| Heart rate variability: a review U Rajendra Acharya, K Paul Joseph, N Kannathal, CM Lim, JS Suri Medical and biological engineering and computing 44, 1031-1051, 2006 | 3571 | 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 | 782 | 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 | 699 | 2012 |
| M-health: Emerging mobile health systems R Istepanian, S Laxminarayan, CS Pattichis Springer Science & Business Media, 2007 | 646 | 2007 |
| Epidemiology of lung cancer MH Tao Lung Cancer and Imaging, 4-1-4-15, 2019 | 521 | 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 | 482 | 2002 |
| Advances in cardiac signal processing UR Acharya, SM Krishnan, JAE Spaan, JS Suri springer, 2007 | 433 | 2007 |
| 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 | 383 | 2012 |
| 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, 145-157, 2012 | 376 | 2012 |
| Handbook of texture analysis M Mirmehdi Imperial College Press, 2008 | 332 | 2008 |
| 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 | 301 | 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 | 297 | 2019 |
| 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 | 289 | 2019 |
| Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features MRK Mookiah, UR Acharya, CM Lim, A Petznick, JS Suri Knowledge-Based Systems 33, 73-82, 2012 | 275 | 2012 |
| Advanced algorithmic approaches to medical image segmentation: state-of-the-art applications in cardiology, neurology, mammography and pathology SK Setarehdan, S Singh Springer Science & Business Media, 2012 | 272 | 2012 |
| Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework UR Acharya, SV Sree, APC Alvin, JS Suri Expert Systems with Applications 39 (10), 9072-9078, 2012 | 272 | 2012 |
| Automated diagnosis of coronary artery disease affected patients using LDA, PCA, ICA and discrete wavelet transform D Giri, UR Acharya, RJ Martis, SV Sree, TC Lim, TA VI, JS Suri Knowledge-based systems 37, 274-282, 2013 | 264 | 2013 |
| A state of the art review on intima–media thickness (IMT) measurement and wall segmentation techniques for carotid ultrasound F Molinari, G Zeng, JS Suri Computer methods and programs in biomedicine 100 (3), 201-221, 2010 | 264 | 2010 |
| 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 | 250 | 2003 |
| 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 | 242 | 2017 |
