Dai Fei Elmer Ker

12 papers Journal 5Unranked 7
YearRankTypeTitle / Venue / Authors
2021 J jnl
Weakly supervised cell instance segmentation under various conditions.
Medical Image Anal.
Kazuya Nishimura, Chenyang Wang, Kazuhide Watanabe, Dai Fei Elmer Ker, Ryoma Bise
2020 — conf
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation.
ECCV (12)
Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise
2020 J jnl
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation.
CoRR
Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise
2019 — conf
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response.
MICCAI (1)
Kazuya Nishimura, Dai Fei Elmer Ker, Ryoma Bise
2019 J jnl
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response.
CoRR
Kazuya Nishimura, Dai Fei Elmer Ker, Ryoma Bise
2015 J jnl
Cell-sensitive phase contrast microscopy imaging by multiple exposures.
Medical Image Anal.
Zhaozheng Yin, Hang Su, Dai Fei Elmer Ker, Mingzhong Li, Haohan Li
2014 — conf
Cell-Sensitive Microscopy Imaging for Cell Image Segmentation.
MICCAI (1)
Zhaozheng Yin, Hang Su, Dai Fei Elmer Ker, Mingzhong Li, Haohan Li
2012 — conf
Apoptosis Detection for Adherent Cell Populations in Time-Lapse Phase-Contrast Microscopy Images.
MICCAI (1)
Seungil Huh, Dai Fei Elmer Ker, Hang Su, Takeo Kanade
2012 — conf
Mitosis detection of hematopoietic stem cell populations in time-lapse phase-contrast microscopy images.
ISBI
Seungil Huh, Sungeun Eom, Dai Fei Elmer Ker, Lee E. Weiss, Takeo Kanade
2011 J jnl
Automated Mitosis Detection of Stem Cell Populations in Phase-Contrast Microscopy Images.
IEEE Trans. Medical Imaging
Seungil Huh, Dai Fei Elmer Ker, Ryoma Bise, Mei Chen, Takeo Kanade
2011 — conf
Data-driven prediction of stem cell expansion cultures.
EMBC
Zhaozheng Yin, Dai Fei Elmer Ker, Silvina Junkers, Takeo Kanade, Mei Chen, Lee E. Weiss, Phil G. Campbell
2011 — conf
Restoring DIC Microscopy Images from Multiple Shear Directions.
IPMI
Zhaozheng Yin, Dai Fei Elmer Ker, Takeo Kanade