Patents by Inventor Jonathan Lee Jesneck
Jonathan Lee Jesneck 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).
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Publication number: 20220005596Abstract: The present invention relates to a web-based platform to track medical clinical assignments and to link embedded evaluation instruments to procedure type, for the optimization and improvement of medical clinical education and performance for healthcare professions, and in particular for graduate residents, such as surgical residents. This model is the basis for the platform for physician scoring and profiling to determine physician educational and performance competency with a selected medical procedure. The invention provides methods and systems for improving or optimizing performance tracking of a medical professional.Type: ApplicationFiled: September 15, 2021Publication date: January 6, 2022Applicant: Firefly Lab, LLCInventors: Jonathan Lee Jesneck, Ruchi Mrugesh Thanawala
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Patent number: 11145407Abstract: The present invention relates to a web-based platform to track medical clinical assignments and to link embedded evaluation instruments to procedure type, for the optimization and improvement of medical clinical education and performance for healthcare professions, and in particular for graduate residents, such as surgical residents. This model is the basis for the platform for physician scoring and profiling to determine physician educational and performance competency with a selected medical procedure. The invention provides methods and systems for improving or optimizing performance tracking of a medical professional.Type: GrantFiled: April 20, 2020Date of Patent: October 12, 2021Assignee: Firefly Lab, LLCInventors: Jonathan Lee Jesneck, Ruchi Mrugesh Thanawala
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Patent number: 9251565Abstract: Methods and a computer program product for deriving a super-resolution image of a physical object by fusing cameras of multiple resolutions (spatial, temporal, or spectral), the super-resolution image characterized by a resolution exceeding a “camera imaging resolution” associated with each of a sequence of lower-resolution images of the physical object. The sequence of images of the physical object is obtained at a plurality of relative displacements with respect to the object by a hybrid camera system comprising at least two imaging systems. The imaging systems are characterized by respective temporal and spatial resolution and by spectral sensitivity, and may be distinct from one another in one or more of the foregoing dimensions. The imaging systems are either fixed, or subject to know motion, relative to each other. Image sequences derived by each imaging system are coregistered and deconvolved to solve for a resultant sequence of images.Type: GrantFiled: August 17, 2012Date of Patent: February 2, 2016Assignee: Massachusetts Institute of TechnologyInventors: Long N. Phan, Jonathan Lee Jesneck, Sanjay Sarma
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Patent number: 8818079Abstract: Methods and a computer program product for deriving temperature information with respect to surfaces within a scene that is imaged radiometrically. A time sequence of radiometric data is acquired in frames viewed from distinct angles. A three-dimensional structure of the scene is derived, allowing viewing angles and distances to the imaged surfaces to be inferred. Normalized surface areas of the imaged surfaces are calculated based on the inferred viewing angles and emissivities of the imaged surfaces are corrected accordingly. Corrections also account for background radiation impinging on the imaged surfaces. The radiometric data are converted to a perceptible temperature map of the imaged surfaces.Type: GrantFiled: August 7, 2012Date of Patent: August 26, 2014Assignee: Massachusetts Institute of TechnologyInventors: Long N. Phan, Jonathan Lee Jesneck, Sanjay Sarma
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Patent number: 8750647Abstract: Methods and a computer program product for deriving a super-resolution image of a physical object, the super-resolution image characterized by a resolution exceeding a “camera imaging resolution” associated with each of a sequence of lower-resolution images of the physical object. The sequence of images of the physical object is obtained at a plurality of relative displacements with respect to the object. An offset is passively associated with each of the plurality of images to derive effective camera movement, allowing for calculation of a kinetic point spread function on the basis of the effective camera movement. The image sequence is deconvolved, using the kinetic point spread function, to solve for a high-resolution image. Various applications such as portable cameras and infrared imaging for energy conservation are described.Type: GrantFiled: February 3, 2011Date of Patent: June 10, 2014Assignee: Massachusetts Institute of TechnologyInventors: Jonathan Lee Jesneck, Long N. Phan, Sanjay Sarma
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Publication number: 20140044340Abstract: Methods and a computer program product for deriving temperature information with respect to surfaces within a scene that is imaged radiometrically. A time sequence of radiometric data is acquired in frames viewed from distinct angles. A three-dimensional structure of the scene is derived, allowing viewing angles and distances to the imaged surfaces to be inferred. Normalized surface areas of the imaged surfaces are calculated based on the inferred viewing angles and emissivities of the imaged surfaces are corrected accordingly. Corrections also account for background radiation impinging on the imaged surfaces. The radiometric data are converted to a perceptible temperature map of the imaged surfaces.Type: ApplicationFiled: August 7, 2012Publication date: February 13, 2014Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGYInventors: Long N. Phan, Jonathan Lee Jesneck, Sanjay Sarma
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Publication number: 20130011078Abstract: Methods and a computer program product for deriving a super-resolution image of a physical object by fusing cameras of multiple resolutions (spatial, temporal, or spectral), the super-resolution image characterized by a resolution exceeding a “camera imaging resolution” associated with each of a sequence of lower-resolution images of the physical object. The sequence of images of the physical object is obtained at a plurality of relative displacements with respect to the object by a hybrid camera system comprising at least two imaging systems. The imaging systems are characterized by respective temporal and spatial resolution and by spectral sensitivity, and may be distinct from one another in one or more of the foregoing dimensions. The imaging systems are either fixed, or subject to know motion, relative to each other. Image sequences derived by each imaging system are coregistered and deconvolved to solve for a resultant sequence of images.Type: ApplicationFiled: August 17, 2012Publication date: January 10, 2013Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGYInventors: Long N. Phan, Jonathan Lee Jesneck, Sanjay Sarma
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Publication number: 20120201477Abstract: Methods and a computer program product for deriving a super-resolution image of a physical object, the super-resolution image characterized by a resolution exceeding a “camera imaging resolution” associated with each of a sequence of lower-resolution images of the physical object. The sequence of images of the physical object is obtained at a plurality of relative displacements with respect to the object. An offset is passively associated with each of the plurality of images to derive effective camera movement, allowing for calculation of a kinetic point spread function on the basis of the effective camera movement. The image sequence is deconvolved, using the kinetic point spread function, to solve for a high-resolution image. Various applications such as portable cameras and infrared imaging for energy conservation are described.Type: ApplicationFiled: February 3, 2011Publication date: August 9, 2012Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGYInventors: Jonathan Lee Jesneck, Long N. Phan, Sanjay Sarma