Research output per year
Research output per year
Personal profile
Education
- 2014 Ph.D., Seoul National University
- 2008 B.S., Yonsei Universtiy
- 2008 B.S., Yonsei Universtiy
Professional Experience
- 2017-present Assistant/Associate Professor, Department of Robotics and Mechatronics, DGIST
- 2016-2017 Postdoctoral Fellow, SRI International
- 2014-2016 Postdoctoral Fellow, University of North Carolina
- 2016-2017 Postdoctoral Fellow, SRI International
- 2014-2016 Postdoctoral Fellow, University of North Carolina
Research Interests
- Medical image analysis
- Computer vision
- Machine learning
- Computer vision
- Machine learning
Major Research Achievements
- “Weakly Supervised Segmentation on Neural Compressed Histopathology with Self-Equivariant Regularization,” Medical Image Analysis, 2022.
- "Dual Attention Multiple Instance Learning with Unsupervised Complementary Loss for COVID-19 Screening, " Medical Image Analysis, 2021
- Winning the 1st rank in the MICCAI 2018 MRBrainS Challenge
- "Dual Attention Multiple Instance Learning with Unsupervised Complementary Loss for COVID-19 Screening, " Medical Image Analysis, 2021
- Winning the 1st rank in the MICCAI 2018 MRBrainS Challenge
URL
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Context-Guided Medical Visual Question Answering
Arsalane, W., Chikontwe, P., Luna, M., Kang, M. & Park, S. H., 2025, Medical Information Computing - First MICCAI Meets Africa Workshop, MImA 2024, and First MICCAI Student Board Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024, Held in Conjunction with MICCAI 2024, Revised Selected Papers. Anazodo, U., Akash, N., Fuchs, M., Cintas, C., Crimi, A., Mutsvangwa, T., Dako, F. & Ogallo, W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 245-255 11 p. (Communications in Computer and Information Science; vol. 2240).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation
Kang, M., Chikontwe, P., Kim, S., Jin, K. H., Adeli, E., Pohl, K. M. & Park, S. H., Oct 2025, In: Medical Image Analysis. 105, 103714.Research output: Contribution to journal › Article › peer-review
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FR-MIL: Distribution Re-Calibration-Based Multiple Instance Learning With Transformer for Whole Slide Image Classification
Chikontwe, P., Kim, M., Jeong, J., Jung Sung, H., Go, H., Jeong Nam, S. & Park, S. H., 2025, In: IEEE Transactions on Medical Imaging. 44, 1, p. 409-421 13 p.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Lumbar Spinal Stenosis Grading in Multiple Level Magnetic Resonance Imaging Using Deep Convolutional Neural Networks
Won, D., Lee, H. J., Lee, S. J. & Park, S. H., May 2025, In: Global Spine Journal. 15, 4, p. 2309-2317 9 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation
Luna, M., Chikontwe, P., Nam, S. & Park, S. H., Mar 2024, In: Computers in Biology and Medicine. 170, 108015.Research output: Contribution to journal › Article › peer-review
6 Scopus citations