Seungil Huh

According to our database, Seungil Huh authored at least 18 papers between 2011 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Interactive Cell Segmentation Based on Active and Semi-Supervised Learning.

Hang Su, Zhaozheng Yin, Seungil Huh, Takeo Kanade, Jun Zhu

IEEE Trans. Medical Imaging, 2016

2015

Active sample selection and correction propagation on a gradually-augmented graph.

Hang Su, Zhaozheng Yin, Takeo Kanade, Seungil Huh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Interactive cell segmentation based on correction propagation.

Hang Su, Zhaozheng Yin, Takeo Kanade, Seungil Huh

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Toward an Automated System for the Analysis of Cell Behavior: Cellular Event Detection and Cell Tracking in Time-lapse Live Cell Microscopy.

Seungil Huh

PhD thesis, 2013

Cell segmentation in phase contrast microscopy images via semi-supervised classification over optics-related features.

Hang Su, Zhaozheng Yin, Seungil Huh, Takeo Kanade

Medical Image Anal., 2013

Discriminative Data Transform for Image Feature Extraction and Classification.

Yang Song, Weidong Cai, Seungil Huh, Mei Chen, Takeo Kanade, Yun Zhou, Dagan Feng

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Efficient Phase Contrast Microscopy Restoration Applied for Muscle Myotube Detection.

Seungil Huh, Hang Su, Mei Chen, Takeo Kanade

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Apoptosis Detection for Non-adherent Cells in Time-lapse Phase Contrast Microscopy.

Seungil Huh, Takeo Kanade

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Cell segmentation via spectral analysis on phase retardation features.

Hang Su, Zhaozheng Yin, Seungil Huh, Takeo Kanade

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Discriminative Topic Modeling Based on Manifold Learning.

Seungil Huh, Stephen E. Fienberg

ACM Trans. Knowl. Discov. Data, 2012

Phase Contrast Image Restoration via Dictionary Representation of Diffraction Patterns.

Hang Su, Zhaozheng Yin, Takeo Kanade, Seungil Huh

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Apoptosis Detection for Adherent Cell Populations in Time-Lapse Phase-Contrast Microscopy Images.

Seungil Huh, Dai Fei Elmer Ker, Hang Su, Takeo Kanade

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Mitosis detection of hematopoietic stem cell populations in time-lapse phase-contrast microscopy images.

Seungil Huh, Sungeun Eom, Dai Fei Elmer Ker, Lee E. Weiss, Takeo Kanade

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Automated Mitosis Detection of Stem Cell Populations in Phase-Contrast Microscopy Images.

Seungil Huh, Dai Fei Elmer Ker, Ryoma Bise, Mei Chen, Takeo Kanade

IEEE Trans. Medical Imaging, 2011

Cell image analysis: Algorithms, system and applications.

Takeo Kanade, Zhaozheng Yin, Ryoma Bise, Seungil Huh, Sungeun Eom, Michael F. Sandbothe, Mei Chen

Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Mitosis detection for stem cell tracking in phase-contrast microscopy images.

Seungil Huh, Sungeun Eom, Ryoma Bise, Zhaozheng Yin, Takeo Kanade

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Automatic cell tracking applied to analysis of cell migration in wound healing assay.

Ryoma Bise, Takeo Kanade, Zhaozheng Yin, Seungil Huh

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Detection of mitosis within a stem cell population of high cell confluence in phase-contrast microscopy images.

Seungil Huh, Mei Chen

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011