Davide Di Giuseppe

Orcid: 0000-0002-1731-8678

According to our database1, Davide Di Giuseppe authored at least 14 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2022
A Lab-on-a-Chip Based Automatic Platform for Continuous Nitrites Sensing in Aquaculture.
Sensors, 2022

2021
Metrological Characterization of a Pain Detection System Based on Transfer Entropy of Facial Landmarks.
IEEE Trans. Instrum. Meas., 2021

Rapid Manufacturing of Multilayered Microfluidic Devices for Organ on a Chip Applications.
Sensors, 2021

NeuriTES. Monitoring neurite changes through transfer entropy and semantic segmentation in bright-field time-lapse microscopy.
Patterns, 2021

Multi-scale generative adversarial network for improved evaluation of cell-cell interactions observed in organ-on-chip experiments.
Neural Comput. Appl., 2021

Integrating Machine Learning and Sensors for the Development of Organ-on-Chip Platforms for Medical Diagnosis.
Proceedings of the Sensors and Microsystems - Proceedings of AISEM 2021, 2021

2020
A Camera Sensors-Based System to Study Drug Effects on In Vitro Motility: The Case of PC-3 Prostate Cancer Cells.
Sensors, 2020

A microfluidic device for shape measurement in red blood cells (RBCs).
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

A Personalized Assessment Platform for Non-invasive Monitoring of Pain.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

2019
Calibration of Vision-Based Measurement of Pain Intensity With Multiple Expert Observers.
IEEE Trans. Instrum. Meas., 2019

The Influence of Uncertainty Contributions on Deep Learning Architectures in Vision-Based Evaluation Systems.
IEEE Trans. Instrum. Meas., 2019

Learning Cancer-Related Drug Efficacy Exploiting Consensus in Coordinated Motility Within Cell Clusters.
IEEE Trans. Biomed. Eng., 2019

Development of a Sensor Node for Remote Monitoring of Plants.
Sensors, 2019

2018
A Deep Learning Strategy for Vision-Based Evaluation on the Effect of Nanoparticles Exposure.
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018


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