Patents by Inventor Meindert Niemeijer
Meindert Niemeijer 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: 20240095924Abstract: Systems and methods are provided herein for minimizing retinal exposure to flash during image gathering for diagnosis. In an embodiment, a system captures a plurality of retinal images of different retinal regions. The system determines that a first portion of a first image does not meet a criterion while a second portion of the first image does meet the criterion, identifies a portion of the retina depicted in the first portion that does not meet the criterion, and determines whether the portion of the retina is depicted in a third portion of a second image and whether the third portion meets the criterion. Responsive to determining that the third portion meets the criterion, the system performs the diagnosis. Responsive to determining that the portion of the retina is not depicted in the second image, the system captures an additional image of the retinal region.Type: ApplicationFiled: November 29, 2023Publication date: March 21, 2024Inventors: Warren James Clarida, Ryan Earl Rohret Amelon, Abhay Shah, Jacob Patrick Suther, Meindert Niemeijer, Michael David Abramoff
-
Patent number: 11880976Abstract: Systems and methods are provided herein for minimizing retinal exposure to flash during image gathering for diagnosis. In an embodiment, a system captures a plurality of retinal images of different retinal regions. The system determines that a first portion of a first image does not meet a criterion while a second portion of the first image does meet the criterion, identifies a portion of the retina depicted in the first portion that does not meet the criterion, and determines whether the portion of the retina is depicted in a third portion of a second image and whether the third portion meets the criterion. Responsive to determining that the third portion meets the criterion, the system performs the diagnosis. Responsive to determining that the portion of the retina is not depicted in the second image, the system captures an additional image of the retinal region.Type: GrantFiled: March 15, 2021Date of Patent: January 23, 2024Assignee: Digital Diagnostics Inc.Inventors: Warren James Clarida, Ryan Earl Rohret Amelon, Abhay Shah, Jacob Patrick Suther, Meindert Niemeijer, Michael David Abramoff
-
Publication number: 20230419485Abstract: Provide are systems methods and devices for diagnosing disease in medical images.Type: ApplicationFiled: September 12, 2023Publication date: December 28, 2023Inventors: Meindert Niemeijer, Ryan Amelon, Warren Clarida, Michael D. Abramoff
-
Patent number: 11790523Abstract: A device receives an input image of a portion of a patient's body, and applies the input image to a feature extraction model, the feature extraction model comprising a trained machine learning model that is configured to generate an output that comprises, for each respective location of a plurality of locations in the input image, an indication that the input image contains an object of interest that is indicative of a presence of a disease state at the respective location. The device applies the output of the feature extraction model to a diagnostic model, the diagnostic model comprising a trained machine learning model that is configured to output a diagnosis of a disease condition in the patient based on the output of the feature extraction model. The device outputs the determined diagnosis of a disease condition in the patient obtained from the diagnostic model.Type: GrantFiled: October 30, 2018Date of Patent: October 17, 2023Assignee: Digital Diagnostics Inc.Inventors: Meindert Niemeijer, Ryan Amelon, Warren Clarida, Michael D. Abramoff
-
Publication number: 20230255478Abstract: The methods and systems provided can automatically determine an Arteriolar-to-Venular diameter Ratio, AVR, in blood vessels, such as retinal blood vessels and other blood vessels in vertebrates. The AVR is an important predictor of increases in the risk for stroke, cerebral atrophy, cognitive decline, and myocardial infarct.Type: ApplicationFiled: March 17, 2023Publication date: August 17, 2023Inventors: Michael D. Abramoff, Meindert Niemeijer, Xiayu Xu, Milan Sonka, Joseph M. Reinhardt
-
Patent number: 11638522Abstract: The methods and systems provided can automatically determine an Arteriolar-to-Venular diameter Ratio, AVR, in blood vessels, such as retinal blood vessels and other blood vessels in vertebrates. The AVR is an important predictor of increases in the risk for stroke, cerebral atrophy, cognitive decline, and myocardial infarct.Type: GrantFiled: March 26, 2018Date of Patent: May 2, 2023Assignees: University of Iowa Research Foundation, United States Government as Represented by the Department of Veterans AffairsInventors: Michael D. Abramoff, Meindert Niemeijer, Xiayu Xu, Milan Sonka, Joseph M. Reinhardt
-
