Hansang Lee 🤖🩻

International Journals

1. Hansang Lee, Haeil Lee, Helen Hong, Heejin Bae, Joon Seok Lim, and Junmo Kim, "Classification of Focal Liver Lesions in CT Images using Convolutional Neural Networks with Lesion Information Augmented Patches and Synthetic Data Augmentation," Medical Physics, Vol. 48, No. 9, pp. 5029-5046, September 2021.

2. Heejin Bae, Hansang Lee, Sungwon Kim, Kyunghwa Han, Hyungjin Rhee, Dong-kyu Kim, Hyuk Kwon, Helen Hong, and Joon Seok Lim, "Radiomics Analysis of Contrast-Enhanced CT for Classification of Hepatic Focal Lesions in Colorectal Cancer Patients: Its Limitations Compared to Radiologists," European Radiology, 2021. [Online Published]

3. Hansang Lee, Helen Hong, Junmo Kim, and Dae Chul Jung, "Deep Feature Classification of Angiomyolipoma without Visible Fat and Renal Cell Carcinoma in Abdominal Contrast-Enhanced CT Images with Texture Image Patches and Hand-Crafted Feature Concatenation," Medical Physics, Vol. 45, No. 4, pp. 1550-1561, April 2018.

4. Han Sang Lee, Helen Hong, Dae Chul Jung, Seunghyun Park, and Junmo Kim, "Differentiation of Fat-Poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma in Contrast-Enhanced MDCT Images using Quantitative Feature Classification," Medical Physics, Vol. 44, No. 7, pp. 3604-3614, July 2017.

5. Sunjeong Park, Han S. Lee, and Junmo Kim, "Seed Growing for Interactive Image Segmentation using SVM Classification with Geodesic Distance," Electronic Letters, Vol. 53, No. 1, pp. 22-24, January 2017.

6. Youngwook Kee, Han S. Lee, Junho Yim, Daniel Cremers, and Junmo Kim, "Entropy Minimization for Groupwise Planar Shape Co-Alignment and Its Applications," Signal Processing Letters, Vol. 22, No. 11, pp. 1922-1926, November 2015.

7. Hansang Lee, Helen Hong, and Junmo Kim, "Segmentation of Anterior Cruciate Ligament in Knee MR Images using Graph Cuts with Patient-Specific Shape Constraints and Label Refinement," Computers in Biology and Medicine, Vol. 55, pp. 1-10, December 2014.

International Conferences (Proceedings)

1. Julip Jung, Helen Hong, Hansang Lee, Sung Il HWang, and Hak Jong Lee, "Uni- and Multi-Modal Radiomic Features for the Predicting Prostate Cancer Aggressiveness," In Proc. of the 17th IEEE International Symposium on Biomedical Imaging (ISBI 2020),  April 2020.

2. Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, and Junmo Kim, "Survival Prediction of Liver Cancer Patients from CT Images using Deep Learning and Radiomic Feature-based Regression," In Proc. of the Computer-Aided Diagnosis (CAD) Conference at the SPIE Medical Imaging Symposium 2020 (SPIE MI 2020), February 2020.

3. Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, and Junmo Kim, "Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks," Accepted for the Predictive Intelligence in Medicine Workshop (PRIME), in conjunction with the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019).

4. Hansang Lee, Helen Hong, and Junmo Kim, "BCD-Net: A Novel Method for Cartilage Segmentation of Knee MRI via Deep Segmentation Networks with Bone-Cartilage-Complex Modeling," In Proc. of the 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), pp.1538-1541, 2018. [Oral Presentation]

5. Han Sang Lee, Helen Hong, and Junmo Kim, "Detection and Segmentation of Small Renal Masses in Contrast-Enhanced CT Images using Texture and Context Feature Classification," In Proc. of the 14th IEEE International Symposium on Biomedical Imaging (ISBI 2017), pp.583-586, 2018.

