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Sugawara, Ko
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1

The Cell Tracking Challenge: 10 years of objective benchmar..:

Maška, Martin ; Ulman, Vladimír ; Delgado-Rodriguez, Pablo...
info:eu-repo/semantics/altIdentifier/wos/000999144000001.  , 2023
Link: https://publikationen.bi..
 
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2

Parhyale 3D segmentation dataset:

Alwes, Frederike ; Sugawara, Ko ; Averof, Michalis
doi:10.5281/zenodo.8238361.  , 2023
Link: https://zenodo.org/recor..
 
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3

The Cell Tracking Challenge: 10 years of objective benchmar..:

Maška, Martin ; Ulman, Vladimír ; Delgado-Rodriguez, Pablo...
oai:authors.library.caltech.edu:wve5d-2gn32.  , 2023
Link: https://doi.org/10.1038/..
 
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4

Supplementary Video 1: Training deep learning models for ce..:

Sugawara. Ko
doi:10.5281/zenodo.8020155.  , 2023
Link: https://zenodo.org/recor..
 
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5

Parhyale 3D segmentation dataset:

Alwes, Frederike ; Sugawara, Ko ; Averof, Michalis
doi:10.5281/zenodo.8238361.  , 2023
Link: https://zenodo.org/recor..
 
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6

The Cell Tracking Challenge: 10 years of objective benchmar..:

Maška, Martin ; Ulman, Vladimír ; Delgado-Rodriguez, Pablo...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333123/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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7

The Cell Tracking Challenge: 10 years of objective benchmar..:

Maška, Martin ; Ulman, Vladimír ; Delgado-Rodriguez, Pablo...
https://doi.org/10.1038/s41592-023-01879-y.  , 2023
Link: https://doi.org/10.1038/..
 
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8

Tracking cell lineages in 3D by incremental deep learning:

Sugawara, Ko ; Çevrim, Çağrı ; Averof, Michalis
info:eu-repo/semantics/altIdentifier/doi/10.7554/elife.69380.  , 2022
Link: https://cnrs.hal.science..
 
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9

Tracking cell lineages in 3D by incremental deep learning:

Sugawara, Ko ; Çevrim, Çağrı ; Averof, Michalis
info:eu-repo/semantics/altIdentifier/doi/10.7554/elife.69380.  , 2022
Link: https://cnrs.hal.science..
 
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10

Tracking cell lineages in 3D by incremental deep learning:

Sugawara, Ko ; Çevrim, Çağrı ; Averof, Michalis
info:eu-repo/semantics/altIdentifier/doi/10.7554/elife.69380.  , 2022
Link: https://cnrs.hal.science..
 
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11

Tracking cell lineages in 3D by incremental deep learning:

Sugawara, Ko ; Cevrim, Cagri ; Averof, Michalis
info:eu-repo/semantics/altIdentifier/doi/10.1101/2021.02.26.432552.  , 2021
Link: https://hal.archives-ouv..
 
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12

Star-convex Polyhedra for 3D Object Detection and Segmentat..:

Weigert, Martin ; Schmidt, Uwe ; Haase, Robert..
http://arxiv.org/abs/1908.03636.  , 2019
Link: http://arxiv.org/abs/190..
 
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13

一分子蛍光イメージング法を用いたストレス顆粒内mRNAの局在・運動ナノスケール解析:

菅原, 皓 ; 145076 ; Sugawara, Ko
甲第32881号.  , 2016
Link: https://repository.dl.it..
 
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14

Direct observation of cytoskeleton-dependent trafficking of..:

Toshinari Ishikawa ; Ko Sugawara ; Junwei Zhang..
http://www.sciencedirect.com/science/article/pii/S2589004224000324.  , 2024
Link: https://doi.org/10.1016/..
 
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15

Tracking cell lineages in 3D by incremental deep learning:

Ko Sugawara ; Çağrı Çevrim ; Michalis Averof
https://elifesciences.org/articles/69380.  , 2022
Link: https://doi.org/10.7554/..
 
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