Patents by Inventor Daniel Nicolas

Daniel Nicolas 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: 20250138965
    Abstract: Method and apparatus for regression testing. A first plurality of sequences of events is generated by executing a plurality of test paths on a first computing environment. A test workload is constructed based on the first plurality of sequences of events. A second plurality of sequences of events is generated by executing the test workload on a second computing environment. One or more variances are identified by comparing the first plurality of sequences of events with the second plurality of sequences of events. And the second computing environment is reconfigured based on the one or more variances.
    Type: Application
    Filed: November 1, 2023
    Publication date: May 1, 2025
    Inventors: Daniel Nicolas GISOLFI, Andrew C. M. HICKS, Tyler Vezio RIMALDI
  • Publication number: 20250131052
    Abstract: A digital content clipping system receives an indication that a first web page has been accessed by a first user, and searches a repository of digital content clips associated with the first web page. In accordance with a determination that the repository does not include any user-generated digital content clips associated with the first web page, the system offers one or more first clipping options based on predefined clip templates, receives selection, by the first user, of one of the first clipping options, extracts a digital content clip of the first web page in accordance with the selected one of the first clipping options, and stores the digital content clip of the first web page in a first clip collection associated with the first web page.
    Type: Application
    Filed: May 20, 2024
    Publication date: April 24, 2025
    Inventors: Ruben Bakker, Daniel Nicolae, Jeffrey A. Shotts, Chen Liu
  • Patent number: 12216187
    Abstract: The disclosure relates to a method for correcting a movement of an object occurring during an MR image acquisition. The method includes: determining a motion model describing possible movements of the object based on a defined number of degrees of freedom; detecting a motion of a marker provided on the object with a motion sensor; determining a description of the motion model in a common coordinate system; determining the motion of the marker in the common coordinate system; determining a first motion of the object in the common coordinate system using the description of the motion model, the first motion being the motion that best matches the determined motion of the marker in the common coordinate system using the defined number of degrees of freedom; and correcting the movement of the object based on the determined first motion in order to determine at least one motion corrected MR image.
    Type: Grant
    Filed: April 8, 2021
    Date of Patent: February 4, 2025
    Assignee: Siemens Healthineers AG
    Inventors: Randall Kroeker, Daniel Kraus, Michael Roas-Löffler, Wilfried Schnell, Daniel Nicolas Splitthoff
  • Publication number: 20250004081
    Abstract: A method for acquiring a magnetic resonance image dataset of a field-of-view using an imaging protocol includes acquiring a low-resolution scout image dataset of the field-of-view, and sets of one or more additional k-space lines within a central region of k-space at regular intervals during the imaging protocol. A contrast of the low-resolution scout image dataset and a contrast of the sets of one or more additional k-space lines are matched and are independent of a contrast of the magnetic resonance image dataset. The low-resolution scout image dataset and the sets of one or more additional k-space lines are acquired after an at least approximately matched magnetization preparation and matched recovery times.
    Type: Application
    Filed: June 28, 2024
    Publication date: January 2, 2025
    Inventors: Daniel Polak, Daniel Nicolas Splitthoff, Stephen Farman Cauley, Thorsten Feiweier, Lawrence L. Wald
  • Patent number: 12130349
    Abstract: A method for reconstructing a motion-corrected magnetic resonance image of a subject includes providing k-space magnetic resonance data including a plurality of shots, wherein each shot corresponds to an individual motion state of the subject. The method further includes providing motion parameters related to each motion state, determining redundancies across the motion states of the plurality of shots based on the motion parameters, compressing the plurality of motion states based on the determined redundancies across the motion states, and reconstructing the magnetic resonance image from the k-space magnetic resonance data based on the compressed plurality of motion states.