6. Hansang Lee, Minseok Park, and Junmo Kim, "Cephalometric Landmark Detection in Dental X-ray Images using Convolutional Neural Networks," In Proc. of the Computer-Aided Diagnosis (CAD) Conference at the SPIE Medical Imaging Symposium 2017 (SPIE MI 2017), 2017. [Oral Presentation]

7. Haeil Lee*, Hansang Lee*, Minseok Park, and Junmo Kim, "Contextual Convolutional Neural Networks for Lung Nodule Classification using Gaussian Weighted Average Image Patches," In Proc. of the Computer-Aided Diagnosis (CAD) Conference at the SPIE Medical Imaging Symposium 2017 (SPIE MI 2017), 2017. [Oral Presentation]

8. Hansang Lee and Junmo Kim, "Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement," In Proc. of the 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2016), pp.1367-1373, 2016.

9. Hansang Lee*, Minseok Park*, and Junmo Kim, "Plankton Classification on Imbalanced Large Scale Database via Convolutional Neural Networks with Transfer Learning," In Proc. of the 23rd IEEE International Conference on Image Processing (ICIP 2016), pp.3713-3717, 2016. [Travel Award]

10. Sunjeong Park, Han S. Lee, and Junmo Kim, "Seed Growing for Interactive Image Segmentation with Geodesic Voting," In Proc. of the 23rd IEEE International Conference on Image Processing (ICIP 2016), pp.2564-2568, 2016. [Travel Award]

11. Han Sang Lee, Hyeun A Kim, Hyeonjin Kim, Helen Hong, Young Cheol Yoon, and Junmo Kim, "Multi-Atlas Segmentation of the Cartilage in Knee MR Images with Sequential Volume- and Bone-Mask-Based Registrations," In Proc. of SPIE Medical Imaging 2016: Computer-Aided Diagnosis (CAD), Vol.9785, 97853H, 2016.

12. Hansang Lee, Jiwhan Kim, and Junmo Kim, "Automatic Salient Object Detection using Principal Component Analysis," In Proc. of the 2nd International Conference on Robot Intelligence Technology and Applications (RiTA 2013), AISC 274, pp.717-723, 2014.

13. Jiwhan Kim, Hansang Lee, and Junmo Kim, "A Novel Method for Salient Object Detection via Compactness Measurement," In Proc. of the 20th IEEE International Conference on Image Processing (ICIP 2013), pp.3426-3430, 2013.

14. SungRyull Sohn, Hansang Lee, Heechul Jung, and Junmo Kim, "High-Definition Video-Based Multi-Channel Top-View Vehicle Surrounding Monitoring System for Mobile Navigation Devices," In Proc. of the IEEE International Conference on Consumer Electronics (ICCE 2013), pp.655-656, 2013.

15. Sandeul Kang, Hansang Lee, Jiwhan Kim, and Junmo Kim, "Automatic Image Segmentation using Saliency Detection and Superpixel Graph Cuts," In Proc. of the 1st International Conference on Robot Intelligence Technology and Applications (RiTA 2012), AISC 208, pp.1023-1034, 2013.

16. Hansang Lee, Helen Hong, and Junmo Kim, "Anterior Cruciate Ligament Segmentation from Knee MR Images using Graph Cuts with Geometric and Probabilistic Shape Constraints," In Proc. of the 11th Asian Conference on Computer Vision (ACCV 2012), Part II, LNCS 7725, pp.305-315, 2013.

17. Hansang Lee, Dewey Ho Lee, Heechul Jung, Myungjin Choi, and Junmo Kim, "Global Color Balancing for Satellite Image Mosaicing using Decorrelated Color Spaces," In Proc. of the 11th International Conference on Electronics, Information, and Communication (ICEIC 2012), pp.567-568, 2012.

18. Hansang Lee, Su Sang Lee, and Junmo Kim, "Image Deblurring using Fast Minimization of the Mumford-Shah Functional," In Proc. of the 26th International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC 2011), pp.514-517, 2011.

International Conferences (Short Papers & Abstracts)

1. Hansang Lee, Helen Hong, Joon Seok Lim, and Junmo Kim, "Classification of Focal Liver Lesions in CT Images using Uncertainty-Aware Ensemble of Radiomics and Deep Learning Classifiers," The 107th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2021), November 2021. [Oral Presentation] [Accepted]

2. Hansang Lee, Haeil Lee, Helen Hong, and Junmo Kim, "Test-Time Mixup Augmentation for Uncertainty Estimation in Skin Lesion Diagnosis," The 4th International Conference on Medical Imaging with Deep Learning (MIDL 2021), July 2021.

