3 papers
cs.CV2022
3D Neuron Morphology Analysis
Jiaxiang Jiang, Michael Goebel, Cezar Borba +2
We consider the problem of finding an accurate representation of neuron shapes, extracting sub-cellular features, and classifying neurons based on neuron shapes. In neuroscience re…
cs.CV2022
Deep Learning Enabled Time-Lapse 3D Cell Analysis
Jiaxiang Jiang, Amil Khan, S. Shailja +4
This paper presents a method for time-lapse 3D cell analysis. Specifically, we consider the problem of accurately localizing and quantitatively analyzing sub-cellular features, and…
cs.CV2020
Semi supervised segmentation and graph-based tracking of 3D nuclei in time-lapse microscopy
S. Shailja, Jiaxiang Jiang, B. S. Manjunath
We propose a novel weakly supervised method to improve the boundary of the 3D segmented nuclei utilizing an over-segmented image. This is motivated by the observation that current…