International Business Machines Corporation

New York University

Stefan Renard Maetschke

Rahil Garnavi

Stefan Harrer

Jeffrey L Rogers

Jianbin Tang

Suman Sedai

Stefan Von Cavallar

Bhavna Josephine Antony

Umar Asif

Erhan Bilal

Tian Hao

Hsin-Hao Yu

Deval Samirbhai Mehta

Hiroshi Ishikawa

Noel Garry Faux

A method, a structure, and a computer system for privacy-preserving motion analysis. Embodiments may include identifying one or more joints of a user based on collected data and generating one or more 3D representations of the one or more joints of the user. Embodiments may further include anonymizing the one or more 3D representations, classifying one or more actions of the user based on the one or more 3D representations, wherein the classifying outputs an action score, and exporting at least one of the one or more actions and the action score.

Privacy-preserving motion analysis

A method, a structure, and a computer system for privacy-preserving motion analysis. Embodiments may include collecting data corresponding to a user with one or more sensors and identifying one or more joints of the user based on the data. Embodiments may additionally include generating one or more 3D representations of the one or more joints of the user and anonymizing the one or more 3D representations by applying thereto a joint-centering and a random shuffling. Embodiments may further include classifying one or more actions of the user based on analysing the one or more 3D representations, and exporting at least one of the data and the one or more actions.

In an aspect for generating device-specific OCT image, one or more processors may be configured for receiving, at a unified domain generator, first image data corresponding to OCT image scans captured by one or more OCT devices; processing, by the unified domain generator, the first image data to generate second image data corresponding to a unified representation of the OCT image scans; determining by a unified discriminator, third image data corresponding to a quality subset of the unified representation of the OCT image scans having a base resolution satisfying a first condition and a base noise type satisfying a second condition; and processing, using a conditional generator, the third image data to generate fourth image data corresponding to device-specific OCT image scans having a device-specific resolution satisfying a third condition and a device-specific noise type satisfying a fourth condition.

Normalizing OCT image data

Aspects of the invention include a computer implemented method for simulating visual field test results from structural scans, the method includes processing eye image data to extract visual functioning related features. Additionally, generating a representation of a visual function of the eye that is independent of a visual field test (VFT) configuration. Then generating a simulated VFT configuration specific test result based at least in part on the representation.

Simulating visual field test from structural scans

A method for real-time detection and correction of shadowing in hyperspectral retinal images may include capturing receiving, using a processor, a hyperspectral image of a retina of a patient, detecting, by the processor, a shadow in the hyperspectral image, determining, by the processor that the shadow of the hyperspectral image exceeds a threshold, and in response to determining that the shadow of the hyperspectral image exceeds the threshold, initiating, using the processor, a capture of an additional hyperspectral image of the retina of the patient. Various other methods, systems, and computer-readable media are also disclosed.

Real-time detection and correction of shadowing in hyperspectral retinal images

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Ascot Vale, Australia

Stefan Renard Maetschke