3. Hansang Lee, Helen Hong, Hyun Ju Kim, Hwa Kyung Byun, Jinsil Seong, Jin Sung Kim, and Junmo Kim, "Deep Learning Prediction of Tumor Local Control for Hepatocellular Carcinoma Patients from CT Images with Tumoral, Peritumoral, and Contextual Patches," The 106th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2020), 2020. [Oral Presentation] 

4. Hansang Lee, Haeil Lee, Helen Hong, Heejin Bae, Sungwon Kim, Joonseok Lim, and Junmo Kim, "Unnecessity of Real Likeness in Synthetic Training Data Augmentation for Deep Learning Classification of CT Focal Liver Lesions," The 106th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2020), 2020. [Oral Presentation] 

5. Hansang Lee, Helen Hong, Hyun Ju Kim, Hwa Kyung Byun, Jinsil Seong, Jin Sung Kim, and Junmo Kim, "Imaging-based Survival Prediction of Liver Cancer Patients using Cox Proportional Hazard Models with Quantitative Texture and Shape Features," The 105th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2019), 2019. [Oral Presentation] 

6. Hansang Lee, Helen Hong, Heejin Bae, Sungwon Kim, Joon Seok Lim, and Junmo Kim, "Synthetic Training Data Augmentation for Assisting CT Liver Lesion Classification with Generative Adversarial Networks," The 105th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2019), 2019. [Oral Presentation] 

7. Hansang Lee, Helen Hong, Heejin Bae, Sungwon Kim, Joon Seok Lim, and Junmo Kim, "Differentiation of Hepatic Masses in Abdominal CT Images using Texture-Aware Convolutional Neural Networks with Texture Image Patches," The 104th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2018), 2018. [Oral Presentation] 

8. Han Sang Lee, Helen Hong, Junmo Kim, Dae Chul Jung, and KoonHo Rha, "Shape and Texture Feature Classification of Angiomyolipoma without Visible Fat and Clear Cell Renal Cell Carcinoma in Contrast-Enhanced CT Images," The 103rd Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2017), 2017.

9. Han S. Lee and Junmo Kim, "What is Wrong with Them?: Qualitative Analysis on ImageNet Failure Cases," The 5th Scene Understanding Workshop (SUNw 2017), in Conjunction with the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), 2017.

10. Han Sang Lee, Helen Hong, and Junmo Kim, "Multi-Channel Deep Feature Classification of Angiomyolipoma without Visible Fat and Renal Cell Carcinoma in Abdominal CT Images with Texture Image Patches," The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), 2017.

11. Han Sang Lee, Helen Hong, and Junmo Kim, "Mass Size Invariant Deep Feature Classification of Renal Fat-Poor Angiomyolipoma and Clear Cell Renal Cell Carcinoma in CT Images," The 14th IEEE International Symposium on Biomedical Imaging (ISBI 2017), 2017.

12. Hansang Lee and Junmo Kim, "Deep Learning Feature Classification for Predicting Treatment Decision: A Preliminary Study on Prostate Cancer Patients," The 25th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017), 2017.

13. Han Sang Lee, Helen Hong, Young Cheol Yoon, and Junmo Kim, "Automated Segmentation of Knee Cartilage from the MR Images using Sequential Multi-Atlas Registration and Shape-Constrained Locally-Weighted Voting for Quantitative Knee Joint Assessment," The 25th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017), 2017.

14. Woo Jin Hyung, Taeil Son, Minseok Park, Hansang Lee, Youn Nam Kim, Hyoung-Il Kim, Jong Won Kim, Jae-Ho Cheong, Seung Ho Choi, Sung Hoon Noh, and Junmo Kim, "Superior Prognosis Prediction Performance of Deep Learning for Gastric Cancer Compared to Yonsei Prognosis Prediction Model using Cox Regression," The 2017 Gastrointestinal Cancers Symposium (ASCO GI 2017), 2017.

