Ahmet Tuysuzoglu

US Patent:

20210248736, Aug 12, 2021

Filed:

Jun 13, 2019

Appl. No.:

15/733778

Inventors:

- Erlangen, DE
Ahmet Tuysuzoglu - Jersey City NJ, US
Bin Lou - Princeton NJ, US
Bibo Shi - Monmouth Junction NJ, US
Nicolas Von Roden - St Gallen, CH
Kareem Abdelrahman - Giza, EG
Berthold Kiefer - Erlangen, DE
Robert Grimm - Nürnberg, DE
Heinrich von Busch - Uttenreuth, DE
Mamadou Diallo - Plainsboro NJ, US
Tongbai Meng - Ellicott City MD, US
Dorin Comaniciu - Princeton Junction NJ, US
David Jean Winkel - Basel, CH
Xin Yu - Nashville TN, US

International Classification:

G06T 7/00
G06K 9/62
G06N 20/00
G06T 7/11

Abstract:

Systems and methods are provided for classifying an abnormality in a medical image. An input medical image depicting a lesion is received. The lesion is localized in the input medical image using a trained localization network to generate a localization map. The lesion is classified based on the input medical image and the localization map using a trained classification network. The classification of the lesion is output. The trained localization network and the trained classification network are jointly trained.

US Patent:

20190223819, Jul 25, 2019

Filed:

Jan 24, 2018

Appl. No.:

15/878557

Inventors:

- Erlangen, DE
Tiziano Passerini - Plainsboro NJ, US
Puneet Sharma - Monmouth Junction NJ, US
Terrence Chen - Princeton NJ, US
Ahmet Tuysuzoglu - Franklin Park NJ, US
Shun Miao - Princeton NJ, US
Alexander Brost - Erlangen, DE

International Classification:

A61B 6/00
A61B 5/0408
A61B 5/00
G06T 7/10
G06T 17/20
G06T 15/20
G06T 7/00
G06N 99/00

Abstract:

For non-invasive EP mapping, a sparse number of electrodes (e.g., 10 in a typical 12-lead ECG exam setting) are used to generate an EP map without requiring preoperative 3D image data (e.g. MR or CT). An imager (e.g., a depth camera) captures the surface of the patient and may be used to localize electrodes in any positioning on the patient. Two-dimensional (2D) x-rays, which are commonly available, and the surface of the patient are used to segment the heart of the patient. The EP map is then generated from the surface, heart segmentation, and measurements from the electrodes.

US Patent:

20190220977, Jul 18, 2019

Filed:

Jan 16, 2018

Appl. No.:

15/872408

Inventors:

- Erlangen, DE
Shun Miao - Princeton NJ, US
Rui Liao - West Windsor Township NJ, US
Ahmet Tuysuzoglu - Franklin Park NJ, US
Yefeng Zheng - Princeton Junction NJ, US

International Classification:

G06T 7/00
G06K 9/62
G06T 5/50

Abstract:

Methods and apparatus for cross-domain medical image analysis and cross-domain medical image synthesis using deep image-to-image networks and adversarial networks are disclosed. In a method for cross-domain medical image analysis a medical image of a patient from a first domain is received. The medical image is input to a first encoder of a cross-domain deep image-to-image network (DI2IN) that includes the first encoder for the first domain, a second encoder for a second domain, and a decoder. The first encoder converts the medical image to a feature map and the decoder generates an output image that provides a result of a medical image analysis task from the feature map. The first encoder and the second encoder are trained together at least in part based on a similarity of feature maps generated by the first encoder from training images from the first domain and feature maps generated by the second encoder from training images from the second domain, and the decoder is trained to generate output images from feature maps generated by the first encoder or the second encoder.

US Patent:

20170018116, Jan 19, 2017

Filed:

Jul 12, 2016

Appl. No.:

15/207540

Inventors:

- Malvern PA, US
- Erlangen, DE
Ahmet Tuysuzoglu - Plainsboro NJ, US
Ankur Kapoor - Plainsboro NJ, US
Günter Lauritsch - Nurnberg, DE
Terrence Chen - Princeton NJ, US

International Classification:

G06T 17/10
G06T 7/00

Abstract:

A method for reconstructing 3-D vessel geometry of a vessel includes: receiving a plurality of 2-D rotational X-ray images of the vessel; extracting vessel centerline points for normal cross sections of each of the plurality of 2-D images; establishing a correspondence of the centerline points; constructing a 3-D centerline vessel tree skeleton of the vessel; constructing an initial 3-D vessel surface having a uniform radius normal to the 3-D centerline vessel tree skeleton; and constructing a target 3-D vessel surface by deforming the initial vessel surface to provide a reconstructed 3-D vessel geometry of the vessel.

US Patent:

20160282253, Sep 29, 2016

Filed:

Oct 28, 2014

Appl. No.:

15/032960

Inventors:

- Boston MA, US
George DAABOUL - Amesburg MA, US
Margo R. MONROE - Cambridge MA, US
Carlos LOPEZ - Brighton MA, US
Ahmet TUYSUZOGLU - Brighton MA, US

International Classification:

G01N 15/10
G02B 21/06
G02B 21/02
G01N 33/543
G02B 7/09
G01N 15/14
C12Q 1/68
G02B 21/34
G02B 21/36

Abstract:

Systems and methods for high-throughput processing of assay plates include a calibration nanoparticle to facilitate automated focusing of the imaging system. An assay plate includes a base layer, a transparent layer in contact with the base layer, and at least one calibration nanoparticle having a pre-defined size immobilized on the assay plate surface. The assay plate surface can be functionalized to selectively bind to biological targets. The assay plate can be used in an imaging system for high-throughput autofocus and biological target detection.