| Diagnostic classification of autism using resting-state fMRI data improves with full correlation functional brain connectivity compared to partial correlation JFA Ronicko, J Thomas, P Thangavel, V Koneru, G Langs, J Dauwels Journal of Neuroscience Methods 345, 108884, 2020 | 65 | 2020 |
| Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity MA Reiter, A Jahedi, ARJ Fredo, I Fishman, B Bailey, RA Müller Neural computing and applications 33, 3299-3310, 2021 | 49 | 2021 |
| Classification of damages in composite images using Zernike moments and support vector machines ARJ Fredo, RS Abilash, R Femi, A Mythili, CS Kumar Composites Part B: Engineering 168, 77-86, 2019 | 44 | 2019 |
| Diagnostic Classification of Autism using Resting-State fMRI Data and Conditional Random Forest ARJ Fredo, A Jahedi, M Reiter, RA Müller 40th International Conference on Engineering in Medicine and Biology 12 (2 …, 2018 | 42 | 2018 |
| Segmentation and analysis of damages in composite images using multi-level threshold methods and geometrical features AR Jac Fredo, RS Abilash, C Suresh Kumar Measurement 100, 270-278, 2017 | 24 | 2017 |
| Experimental investigation on the effect of glass fiber orientation on impact damage resistance under cyclic indentation loading using AE monitoring C Suresh Kumar, V Arumugam, JJ Kenned, R Karthikeyan, AR Jac Fredo Nondestructive Testing and Evaluation 35 (4), 408-426, 2020 | 20 | 2020 |
| Segmentation and analysis of corpus callosum in autistic MR brain images using reaction diffusion level sets AR Jac Fredo, G Kavitha, S Ramakrishnan Journal of Medical Imaging and Health Informatics 5 (4), 737-741, 2015 | 20 | 2015 |
| A comparative study on EEG features for neonatal seizure detection S Abirami, J Thomas, R Yuvaraj, JF Agastinose Ronickom Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders …, 2022 | 15 | 2022 |
| Classification of normal and knee joint disorder vibroarthrographic signals using multifractals and support vector machines AR Jac Fredo, TR Josena, P Rajkumar, A Mythili Biomedical Engineering: Applications, Basis and Communications 29 (3), 1-9, 2017 | 15 | 2017 |
| Analysis of muscle fatigue conditions using time-frequency images and GLCM features PA Karthick, M Navaneethakrishna, N Punitha, AR Jac Fredo, ... Current Directions in Biomedical Engineering 2 (1), 483-487, 2016 | 15 | 2016 |
| Automated segmentation and analysis of corpus callosum in Autistic MR brain images using fuzzy-c-means-based level set method AR Jac Fredo, G Kavitha, S Ramakrishnan Journal of Medical and Biological Engineering 35 (3), 331-337, 2015 | 15 | 2015 |
| Segmentation and analysis of brain subcortical regions using regularized multiphase level set in autistic MR images AR Jac Fredo, G Kavitha, S Ramakrishnan International Journal of Imaging Systems and Technology 24 (3), 256-262, 2014 | 15 | 2014 |
| A comparative analysis of eda decomposition methods for improved emotion recognition PS Kumar, PK GOVARTHAN, N GANAPATHY, JACFA RONICKOM Journal of Mechanics in Medicine and Biology 23 (06), 2340043, 2023 | 14 | 2023 |
| Investigation of graphene as a material for electrical contacts in the application of microrelays using finite element modeling F Robert, A Sharma, H Katare, ARJ Fredo Materials Research Express 6 (9), 094008, 2019 | 14 | 2019 |
| Electrodermal activity-based analysis of emotion recognition using temporal-morphological features and machine learning algorithms P Sriram Kumar, PK Govarthan, N Ganapathy, JFA Ronickom Journal of Mechanics in Medicine and Biology 23 (06), 2340044, 2023 | 13 | 2023 |
| Segmentation and morphometric analysis of subcortical regions in autistic MR brain images using fuzzy Gaussian distribution model-based distance regularised multi-phase level set AR Jac Fredo, G Kavitha, S Ramakrishnan International Journal of Biomedical Engineering and Technology 15 (3), 211-223, 2014 | 12 | 2014 |
| Study on the effect of extreme learning machine and its variants in differentiating Alzheimer conditions from selective regions of brain MR images S Shaji, JFA Ronickom, AK Ramaniharan, R Swaminathan Expert Systems with Applications 209, 118250, 2022 | 10 | 2022 |
| Investigation of using CNT and Cu/CNT wires for replacing Cu for power electronics and electrical applications F Robert, AA Prince, ARJ Fredo ECS Journal of Solid State Science and Technology 11 (2), 023011, 2022 | 10 | 2022 |
| Automated damage detection and characterization of polymer composite images using Tsallis‐particle swarm optimization‐based multilevel threshold and multifractals ARJ Fredo, RS Abilash, R Femi, NSM Raja, CS Kumar Polymer Composites, 2020 | 10 | 2020 |
| Low-power hardware accelerator for detrending measured biopotential data R Mittal, AA Prince, S Nalband, F Robert, ARJ Fredo IEEE Transactions on Instrumentation and Measurement 70, 1-9, 2020 | 9 | 2020 |
Praveen Kumar GovarthanPhD. Research Scholar, Department of Applied Mechanics and Biomedical Engineering, IIT Madras, IndiaVerified email at smail.iitm.ac.in