15. Minseok Park*, Pyunghwan Ahn*, Han S. Lee*, and Junmo Kim, "Deep Interactive Image Segmentation with Multi-Channel Distance Maps," The 11th International Workshop on Roust Computer Vision (IWRCV 2016), 2016.

16. Han Sang Lee, Helen Hong, Dae Chul Jung, Seung Hyun Park, and Junmo Kim, "Quantitative Texture Classification for Differentiating Fat-Poor Angiomyolipoma from Renal Cell Carcinoma: Development of Feature Classification in MDCT Images," The 102nd Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2016), 2016. [Oral Presentation] 

17. Hansang Lee*, Minseok Park*, and Junmo Kim, "Transfer Learning with Under-Sampled Data for Super-Imbalanced Large Scale Data Set for Plankton Classification," The 4th International Workshop on Large Scale Visual Recognition and Retrieval (BigVision 2016), in Conjunction with the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), 2016. [Student Award]

18. Han Sang Lee, Helen Hong, Dae Chul Jung, Seung Hyun Park, and Junmo Kim, "Quantitative CT Texture Analysis and Classification of Small Renal Masses on Contrast-Enhanced CT Images," The 13th International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2016), 2016.

19. Hansang Lee and Junmo Kim, "Multi-Layered Atlas Registrations for Multi-Atlas Segmentation of Brain MRI," The 24th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2016), 2016.

20. Han Sang Lee, Hyeun A Kim, Hyeonjin Kim, Helen Hong, Young Cheol Yoon, and Junmo Kim, "Automated Multi-Atlas Segmentation of Cartilage from Knee MR Images using Locally-Weighted Voting and Graph Cuts," The 101st Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2015), 2015.

21. Hansang Lee and Junmo Kim, "Segmentation of Overlapping Cervical Cells with Nearest Nucleus Labeling and Graph Cuts," CVPR Workshop on BioImage Computing (CVPR-BIC 2015), in Conjunction with the 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), 2015.

22. Han Sang Lee, Hyuna Kim, Hyeonjin Kim, Helen Hong, Young Cheol Yoon, and Junmo Kim, "Multi-Atlas Segmentation of Femur and Femoral Cartilage in Knee MR Images," The 29th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2015), 2015.

23. Han S. Lee, Jiwhan Kim, Sun Jeong Park, and Junmo Kim, "Interactive Segmentation as Supervised Classification with Superpixels," CVPR Workshop on Computer Vision and Human Computation (CVHC 2014), in Conjunction with the 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), 2014.

Preprints (Technical Reports & arXiv Submissions)

1. Han S. Lee, Heechul Jung, Alex A. Agarwal, and Junmo Kim, "Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-Trained Classification Models," arXiv 1709.03806, 2017.

2. Han S. Lee, Alex A. Agarwal, and Junmo Kim, "Why Do Deep Neural Networks Still Not Recognize These Images?: A Qualitative Analysis on Failure Cases of ImageNet Classification," arXiv 1709.03439, 2017.

3. Minseok Park, Hanxiang Li, and Junmo Kim, "HARRISON: A Benchmark Dataset on Hashtag Recommendation for Real-World Images in Social Networks," arXiv 1605.05054v1, 2016. [GitHub]

International Patents

1. (Not yet)

Theses

1. Hansang Lee, "Deep Learning on Classifying Small Lesions from Small Datasets for Computer-Aided Diagnosis," Ph.D. Thesis, KAIST, 2019.

2. Hansang Lee, "Anterior Cruciate Ligament Segmentation in Knee MR Images with Superpixel Graph Cuts," M.S. Thesis, KAIST, 2013.

Domestic Journals (Korean)

1. Seon Young Lee, Julip Jung, Han Sang Lee, and Helen Hong, "Classification of Ground-Glass Opacity Nodules with Small Solid Components using Multiview Images and Texture Analysis in Chest CT Images," Journal of Korea Multimedia Society, Vol. 20, No. 7, pp. 994-1003, 2017.