Publication number: 20220114719Abstract: Disclosed is a system for qualifying medical images submitted by user for diagnostic analysis comprising: an image input module, configured to receive one or more image input by a user; an image protocol conformation module, configured to receive the one or more images from the image input module, and further configured to analyze each of the one or more images for conformity with a predefined protocol and wherein images that do not conform to the predefined protocol are flagged as non-conforming images; an image output module, configured to identify to the user each of the one or more images flagged as non-conforming and prompting the user to resubmit a new image for each of the non-conforming images; and an image resubmission module, configured to receive the user resubmitted image and provide the resubmitted image to the image protocol conformation module.Type: ApplicationFiled: December 21, 2021Publication date: April 14, 2022Inventors: Michael D. Abramoff, Ben Clark, Eric Talmage, John Casko, Warren Clarida, Meindert Niemeijer, Timothy Dinolfo, Tay Stutts
-
Publication number: 20220054006Abstract: Systems and methods are disclosed herein for detecting eye alignment during retinal imaging. In an embodiment, the system receives an infrared stream from an imaging device, the infrared stream showing characteristics of an eye of a patient. The system determines, based on the infrared stream, that the eye is improperly aligned at a first time, and outputs sensory feedback indicative of the improper alignment. The system detects, based on the infrared stream at a second time later than the first time, that the eye is properly aligned, and receives an image of a retina of the properly aligned eye from the imaging device.Type: ApplicationFiled: August 19, 2020Publication date: February 24, 2022Inventors: Warren James Clarida, Ryan Earl Rohret Amelon, Abhay Shah, Jacob Patrick Suther, Meindert Niemeijer, Michael David Abramoff
-
Patent number: 11232548Abstract: Disclosed is a system for qualifying medical images submitted by user for diagnostic analysis comprising: an image input module, configured to receive one or more image input by a user; an image protocol conformation module, configured to receive the one or more images from the image input module, and further configured to analyze each of the one or more images for conformity with a predefined protocol and wherein images that do not conform to the predefined protocol are flagged as non-conforming images; an image output module, configured to identify to the user each of the one or more images flagged as non-conforming and prompting the user to resubmit a new image for each of the non-conforming images; and an image resubmission module, configured to receive the user resubmitted image and provide the resubmitted image to the image protocol conformation module.Type: GrantFiled: March 22, 2017Date of Patent: January 25, 2022Assignee: Digital Diagnostics Inc.Inventors: Michael D. Abramoff, Ben Clark, Eric Talmage, John Casko, Warren Clarida, Meindert Niemeijer, Timothy Dinolfo, Tay Stutts
-
Publication number: 20210290055Abstract: Systems and methods are disclosed herein for adjusting flash intensity based on retinal pigmentation. In an embodiment, a processor determines a retinal pigmentation of a retina of an eye positioned at an imaging device. The processor commands the imaging device to adjust an intensity of a flash component from a first intensity to a second intensity based on the retinal pigmentation. The processor commands the imaging device to capture an image that is lit by the flash component at the second intensity, and receives the image from the imaging device.Type: ApplicationFiled: March 15, 2021Publication date: September 23, 2021Inventors: Warren James Clarida, Ryan Earl Rohret Amelon, Abhay Shah, Jacob Patrick Suther, Meindert Niemeijer, Michael David Abramoff
-
Publication number: 20210295516Abstract: Systems and methods are provided herein for minimizing retinal exposure to flash during image gathering for diagnosis. In an embodiment, a system captures a plurality of retinal images of different retinal regions. The system determines that a first portion of a first image does not meet a criterion while a second portion of the first image does meet the criterion, identifies a portion of the retina depicted in the first portion that does not meet the criterion, and determines whether the portion of the retina is depicted in a third portion of a second image and whether the third portion meets the criterion. Responsive to determining that the third portion meets the criterion, the system performs the diagnosis. Responsive to determining that the portion of the retina is not depicted in the second image, the system captures an additional image of the retinal region.Type: ApplicationFiled: March 15, 2021Publication date: September 23, 2021Inventors: Warren James Clarida, Ryan Earl Rohret Amelon, Abhay Shah, Jacob Patrick Suther, Meindert Niemeijer, Michael David Abramoff
-
Publication number: 20190130566Abstract: Provide are systems methods and devices for diagnosing disease in medical images.Type: ApplicationFiled: October 30, 2018Publication date: May 2, 2019Inventors: Meindert Niemeijer, Ryan Amelon, Warren Clarida, Michael D. Abramoff
-
