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Munich, Germany

Definiens Ag

USPTO Granted Patents = 45

EPO Patents = 6

Forward Citations = 341

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38 inventors (with patents filed for the assignee):

Gerd K Binnig (27 out of 83 patents)

Guenter Schmidt (24 out of 31 patents)

Maria Athelogou (16 out of 16 patents)

4. Ralf Schoenmeyer (9 out of 9 patents)

5. Arno Schaepe (7 out of 7 patents)

6. Nicolas Brieu (6 out of 11 patents)

7. Günter Schmidt (6 out of 7 patents)

8. Martin Baatz (5 out of 5 patents)

9. Nathalie Harder (3 out of 3 patents)

10. Peter Ellenberg (3 out of 3 patents)

11. Ursula Benz (3 out of 3 patents)

12. Tamara Manuelian (3 out of 3 patents)

13. Joachim Diebold (3 out of 3 patents)

14. Michael R Alvers (3 out of 4 patents)

15. Peter Eschenbacher (3 out of 3 patents)

Core Competencies:

Cancer Recurrence Prediction

Image Analysis

Semantic Image Generation

Biomarker Evaluation

Co-registered Images

Tissue Slice Grading

Hyperspectral Image Generation

Fluorescence In Situ Hybridization

Rule-based Segmentation

Cognition Integrator

Image Mining

Networked Semantic Units

45 patents: Sort by Forward Citations

1. 10579935 - System for predicting the recurrence of cancer in a cancer patient (2020-03-03),

2. 10474874 - Applying pixelwise descriptors to a target image that are generated by segmenting objects in other images (2019-11-12),

3. 10445557 - Learning pixel visual context from object characteristics to generate rich semantic images (2019-10-15),

4. 10438096 - Identifying and excluding blurred areas of images of stained tissue to improve cancer scoring (2019-10-08),

5. 10380491 - System for predicting the recurrence of cancer in a cancer patient (2019-08-13),

6. 10262189 - Evaluation of co-registered images of differently stained tissue slices (2019-04-16),

7. 9990713 - Detecting and visualizing correlations between measured correlation values and correlation reference values of a pathway (2018-06-05),

8. 9805248 - Applying pixelwise descriptors to a target image that are generated by segmenting objects in other images (2017-10-31),

9. 9779499 - Grading of glandular tissue cancer by detailed image analysis of stained tissue slices (2017-10-03),

10. 9741112 - Generating image-based diagnostic tests by optimizing image analysis and data mining of co-registered images (2017-08-22),

11. 9740957 - Learning pixel visual context from object characteristics to generate rich semantic images (2017-08-22),

12. 9740912 - Evaluation of co-registered images of differently stained tissue slices (2017-08-22),

13. 9466103 - Biomarker evaluation through image analysis (2016-10-11),

14. 9245337 - Context driven image mining to generate image-based biomarkers (2016-01-26),

15. 9177378 - Updating landmarks to improve coregistration as regions of interest are corrected (2015-11-03),

Definiens AG is a leading provider of image analysis software and digital pathology solutions. With over 20 years of experience, the company specializes in delivering state-of-the-art solutions for the pharmaceutical, biotechnology, and healthcare industries. Their advanced software algorithms enable the automated analysis of complex images, helping researchers and clinicians extract valuable insights from digital pathology and biomedical imaging data. Definiens AG's innovative technology has been widely recognized and utilized by leading organizations worldwide to accelerate scientific discoveries and improve patient care.

This text is generated by artificial intelligence and may not be accurate.

Company Badge

USPTO Data Jan 1 1976 - Dec 30 2025

45 Patents

#80 in W-8000 Munich

#1,202 in Germany

#14,979 in the World

Munich, Germany

Definiens Ag

Forward Citations = 341

38 inventors:

Gerd K Binnig (27 out of 83 patents)

Guenter Schmidt (24 out of 31 patents)

Maria Athelogou (16 out of 16 patents)

4. Ralf Schoenmeyer (9 out of 9 patents)

5. Arno Schaepe (7 out of 7 patents)

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