Search Results - "Xie, Jinbin"
-
1
Analysis of the Human Protein Atlas Image Classification competition
Published in Nature methods (01-12-2019)“…Pinpointing subcellular protein localizations from microscopy images is easy to the trained eye, but challenging to automate. Based on the Human Protein Atlas…”
Get full text
Journal Article -
2
Author Correction: Analysis of the Human Protein Atlas Image Classification competition
Published in Nature methods (01-09-2020)“…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
Get full text
Journal Article -
3
Publisher Correction: Analysis of the Human Protein Atlas Image Classification competition
Published in Nature methods (01-02-2020)“…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
Get full text
Journal Article -
4
Diffuse correlation spectroscopy towards dynamic topography of blood flow index in deep tissues: A multi-channel system and experiment validation
Published in Infrared physics & technology (01-06-2020)“…•DCS system fordynamictopographyofbloodflowindeeptissues.•Aprior-guidedmodelfittingprocedureforrealtimeblood flow…”
Get full text
Journal Article -
5
Analysis of the Human Protein Atlas Image Classification competition (vol 54, pg 2112, 2019)
Published in Nature methods (01-02-2020)“…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
Get full text
Journal Article -
6
Analysis of the Human Protein Atlas Image Classification competition (vol 16, pg 1254, 2019)
Published in Nature methods (2020)Get full text
Journal Article -
7
Publisher Correction: Analysis of the Human Protein Atlas Image Classification competition
Published in Nature methods (2020)“…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
Get full text
Journal Article -
8
Attention-Aware Generalized Mean Pooling for Image Retrieval
Published 31-10-2018“…It has been shown that image descriptors extracted by convolutional neural networks (CNNs) achieve remarkable results for retrieval problems. In this paper, we…”
Get full text
Journal Article