Luca Pasquini

According to our database, Luca Pasquini authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization.

Joseph N. Stember, Katharine Dishner, Mehrnaz Jenabi, Luca Pasquini, Kyung K. Peck, Atin Saha, Akash Shah, Bernard O'malley, Ahmet Turan Ilica, Lori Kelly, Julio Arevalo-Perez, Vaios Hatzoglou, Andrei I. Holodny, Hrithwik Shalu

J. Imaging Inform. Medicine, 2025

2023

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

Alberto Di Napoli, Emanuela Tagliente, Luca Pasquini, Enrica Cipriano, Filomena Pietrantonio, Piermaria Ortis, Simona Curti, Alessandro Boellis, Teseo Stefanini, Antonio Bernardini, Chiara Angeletti, Sofia Chiatamone Ranieri, Paola Franchi, Ioan Paul Voicu, Carlo Capotondi, Antonio Napolitano

J. Digit. Imaging, April, 2023

2022

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

Joseph N. Stember, Mehrnaz Jenabi, Luca Pasquini, Kyung K. Peck, Andrei I. Holodny, Hrithwik Shalu

CoRR, 2022

Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder.

Joseph N. Stember, Danielle M. Stember, Luca Pasquini, Mehrnaz Jenabi, Andrei I. Holodny, Hrithwik Shalu

CoRR, 2022

2021

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

Luca Pasquini, Antonio Napolitano, Martina Lucignani, Emanuela Tagliente, Francesco Dellepiane, Maria Camilla Rossi-Espagnet, Matteo Ritrovato, Antonello Vidiri, Veronica Villani, Giulio Ranazzi, Antonella Stoppacciaro, Andrea Romano, Alberto Di Napoli, Alessandro Bozzao

CoRR, 2021

Agile workflow for interactive analysis of mass cytometry data.

Julia Casado, Oskari Lehtonen, Ville Rantanen, Katja Kaipio, Luca Pasquini, Antti Häkkinen, Elenora Petrucci, Johanna Hynninen, Sakari Hietanen, Olli Carpén, Mauro Biffoni, Anniina Färkkilä, Sampsa Hautaniemi

Bioinform., 2021

2020

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

Antti Häkkinen, Juha Koiranen, Julia Casado, Katja Kaipio, Oskari Lehtonen, Eleonora Petrucci, Johanna Hynninen, Sakari Hietanen, Olli Carpén, Luca Pasquini, Mauro Biffoni, Rainer Lehtonen, Sampsa Hautaniemi

Bioinform., 2020