Publication number: 20190059718Abstract: The methods and systems provided can automatically determine an Arteriolar-to-Venular diameter Ratio, AVR, in blood vessels, such as retinal blood vessels and other blood vessels in vertebrates. The AVR is an important predictor of increases in the risk for stroke, cerebral atrophy, cognitive decline, and myocardial infarct.Type: ApplicationFiled: March 26, 2018Publication date: February 28, 2019Applicants: University of Iowa Research Foundation, The United States of America, as represented by the Secretary of the Department of Veterans AffairInventors: Michael D. Abramoff, Meindert Niemeijer, Xiayu Xu, Milan Sonka, Joseph M. Reinhardt
-
Patent number: 10115194Abstract: Provided is a method for training a neural network to detect features in a retinal image. The method may include the steps of: combining and randomizing feature images into a Training data set; combining and randomizing the feature images into a testing dataset; training a plurality of neural networks having different architectures using a subset of the training dataset while testing on a subset of the testing dataset; identifying the best neural network based on each of the plurality of neural networks performance on the testing data set; inputting images to the best neural network and identifying a limited number of false positives and false negative and adding the false positives and false negatives to the training dataset and testing dataset; and repeating the foregoing steps until an objective performance threshold is reached.Type: GrantFiled: April 6, 2016Date of Patent: October 30, 2018Assignee: IDx, LLCInventors: Meindert Niemeijer, Ryan Amelon, Warrent Claride, Michael D. Abramoff
-
Publication number: 20170278241Abstract: Disclosed is a system for qualifying medical images submitted by user for diagnostic analysis comprising: an image input module, configured to receive one or more image input by a user; an image protocol conformation module, configured to receive the one or more images from the image input module, and further configured to analyze each of the one or more images for conformity with a predefined protocol and wherein images that do not conform to the predefined protocol are flagged as non-conforming images; an image output module, configured to identify to the user each of the one or more images flagged as non-conforming and prompting the user to resubmit a new image for each of the non-conforming images; and an image resubmission module, configured to receive the user resubmitted image and provide the resubmitted image to the image protocol conformation module.Type: ApplicationFiled: March 22, 2017Publication date: September 28, 2017Inventors: Michael D. Abramoff, Ben Clark, Eric Talmage, John Casko, Warrent Claride, Meindert Niemeijer, Timothy Dinolfo, Tay Stutts
-
Publication number: 20160292856Abstract: Provide are systems methods and devices for diagnosing disease in medical images.Type: ApplicationFiled: April 6, 2016Publication date: October 6, 2016Inventors: Meindert Niemeijer, Ryan Amelon, Warrent Claride, Michael D. Abramoff
-
Patent number: 8194936Abstract: Methods and systems for image registration implementing a feature-based strategy that uses a retinal vessel network to identify features, uses an affine registration model estimated using feature correspondences, and corrects radial distortion to minimize the overall registration error. Also provided are methods and systems for retinal atlas generation. Further provided are methods and systems for testing registration methods.Type: GrantFiled: April 27, 2009Date of Patent: June 5, 2012Assignee: University of Iowa Research FoundationInventors: Michael Abramoff, Meindert Niemeijer, Sangyeol Lee, Joseph Reinhardt
-
Publication number: 20100061601Abstract: Methods and systems for image registration implementing a feature-based strategy that uses a retinal vessel network to identify features, uses an affine registration model estimated using feature correspondences, and corrects radial distortion to minimize the overall registration error. Also provided are methods and systems for retinal atlas generation. Further provided are methods and systems for testing registration methods.Type: ApplicationFiled: April 27, 2009Publication date: March 11, 2010Inventors: Michael Abramoff, Meindert Niemeijer, Sangyeol Lee, Joseph Reinhardt
-
Patent number: 7474775Abstract: Disclosed is an automated method which can detect images containing red lesions. First, each image is preprocessed; next, candidate objects that may represent red-lesions are extracted; and in the final stage the probability for each candidate to represent a red-lesion is estimated using a classifier and a large set of specifically designed features.Type: GrantFiled: March 29, 2006Date of Patent: January 6, 2009Assignee: University of Iowa Research FoundationInventors: Michael D. Abrà moff, Bram van Ginneken, Meindert Niemeijer
-
Publication number: 20060257031Abstract: Disclosed is an automated method which can detect images containing red lesions. First, each image is preprocessed; next, candidate objects that may represent red-lesions are extracted; and in the final stage the probability for each candidate to represent a red-lesion is estimated using a classifier and a large set of specifically designed features.Type: ApplicationFiled: March 29, 2006Publication date: November 16, 2006Inventors: Michael Abramoff, Bram Ginneken, Meindert Niemeijer