Patents by Inventor Ali Mansour

Ali Mansour has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240108276
    Abstract: A method for identifying the presence or progression of hypoxic ischemic brain injury includes, for each subset of one or more subsets of a three-dimensional medical image of a head of a patient: (i) inputting said each subset into a machine-learning model, (ii) extracting one or more features or feature maps from the machine-learning model, and (iii) constructing, based on the one or more features or feature maps, one of a sequence of vectors. The sequence of vectors is then pooled to obtain a scan-level vector that is used to obtain a score indicating HIBI presence or progression in the patient. For example, the scan-level vector can be inputted into a pre-trained classifier that generates the score based on the scan-level vector. The machine-learning model may be a pre-trained conventional neural network or support vector machine.
    Type: Application
    Filed: February 1, 2022
    Publication date: April 4, 2024
    Inventors: Jordan D. FUHRMAN, Ali MANSOUR, Maryellen L. GIGER, Fernando D. GOLDENBERG
  • Patent number: 9222905
    Abstract: Device for the selective detection of benzene gas, which comprises, on a base substrate, a combination of at least one functionalized multi- or single-wall carbon nanotube sensor decorated with rhodium clusters, and at least one functionalized multi- or single-wall carbon nanotube sensor decorated with metal clusters selected from gold, palladium, nickel and titanium, and/or undecorated, where said substrate additionally comprises means for measuring the variation in the resistance of said sensors. The device is useful at ambient temperature in the presence or absence of oxygen and easy to handle. It also relates to a method for the manufacturing thereof and for detecting the gas in the chemical industry, the petrochemical industry, petrol stations, or household, aeronautical or research applications.
    Type: Grant
    Filed: November 2, 2010
    Date of Patent: December 29, 2015
    Assignees: Universitat Rovira I Virgili, Sensotran, S.L., University Of Namur, Centre de Recherche Public—Gabriel Lippmann, Université Libre de Bruxelles
    Inventors: Eduard Llobet Valero, Radouane Leghrib, Marc Delgado Olivella, Jean-Jacques Pireaux, Alexandre Felten, Jérôme Guillot, Henri-Nöel Migeon, Ali Mansour, François Amand Baudouin Reniers, Nicolas Yves Claessens, Frédéric Gilbert Michel Demoisson
  • Publication number: 20120247180
    Abstract: Device for the selective detection of benzene gas, which comprises, on a base substrate, a combination of at least one functionalised multi- or single-wall carbon nanotube sensor decorated with rhodium clusters, and at least one functionalised multi- or single-wall carbon nanotube sensor decorated with metal clusters selected from gold, palladium, nickel and titanium, and/or undecorated, where said substrate additionally comprises means for measuring the variation in the resistance of said sensors. The device is useful at ambient temperature in the presence or absence of oxygen and easy to handle. It also relates to a method for the manufacturing thereof and for detecting the gas in the chemical industry, the petrochemical industry, petrol stations, or household, aeronautical or research applications.
    Type: Application
    Filed: November 2, 2010
    Publication date: October 4, 2012
    Inventors: Eduard Llobet Valero, Radouane Leghrib, Marc Delgado Olivella, Jean-Jacques Pireaux, Alexandre Felten, Jérôme Guillot, Henri-Nöel Migeon, Ali Mansour, François Amand Baudouin Reniers, Nicolas Yves Claessens, Frédéric Gilbert Michel Demoisson