Growing community of inventors

Stadtroda, Germany

Michael Trost

Average Co-Inventor Count = 3.18

ph-index = 2

The patent ph-index is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times.

Forward Citations = 8

Michael TrostTobias Bühren (6 patents)Michael TrostWilfried Bissmann (3 patents)Michael TrostFerid Bajramovic (2 patents)Michael TrostMartin Volkwardt (2 patents)Michael TrostManfred Dick (1 patent)Michael TrostDaniel Bublitz (1 patent)Michael TrostMartin Wiechmann (1 patent)Michael TrostThomas Mohr (1 patent)Michael TrostAxel Doering (1 patent)Michael TrostTanja Teuber (1 patent)Michael TrostBurkhard Wagner (1 patent)Michael TrostUwe Mohrholz (1 patent)Michael TrostWei-Jun Chen (1 patent)Michael TrostChristopher Weth (1 patent)Michael TrostOliver Findl (1 patent)Michael TrostNino Hirnschall (1 patent)Michael TrostDaniel Baumgarten (1 patent)Michael TrostHendrik Burwinkel (1 patent)Michael TrostMichael Zimmermann (1 patent)Michael TrostMichael Trost (10 patents)Tobias BührenTobias Bühren (19 patents)Wilfried BissmannWilfried Bissmann (21 patents)Ferid BajramovicFerid Bajramovic (18 patents)Martin VolkwardtMartin Volkwardt (5 patents)Manfred DickManfred Dick (73 patents)Daniel BublitzDaniel Bublitz (36 patents)Martin WiechmannMartin Wiechmann (19 patents)Thomas MohrThomas Mohr (12 patents)Axel DoeringAxel Doering (8 patents)Tanja TeuberTanja Teuber (6 patents)Burkhard WagnerBurkhard Wagner (6 patents)Uwe MohrholzUwe Mohrholz (4 patents)Wei-Jun ChenWei-Jun Chen (4 patents)Christopher WethChristopher Weth (4 patents)Oliver FindlOliver Findl (3 patents)Nino HirnschallNino Hirnschall (3 patents)Daniel BaumgartenDaniel Baumgarten (1 patent)Hendrik BurwinkelHendrik Burwinkel (1 patent)Michael ZimmermannMichael Zimmermann (1 patent)
..
Inventor’s number of patents
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Strength of working relationships

Company Filing History:

1. Carl Zeiss Meditec Ag (10 from 763 patents)


10 patents:

1. 12374456 - Training domain-based AI boosting of an IOL determination

2. 10987213 - Method for selecting an IOL on the basis of the prediction of the anatomical, post-operative position and orientation thereof

3. 10709326 - Method for the optimized prediction of the postoperative anatomical position of an intraocular lens implanted in a pseudophakic eye

4. 10123687 - Method for optimizing the selection of the IOL to be implanted in an eye

5. 9888840 - Method for the optimized prediction of the postoperative anatomical position of an intraocular lens implanted in a pseudophakic eye

6. 9545341 - Method for optimized prediction of the postoperative anatomical position of an intraocular lens implanted in a pseudopakic eye

7. 9351634 - Method for automatic optimization of the calculation of an intraocular lens to be implanted

8. 9271829 - Method for the pre-operative selection of an intraocular lens to be implanted in an eye

9. 8289382 - Method for producing high-quality reproductions of the front and/or rear sections of the eye

10. 8224050 - Method for the creation of panoramic images of the eye fundus

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