Conference & Workshop Publications

  1. Asaduz Zaman, Sang Hyun Park, Luna Miguel, Youngkyun Park, Hyunhee Bang, Chul-woo Park, Ilhuyng Park, Sanghyun Joung,"Real-time 3D Ultrasound Bone Model Reconstruction and Its Registration with MR Bone Model for Localization of Intramedullary Cystic Bone Lesion", ACCAS, 2019.
  2. Miguel Luna, Mungi Kwon, Sang Hyun Park, "Precise Separation of Adjacent Nuclei using a Siamese Neural Network," MICCAI, 2019.
  3. Ihsan Ullah, Philip ChikonTwe, Sang Hyun Park, "Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks," MICCAI PRIME workshop, 2019.
  4. Ihsan Ullah, Philip Chikontwe, Sang Hyun Park, "Guidewire Tip Tracking using U-Net with Shape and Motion Constraints," ICAIIC, 2019.
  5. Miguel Luna, Sang Hyun Park, "3D Patchwise U-Net with Transition Layers for MR Brain Segmentation," MRBrainS18 Challenge, MICCAI, 2018. (Ranked 1st out of 22 teams) ๐Ÿ’กGithub Code ๐Ÿ“„Article
  6. Euijin Jung, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park, "Enhancement of Perivascular Spaces using a Very Deep 3D Dense Network", PRIME Workshop, MICCAI, 2018.
  7. Miguel Luna, Mungi Kwon, Sang Hyun Park, "Nuclei Segmentation by using Deep Learning based Watershed Algorithm," CPM Nuclei Segmentation Challenge, MICCAI, 2018. (Ranked 8th out of 27 teams)
  8. Miguel Luna, Sang Hyun Park, "3D Convolutional Neural Network with Skip Connections for WMH Segmentation," WMH Challenge, MICCAI, 2017. (Ranked 6th out of 20 teams)
  9. Yong Zhang*, Sang Hyun Park*(co-first author), and Kilian Pohl, "Joint Data Harmonization and Group Cardinality Constrained Classification," MICCAI, 2016.
  10. Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, and Dinggang Shen, "Regression Guided Deformable Modelsfor Segmentation of Multiple Brain ROIs," Machine Learning in Medical Imaging, 2016.
  11. Jun Zhang, Sang Hyun Park, XiaopengZong, Weili Lin, and Dinggang Shen, "Segmentation of Perivascular SpacesUsing Vascular Features and Structured Random Forest from 7T MR Image," Machine Learning in Medical Imaging, 2016.
  12. Sang Hyun Park, Xiaohuan Cao, Sheng-Che Huang, Xiaopeng Zong, Valerie Jewells, Weili Lin, Hae Won Shin, Dinggang Shen, "Registering Post-Op CT and Pre-Op MR Images for Accurate Localization of Intraoperative EEG Electrodes," ASNR 2016.
  13. Xiaopeng Zong, Hae Won Shin, Sang Hyun Park, Xiaohuan Cao, Sonya Todorova, Valerie Jewells, Sheng-Che Huang, Hongyu An, Dinggang Shen, Weili Lin, "Coupling of FDG uptake and CBF using simultaneous MR-PET measurements in human temporal lobe epilepsy," ASNR 2016.
  14. Xiaopeng Zong, Hae Won Shin, Sang Hyun Park, Xiaohuan Cao, Sonya Todorova, Valerie Jewells, Sheng-Che Huang, Hongyu An, Dinggang Shen, Weili Lin, "Hybrid PET/MR shows reduced CBF and glucose uptake in Subdural Electrode Identified Seizure Foci," ASNR 2016.
  15. Sang Hyun Park, Yaozong Gao, Dinggang Shen, "Multi-atlas based Segmentation Editing with Interaction-Guided Constraints," MICCAI 2015.
  16. Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen, "Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization," Machine Learning in Medical Imaging, 2014.
  17. Sang Hyun Park, Seungyeon Shin, Il Dong Yun, Sang Uk Lee, "Automatic Segmentation of Multiple Objects in Medical Images based on Structured Patch Model," SATA challenge, MICCAI workshop 2013.
  18. Sang Hyun Park, Il Dong Yun, Sang Uk Lee, "Data-driven Interactive 3D Medical Image Segmentation based on Structured Patch Model," IPMI 2013.
  19. Sang Hyun Park, Il Dong Yun, "Interactive 3D Segmentation Method based on Uncertain Local Region Updating in Hierarchical MRF Graph," SPIE Medical imaging 2013.
  20. Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee, "Automatic bone segmentation in knee magnetic resonance images using a coarse-to-fine strategy," SPIE Medical imaging 2012.
  21. Soochahn Lee, Hackjoon Shim, Sang Hyun Park, Il Dong Yun, Sang Uk Lee, "Learning Local Shape and Appearance for Segmentation of Knee Cartilage in 3D MRI," Medical Image Analysis for the Clinic - Grand Challenge, MICCAI workshop 2010.
  22. Sang Hyun Park, Soochahn Lee, Hackjoon Shim, Il Dong Yun, Sang Uk Lee, Kyoung-Ho Lee, and g-Sik Kang and Joon-Koo Han, "Fully Automatic 3-D Segmentation of Knee Bone Compartments by Iterative Local Branch-and-Mincut on MR Images FromOsteoarthritisInitiative(OAI)," ICIP 2009.
  23. Soochahn Lee, Hackjoon Shim, Sang Hyun Park, Il Dong Yun, Sang Uk Lee, "3-D Segmentation of Knee Bones on MR images by Constrained Branch-and-Mincut," Probabilistic Models for Medical Image Analysis, MICCAI workshop 2009.

