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Extract from the Register of European Patents

EP About this file: EP3625763

EP3625763 - CONVOLUTIONAL DEEP LEARNING ANALYSIS OF TEMPORAL CARDIAC IMAGES [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  11.07.2025
Database last updated on 28.02.2026
FormerThe patent has been granted
Status updated on  02.08.2024
FormerGrant of patent is intended
Status updated on  04.04.2024
FormerExamination is in progress
Status updated on  15.03.2024
FormerGrant of patent is intended
Status updated on  25.02.2024
FormerExamination is in progress
Status updated on  04.12.2020
FormerRequest for examination was made
Status updated on  21.02.2020
FormerThe international publication has been made
Status updated on  23.11.2018
Formerunknown
Status updated on  16.07.2018
Most recent event   Tooltip06.02.2026Lapse of the patent in a contracting state
New state(s): MC		published on 11.03.2026 [2026/11]
Applicant(s)For all designated states
Koninklijke Philips N.V.
High Tech Campus 52
5656 AG Eindhoven / NL
[2020/13]
Inventor(s)01 / SITEK, Arkadiusz
High Tech Campus 5
5656 AE Eindhoven / NL
 [2020/13]
Representative(s)Philips Intellectual Property & Standards
High Tech Campus 52
5656 AG Eindhoven / NL
[2024/36]
Former [2020/13]Philips Intellectual Property & Standards
High Tech Campus 5
5656 AE Eindhoven / NL
Application number, filing date18736798.214.05.2018
[2020/13]
WO2018EP62318
Priority number, dateUS201762508087P18.05.2017         Original published format: US 201762508087 P
[2020/13]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2018210714
Date:22.11.2018
Language:EN
[2018/47]
Type: A1 Application with search report 
No.:EP3625763
Date:25.03.2020
Language:EN
The application published by WIPO in one of the EPO official languages on 22.11.2018 takes the place of the publication of the European patent application.
[2020/13]
Type: B1 Patent specification 
No.:EP3625763
Date:04.09.2024
Language:EN
[2024/36]
Search report(s)International search report - published on:EP22.11.2018
ClassificationIPC:G06N3/08, G06N3/045, G06T7/00
[2024/11]
CPC:
G06T7/0012 (EP,US); A61B5/7267 (US); A61B5/364 (US);
G06N3/0442 (EP); G06N3/045 (EP); G06N3/0464 (EP);
G06N3/08 (EP); G06N3/09 (EP); G06N5/046 (US);
G06N3/044 (EP); G06T2207/10081 (US); G06T2207/10088 (US);
G06T2207/10104 (US); G06T2207/10108 (US); G06T2207/10121 (US);
G06T2207/10132 (EP,US); G06T2207/20084 (EP); G06T2207/30048 (EP,US) (-)
Former IPC [2020/13]G06T7/00
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2020/13]
Extension statesBANot yet paid
MENot yet paid
Validation statesKHNot yet paid
MANot yet paid
MDNot yet paid
TNNot yet paid
TitleGerman:FALTUNGSTIEFENLERNANALYSE VON ZEITLICHEN HERZBILDERN[2020/13]
English:CONVOLUTIONAL DEEP LEARNING ANALYSIS OF TEMPORAL CARDIAC IMAGES[2020/13]
French:ANALYSE D'APPRENTISSAGE PROFOND CONVOLUTIF D'IMAGES CARDIAQUES TEMPORELLES[2020/13]
Entry into regional phase18.12.2019National basic fee paid 
18.12.2019Designation fee(s) paid 
18.12.2019Examination fee paid 
Examination procedure20.11.2019Amendment by applicant (claims and/or description)
18.12.2019Examination requested  [2020/13]
18.12.2019Date on which the examining division has become responsible
02.12.2020Despatch of a communication from the examining division (Time limit: M04)
19.03.2021Reply to a communication from the examining division
22.11.2021Despatch of a communication from the examining division (Time limit: M04)
11.05.2022Despatch of communication that the application is deemed to be withdrawn, reason: reply to the communication from the examining division not received in time
21.07.2022Reply to a communication from the examining division
26.02.2024Communication of intention to grant the patent
14.03.2024Disapproval of the communication of intention to grant the patent by the applicant or resumption of examination proceedings by the EPO
05.04.2024Communication of intention to grant the patent
25.07.2024Fee for grant paid
25.07.2024Fee for publishing/printing paid
25.07.2024Receipt of the translation of the claim(s)
Opposition(s)05.06.2025No opposition filed within time limit [2025/33]
Request for further processing for:The application is deemed to be withdrawn due to failure to reply to the examination report
