10.1109/ICIP.2010.5652455Proceedings - International Conference on Image Processing, ICIP1897-190
Title: Computer predictions of cell movement Author: Vojtěch Bednář Department: Department of Applie...
Manual evaluation of fluorescent microscopy cell experiments is time-consuming and tedious work. The...
Current shape models are targeted at visual presentations for display and design. They lack the vali...
<p>Geometries are learned from images by CellOrganizer. Chemical reaction networks are generated fro...
This article presents a synthetic image set for validation of cell image analysis algorithms. To add...
This chapter describes approaches for learning models of subcellular organization from images. The p...
One of the most important motivations behind computer graphics research is the generation and displa...
A system of computer programs processes digitized images of cells. The gray value arrays are conside...
In this perspective, we examine three key aspects of an end-to-end pipeline for realistic cellular s...
(a) A 3D tissue geometry in which all 3D cells have the same shape index, p3D = 5.40, from the 3D Vo...
These images are for testing with the self-supervised machine learning demo code posted to GitHub. ...
<p>(A) Geometric representation of cells. Cell <i>a</i>, in isolation, is modeled as a disk. Cell <i...
Name: Cellpose model for Digital Phase Contrast images Data type: Cellpose model, trained via trans...
Name: Cellpose models for Brightfield and Digital Phase Contrast images Data type: Cellpose models ...
<p>The cell was modeled as a hemisphere with a radius of 7 μm. The height of the medium layer was 2....
Title: Computer predictions of cell movement Author: Vojtěch Bednář Department: Department of Applie...
Manual evaluation of fluorescent microscopy cell experiments is time-consuming and tedious work. The...
Current shape models are targeted at visual presentations for display and design. They lack the vali...
<p>Geometries are learned from images by CellOrganizer. Chemical reaction networks are generated fro...
This article presents a synthetic image set for validation of cell image analysis algorithms. To add...
This chapter describes approaches for learning models of subcellular organization from images. The p...
One of the most important motivations behind computer graphics research is the generation and displa...
A system of computer programs processes digitized images of cells. The gray value arrays are conside...
In this perspective, we examine three key aspects of an end-to-end pipeline for realistic cellular s...
(a) A 3D tissue geometry in which all 3D cells have the same shape index, p3D = 5.40, from the 3D Vo...
These images are for testing with the self-supervised machine learning demo code posted to GitHub. ...
<p>(A) Geometric representation of cells. Cell <i>a</i>, in isolation, is modeled as a disk. Cell <i...
Name: Cellpose model for Digital Phase Contrast images Data type: Cellpose model, trained via trans...
Name: Cellpose models for Brightfield and Digital Phase Contrast images Data type: Cellpose models ...
<p>The cell was modeled as a hemisphere with a radius of 7 μm. The height of the medium layer was 2....
Title: Computer predictions of cell movement Author: Vojtěch Bednář Department: Department of Applie...
Manual evaluation of fluorescent microscopy cell experiments is time-consuming and tedious work. The...
Current shape models are targeted at visual presentations for display and design. They lack the vali...
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