    Type: Grant
    Filed: November 21, 2022
    Date of Patent: October 29, 2024
    Assignees: Siemens Healthineers AG, The General Hospital Corporation
    Inventors: Daniel Polak, Stephen Farman Cauley, Daniel Nicolas Splitthoff
  • Publication number: 20240329923
    Abstract: A method for encoding 2D numerical data comprises determining encoding parameters for a received set of 2D numerical data and generating a set of encoded data from the set of 2D numerical data according to the encoding parameters. The encoding parameters indicate a transitional relationship among a plurality of consecutive data points and a unitization interval for sampling the first set of 2D numerical data. When generating the set of encoded data, the encoding method sets a starting point, samples the set of 2D numerical data according to the unitization interval, and determines a string as a value of each data point of the set of the encoded data. The string indicates a position of a present encoded data point in the set of the encoded data, the transitional relationship, and a difference of magnitude between a present encoded data point and an immediately preceding one.
    Type: Application
    Filed: March 30, 2023
    Publication date: October 3, 2024
    Inventors: Andrew C. M. HICKS, Stephanie Carys SHUM, Anthony Gennaro MANGIACAPRA, Marcos ARAQUE FIALLOS, Daniel Nicolas GISOLFI
  • Publication number: 20240320817
    Abstract: Techniques are provided for semiconductor defect loss mitigation. In one embodiment, the techniques involve identifying, based on an indicator, a subset of an input image of a semiconductor, generating, based on the subset of the input image, a composite defect image that represents a collection of pixels that are probabilistic drivers of a classification of a semiconductor defect, identifying, via a coordinate system, a set of potential defects of a first semiconductor, generating, based on the coordinate system and the identified set of potential defects, tags of the first semiconductor, generating, based on the tags of the first semiconductor, a potential defect image, and comparing the potential defect image to the composite defect image to determine a classification of an actual defect represented by the potential defect image.
    Type: Application
    Filed: March 24, 2023
    Publication date: September 26, 2024
    Inventors: Andrew C. M. HICKS, Michael Anthony GAGLIARDI, Nnaemeka Mcdonald ELUAGU, Daniel Nicolas GISOLFI
  • Publication number: 20240306999
    Abstract: A movement detection method is calibrated for a magnetic resonance apparatus. An examination object is positioned on a movement apparatus. During a training phase, training data is recorded according to the movement detection method, wherein the examination object is simultaneously moved by the movement apparatus. The movement detection method is calibrated on the basis of the training data.
    Type: Application
    Filed: March 12, 2024
    Publication date: September 19, 2024
    Inventors: Julian Wohlers, Daniel Nicolas Splitthoff, Tobias Kober, Hans Weber
  • Publication number: 20240206819
    Abstract: A method for generating a motion-corrected MR image dataset of a subject includes: acquiring k-space data of an MR image of a subject in an imaging sequence; acquiring at least two low-resolution scout images of the subject interleaved with the k-space data of the imaging sequence; comparing the scout images with one another in order to detect and/or to estimate subject motion between the scout images; and reconstructing a motion-corrected MR image dataset from the k-space data acquired in the imaging sequence. The reconstruction process includes: estimating the motion trajectory of the subject by comparing the k-space data with at least one of the low-resolution scout images; and estimating the motion-corrected image dataset using the estimated motion trajectory, wherein the estimations involve minimizing the data consistency error between the acquired k-space data and a forward model described by an encoding operator.
    Type: Application
    Filed: November 28, 2023
    Publication date: June 27, 2024
    Inventors: Daniel Polak, Daniel Nicolas Splitthoff, Stephen Farman Cauley
  • Publication number: 20240201297
    Abstract: A method is provided for acquiring a magnetic resonance image dataset of an object, using an imaging protocol in which several k-space lines are acquired in one echo train, wherein the echo train may include one or several sub echo trains, and wherein the imaging protocol includes a plurality of echo trains. Within the method, a set of additional k-space lines within a central region of k-space is acquired a number of times per echo train, wherein the number is greater than 1, in order to detect movement of the object during the echo train. The sets of additional k-space lines are acquired at pre-determined positions within the echo trains. The disclosure is also directed to a method for generating a motion-corrected magnetic resonance image dataset from the dataset thus acquired, a magnetic resonance imaging apparatus, and a computer program.
