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Jasjit Suri PhD MBA, FIEEE, FAIMBE, FAIUM, FSVM, FAPVS, FAAIA
Jasjit Suri PhD MBA, FIEEE, FAIMBE, FAIUM, FSVM, FAPVS, FAAIA
Global Biomedical Technologies, Inc., CA, USA; Computer Engineering Dept., Idaho State University
Verified email at AtheroPoint.com
Title
Cited by
Cited by
Year
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
39352006
Automated EEG analysis of epilepsy: a review
UR Acharya, SV Sree, G Swapna, RJ Martis, JS Suri
Knowledge-Based Systems 45, 147-165, 2013
9192013
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
7312012
M-health: Emerging mobile health systems
R Istepanian, S Laxminarayan, CS Pattichis
Springer Science & Business Media, 2007
6722007
Epidemiology of lung cancer
MH Tao
Lung Cancer and Imaging, 4-1-4-15, 2019
5972019
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
4922002
Advances in cardiac signal processing
R ACHARYA
Springer, 2007
4552007
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
4172019
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
4122012
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
4072012
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
3932019
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
3832019
Handbook of texture analysis
M Mirmehdi
Imperial College Press, 2008
3512008
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
3242003
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
2982017
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
2902012
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
2882012
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
2842018
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
2832021
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, 1-17, 2018
2802018
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