6 citations · 8 across the 5 of their papers we have counts for
5 papers
ReeSPOT: Reeb Graph Models Semantic Patterns of Normalcy in Human Trajectories
Bowen Zhang, S. Shailja, Chandrakanth Gudavalli +3
This paper introduces ReeSPOT, a novel Reeb graph-based method to model patterns of life in human trajectories (akin to a fingerprint). Human behavior typically follows a pattern o…
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…
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results
Nina Miolane, Matteo Caorsi, Umberto Lupo +30
This paper presents the computational challenge on differential geometry and topology that happened within the ICLR 2021 workshop "Geometric and Topological Representation Learning…
A computational geometry approach for modeling neuronal fiber pathways
S. Shailja, Angela Zhang, B. S. Manjunath
We propose a novel and efficient algorithm to model high-level topological structures of neuronal fibers. Tractography constructs complex neuronal fibers in three dimensions that e…
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…