    Type: Application
    Filed: November 27, 2023
    Publication date: June 20, 2024
    Inventors: Daniel Polak, Daniel Nicolas Splitthoff, Stephen Farman Cauley
  • Publication number: 20240196895
    Abstract: This invention relates to a fungicidal composition comprising: a. oxathiapiprolin, b. metalaxyl-M, and c. a lactamide compound of formula I CH3CH(OH)C(?O)NR1R2 (I) wherein R1 and R2 are each independently hydrogen; or C1-6 alkyl, C2-6 alkenyl or C3-6 cycloalkyl, each of which is optionally substituted by up to three substituents independently selected from phenyl, hydroxy, C1-5 alkoxy, morpholinyl and NR3R4 where R3 and R4 are each independently C1-3 alkyl; or phenyl optionally substituted by up to three substituents independently selected from C1-3 alkyl; or R1 and R2 together with the nitrogen atom to which they are attached form a morpholinyl, pyrrolidinyl, piperidinyl or azepanyl ring, each of which is optionally substituted by up to three substituents independently selected from C1-3 alkyl, the composition comprising at least 40% by weight of said lactamide compound, over the total weight of the composition.
    Type: Application
    Filed: March 25, 2022
    Publication date: June 20, 2024
    Applicant: SYNGENTA CROP PROTECTION AG
    Inventors: Jean-Charles Daniel Nicolas BROQUET, Jenny TELLIS
  • Patent number: 12008032
    Abstract: This application is directed to a method for automatically identifying and transferring relevant image data. The method includes obtaining a plurality of content items from a personal content collection and determining attributes based on the plurality of content items. The method includes generating a plurality of relevance rules. The method further includes obtaining unclassified content items and determining for a first unclassified content item a plurality of aggregate relevance scores using the plurality of relevance rules. The method include determining whether a first aggregate relevance score and/or a second aggregate relevance score satisfy threshold score.
    Type: Grant
    Filed: February 8, 2021
    Date of Patent: June 11, 2024
    Assignee: Bending Spoons S.p.A.
    Inventors: Dylan Marriott, Daniel Nicolae, Ruben Bakker, Alexander Pashintsev, Zdzislaw Pawel Losvik, Eugene Livshitz, Vitaly Glazkov, Boris Gorbatov, Ilya Buryak
  • Publication number: 20240183919
    Abstract: The disclosure relates to receiving a provisioning request for providing a magnetic resonance tomography (MRT) image of a geometric image region of an object, wherein the provisioning request comprises a specification relating to at least one feature that is to be matched between an MRT reference image of the image region and the MRT image. A control unit is configured to actuate and control an MRT apparatus according to the specification in accordance with a predefined measurement technique to conduct a predefined MRT measurement at least on the geometric image region of the object, and to receive an MRT dataset generated in the measurement. The control unit is configured to provide the MRT image of the geometric image region of the object according to the specification from the MRT dataset in accordance with a predefined exporting method.
    Type: Application
    Filed: November 27, 2023
    Publication date: June 6, 2024
    Applicant: Siemens Healthcare GmbH
    Inventors: Wei Liu, Daniel Nicolas Splitthoff, Florian Maier, Thomas Vahle, Heiko Meyer
  • Patent number: 11989244
    Abstract: A digital content clipping system receives an indication that a first web page has been accessed by a first user, and searches a repository of digital content clips associated with the first web page. In accordance with a determination that the repository does not include any user-generated digital content clips associated with the first web page, the system offers one or more first clipping options based on predefined clip templates, receives selection, by the first user, of one of the first clipping options, extracts a digital content clip of the first web page in accordance with the selected one of the first clipping options, and stores the digital content clip of the first web page in a first clip collection associated with the first web page.
    Type: Grant
    Filed: August 26, 2022
    Date of Patent: May 21, 2024
    Assignee: BENDING SPOONS S.p.A.
    Inventors: Ruben Bakker, Daniel Nicolae, Jeffrey A. Shotts
  • Publication number: 20240122495
    Abstract: Techniques are described for detecting a specified substance in an examination object by way of a magnetic resonance apparatus. A controller ascertains a magnetic resonance sequence comprising at least one sub-sequence for detecting at least one substance to be detected in the examination object as a function of the at least one substance to be detected, and ascertains at least one measuring instant for capturing a respective MRT signal to detect the at least one substance to be detected in the examination object as a function of the at least one substance to be detected. The at least one MRT signal is evaluated for fulfillment of a predetermined detection condition, and a presence of the at least one substance to be detected is established when the at least one MRT signal fulfils the predetermined detection condition.
