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13 results on '"Muller, Jean-Denis"'

1. Neuro-Fuzzy Inference System to Learn Expert Decision: Between Performance and Intelligibility

Author

Cornez, Laurence, Samuelides, Manuel, Muller, Jean-Denis, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Wang, Lipo, editor, and Jin, Yaochu, editor

Published
2005
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10. PREDICTION METHOD FOR THE SCREENING, PROGNOSIS, DIAGNOSIS OR THERAPEUTIC RESPONSE OF PROSTATE CANCER, AND DEVICE FOR IMPLEMENTING SAID METHOD

Author

Auribault, Karine, Muller, Jean-Denis, Cancel-Tassin, Géraldine, Cussenot, Olivier, Gazut, Stéphane, Gilardi, Nicolas, Mercier, David, Poli, Jean-Philippe, Ramasso, Emmanuel, Suard, Frédéric, Laboratoire Information, Modèles, Apprentissage [Gif-sur-Yvette] (LIMA), Département Métrologie Instrumentation & Information (DM2I), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Centre de Recherche pour les Pathologies Prostatiques. (CeRePP / UA 3104), CEREPP, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)

Subjects
Artificial intelligence, diagnosis, genetic polymorphism markers, software, screening, online learning, [SDV.CAN]Life Sciences [q-bio]/Cancer, prostate cancer, therapeutic care, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], machine learning, prognosis, [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an]
Abstract

https://patentscope.wipo.int/search/fr/detail.jsf?docId=WO20100128; The invention relates to an individual prediction device for the screening or diagnosis or therapeutic care or prognosis of prostate cancer, that comprises collecting individual input data (xi) and providing risk prediction information (y) related to a type of disease, characterised in that the input data includes at least one variable or variable combination of the genetic type such as the identification of genetic polymorphism markers which are considered to be related with the development of the disease. The invention also relates to an individual prediction device for the screening or diagnosis or medical care or prognosis of prostate cancer, that comprises first means for the input by a user of individual information data, at least a first software interface on which said first means runs, characterised in that it further comprises a software implementing the method of the invention and providing a risk prediction information related to a disease.; L'invention a pour objet un procédé de prédiction individuelle pour le dépistage ou le diagnostic ou la prise en charge thérapeutique ou le pronostic du cancer de la prostate comportant le recueil de données individuelles (xi) d'entrée et la fourniture d'une information prédictive de risque (y) liée à un type de maladie, caractérisé en ce que les données d'entrée comportent au moins une variable ou une combinaison de variables type génétique telles que l'identification de marqueurs de polymorphismes génétiques considérés comme étant liés au développement de la maladie. L'invention a aussi pour objet un dispositif de prédiction individuelle pour le dépistage ou le diagnostic ou la prise en charge thérapeutique ou le pronostic du cancer de la prostate comportant des premiers moyens de saisie de données d'information individuelles par un utilisateur, au moins une première interface logicielle sur laquelle opère lesdits premiers moyens caractérisé en ce qu'il comporte en outre un logiciel mettant en œuvre le procédé de l'invention et fournissant une information prédictive de risque lié à une maladie.

Published
2010

11. Transcriptomic Analysis of Human Retinal Detachment Reveals Both Inflammatory Response and Photoreceptor Death

Author

Delyfer, Marie-Noëlle, primary, Raffelsberger, Wolfgang, additional, Mercier, David, additional, Korobelnik, Jean-François, additional, Gaudric, Alain, additional, Charteris, David G., additional, Tadayoni, Ramin, additional, Metge, Florence, additional, Caputo, Georges, additional, Barale, Pierre-Olivier, additional, Ripp, Raymond, additional, Muller, Jean-Denis, additional, Poch, Olivier, additional, Sahel, José-Alain, additional, and Léveillard, Thierry, additional

Published
2011
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12. Neuro-Fuzzy Inference System to Learn Expert Decision: Between Performance and Intelligibility.

Author

Lipo Wang, Yaochu Jin, Cornez, Laurence, Samuelides, Manuel, and Muller, Jean-Denis

Abstract

We present a discrimation method for seismic events. One event is described by high level features. Since these variables are both quantitative and qualitative, we develop a processing line, on the cross-road of statistics ("Mixtures of Experts") and Artificial Intelligence ("Fuzzy Inference System"). It can be viewed as an original extension of Radial Basis Function Networks. The method provides an efficient trade-off between high performance and intelligibility. We propose also a graphical presentation of the model satisfying the experts' requirements for intelligibility. [ABSTRACT FROM AUTHOR]

Published
2005
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13. SPIKE_4096: A neural integrated circuit for image segmentation.

Author

Goos, Gerhard, Hartmanis, Juris, Leeuwen, Jan, Sipper, Moshe, Mange, Daniel, Pérez-Uribe, Andrés, Rebourg, Jean -Luc, Muller, Jean -Denis, and Samuelides, Manuel

Abstract

An image segmentation algorithm, based on Pulse-Coupled Neural Networks, was implemented in silicon. We aimed at simplifying neuron hardware implementation while maintaining segmentation efficiency. Some algorithmic tricks have then been added, improving the results. The main components of the underlying neuron architecture are a single 8 bits register, a simple incrementer, and some glue logic. A prototype, using a data flow architecture, implementing a 64x64 neuron array, and based on a 0.2 Μm CMOS SOI technology, will be released in 1998. A 64x64 segmentation is expected in less than 50 Μs. [ABSTRACT FROM AUTHOR]

Published
1998
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