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Seoul, South Korea

Coreline Soft Co., Ltd.

USPTO Granted Patents = 20

Trademarks = 1

Forward Citations = 163

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23 inventors (with patents filed for the assignee):

Jaeyoun Yi (16 out of 17 patents)

Donghoon Yu (16 out of 17 patents)

Jin Kook Kim (7 out of 14 patents)

4. Hyun Gi Seo (6 out of 6 patents)

5. Joon Beom Seo (4 out of 9 patents)

6. Ji Min Kim (4 out of 5 patents)

7. Sang Min Lee (4 out of 91 patents)

8. Hyungi Seo (3 out of 3 patents)

9. Yongjin Chang (3 out of 8 patents)

10. Byeong Soo Kim (3 out of 3 patents)

11. Nam Kug Kim (2 out of 9 patents)

12. Dong Hyun Yang (2 out of 7 patents)

13. Sunggoo Kwon (2 out of 2 patents)

14. Seungbin Bae (2 out of 2 patents)

15. Seung Lee Park (2 out of 2 patents)

20 patents: Sort by Forward Citations

1. 12475993 - Apparatus and method for medical image reading assistant providing representative image based on medical use artificial neural network (2025-11-18),

2. 12475557 - Method and apparatus for determining level of airway region (2025-11-18),

3. 12458232 - Medical image visualization apparatus and method for diagnosis of aorta (2025-11-04),

4. 12361551 - Artificial neural network-based image analysis apparatus and method for evaluating analysis results of artificial neural network (2025-07-15),

5. 12308107 - Medical image diagnosis assistance apparatus and method for providing user-preferred style based on medical artificial neural network (2025-05-20),

6. 12299877 - Medical image analysis apparatus and method, and medical image visualization apparatus and method (2025-05-13),

7. 12114933 - System and method for interventional procedure using medical images (2024-10-15),

8. 12079988 - Medical image reconstruction apparatus and method for screening for plurality of types of lung diseases (2024-09-03),

9. 12073943 - Medical image analysis system and similar case retrieval system using quantitative parameters, and methods for the same (2024-08-27),

10. 12046367 - Medical image reading assistant apparatus and method providing hanging protocols based on medical use artificial neural network (2024-07-23),

11. 11996182 - Apparatus and method for medical image reading assistant providing representative image based on medical use artificial neural network (2024-05-28),

12. 11915822 - Medical image reading assistant apparatus and method for adjusting threshold of diagnostic assistant information based on follow-up examination (2024-02-27),

13. 11715198 - Medical use artificial neural network-based medical image analysis apparatus and method for evaluating analysis results of medical use artificial neural network (2023-08-01),

14. 11160643 - System and method for dental implant planning (2021-11-02),

15. 11049241 - Qualification method of lung vessel based on lobe (2021-06-29),

Company Overview

Coreline Soft Co., Ltd. is a technology company based in Seoul, South Korea, specializing in advanced software solutions for medical imaging and healthcare applications. The organization focuses on developing innovative tools that enhance diagnostic accuracy and streamline workflows in clinical settings. With a commitment to improving patient outcomes, Coreline Soft integrates cutting-edge technologies such as artificial intelligence and machine learning into its products, positioning itself as a leader in the medical software domain.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

20 Patents

#229 in Seoul

#631 in South Korea

#31,264 in the World

Seoul, South Korea

Coreline Soft Co., Ltd.

Forward Citations = 163

23 inventors:

Jaeyoun Yi (16 out of 17 patents)

Donghoon Yu (16 out of 17 patents)

Jin Kook Kim (7 out of 14 patents)

4. Hyun Gi Seo (6 out of 6 patents)

5. Joon Beom Seo (4 out of 9 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Coreline Soft Co., Ltd.. Retrieved from https://idiyas.com/company/coreline-soft-company

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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