公开(公告)号：EP4381516A1

公开(公告)日：2024-06-12

申请号：EP22757501.6

申请日：2022-07-21

Applicant: Koninklijke Philips N.V.

Inventor： SAWARKAR, Abhivyakti

IPC: G16H10/60 ,  G06V10/22 ,  G06V10/77 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70

CPC classification number: G16H50/20 ,  G16H50/70 ,  G16H30/40 ,  G16H10/60 ,  G06V10/82 ,  G06V10/774 ,  G06V2201/0320220101

公开(公告)号：EP4377840A2

公开(公告)日：2024-06-05

申请号：EP22850389.2

申请日：2022-07-29

Applicant: Get-Grin Inc.

Inventor： LIPNIK, Alon Luis ,  EILAT-BLOCH, Yarden ,  KRAMS, Oded ,  SCHULHOF, Adam Benjamin ,  RAZ, Carmi

IPC: G06N3/02 ,  G06T7/60 ,  G06T7/70 ,  G16H30/40

CPC classification number: A61C9/004 ,  G16H40/67 ,  G16H50/20 ,  G16H30/40 ,  G16H50/50 ,  G06V2201/0320220101 ,  G06V10/82 ,  G06V20/647

公开(公告)号：EP4370023A2

公开(公告)日：2024-05-22

申请号：EP22842778.7

申请日：2022-07-12

Applicant: The Medical College of Wisconsin, Inc.

Inventor： PAULSON, Eric Scott ,  MICKEVICIUS, Nikolai J.

IPC: A61B5/055 ,  G06T7/33

CPC classification number: G06V20/20 ,  G16H30/40 ,  G16H20/40 ,  G06V2201/0320220101

公开(公告)号：EP4364102A1

公开(公告)日：2024-05-08

申请号：EP21737648.2

申请日：2021-06-29

Applicant: Brainlab AG

Inventor： MOSER, Christoph ,  BRIEU, Nicolas ,  LIU, Qianyu ,  PUCH GINER, Santiago

IPC: G06V10/82 ,  G06F18/40

CPC classification number: G06V2201/0320220101 ,  G06V10/82 ,  G06F18/22 ,  G06F18/213

公开(公告)号：EP4360063A1

公开(公告)日：2024-05-01

申请号：EP22834140.0

申请日：2022-06-29

Applicant: Medstar Health Inc. ,  Flouit, Inc. ,  National Laboratory For Scientific Computing

Inventor： GARCIA-GARCIA, Hector M. ,  ARES, Gonzalo D. ,  BLANCO, Pablo J. ,  ZIEMER, Paulo G.P. ,  MASO TALOU, Gonzalo D.

IPC: G06V10/82 ,  G06T7/10 ,  G06N3/02 ,  G06V10/25

CPC classification number: G06V10/82 ,  G06T7/12 ,  G06T2207/2008420130101 ,  G06T2207/3010120130101 ,  G06V10/454 ,  G06V2201/0320220101 ,  G06V10/34 ,  G06V10/26 ,  G06N3/0464 ,  G06N20/10 ,  G06N3/048

公开(公告)号：EP4443396A1

公开(公告)日：2024-10-09

申请号：EP23806742.5

申请日：2023-05-06

Applicant: Tencent Technology (Shenzhen) Company Limited

Inventor： YANG, Sen ,  XIANG, Jinxi ,  ZHANG, Jun ,  HAN, Xiao

IPC: G06V10/70 ,  G06N20/00 ,  G06V10/762 ,  G06V10/74 ,  G06V10/46 ,  G06V10/34 ,  G06F16/535 ,  G06F16/583

CPC classification number: G06V10/761 ,  G06V10/44 ,  G06V10/762 ,  G06F16/583 ,  G06V10/82 ,  G06V2201/0320220101 ,  G06F18/23 ,  G06T7/0012

