Luca Pasquini

Orcid: 0000-0002-3484-6288

According to our database1, Luca Pasquini authored at least 6 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients.
J. Digit. Imaging, April, 2023

2022
Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices.
CoRR, 2022

Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder.
CoRR, 2022

2021
Comparison of Machine Learning Classifiers to Predict Patient Survival and Genetics of GBM: Towards a Standardized Model for Clinical Implementation.
CoRR, 2021

Agile workflow for interactive analysis of mass cytometry data.
Bioinform., 2021

2020
qSNE: quadratic rate t-SNE optimizer with automatic parameter tuning for large datasets.
Bioinform., 2020


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