Domestic Conference

  1. Philip Chikontwe, Ihsan Ullah, Sang Hyun Park, โ€œRecurrent Attention Models for Tissue Histopathology Image Classificationโ€, IPIU 2019.
  2. Mungi Kwon, Miguel Luna, Sang Hyun Park, โ€œ๋”ฅ๋Ÿฌ๋‹ ๊ธฐ๋ฐ˜ ์›Œํ„ฐ์‰๋“œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ด์šฉํ•œ ์„ธํฌ ๋ถ„ํ•  ๊ธฐ๋ฒ•โ€, IPIU 2019.
  3. Gyeongmin Lee, Euijin Jung, Sang Hyun Park, โ€œํด๋ž˜์Šคํ™œ์„ฑ์ง€๋„๋ฅผ ์ด์šฉํ•œ ์•ˆ๊ตฌ ์งˆํ™˜์— ๋”ฐ๋ฅธ ๊ด‘๊ฐ„์„ญ๋‹จ์ธต์˜์ƒ ๋‚ด ํŠน์ง• ์ถ”์ถœโ€, IPIU 2019.
  4. Donggyu Won, Sang Hyun Park, "์˜๋ฃŒ์˜์ƒ ๋‚ด ๊ด€์‹ฌ ์˜์—ญ์„ ํšจ์œจ์ ์œผ๋กœ ๋ ˆ์ด๋ธ”๋ง ํ•˜๊ธฐ ์œ„ํ•œ ์•กํ‹ฐ๋ธŒ ๋Ÿฌ๋‹ ๊ธฐ๋ฐ˜ ์˜์—ญํ™” ๋ชจ๋ธ ์—…๋ฐ์ดํŠธ ๊ธฐ๋ฒ•", ACKSMR 2018. (Best Poster Award)
  5. Euijin Jung, Miguel Luna, Sang Hyun Park, "๋ฐ˜์ง€๋„ํ•™์Šต์„ ์‚ฌ์šฉํ•œ ํ•ฉ์„ฑ๊ณฑ ์‹ ๊ฒฝ๋ง ๋ฌด๋ฆŽ์—ฐ๊ณจ ์˜์—ญํ™”", IPIU 2018. (Best Poster Award)
  6. Miguel Luna, Euijin Jung, Sang Hyun Park, "๋”ฅ ๋‰ด๋Ÿด ๋„คํŠธ์›Œํฌ๋ฅผ ์ด์šฉํ•œ MR ์˜์ƒ ๋‚ด์˜ ๋‡Œ๋ฐฑ์งˆ ๊ณ ๊ฐ•๋„ ์‹ ํ˜ธ์˜ ์ž๋™ ์ถ”์ถœ", IPIU 2018. (Bronze Paper Award)
  7. Ihsan Ullah, Sang Hyun Park, "Catheter Tip Segmentation Using Patch-wise UNET", IPIU 2018.