Philippe Smagghe

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The aim of this open study was to determine a more rational therapeutic approach for psychotic patients treated with clozapine for several months, using measurement of plasma and red blood cell levels (P, RBC) of clozapine (cloza) and N-desmethylclozapine (descloza), the major metabolite of clozapine, which has been reported to be less active but more toxic(More)
Image Receptive Fields Neural Network (IRF-NN) is a variant of feedforward multi-layer perceptrons adapted to image recognition. It shows very fast training as well as robust and accurate results on supervised classification tasks. This paper presents another property of IRF-NN: responses of trained networks can be analysed to detect unknown images. Several(More)
This article introduces an original method of image detection and localization in a picture by scoring the output of a neural network to indicate an already seen (Déjà Vu) input. The classifier is a feedforward multi-layer perceptron adapted to supervised image recognition named Image Receptive Fields Neural Network (IRF-NN). It has(More)
1. The aim of the study was to determine if a more rational therapeutic approach could be devised for neuroleptic resistant psychotic patients treated for months and years with clozapine. Clozapine is an atypical antipsychotic medication, but its therapeutic benefit has been limited by a high incidence of agranulocytosis and seizures. 2. The study has been(More)
This article describes the structure of the Image Receptive Fields Neural Network (IRF-NN), introduced recently by our team. This structure extends simplified learning introduced by Extreme Learning Machine and Reservoir Computing techniques to the field of images. Neurons are organized in a single hidden layer feedforward network architecture with an(More)
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