Seungil Huh


Robotics Institute
Carnegie Mellon University

Email: seungilh at cs.cmu.edu
Office: EDSH 214


BIO

I'm currently a Ph.D. student in the Robotics Institute at Carnegie Mellon University. Previously, I received my B.S. in compute science and engineering from Seoul National University. I joined CMU in 2007.


RESEARCH

I'm interested in computer vision and machine learning, advised by Prof. Takeo Kanade and Prof. Stephen Fienberg, respectively. In computer vision, I focus on live cell microscopy video analysis, particularly, detection of celluar events--mitosis (cell division), apoptosis (cell death), and differentiation--and tracking of cells. In machine learning, I develop temporal dynamic models and manifold learning algorithms.


PUBLICATIONS

Journals
Cell Segmentation in Phase Contrast Microscopy Images via Semi-supervised Classification over Optics-related Features (To appear)
H. Su, Z. Yin, S. Huh, and T. Kanade
Medical Imaging Analysis
Discriminative Topic Modeling based on Manifold Learning (pdf) (codes)
S. Huh and S. Fienberg
ACM Trans. Knowl. Discov. Data, 5, 4, Article 20, 2012.
Automating the Decision Process for Real-Time Adaptive Subculture of Stem Cells (pdf)
D.F.E. Ker, L.E. Weiss, S.N. Junkers, M. Chen, Z. Yin, M.F. Sandboth, S. Huh, S. Eom, R. Bise, E. Osuna-Highley, T. Kanade, and P.G. Campbell
PLoS ONE 6, 11, pg. e27672, 2011.
Automated Mitosis Detection of Stem Cell Populations in Phase-Contrast Microscopy Images (pdf)(data)(annotation)
S. Huh, D.F.E. Ker, R. Bise, M. Chen, and T. Kanade
IEEE Trans. Med. Imaging, 30(3):586–596, 2011.

Linear Discriminant Analysis for Signatures (pdf)
S. Huh and D. LEE
IEEE Trans. Neural Networks, 21(12):1990–1996, 2010.
Efficient Framework for Automated Classification of Subcellular Patterns in Budding Yeast (pdf)
S. Huh, D. Lee, and R. F. Murphy
Cytometry A, 75(11):934-40, 2009.

Conference proceedings
Cell Segmentation via Spectral Analysis on Phase Retardation Features (pdf)
H. Su, Z, Yin, S. Huh, and T. Kanade
In Proc. IEEE International Symposium on Biomedical Imaging (ISBI'13), pages 1469-1475, 2013.
Apoptosis Detection for Adherent Cell Populations in Time-lapse Phase-contrast Microscopy Images (pdf) (data)(annotation)
S. Huh, D.E.F. Ker, H. Su, and T. Kanade
In Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'12), pages 331-339, 2012.

Phase Contrast Image Restoration Via Dictionary Representation of Diffraction Patterns (pdf)
H. Su, Z, Yin, T. Kanade, and S. Huh
In Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'12), pages 615-622, 2012.

(After the camera-ready version submission, we found that one term was missing in Eqs (5) and (6). The error was fixed in this pdf file.)

Mitosis Detection of Hematopoietic Stem Cell Populations in Time-lapse Phase-contrast Microscopy Images (pdf) (data)(annotation)
S. Huh, S. Eom, D.F.E. Ker, L. Weiss, and T. Kanade
In Proc. IEEE International Symposium on Biomedical Imaging (ISBI'12), pages 390-393, 2012.
Automatic Cell Tracking Applied to Analysis of Cell Migration in Wound Healing Assay (pdf)
R. Bise, T. Kanade, Z. Yin, and S. Huh
In Proc. IEEE Engineering in Medicine & Biology Society (EMBS'11), pages 6174-6179, 2011.
Detection of Mitosis within a Stem Cell Population of High Cell Confluence in Phase-Contrast Microscopy Images (pdf)(data)(annotation)
S. Huh and M. Chen
In Proc. IEEE Computer Vision and Pattern Recognition (CVPR'11), pages 1033-1040, 2011. (A journal version is under review.)

Mitosis Detection for Stem Cell Tracking in Phase-Contrast Microscopy Images (pdf)(data)(detailed quantitative results)
S. Huh, S. Eom, R. Bise, Z. Yin, and T. Kanade
In Proc. IEEE International Symposium on Biomedical Imaging (ISBI'11), pages 2121-2127, 2011.

Cell Image Analysis: Algorithms, System and Applications (pdf)
T. Kanade, Z. Yin, R. Bise, S. Huh, S. Eom, M. F. Sandbothe, and M. Chen
In Proc. IEEE Workshop on Applications of Computer Vision (WACV'11), pages 374-381, 2011.
Discriminative Topic Modeling based on Manifold Learning (pdf)
S. Huh and S. E. Fienberg
In Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD'10), pages 653-661, 2010.