| Machine learning approaches and databases for prediction of drug–target interaction: a survey paper M Bagherian, E Sabeti, K Wang, MA Sartor, Z Nikolovska-Coleska, ... Briefings in Bioinformatics, 2020 | 277 | 2020 |
| Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome N Reamaroon, MW Sjoding, H Derksen, E Sabeti, J Gryak, RP Barbaro, ... BMC medical imaging 20, 1-13, 2020 | 40 | 2020 |
| Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network M Hajabdollahi, R Esfandiarpoor, E Sabeti, N Karimi, SMR Soroushmehr, ... Biomedical Signal Processing and Control 57, 101792, 2020 | 37 | 2020 |
| Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry E Sabeti, N Reamaroon, M Mathis, J Gryak, M Sjoding, K Najarian Informatics in medicine unlocked 16, 100222, 2019 | 31 | 2019 |
| Data discovery and anomaly detection using atypicality: Theory A Høst-Madsen, E Sabeti, C Walton IEEE Transactions on Information Theory 65 (9), 5302-5322, 2019 | 28* | 2019 |
| Learning using concave and convex kernels: Applications in predicting quality of sleep and level of fatigue in fibromyalgia E Sabeti, J Gryak, H Derksen, C Biwer, S Ansari, H Isenstein, A Kratz, ... Entropy 21 (5), 442, 2019 | 18 | 2019 |
| Learning using partially available privileged information and label uncertainty: application in detection of acute respiratory distress syndrome E Sabeti, J Drews, N Reamaroon, E Warner, MW Sjoding, J Gryak, ... IEEE journal of biomedical and health informatics 25 (3), 784-796, 2020 | 17 | 2020 |
| Data discovery and anomaly detection using atypicality for real-valued data E Sabeti, A Høst-Madsen Entropy 21 (3), 219, 2019 | 16 | 2019 |
| Atypical information theory for real-valued data A Høst-Madsen, E Sabeti 2015 IEEE International Symposium on Information Theory (ISIT), 666-670, 2015 | 12 | 2015 |
| Information theory for atypical sequences A Høst-Madsen, E Sabeti, C Walton 2013 IEEE Information Theory Workshop (ITW), 1-5, 2013 | 11 | 2013 |
| Detection of acute respiratory distress syndrome by incorporation of label uncertainty and partially available privileged information E Sabeti, J Drews, N Reamaroon, J Gryak, M Sjoding, K Najarian 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 8 | 2019 |
| Universal data discovery using atypicality E Sabeti, C Walton, SJ Lim 2016 IEEE International Conference on Big Data (Big Data), 3474-3483, 2016 | 8 | 2016 |
| A pattern dictionary method for anomaly detection E Sabeti, S Oh, PXK Song, AO Hero Entropy 24 (8), 1095, 2022 | 4 | 2022 |
| Enhanced MDL with application to atypicality E Sabeti, A Høst-Madsen 2017 IEEE International Symposium on Information Theory (ISIT), 3225-3229, 2017 | 4 | 2017 |
| Atypicality for the class of exponential family E Sabeti, A Høst-Madsen 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016 | 4 | 2016 |
| Prediction of paroxysmal atrial fibrillation using empirical mode decomposition and RR intervals E Sabeti, MB Shamsollahi, F Afdideh 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 750-754, 2012 | 4 | 2012 |
| Data Discovery Using Lossless Compression-Based Sparse Representation E Sabeti, PXK Song, AO Hero ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 3 | 2021 |
| Pattern-based analysis of time series: Estimation E Sabeti, PXK Song, AO Hero 2020 IEEE International Symposium on Information Theory (ISIT), 1236-1241, 2020 | 3 | 2020 |
| Atypicality for vector gaussian models E Sabeti 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2015 | 3 | 2015 |
| How interesting images are: An atypicality approach for social networks E Sabeti 2016 IEEE International Conference on Big Data (Big Data), 1353-1358, 2016 | 2 | 2016 |
Kayvan NajarianProfessor of Comp Med and Bioinf, Emergency Med, and Electrical and Comp EngineeringVerified email at umich.edu
