| Deconvolution using signal segmentation RH Jellema, S Krishnan, MMWB Hendriks, B Muilwijk, JTWE Vogels Chemometrics and Intelligent Laboratory Systems 104 (1), 132-139, 2010 | 35 | 2010 |
| Exploiting multiple mahalanobis distance metrics to screen outliers from analog product manufacturing test responses S Krishnan, HG Kerkhoff IEEE Design & Test 30 (3), 18-24, 2013 | 29 | 2013 |
| Instrument and process independent binning and baseline correction methods for liquid chromatography–high resolution-mass spectrometry deconvolution S Krishnan, JTWE Vogels, L Coulier, RC Bas, MWB Hendriks, ... Analytica chimica acta 740, 12-19, 2012 | 29 | 2012 |
| The onset of type 2 diabetes: proposal for a multi-scale model F Castiglione, P Tieri, A De Graaf, C Franceschi, P Liò, B Van Ommen, ... JMIR research protocols 2 (2), e2854, 2013 | 19 | 2013 |
| Appetite ratings of foods are predictable with an in vitro advanced gastrointestinal model in combination with an in silico artificial neural network S Bellmann, S Krishnan, A de Graaf, RA de Ligt, WJ Pasman, M Minekus, ... Food research international 122, 77-86, 2019 | 18 | 2019 |
| Feed-forward neural network model for hunger and satiety related VAS score prediction S Krishnan, HFJ Hendriks, ML Hartvigsen, AA de Graaf Theoretical Biology and Medical Modelling 13, 1-12, 2016 | 15 | 2016 |
| Block-level bayesian diagnosis of analogue electronic circuits S Krishnan, KD Doornbos, R Brand, HG Kerkhoff 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010 …, 2010 | 15 | 2010 |
| Test Sequence Optimization Method and Design Tool BJL Vandewiele, S Krishnan US Patent App. 12/064,047, 2008 | 12 | 2008 |
| Seeking windows of opportunity to shape lifelong immune health: a network-based strategy to predict and prioritize markers of early life immune modulation JHM Van Bilsen, R Dulos, MF van Stee, MY Meima, T Rouhani Rankouhi, ... Frontiers in immunology 11, 644, 2020 | 9 | 2020 |
| A Robust Metric for Screening Outliers from Analogue Product Manufacturing Tests Responses S Krishnan, HG Kerkhoff European Test Symposium (ETS), 2011 16th IEEE, 159-164, 2011 | 7 | 2011 |
| Pre‐processing liquid chromatography/high‐resolution mass spectrometry data: extracting pure mass spectra by deconvolution from the invariance of isotopic distribution S Krishnan, EER Verheij, RC Bas, MWB Hendriks, T Hankemeier, ... Rapid Communications in Mass Spectrometry 27 (9), 917-923, 2013 | 6 | 2013 |
| Automated network assembly of mechanistic literature for informed evidence identification to support cancer risk assessment B Scholten, LG Simón, S Krishnan, R Vermeulen, A Pronk, BM Gyori, ... Environmental Health Perspectives 130 (3), 037002, 2022 | 5 | 2022 |
| A computational model of the effects of macronutrients absorption and physical exercise on hormonal regulation and metabolic homeostasis MC Palumbo, AA de Graaf, M Morettini, P Tieri, S Krishnan, F Castiglione Computers in Biology and Medicine 163, 107158, 2023 | 3 | 2023 |
| Determination of physiological parameters for endogenous glucose production in individuals using diurnal data MF van Stee, S Krishnan, AK Groen, AA de Graaf BMC Biomedical Engineering 1, 1-12, 2019 | 3 | 2019 |
| Efficient estimation of die-level process parameter variations via the em-algorithm A Zjajo, S Krishnan, JP de Gyvez 2008 11th IEEE Workshop on Design and Diagnostics of Electronic Circuits and …, 2008 | 3 | 2008 |
| Variance reduction for supply ramp based cheap rf test alternatives S Krishnan, R Jonker, L van de Logt Test Symposium, 2007. ETS'07. 12th IEEE European, 55-62, 2007 | 3 | 2007 |
| A new flexible plug and play scheme for modeling, simulating, and predicting gastric emptying S Krishnan, M van Avesaat, FJ Troost, HFJ Hendriks, AA de Graaf Theoretical Biology and Medical Modelling 11, 1-17, 2014 | 1 | 2014 |
| SOC-V-09 Development of quantitative adverse outcome pathways to address the effects of PFAS on cholesterol metabolism. Benchmarking with human epidemiological data and … J Westerhout, S Krishnan, T Schillemans, A Åkesson, N Kramer, J Louisse, ... Toxicology Letters 368, S67, 2022 | | 2022 |
| Shaping lifelong immune health: A network-based strategy to predict and prioritize markers related to immune interventions in early life J Van Bilsen, R Dulos, M Van Stee, M Meima, RT Rankouhi, NL Jacobsen, ... ALLERGY 75, 24-24, 2020 | | 2020 |
| Development of a biomolecular data computing environment for computer predicted adverse outcome pathways: benzene as a case study S Krishnan, M van Stee, S Ruiter, J Westerhout, B Schaddelee-Scholten, ... 55th Congress of the European-Societies-of-Toxicology (EUROTOX)-Toxicology …, 2019 | | 2019 |
