Renata Retkutė

Vision Normalizing Flows for the probability-informed detection of banana diseases from in-field images

The paper develops a vision normalizing flow model to detect banana diseases from in-field images with high accuracy, using pre-trained embeddings and probabilistic density estimation.

Observation-masked neural posterior estimation for heterogeneous epidemiological surveillance data

The paper introduces OM-NPE, a Bayesian inference framework for heterogeneous epidemiological data, demonstrating its ability to recover parameters and uncertainties efficiently.

Parameterisation of epidemiological models from small field experiments: a case study of banana bunchy top virus transmission

The paper estimates epidemiological parameters of banana bunchy top virus from small field experiments using a Bayesian framework, showing parameter estimates generalize across regions and identifying key transmission risks.

Sustaining smallholder banana production in Banana Bunchy Top Disease endemic landscapes: integrating clean seed, roguing, and farmer training

This study evaluates strategies to sustain banana production in areas affected by Banana Bunchy Top Disease by integrating clean seed programs, roguing, and farmer training.

Cost-effective early detection of banana bunchy top disease: insights from spatio-temporal modelling in Benin

The paper uses spatio-temporal modeling to evaluate cost-effective strategies for early detection of banana bunchy top disease in Benin, finding that early detection is expensive but feasible with optimized sampling.

Controlling Banana Bunchy Top Disease in Benin: crop protection strategies with socioeconomic perspectives

This study evaluates BBTV dynamics in Benin using satellite data, field surveys, and modeling, identifying high-risk areas and effective control strategies.

Cell-to-cell and type-to-type heterogeneity of signaling networks: Insights from the crowd

The paper organizes a DREAM challenge to benchmark predictive models of single-cell signaling using mass cytometry data from breast cancer cell lines.

Modeling of DNA replication in rapidly growing bacteria with one and two replication origins

The paper models DNA replication in bacteria with one and two origins, predicting replication profile gradients and altered parameters in double origin strains.