2. Hyeonjin Kim, Hyeun A Kim, Han Sang Lee, and Helen Hong, "Hierarchical Organ Segmentation using Location Information Based on Multi-Atlas in Abdominal CT Images," Journal of Korea Multimedia Society, Vol. 19, No. 12, pp. 1960-1969, 2016.

3. Seung Hyun Park, Seungsoo Lee, Dae Chul Jung, Han Sang Lee, Helen Hong, Heejin Bae, Dae Keun Kim, and Koon Ho Eha, "Texture Analysis-Based Computer-Aided Differential Diagnosis of CT Images for Renal Mass Characterization," Journal of Korean Society of Imaging Informatics in Medicine (KSIIM), Vol. 22, pp. 15-22, 2016.

4. Hyeun A Kim, Hyeonjin Kim, Han Sang Lee, and Helen Hong, "Automatic Segmentation of Femoral Cartilage in Knee MR Images using Multi-Atlas-Based Locally-Weighted Voting," Journal of Korean Institute of Information Scientists and Engineers (KIISE), Vol. 43, No. 8, pp. 869-877, 2016. 

5. Han Sang Lee and Helen Hong, "Anterior Cruciate Ligament Segmentation in Knee MRI with Locally-Aligned Probabilistic Atlas and Iterative Graph Cuts," Journal of Korean Institute of Information Scientists and Engineers (KIISE), Vol. 42, No. 10, pp. 1222-1230, 2015.

6. Hansang Lee, Minseok Park, and Junmo Kim, "Deep Learning in Medical Imaging," Journal of Korean Society of Imaging Informatics in Medicine (KSIIM), Vol. 20, pp. 13-18, 2014.

7. Hansang Lee, Helen Hong, and Junmo Kim, "Anterior Cruciate Ligament Segmentation from Knee MR Images using Graph Cuts with Shape Priors," Journal of Korean Institute of Information Scientists and Engineers (KIISE): Software and Applications, Vol. 41, No. 1, pp. 36-45, 2014.

8. Joon-Mo Yang, Chunho Choi, Kwang-Sup Soh, Woo-Taek Lim, Hansang Lee, Seung-Byung Chae, Se-Yeol Yoon, Kyung-Il Lee, Eun-Seok Shin, and Sun-Mi Choi, "Delayed Luminescence Characteristics of Human Hands," Korean Journal of Optics and Photonics, Vol. 17, No. 1, pp. 81-88, 2006.

Domestic Conferences (Korean)

1. Minseok Park, Han S. Lee, Pyunghwan Ahn, and Junmo Kim, "Deep Neural Network-Based Interactive Image Segmentation using Distance Maps," In Proc. of the 29th Workshop on Image Processing and Image Understanding (IPIU 2017), 2017.

2. Hyeon Jin Kim, Hyeun A Kim, Han Sang Lee, and Helen Hong, "Hierarchical Multi-Atlas Segmentation of Organs in Abdominal CT Images," In Proc. of the Annual Spring Conference of Korea Multi-Media Society, 2016. [Best Paper Award]

3. Han S. Lee and Junmo Kim, "Photo-to-Sketch Transfer with StyleNet," In Proc. of the 28th Workshop on Image Processing and Image Understanding (IPIU 2016), 2016.

4. Hyeon Jin Kim, Hyeun A Kim, Han Sang Lee, and Helen Hong, "Automatic Similar Atlas Selection in Knee MR Images," In Proc. of the Annual Fall Conference of Korea Multi-Media Society, 2015.

5. Hyeun A Kim, Hyeon Jin Kim, Han Sang Lee, and Helen Hong, "Multi-Atlas Segmentation of Femoral Cartilage in Knee MR Images," In Proc. of the Annual Fall Conference of Korea Multi-Media Society, 2015.

6. Hansang Lee and Junmo Kim, "Interactive Image Segmentation via Binary Classification," In Proc. of the 27th Workshop on Image Processing and Image Understanding (IPIU 2015), 2015.

7. Hansang Lee, Jiwhan Kim, and Junmo Kim, "Global Image Saliency via Non-Redundant Feature Extraction," In Proc. of the 26th Workshop on Image Processing and Image Understanding (IPIU 2014), 2014.

