Extract from the Register of European Patents

EP Citations: EP4309112

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Type:Patent literature
Publication No.:US2015012466  [A]
 (SAPIRO GUILLERMO et al.) [A] 1-18 * the whole document *
Type:Non-patent literature
Publication information:[XI]   DENG MINGHUI ET AL: "Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling", MEDICAL PHYSICS, AIP, MELVILLE, NY, US, vol. 43, no. 12, 21 November 2016 (2016-11-21), pages 6588 - 6597, XP012213883, ISSN: 0094-2405, [retrieved on 20161121], DOI: 10.1118/1.4967487 [X] 1-3,11-13,16-18 * page 6589, column left, paragraph last * * Section 2.A. Data acquisition and image processing; page 6589, column right * * Section 2.B. Proposed algorithm; page 6589, column right - page 6590, column left * * Section 4. Discussions and conclusion; page 6596 *[I] 4-10,14,15
DOI: http://dx.doi.org/10.1118/1.4967487
Type:Non-patent literature
Publication information:[XI]   WEI JIE ET AL: "7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network", 2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), IEEE, 3 April 2020 (2020-04-03), pages 140 - 143, XP033773729, DOI: 10.1109/ISBI45749.2020.9098617 [X] 1-7,11-13,16-18 * abstract * * bridging paragraph; page 140, column right - page 141, column left * * Section 2. Method; page 141, column left - page 142, column left * * Section 3.1 Dataset and Preprocessing; page 142, column left * [I] 8-10,14,15
DOI: http://dx.doi.org/10.1109/ISBI45749.2020.9098617
Cited inInternational search
Type:Patent literature
Publication No.:US2020311926  [XYA]
 (TIAN QIYUAN et al.) [X] 1-6, 10, 11, 16, 17/(1-6, 10,11, 16) and 18/(1-6, 10, 11, 16), 19, 20, 22-26, 28-32 * entire document (especially Figs. 1-3, 4A-4C, 5-7, Abstract & para [0009], [0013], [0019, [0022], [0027], [0060], [0065], [0066], [0069], [0090], claim 11, 16). *[Y] 7-9,12,13,17/(7-9, 12, 13), 18/(7-9, 12, 13), 27 [A] 14, 15, 17/(14, 15), 18/(14, 15), 21
Type:Patent literature
Publication No.:US2018321347  [Y]
 (WANG YI et al.) [Y] 7, 17/7,18/7 and 27 * entire document (especially para [0122], [0154]). *
Type:Patent literature
Publication No.:US2015379723  [Y]
 (REDA FITSUM A et al.) [Y] 8, 9, 12, 17/(8, 9, 12) and 18/(8, 9, 12) * entire document (especially para entire document (especially para[0028], [0029], [0071], [0072], [0174]). *
Type:Patent literature
Publication No.:US2015305701  [Y]
 (WENDLER THOMAS et al.) [Y] 13, 17/13 and 18/13 * entire document (especially para [0116], [0119]). *
Type:Patent literature
Publication No.:US2019196051  [A]
 (WANG QI et al.) [A] 1-32 * entire document. *
Type:Patent literature
Publication No.:US2020167930  [A]
 (WANG GUOTAI et al.) [A] 1-32 * entire document. *
Type:Patent literature
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Cited inby applicant
Type:Patent literature
Publication No.:US9600778  
Type:Non-patent literature
Publication information:  KRIZHEVSKY ET AL., IMAGENET CLASSIFICATION WITH DEEP CONVOLUTIONAL NEURAL NETWORKS, Retrieved from the Internet [X] 1-7,11-13,16-18 * abstract * * bridging paragraph; page 140, column right - page 141, column left * * Section 2. Method; page 141, column left - page 142, column left * * Section 3.1 Dataset and Preprocessing; page 142, column left *[I] 8-10,14,15
Type:Non-patent literature
Publication information:  LECUN ET AL., DEEP LEARNING, NATURE, vol. 521, no. 7553, pages 436 - 444
Type:Non-patent literature
Publication information:  DENG MINGHUI ET AL., LEARNING -BASED 3T BRAIN MRI SEGMENTATION WITH GUIDANCE FROM 7T MRI LABELLING
Type:Non-patent literature
Publication information:  WEI JIE ET AL., 7T GUIDED 3T BRAIN TISSUE SEGMENTATION USING CASCADED NESTED NETWORK