| Time–frequency feature representation using energy concentration: An overview of recent advances E Sejdić, I Djurović, J Jiang Digital signal processing 19 (1), 153-183, 2009 | 981 | 2009 |
| World guidelines for falls prevention and management for older adults: a global initiative M Montero-Odasso, N Van Der Velde, FC Martin, M Petrovic, MP Tan, ... Age and ageing 51 (9), afac205, 2022 | 892 | 2022 |
| Fractional Fourier transform as a signal processing tool: An overview of recent developments E Sejdić, I Djurović, LJ Stanković Signal Processing 91 (6), 1351-1369, 2011 | 467 | 2011 |
| Internet of medical things: A review of recent contributions dealing with cyber-physical systems in medicine A Gatouillat, Y Badr, B Massot, E Sejdić IEEE internet of things journal 5 (5), 3810-3822, 2018 | 464 | 2018 |
| Association of dual-task gait with incident dementia in mild cognitive impairment: results from the gait and brain study MM Montero-Odasso, Y Sarquis-Adamson, M Speechley, MJ Borrie, ... JAMA neurology 74 (7), 857-865, 2017 | 379 | 2017 |
| Evaluation of clinical practice guidelines on fall prevention and management for older adults: a systematic review MM Montero-Odasso, N Kamkar, F Pieruccini-Faria, A Osman, ... JAMA network open 4 (12), e2138911-e2138911, 2021 | 234 | 2021 |
| Radiological images and machine learning: trends, perspectives, and prospects Z Zhang, E Sejdić Computers in biology and medicine 108, 354-370, 2019 | 228 | 2019 |
| A comprehensive assessment of gait accelerometry signals in time, frequency and time-frequency domains E Sejdić, KA Lowry, J Bellanca, MS Redfern, JS Brach IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (3 …, 2013 | 179 | 2013 |
| A window width optimized S-transform E Sejdić, I Djurović, J Jiang EURASIP Journal on Advances in Signal Processing 2008, 1-13, 2007 | 175 | 2007 |
| Adaptive transcutaneous power transfer to implantable devices: A state of the art review KN Bocan, E Sejdić Sensors 16 (3), 393, 2016 | 167 | 2016 |
| Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram S Al-Zaiti, L Besomi, Z Bouzid, Z Faramand, S Frisch, C Martin-Gill, ... Nature communications 11 (1), 3966, 2020 | 157 | 2020 |
| Carbon nanotube chemiresistor for wireless pH sensing P Gou, ND Kraut, IM Feigel, H Bai, GJ Morgan, Y Chen, Y Tang, K Bocan, ... Scientific reports 4 (1), 4468, 2014 | 150 | 2014 |
| Multimedia signals and systems S Stanković, I Orović, E Sejdić Springer, 2012 | 148 | 2012 |
| Frequency-based window width optimization for S-transform I Djurović, E Sejdić, J Jiang AEU-International Journal of Electronics and Communications 62 (4), 245-250, 2008 | 148 | 2008 |
| Deep belief networks for electroencephalography: A review of recent contributions and future outlooks F Movahedi, JL Coyle, E Sejdić IEEE journal of biomedical and health informatics 22 (3), 642-652, 2017 | 144 | 2017 |
| An empirical examination of detrended fluctuation analysis for gait data S Damouras, MD Chang, E Sejdić, T Chau Gait & posture 31 (3), 336-340, 2010 | 134 | 2010 |
| Motor and cognitive trajectories before dementia: results from gait and brain study M Montero‐Odasso, M Speechley, SW Muir‐Hunter, Y Sarquis‐Adamson, ... Journal of the American Geriatrics Society 66 (9), 1676-1683, 2018 | 126 | 2018 |
| Compressive sensing meets time–frequency: An overview of recent advances in time–frequency processing of sparse signals E Sejdić, I Orović, S Stanković Digital signal processing 77, 22-35, 2018 | 126 | 2018 |
| Necessity of noise in physiology and medicine E Sejdić, LA Lipsitz Computer methods and programs in biomedicine 111 (2), 459-470, 2013 | 126 | 2013 |
| Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction SS Al-Zaiti, C Martin-Gill, JK Zègre-Hemsey, Z Bouzid, Z Faramand, ... Nature Medicine 29 (7), 1804-1813, 2023 | 115 | 2023 |
James L. CoyleProfessor, University of Pittsburghpitt.edu의 이메일 확인됨