21.07.2022Request for further processing filed
21.07.2022Full payment received (date of receipt of payment)
Request granted
26.07.2022Decision despatched
Fees paidRenewal fee
02.06.2020Renewal fee patent year 03
31.05.2021Renewal fee patent year 04
31.05.2022Renewal fee patent year 05
31.05.2023Renewal fee patent year 06
31.05.2024Renewal fee patent year 07
Opt-out from the exclusive  Tooltip
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Patent Court		 See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipAT04.09.2024
BG04.09.2024
CZ04.09.2024
DK04.09.2024
EE04.09.2024
ES04.09.2024
FI04.09.2024
HR04.09.2024
IT04.09.2024
LV04.09.2024
MC04.09.2024
NL04.09.2024
PL04.09.2024
RO04.09.2024
SE04.09.2024
SK04.09.2024
SM04.09.2024
NO04.12.2024
RS04.12.2024
GR05.12.2024
IS04.01.2025
PT06.01.2025
LU14.05.2025
CH31.05.2025
[2026/11]
Former [2026/09]AT04.09.2024
BG04.09.2024
CZ04.09.2024
DK04.09.2024
EE04.09.2024
ES04.09.2024
FI04.09.2024
HR04.09.2024
IT04.09.2024
LV04.09.2024
NL04.09.2024
PL04.09.2024
RO04.09.2024
SE04.09.2024
SK04.09.2024
SM04.09.2024
NO04.12.2024
RS04.12.2024
GR05.12.2024
IS04.01.2025
PT06.01.2025
LU14.05.2025
CH31.05.2025
Former [2026/08]AT04.09.2024
BG04.09.2024
CZ04.09.2024
DK04.09.2024
EE04.09.2024
ES04.09.2024
FI04.09.2024
HR04.09.2024
IT04.09.2024
LV04.09.2024
NL04.09.2024
PL04.09.2024
RO04.09.2024
SE04.09.2024
SK04.09.2024
SM04.09.2024
NO04.12.2024
RS04.12.2024
GR05.12.2024
IS04.01.2025
PT06.01.2025
LU14.05.2025
Former [2025/42]AT04.09.2024
BG04.09.2024
CZ04.09.2024
DK04.09.2024
EE04.09.2024
ES04.09.2024
FI04.09.2024
HR04.09.2024
IT04.09.2024
LV04.09.2024
NL04.09.2024
PL04.09.2024
RO04.09.2024
SE04.09.2024
SK04.09.2024
SM04.09.2024
NO04.12.2024
RS04.12.2024
GR05.12.2024
IS04.01.2025
PT06.01.2025
Former [2025/33]AT04.09.2024
BG04.09.2024
CZ04.09.2024
DK04.09.2024
EE04.09.2024
ES04.09.2024
FI04.09.2024
HR04.09.2024
IT04.09.2024
LV04.09.2024
NL04.09.2024
PL04.09.2024
RO04.09.2024
SK04.09.2024
SM04.09.2024
NO04.12.2024
RS04.12.2024
GR05.12.2024
IS04.01.2025
PT06.01.2025
Former [2025/23]AT04.09.2024
BG04.09.2024
CZ04.09.2024
EE04.09.2024
ES04.09.2024
FI04.09.2024
HR04.09.2024
IT04.09.2024
LV04.09.2024
NL04.09.2024
PL04.09.2024
RO04.09.2024
SK04.09.2024
SM04.09.2024
NO04.12.2024
RS04.12.2024
GR05.12.2024
IS04.01.2025
PT06.01.2025
Former [2025/22]AT04.09.2024
BG04.09.2024
EE04.09.2024
ES04.09.2024
FI04.09.2024
HR04.09.2024
LV04.09.2024
NL04.09.2024
PL04.09.2024
RO04.09.2024
SM04.09.2024
NO04.12.2024
RS04.12.2024
GR05.12.2024
IS04.01.2025
PT06.01.2025
Former [2025/21]BG04.09.2024
ES04.09.2024
FI04.09.2024
HR04.09.2024
LV04.09.2024
NL04.09.2024
PL04.09.2024
RO04.09.2024
SM04.09.2024
NO04.12.2024
RS04.12.2024
GR05.12.2024
IS04.01.2025
PT06.01.2025
Former [2025/13]BG04.09.2024
ES04.09.2024
FI04.09.2024
HR04.09.2024
LV04.09.2024
NL04.09.2024
PL04.09.2024
NO04.12.2024
RS04.12.2024
GR05.12.2024
Former [2025/10]BG04.09.2024
ES04.09.2024
FI04.09.2024
HR04.09.2024
LV04.09.2024
PL04.09.2024
NO04.12.2024
RS04.12.2024
GR05.12.2024
Former [2025/09]BG04.09.2024
FI04.09.2024
LV04.09.2024
PL04.09.2024
NO04.12.2024
GR05.12.2024
Former [2025/08]FI04.09.2024
PL04.09.2024
NO04.12.2024
GR05.12.2024
Cited inInternational search[XI]   NARULA SUKRIT ET AL: "Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography", JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, ELSEVIER, NEW YORK, NY, US, vol. 68, no. 21, 21 November 2016 (2016-11-21), pages 2287 - 2295, XP029818937, ISSN: 0735-1097, DOI: 10.1016/J.JACC.2016.08.062 [X] 1-4,7-12,15-20 * abstract * * sections: Echocardiographic Examination, Echocardiographic Differentiation between HCM and ATH, Study Limitations. * [I] 5,6,13,14

DOI:   http://dx.doi.org/10.1016/j.jacc.2016.08.062
 [T]   WEILIN HUANG ET AL: "Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 3 July 2017 (2017-07-03), XP080774039, DOI: 10.1007/978-3-319-66185-8_39 [T]

DOI:   http://dx.doi.org/10.1007/978-3-319-66185-8_39
 [A]   PIOTR J SLOMKA ET AL: "Cardiac imaging: working towards fully-automated machine analysis & interpretation", EXPERT REVIEW OF MEDICAL DEVICES, vol. 14, no. 3, 4 March 2017 (2017-03-04), GB, pages 197 - 212, XP055497458, ISSN: 1743-4440, DOI: 10.1080/17434440.2017.1300057 [A] 1,8,16 * abstract *

DOI:   http://dx.doi.org/10.1080/17434440.2017.1300057
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