    Type: Application
    Filed: October 12, 2023
    Publication date: April 18, 2024
    Applicant: Siemens Healthcare GmbH
    Inventors: Daniel Nicolas Splitthoff, Heiko Meyer, Thomas Vahle, Florian Maier, Wei Liu, Christianne Leidecker, Gregor Michael Körzdörfer, Peter Gall, Daniel Polak
  • Patent number: 11853750
    Abstract: A computer-implemented method includes receiving a portion of code, inputting the received portion of code to a probabilistic data structure to determine whether the portion of code is similar to one or more other portions of code, and based on determining that the one or more other portions are similar to the received portion of code, identifying a number of similar portions of code. The method also includes storing relationship data that associates the similar portions of code with the received portion of code, determining one or more subject matter experts (SMEs) associated with the similar portions of code and the received portion of code and determining correlations between SME data and the relationship data, and storing the SME data and the correlations, the SME data including an indication of the determined SMEs, the relationship data correlating the one or more SMEs to the received portion of code.
    Type: Grant
    Filed: December 14, 2020
    Date of Patent: December 26, 2023
    Assignee: International Business Machines Corporation
    Inventors: Andrew C. M. Hicks, Robert Peter Catalano, Tyler Vezio Rimaldi, Daniel Nicolas Gisolfi
  • Patent number: 11836060
    Abstract: Inputs to a system under test (SUT) are modeled as a collection of attribute-value pairs. A set of testcases is executed using an initial set of test vectors that provides complete n-wise coverage of the attribute-value pairs. For each execution of the testcases, for each attribute-value pair, a non-binary success rate (SAV) is computed based on the binary execution results. in response to a success rate of an attribute-value pair being below a predetermined threshold, a subset of testcases that use the attribute-value pair is identified. Further, sets of code paths for the subset of testcases are identified, each set of code path respectively corresponding to a testcase from the subset of testcases. Further, an intersection of the sets of code paths is determined. Code paths of the SUT that are in the intersection, are highlighted to represent a soft failure with the SUT.
    Type: Grant
    Filed: October 25, 2021
    Date of Patent: December 5, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Andrew C. M. Hicks, Kevin Minerley, Dale E. Blue, Ryan Thomas Rawlins, Daniel Nicolas Gisolfi
  • Publication number: 20230293039
    Abstract: A method for acquiring a magnetic resonance image dataset of an object includes using an imaging protocol in which a number of k-space lines are acquired in one shot. The imaging protocol includes a plurality of shots. A plurality of additional k-space lines are acquired in at least a subset of the shots, such that movement of the object is detected throughout the imaging protocol. A method for generating a motion-corrected magnetic resonance image dataset from the dataset thus acquired, a magnetic resonance imaging apparatus, and a computer program are also provided.
    Type: Application
    Filed: March 17, 2023
    Publication date: September 21, 2023
    Inventors: Daniel Polak, Daniel Nicolas Splitthoff, Stephen Farman Cauley
  • Publication number: 20230229718
    Abstract: A digital content clipping system receives an indication that a first web page has been accessed by a first user, and searches a repository of digital content clips associated with the first web page. In accordance with a determination that the repository does not include any user-generated digital content clips associated with the first web page, the system offers one or more first clipping options based on predefined clip templates, receives selection, by the first user, of one of the first clipping options, extracts a digital content clip of the first web page in accordance with the selected one of the first clipping options, and stores the digital content clip of the first web page in a first clip collection associated with the first web page.
    Type: Application
    Filed: August 26, 2022
    Publication date: July 20, 2023
    Inventors: Ruben Bakker, Daniel Nicolae, Jeffrey A. Shotts
  • Publication number: 20230200383
    Abstract: The present invention relates to a new trinexapac-ethyl microemulsion composition. Such compositions are useful in agriculture for regulating the growth of plants.
    Type: Application
    Filed: May 20, 2021
    Publication date: June 29, 2023
    Applicant: SYNGENTA CROP PROTECTION AG
    Inventors: Jean-Charles Daniel Nicolas BROQUET, Rina SOLANKI