8. Hansang Lee, So Jung Yun, Helen Hong, and Junmo Kim, "Automatic Detection of ACL-to-Bone Attachment Sites Based on ACL Segmentation in Knee MRI," In Proc. of the 26th Workshop on Image Processing and Image Understanding (IPIU 2014), 2014.

9. Helen Hong and Hansang Lee, "Graph Cut-Based Segmentation of ACL in Knee MRI," In Proc. of the Annual Conference of Korea Society of Imaging Informatics in Medicine, 2013.

10. Hansang Lee, Jiwhan Kim, and Junmo Kim, "Principal Component Analysis-Based Image Saliency Detection using Cluster Density Evaluation," In Proc. of the Annual Spring Conference of Korea Multi-Media Society, 16(1), pp.308-309, 2013.

11. Jiwhan Kim, Hansang Lee, and Junmo Kim, "Salient Region Detection using a Discriminative Color Transform Representation," In Proc. of the Annual Spring Conference of Korea Multi-Media Society, 16(1), pp.304-306, 2013.

12. Hansang Lee, So Jung Yun, Sandeul Kang, and Junmo Kim, "Saliency Detection via Random Sampling-Based Global Color Contrast," In Proc. of the 25th Workshop on Image Processing and Image Understanding (IPIU 2013), 2013.

13. Jiwhan Kim, Hansang Lee, and Junmo Kim, "Salient Region Detection using Compactness Measurement," In Proc. of the 25th Workshop on Image Processing and Image Understanding (IPIU 2013), 2013.

14. Hansang Lee, Su Sang Lee, and Junmo Kim, "Object Segmentation for Noisy Images," In Proc. of the Annual Summer Conference of Institute of Electrical Engineers in Korea, pp.2557-2559, 2011.

Domestic Patents (Korean)

1. Helen Hong, Hansang Lee, and Haeil Lee, "Method, Apparatus, and Program to Estimate Uncertainty Based on Test-Time Mixup Augmentation," Application ID No. 10-2021-0129581.

2. Helen Hong and Hansang Lee, "Medical Image Diagnosis Apparatus and Method for Diagnosing Medical Image," Application ID No. 10-2021-0105620.

3. Helen Hong, Hansang Lee, Jinsil Seong, and Jin Sung Kim, "Method for Predicting Tumor Treatment Response Based on Deep Learning," Registration ID No. 10-2280047 (Application ID No.10-2019-0125787).

4. Helen Hong, Hansang Lee, and Joon Seok Lim, "Method and Apparatus for Classification of Lesion Based on Learning Data Applying One or More Augmentation Method in Lesion Information Augmented Patch of Medical Image," Application ID No.10-2019-0044264.

5. Helen Hong and Hansang Lee, "A Method and Apparatus for Segmentation of Cartilages by using Bone-Cartilage Complex Modeling in MR Images," Registration ID No. 10-2236340 (Application ID No.10-2019-0036764).

6. Helen Hong and Han Sang Lee, "Apparatus and Method for Classification of Angiomyolipoma without Visible Fat and Clear Cell Renal Cell Carcinoma in CT Images using Deep Learning and Shape Features," Registration ID No.10-2058348 (Application ID No.10-2017-0155628).

7. Helen Hong, Han Sang Lee, Dae Chul Jung, Seung Hyun Park, "Method for Differentiation of Fat-Poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma in Contrast-Enhanced MDCT Images using Quantitative Feature Classification," Registration ID No.10-1824691 (Application ID No.10-2017-0002050).

8. Jun-Sung Park, Helen Hong, Han Sang Lee, Hyeun A Kim, Hyeonjin Kim, "Cartilage Segmentation Apparatus and the Method from Knee MR Images," Registration ID No.10-1769808 (Application ID No.10-2015-0162626).

9. Helen Hong and Han Sang Lee, "Anterior Cruciate Ligament Segmentation Method in Knee MRI and Apparatus," Registration ID No.10-1666834 (Application ID No.10-2015-0111603).

10. Helen Hong and Hansang Lee, "Anterior Cruciate Ligament Segmentation Apparatus and the Method from Knee MR Images," Registration ID No.10-1479845 (Application ID No.10-2013-0062311).