Noninvasive prediction of glucose by near-infrared diffuse reflectance spectroscopy SF Malin, TL Ruchti, TB Blank, SN Thennadil, SL Monfre Clinical chemistry 45 (9), 1651-1658, 1999 | 969 | 1999 |
Optical properties of human skin in the near infrared wavelength range of 1000 to 2200 nm TL Troy, SN Thennadil Journal of biomedical optics 6 (2), 167-176, 2001 | 838 | 2001 |
Noninvasive measurement of glucose through the optical properties of tissue TL Ruchti, SN Thennadil, TB Blank, A Lorenz, SL Monfre US Patent 6,990,364, 2006 | 410 | 2006 |
Comparison of glucose concentration in interstitial fluid, and capillary and venous blood during rapid changes in blood glucose levels SN Thennadil, JL Rennert, BJ Wenzel, KH Hazen, TL Ruchti, MB Block Diabetes technology & therapeutics 3 (3), 357-365, 2001 | 273 | 2001 |
Indirect measurement of tissue analytes through tissue properties TL Ruchti, TB Blank, AD Lorenz, SL Monfre, KH Hazen, SN Thennadil US Patent 7,039,446, 2006 | 242 | 2006 |
Multi-tier method of developing localized calibration models for non-invasive blood analyte prediction TB Blank, SL Monfre, TL Ruchti, S Thennadil US Patent 6,512,937, 2003 | 233 | 2003 |
Optical properties of apple skin and flesh in the wavelength range from 350 to 2200 nm W Saeys, MA Velazco-Roa, SN Thennadil, H Ramon, BM Nicolaï Applied optics 47 (7), 908-919, 2008 | 185 | 2008 |
Multi-tier method of classifying sample spectra for non-invasive blood analyte prediction SL Monfre, TB Blank, TL Ruchti, S Thennadil US Patent 6,512,936, 2003 | 118 | 2003 |
Quantitative spectroscopic analysis of heterogeneous mixtures: the correction of multiplicative effects caused by variations in physical properties of samples JW Jin, ZP Chen, LM Li, R Steponavicius, SN Thennadil, J Yang, RQ Yu Analytical chemistry 84 (1), 320-326, 2012 | 89 | 2012 |
Relationship between the Kubelka-Munk scattering and radiative transfer coefficients SN Thennadil JOSA A 25 (7), 1480-1485, 2008 | 84 | 2008 |
Physics-based multiplicative scatter correction approaches for improving the performance of calibration models SN Thennadil, H Martens, A Kohler Applied Spectroscopy 60 (3), 315-321, 2006 | 69 | 2006 |
Empirical preprocessing methods and their impact on NIR calibrations: a simulation study SN Thennadil, EB Martin Journal of Chemometrics: A Journal of the Chemometrics Society 19 (2), 77-89, 2005 | 67 | 2005 |
Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach F Bagherzadeh, AS Nouri, MJ Mehrani, S Thennadil Process Safety and Environmental Protection 154, 458-466, 2021 | 66 | 2021 |
Intra-serum and intra-gel for modeling human skin tissue KH Hazen, JM Welch, SF Malin, TL Ruchti, AD Lorenz, TL Troy, ... US Patent 6,475,800, 2002 | 66 | 2002 |
Multi-tier method of developing localized calibration models for non-invasive blood analyte prediction S Monfre, T Blank, T Ruchti, S Thennadil US Patent App. 11/065,223, 2006 | 61 | 2006 |
Extraction of chemical information of suspensions using radiative transfer theory to remove multiple scattering effects: application to a model two-component system R Steponavicius, SN Thennadil Analytical Chemistry 81 (18), 7713-7723, 2009 | 45 | 2009 |
Intra-serum and intra-gel for modeling human skin tissue KH Hazen, JM Welch, SF Malin, TL Ruchti, AD Lorenz, TL Troy, ... US Patent 6,777,240, 2004 | 44 | 2004 |
Sulphate-reducing bacteria’s response to extreme pH environments and the effect of their activities on microbial corrosion TTT Tran, K Kannoorpatti, A Padovan, S Thennadil Applied Sciences 11 (5), 2201, 2021 | 43 | 2021 |
System for the noninvasive estimation of relative age TL Ruchti, S Thennadil, SF Malin, J Rennert US Patent 6,501,982, 2002 | 42 | 2002 |
Automated weighted outlier detection technique for multivariate data SN Thennadil, M Dewar, C Herdsman, A Nordon, E Becker Control Engineering Practice 70, 40-49, 2018 | 39 | 2018 |