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Seoul, South Korea

Lunit Inc.

USPTO Granted Patents = 52

EPO Patents = 3

Trademarks = 9

Forward Citations = 42

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61 inventors (with patents filed for the assignee):

Donggeun Yoo (11 out of 11 patents)

Dong Geun Yoo (9 out of 9 patents)

Hyo-Eun Kim (7 out of 9 patents)

4. Kyung Hyun Paeng (5 out of 5 patents)

5. Hyun Jae Lee (5 out of 138 patents)

6. Kyunghyun Paeng (5 out of 5 patents)

7. Hyeonseob Nam (4 out of 4 patents)

8. Hyeon Seob Nam (4 out of 4 patents)

9. Hyo Eun Kim (4 out of 4 patents)

10. Chanyoung Ock (4 out of 4 patents)

11. HyunJae Lee (3 out of 19 patents)

12. Kyoung Won Lee (3 out of 26 patents)

13. Jeong Seok Kang (3 out of 4 patents)

14. Minje Jang (3 out of 3 patents)

15. Jongchan Park (3 out of 6 patents)

Core Competencies:

Machine Learning

Medical Imaging

Pathological Image Analysis

Biomarker Prediction

Neural Networks

Image Processing

Anomaly Detection

Weakly Supervised Learning

3D Image Reconstruction

Quality Management

Semantic Segmentation

Generative Adversarial Networks

52 patents: Sort by Forward Citations

1. 12488893 - Method and system for training machine learning model for detecting abnormal region in pathological slide image (2025-12-02),

2. 12475560 - Method and device for processing pathological slide image (2025-11-18),

3. 12462896 - Method and system for predicting response to immune anticancer drugs (2025-11-04),

4. 12450315 - Method and system for performing prediction work on target image (2025-10-21),

5. 12400735 - Method and system for predicting response to immune checkpoint inhibitor based on a density of immune cells (2025-08-26),

6. 12400420 - Medical imaging device and medical image processing method (2025-08-26),

7. 12340513 - Method and system for predicting expression of biomarker from medical image (2025-06-24),

8. 12295753 - Method and system for determining abnormality in medical device (2025-05-13),

9. 12277691 - Method and system for outputting a slice corresponding to a target item for 3D image including a plurality of slices (2025-04-14),

10. 12266447 - Method and system for generating medical prediction related to biomarker from medical data (2025-04-01),

11. 12266196 - Method and system for analyzing pathology image (2025-04-01),

12. 12236591 - Method and system for parallel processing for medical image (2025-02-25),

13. 12217853 - Method for managing annotation job, apparatus and system supporting the same (2025-02-04),

14. 12217425 - Method for discriminating suspicious lesion in medical image, method for interpreting medical image, and computing device implementing the methods (2025-02-04),

15. 12205288 - Method and system for analyzing pathological image (2025-01-21),

Lunit Inc. is a medical AI software company specialized in developing state-of-the-art AI solutions for radiology and oncology fields. The company aims to harness the power of artificial intelligence to improve accuracy and efficiency in medical diagnoses. With a team of talented experts in deep learning and medical imaging, Lunit develops cutting-edge AI algorithms and applies them to various medical imaging modalities, such as chest, breast, and liver. Their innovative solutions support healthcare professionals in making more accurate and timely diagnoses, ultimately enhancing patient outcomes.

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

Company Badge

USPTO Data Jan 1 1976 - Dec 23 2025

52 Patents

#94 in Seoul

#302 in South Korea

#13,152 in the World

Seoul, South Korea

Lunit Inc.

Forward Citations = 42

61 inventors:

Donggeun Yoo (11 out of 11 patents)

Dong Geun Yoo (9 out of 9 patents)

Hyo-Eun Kim (7 out of 9 patents)

4. Kyung Hyun Paeng (5 out of 5 patents)

5. Hyun Jae Lee (5 out of 138 patents)

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