| Applications of machine learning in human microbiome studies: a review on feature selection, biomarker identification, disease prediction and treatment LJ Marcos-Zambrano, K Karaduzovic-Hadziabdic, T Loncar Turukalo, ... Frontiers in microbiology 12, 634511, 2021 | 256 | 2021 |
| An open access database for the evaluation of respiratory sound classification algorithms BM Rocha, D Filos, L Mendes, G Serbes, S Ulukaya, YP Kahya, ... Physiological measurement 40 (3), 035001, 2019 | 247 | 2019 |
| Literature on wearable technology for connected health: scoping review of research trends, advances, and barriers T Loncar-Turukalo, E Zdravevski, JM da Silva, I Chouvarda, V Trajkovik Journal of medical Internet research 21 (9), e14017, 2019 | 229 | 2019 |
| Hidden markov model based respiratory sound classification N Jakovljević, T Lončar-Turukalo Precision Medicine Powered by pHealth and Connected Health: ICBHI 2017 …, 2018 | 118 | 2018 |
| Heart rate dynamics in doxorubicin-induced cardiomyopathy T Lončar-Turukalo, M Vasić, T Tasić, G Mijatović, S Glumac, D Bajić, ... Physiological measurement 36 (4), 727, 2015 | 46 | 2015 |
| Temporal analysis of the spontaneous baroreceptor reflex during mild emotional stress in the rat D Bajić, T Lončar-Turukalo, S Stojičić, O Šarenac, T Bojić, D Murphy, ... Stress 13 (2), 142-154, 2010 | 42 | 2010 |
| A simple suboptimal construction of cross-bifix-free codes D Bajic, T Loncar-Turukalo Cryptography and Communications 6, 27-37, 2014 | 34 | 2014 |
| A machine learning approach for an early prediction of preterm delivery D Despotović, A Zec, K Mladenović, N Radin, TL Turukalo 2018 IEEE 16th International Symposium on Intelligent Systems and …, 2018 | 30 | 2018 |
| Temporal sequence parameters in isodistributional surrogate data: model and exact expressions TL Turukalo, D Bajic, NJ Zigon IEEE transactions on biomedical engineering 58 (1), 16-24, 2010 | 27 | 2010 |
| An information-theoretic framework to measure the dynamic interaction between neural spike trains G Mijatovic, Y Antonacci, T Loncar-Turukalo, L Minati, L Faes IEEE Transactions on Biomedical Engineering 68 (12), 3471-3481, 2021 | 24 | 2021 |
| Leveraging interdisciplinary education toward securing the future of connected health research in Europe: qualitative study I Chouvarda, N Mountford, V Trajkovik, T Loncar-Turukalo, T Cusack Journal of medical Internet research 21 (11), e14020, 2019 | 23 | 2019 |
| Unbiased entropy estimates in stress: A parameter study A Boskovic, T Loncar-Turukalo, O Sarenac, N Japundzic-Zigon, D Bajic Computers in Biology and Medicine 42 (6), 667-679, 2012 | 23 | 2012 |
| Literature on applied machine learning in metagenomic classification: a scoping review P Tonkovic, S Kalajdziski, E Zdravevski, P Lameski, R Corizzo, IM Pires, ... Biology 9 (12), 453, 2020 | 22 | 2020 |
| Cardiovascular variability and β-ars gene expression at two stages of doxorubicin–induced cardiomyopathy M Vasić, T Lončar-Turukalo, T Tasić, M Matić, S Glumac, D Bajić, ... Toxicology and applied pharmacology 362, 43-51, 2019 | 22 | 2019 |
| Comparison of Gabor filter bank and fuzzified Gabor filter for license plate detection V Tadic, Z Kiraly, P Odry, Z Trpovski, T Loncar-Turukalo Acta Polytechnica Hungarica 17 (1), 1-21, 2020 | 21 | 2020 |
| Connected Health in Europe: Where are we today? N Mountford, T Kessie, M Quinlan, R Maher, R Smolders, P Van Royen, ... University College Dublin, 2016 | 15 | 2016 |
| Image compression by decomposition into bit planes T Loncar-Turukalo, V Crnojevic, Z Trpovski 5th International Conference on Telecommunications in Modern Satellite …, 2001 | 14 | 2001 |
| Applications of machine learning in human microbiome studies: a review on feature selection, biomarker identification, disease prediction and treatment. Front Microbiol 12: 634511 LJ Marcos-Zambrano, K Karaduzovic-Hadziabdic, T Loncar Turukalo, ... | 13 | 2021 |
| Return to work after lumbar microdiscectomy–personalizing approach through predictive modeling M Papić, S Brdar, V Papić, T Lončar-Turukalo pHealth 2016, 181-183, 2016 | 13 | 2016 |
| Melanoma risk prediction models J Nikolić, T Lončar-Turukalo, S Sladojević, M Marinković, Z Janjić Vojnosanitetski pregled 71 (8), 757-766, 2014 | 12 | 2014 |
Gorana MijatovicFaculty of Technical Sciences, University of Novi SadZweryfikowany adres z uns.ac.rs
