, M Adam, ... Future Generation Computer Systems 79, 952-959, 2018	317	2018
Transfer learning techniques for medical image analysis: A review P Kora, CP Ooi, O Faust, U Raghavendra, A Gudigar, WY Chan, ... Biocybernetics and Biomedical Engineering 42 (1), 79-107, 2022	296	2022
Age-related macular degeneration detection using deep convolutional neural network JH Tan, SV Bhandary, S Sivaprasad, Y Hagiwara, A Bagchi, ... Future Generation Computer Systems 87, 127-135, 2018	179	2018
Artificial intelligence techniques for automated diagnosis of neurological disorders U Raghavendra, UR Acharya, H Adeli European neurology 82 (1-3), 41-64, 2020	168	2020
Automated emotion recognition: Current trends and future perspectives M Maithri, U Raghavendra, A Gudigar, J Samanth, PD Barua, ... Computer methods and programs in biomedicine 215, 106646, 2022	153	2022
A review on automatic detection and recognition of traffic sign A Gudigar, S Chokkadi, R U Multimedia Tools and Applications 75, 333-364, 2016	131	2016
Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images UR Acharya, U Raghavendra, H Fujita, Y Hagiwara, JEW Koh, TJ Hong, ... Computers in biology and medicine 79, 250-258, 2016	118	2016
Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study A Gudigar, U Raghavendra, TR San, EJ Ciaccio, UR Acharya Future Generation Computer Systems 90, 359-367, 2019	117	2019
Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images U Raghavendra, UR Acharya, H Fujita, A Gudigar, JH Tan, S Chokkadi Applied Soft Computing 46, 151-161, 2016	117	2016
Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies JEW Koh, UR Acharya, Y Hagiwara, U Raghavendra, JH Tan, SV Sree, ... Computers in biology and medicine 84, 89-97, 2017	92	2017
Automated system for the detection of thoracolumbar fractures using a CNN architecture U Raghavendra, NS Bhat, A Gudigar, UR Acharya Future Generation Computer Systems 85, 184-189, 2018	81	2018
Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesions U Raghavendra, UR Acharya, A Gudigar, JH Tan, H Fujita, Y Hagiwara, ... Ultrasonics 77, 110-120, 2017	80	2017
Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images UR Acharya, H Fujita, S Bhat, U Raghavendra, A Gudigar, F Molinari, ... Information Fusion 29, 32-39, 2016	78	2016
Novel expert system for glaucoma identification using non-parametric spatial envelope energy spectrum with fundus images U Raghavendra, SV Bhandary, A Gudigar, UR Acharya Biocybernetics and Biomedical Engineering 38 (1), 170-180, 2018	74	2018
Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images U Raghavendra, H Fujita, A Gudigar, R Shetty, K Nayak, U Pai, J Samanth, ... Biomedical Signal Processing and Control 40, 324-334, 2018	70	2018
Computer-aided diagnosis for the identification of breast cancer using thermogram images: A comprehensive review U Raghavendra, A Gudigar, TN Rao, EJ Ciaccio, EYK Ng, UR Acharya Infrared Physics & Technology 102, 103041, 2019	68	2019
Role of artificial intelligence in COVID-19 detection A Gudigar, U Raghavendra, S Nayak, CP Ooi, WY Chan, ... Sensors 21 (23), 8045, 2021	63	2021
Automated categorization of multi-class brain abnormalities using decomposition techniques with MRI images: a comparative study A Gudigar, U Raghavendra, EJ Ciaccio, N Arunkumar, E Abdulhay, ... IEEE Access 7, 28498-28509, 2019	55	2019

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