| Heart rate variability: a review U Rajendra Acharya, K Paul Joseph, N Kannathal, CM Lim, JS Suri Medical and biological engineering and computing 44 (12), 1031-1051, 2006 | 4294 | 2006 |
| Automated EEG analysis of epilepsy: a review UR Acharya, SV Sree, G Swapna, RJ Martis, JS Suri Knowledge-Based Systems 45, 147-165, 2013 | 1058 | 2013 |
| Automated diagnosis of epileptic EEG using entropies UR Acharya, F Molinari, SV Sree, S Chattopadhyay, KH Ng, JS Suri Biomedical signal processing and control 7 (4), 401-408, 2012 | 769 | 2012 |
| M-health: Emerging mobile health systems R Istepanian, S Laxminarayan, CS Pattichis Springer Science & Business Media, 2007 | 725 | 2007 |
| Epidemiology of lung cancer MH Tao Lung Cancer and Imaging, 4-1-4-15, 2019 | 667 | 2019 |
| Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications L Saba, T Saam, HR Jäger, C Yuan, TS Hatsukami, D Saloner, ... The Lancet Neurology 18 (6), 559-572, 2019 | 540 | 2019 |
| A review on a deep learning perspective in brain cancer classification GS Tandel, M Biswas, OG Kakde, A Tiwari, HS Suri, M Turk, JR Laird, ... Cancers 11 (1), 111, 2019 | 513 | 2019 |
| Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review JS Suri, K Liu, S Singh, SN Laxminarayan, X Zeng, L Reden IEEE Transactions on information technology in biomedicine 6 (1), 8-28, 2002 | 497 | 2002 |
| Advances in cardiac signal processing UR Acharya, SM Krishnan, JAE Spaan, JS Suri springer, 2007 | 487 | 2007 |
| The present and future of deep learning in radiology L Saba, M Biswas, V Kuppili, EC Godia, HS Suri, DR Edla, T Omerzu, ... European journal of radiology 114, 14-24, 2019 | 439 | 2019 |
| A deep look into radiomics C Scapicchio, M Gabelloni, A Barucci, D Cioni, L Saba, E Neri La radiologia medica 126 (10), 1296-1311, 2021 | 431 | 2021 |
| Algorithms for the automated detection of diabetic retinopathy using digital fundus images: a review O Faust, R Acharya U, EYK Ng, KH Ng, JS Suri Journal of medical systems 36 (1), 145-157, 2012 | 429 | 2012 |
| Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals UR ACHARYA, SV Sree, PCA ANG, R YANTI, S JASJIT International Journal of Neural Systems 22 (02), 2012 | 418 | 2012 |
| Method and apparatus for medical image display for surgical tool planning and navigation in clinical environments JS Suri, R Quddus, Y Xu US Patent 6,614,453, 2003 | 401 | 2003 |
| Handbook of texture analysis M Mirmehdi Imperial College Press, 2008 | 366 | 2008 |
| Human activity recognition in artificial intelligence framework: a narrative review N Gupta, SK Gupta, RK Pathak, V Jain, P Rashidi, JS Suri Artificial intelligence review 55 (6), 4755-4808, 2022 | 362 | 2022 |
| Economics of artificial intelligence in healthcare: diagnosis vs. treatment NN Khanna, MA Maindarkar, V Viswanathan, JFE Fernandes, S Paul, ... Healthcare 10 (12), 2493, 2022 | 339 | 2022 |
| Cerebral small vessel disease: a review focusing on pathophysiology, biomarkers, and machine learning strategies E Cuadrado-Godia, P Dwivedi, S Sharma, AO Santiago, JR Gonzalez, ... Journal of stroke 20 (3), 302, 2018 | 339 | 2018 |
| Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm M Maniruzzaman, N Kumar, MM Abedin, MS Islam, HS Suri, AS El-Baz, ... Computer methods and programs in biomedicine 152, 23-34, 2017 | 336 | 2017 |
| Accurate diabetes risk stratification using machine learning: role of missing value and outliers M Maniruzzaman, MJ Rahman, M Al-MehediHasan, HS Suri, MM Abedin, ... Journal of medical systems 42 (5), 92, 2018 | 328 | 2018 |
