Dr. Shaji Krishnan
Dr. Shaji Krishnan
Sr. Scientist, TNO
Patvirtintas el. paštas
Deconvolution using signal segmentation
RH Jellema, S Krishnan, MMWB Hendriks, B Muilwijk, JTWE Vogels
Chemometrics and Intelligent Laboratory Systems 104 (1), 132-139, 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
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
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
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
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
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
Test Sequence Optimization Method and Design Tool
BJL Vandewiele, S Krishnan
US Patent App. 12/064,047, 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
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
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
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
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, 107158, 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), 1-12, 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
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
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), 1-17, 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
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
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
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Straipsniai 1–20