3 papers
q-bio.GN2024
TEPI: Taxonomy-aware Embedding and Pseudo-Imaging for Scarcely-labeled Zero-shot Genome Classification
Sathyanarayanan Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy +1
A species' genetic code or genome encodes valuable evolutionary, biological, and phylogenetic information that aids in species recognition, taxonomic classification, and understand…
eess.IV2023
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition
Shubham Trehan, Udhav Ramachandran, Ruth Scimeca +1
Developing reliable computational frameworks for early parasite detection, particularly at the ova (or egg) stage is crucial for advancing healthcare and effectively managing poten…
cs.CV2023
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis
Shenyuan Liang, Mauricio Pamplona Segundo, Sathyanarayanan N. Aakur +2
This paper focuses on the statistical analysis of shapes of data objects called shape graphs, a set of nodes connected by articulated curves with arbitrary shapes. A critical need…