Search Results - "Postma, Geert"

Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data by Acquarelli, Jacopo, van Laarhoven, Twan, Postma, Geert J, Jansen, Jeroen J, Rijpma, Anne, van Asten, Sjaak, Heerschap, Arend, Buydens, Lutgarde M. C, Marchiori, Elena

“…Purpose To evaluate the value of convolutional neural network (CNN) in the diagnosis of human brain tumor or Alzheimer’s disease by MR spectroscopic imaging…”
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High-throughput single cell data analysis – A tutorial by Tinnevelt, Gerjen H., Wouters, Kristiaan, Postma, Geert J., Folcarelli, Rita, Jansen, Jeroen J.

“…White blood cells protect the body against disease but may also cause chronic inflammation, auto-immune diseases or leukemia. There are many different white…”
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Chemometrics-assisted microfluidic paper-based analytical device for the determination of uric acid by silver nanoparticle plasmon resonance by Hamedpour, Vahid, Postma, Geert J., van den Heuvel, Edwin, Jansen, Jeroen J., Suzuki, Koji, Citterio, Daniel

“…This manuscript reports on the application of chemometric methods for the development of an optimized microfluidic paper-based analytical device (μPAD). As an…”
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Evaluation and comparison of unsupervised methods for the extraction of spatial patterns from mass spectrometry imaging data (MSI) by Prasad, Mridula, Postma, Geert, Franceschi, Pietro, Buydens, Lutgarde M. C., Jansen, Jeroen J.

“…For the extraction of spatially important regions from mass spectrometry imaging (MSI) data, different clustering methods have been proposed. These clustering…”
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Triple-negative breast cancer: Present challenges and new perspectives by Podo, Franca, Buydens, Lutgarde M.C., Degani, Hadassa, Hilhorst, Riet, Klipp, Edda, Gribbestad, Ingrid S., Van Huffel, Sabine, W.M. van Laarhoven, Hanneke, Luts, Jan, Monleon, Daniel, Postma, Geert J., Schneiderhan-Marra, Nicole, Santoro, Filippo, Wouters, Hans, Russnes, Hege G., Sørlie, Therese, Tagliabue, Elda, Børresen-Dale, Anne-Lise

“…Triple-negative breast cancers (TNBC), characterized by absence of estrogen receptor (ER), progesterone receptor (PR) and lack of overexpression of human…”
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Calculating Required Purification Effort to Turn Source Water Into Drinking Water Using an Adapted CCME Water Quality Index by Doel, André, Kollenburg, Geert H., Remmen, Thomas D. N., Jonge, Joanne A., Postma, Geert J., Tinnevelt, Gerjen H., Stroomberg, Gerard J., Buydens, Lutgarde M. C., Jansen, Jeroen J.

“…The 2000 European Union Water Framework Directive (WFD) states that “Member States shall ensure the necessary protection for the bodies of water identified…”
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Comprehensive multivariate evaluation of the effects on cell phenotypes in multicolor flow cytometry data using ANOVA simultaneous component analysis by Bertinetto, Carlo G., Spijkerman, Roy, Hesselink, Lillian, Tinnevelt, Gerjen H., Bongers, Coen C. W. G., Postma, Geert J., Hopman, Maria T. E., Koenderman, Leo, Jansen, Jeroen J.

“…This work proposes an approach to assess the effects observed in multicolor flow cytometry (MFC) experiments, for all markers and experimental factors…”
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Multi-set Pre-processing of Multicolor Flow Cytometry Data by Folcarelli, Rita, Tinnevelt, Gerjen H., Hilvering, Bart, Wouters, Kristiaan, van Staveren, Selma, Postma, Geert J., Vrisekoop, Nienke, Buydens, Lutgarde M. C., Koenderman, Leo, Jansen, Jeroen J.

“…Flow Cytometry is an analytical technology to simultaneously measure multiple markers per single cell. Ten thousands to millions of single cells can be…”
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Feasibility of MR metabolomics for immediate analysis of resection margins during breast cancer surgery by Bathen, Tone F, Geurts, Brigitte, Sitter, Beathe, Fjøsne, Hans E, Lundgren, Steinar, Buydens, Lutgarde M, Gribbestad, Ingrid S, Postma, Geert, Giskeødegård, Guro F

“…In this study, the feasibility of high resolution magic angle spinning (HR MAS) magnetic resonance spectroscopy (MRS) of small tissue biopsies to distinguish…”
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Combining ANOVA-PCA with POCHEMON to analyse micro-organism development in a polymicrobial environment by Geurts, Brigitte P., Neerincx, Anne H., Bertrand, Samuel, Leemans, Manja A.A.P., Postma, Geert J., Wolfender, Jean-Luc, Cristescu, Simona M., Buydens, Lutgarde M.C., Jansen, Jeroen J.