Abstract: An image encoder training method and apparatus, a device, and a medium, which relate to the field of artificial intelligence. The method comprises: acquiring a first sample tissue image (401); performing first data enhancement and second data enhancement on the first sample tissue image, respectively, and obtaining a first image and a second image; inputting the first image into a first image encoder, and obtaining a first feature vector(402); inputting the second image into a second image encoder, and obtaining a second feature vector (403); clustering first feature vectors respectively corresponding to different first sample tissue images, and obtaining a plurality of first clustering centers (404); determining a positive sample vector and a negative sample vector from the plurality of first clustering centers; on the basis of the second feature vector, the positive sample vector and the negative sample vector, generating a first group loss function(409); and on the basis of the first group loss function, training the first image encoder and the second image encoder(410).

公开(公告)号：EP4427201A1

公开(公告)日：2024-09-11

申请号：EP22888692.5

申请日：2022-11-04

Applicant: Pulsemedica Corp.

Inventor： KATCHINSKIY, Nir ,  CEROICI, Christopher

IPC: G06V10/764 ,  G06N20/00 ,  G06V10/77 ,  G06V10/98 ,  G06V10/771 ,  G06V10/778

CPC classification number: A61F9/008 ,  G06N20/00 ,  G16H30/40 ,  G16H50/70 ,  G16H50/20 ,  G06V10/7784 ,  G06V10/987 ,  G06V2201/0320220101 ,  G06V10/40

公开(公告)号：EP3765847B1

公开(公告)日：2024-09-04

申请号：EP19714333.2

申请日：2019-03-15

IPC: G01N33/50

CPC classification number: G01N33/5026 ,  G01N2333/1120130101 ,  G03H2001/00520130101 ,  G03H2001/003320130101 ,  G03H1/0443 ,  G01N15/1468 ,  G01N2015/100620130101 ,  G01N2015/145420130101 ,  G06V20/695 ,  G06V20/698 ,  G06V2201/0320220101 ,  G06V10/764 ,  G06F18/24323

公开(公告)号：EP4292044B1

公开(公告)日：2024-08-28

申请号：EP22704505.1

申请日：2022-01-24

IPC: G06T7/00 ,  G06V10/82 ,  G06V10/98

CPC classification number: G06T7/0002 ,  G06T2207/3016820130101 ,  G06T2207/3004820130101 ,  G06T2207/2008420130101 ,  G06T2207/1001620130101 ,  G06V10/993 ,  G06V10/82 ,  G06V2201/0320220101

公开(公告)号：EP4418206A2

公开(公告)日：2024-08-21

申请号：EP24187076.5

申请日：2015-11-16

Applicant: Siemens Healthineers AG

Inventor： Itu, Lucian Mihai ,  Passerini, Tiziano ,  Rapaka, Saikiran ,  Schwemmer, Chris ,  Schöbinger, Max ,  Sharma, Puneet ,  Redel, Thomas ,  Comaniciu, Dorin

IPC: G06T7/00

CPC classification number: A61B6/032 ,  A61B6/504 ,  A61B6/5217 ,  G06T7/0012 ,  G06T2207/1007220130101 ,  G06T2207/2008120130101 ,  G06T2207/3010120130101 ,  G06T2207/3010420130101 ,  G16H50/50 ,  G06V40/14 ,  G06V2201/0320220101

Abstract: A method and system for determining hemodynamic indices, such as fractional flow reserve (FFR), for a location of interest in a coronary artery of a patient is disclosed. Medical image data of a patient is received. Patient-specific coronary arterial tree geometry of the patient is extracted from the medical image data. Geometric features are extracted from the patient-specific coronary arterial tree geometry of the patient. A hemodynamic index, such as FFR, is computed for a location of interest in the patient-specific coronary arterial tree based on the extracted geometric features using a trained machine-learning based surrogate model. The machine-learning based surrogate model is trained based on geometric features extracted from synthetically generated coronary arterial tree geometries.