“…Revealing the biochemistry associated to micro-organismal interspecies interactions is highly relevant for many purposes. Each pathogen has a characteristic…”
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Visualization and Recovery of the (Bio)chemical Interesting Variables in Data Analysis with Support Vector Machine Classification by Krooshof, Patrick W. T., Üstün, Bülent, Postma, Geert J., Buydens, Lutgarde M. C.

“…Support vector machines (SVMs) have become a popular technique in the chemometrics and bioinformatics field, and other fields, for the classification of…”
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A Chemometric Approach for Brain Tumor Classification Using Magnetic Resonance Imaging and Spectroscopy by Simonetti, Arjan W, Melssen, Willem J, van der Graaf, Marinette, Postma, Geert J, Heerschap, Arend, Buydens, Lutgarde M. C

“…A new classification approach was developed to improve the noninvasive diagnosis of brain tumors. Within this approach, information is extracted from magnetic…”
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On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation by Postma, Geert J, Luts, Jan, Idema, Albert J, Julià-Sapé, Margarida, Moreno-Torres, Ángel, Gajewicz, Witek, Suykens, Johan A.K, Heerschap, Arend, Van Huffel, Sabine, Buydens, Lutgarde M.C

“…Abstract In order to evaluate the relevance of magnetic resonance (MR) features selected by automatic feature selection techniques to build classifiers for…”
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Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling by Souza, Francisco, Offermans, Tim, Barendse, Ruud, Postma, Geert, Jansen, Jeroen

“…This work proposes a new data-driven model devised to integrate process knowledge into its structure to increase the human-machine synergy in the process…”
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BaHys—A Bayesian Modeling Framework for Long‐Term Concentration‐Discharge Hysteresis: A Case Study on Chloride by Cairoli, Maria, Souza, Francisco, Stroomberg, Gerard, Postma, Geert, Buydens, Lutgarde, Jansen, Jeroen

“…Improving river water quality requires a thorough understanding of the relationship between constituent concentration and water discharge during runoff events…”
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Investigating the need for preprocessing of near-infrared spectroscopic data as a function of sample size by Schoot, Mark, Kapper, Christiaan, van Kollenburg, Geert H., Postma, Geert J., van Kessel, Gijs, Buydens, Lutgarde M.C., Jansen, Jeroen J.

“…Preprocessing of near-infrared (NIR) spectra is an essential part of multivariate calibration. It mainly aims to remove artefacts caused during measurement to…”
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Predicting the performance of handheld near-infrared photonic sensors from a master benchtop device by Schoot, Mark, Alewijn, Martin, Weesepoel, Yannick, Mueller-Maatsch, Judith, Kapper, Christiaan, Postma, Geert, Buydens, Lutgarde, Jansen, Jeroen

“…Many industries see a shifting focus towards performing on-site analysis using handheld spectroscopic devices. A determining factor for decision-making on the…”
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Machine-learned digital phase switch for sustainable chemical production by Teng, Sin Yong, Galvis, Leonardo, Blanco, Carlos Mendez, Özkan, Leyla, Barendse, Ruud, Postma, Geert, Jansen, Jeroen

“…Batch or semi-batch chemical reaction units often requires multiple operational phases to convert reactants to valuable products. In various chemical…”
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Cost-benefit analysis of calibration model maintenance strategies for process monitoring by Schoot, Mark, Kapper, Christiaan, van Kessel, Gijs, Postma, Geert, Buydens, Lutgarde MC, Jansen, Jeroen J.

“…The long-term prediction performance of spectroscopic calibration models is a critical factor to monitor or control many production processes. Over time, new…”
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Climatic and geographical dependence of the H, C and O stable isotope ratios of Italian wine by Camin, Federica, Dordevic, Nikola, Wehrens, Ron, Neteler, Markus, Delucchi, Luca, Postma, Geert, Buydens, Lutgarde

“…Correlation matrix between (D/H)1, (D/H)2, δ13C and δ18O parameters of wine (4000 samples) and the climatic and geographical characteristics of the areas of…”
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